---
_id: '14355'
abstract:
- lang: eng
  text: 'Purpose: The mediator (MED) multisubunit-complex modulates the activity of
    the transcriptional machinery, and genetic defects in different MED subunits (17,
    20, 27) have been implicated in neurologic diseases. In this study, we identified
    a recurrent homozygous variant in MED11 (c.325C>T; p.Arg109Ter) in 7 affected
    individuals from 5 unrelated families. Methods: To investigate the genetic cause
    of the disease, exome or genome sequencing were performed in 5 unrelated families
    identified via different research networks and Matchmaker Exchange. Deep clinical
    and brain imaging evaluations were performed by clinical pediatric neurologists
    and neuroradiologists. The functional effect of the candidate variant on both
    MED11 RNA and protein was assessed using reverse transcriptase polymerase chain
    reaction and western blotting using fibroblast cell lines derived from 1 affected
    individual and controls and through computational approaches. Knockouts in zebrafish
    were generated using clustered regularly interspaced short palindromic repeats/Cas9.
    Results: The disease was characterized by microcephaly, profound neurodevelopmental
    impairment, exaggerated startle response, myoclonic seizures, progressive widespread
    neurodegeneration, and premature death. Functional studies on patient-derived
    fibroblasts did not show a loss of protein function but rather disruption of the
    C-terminal of MED11, likely impairing binding to other MED subunits. A zebrafish
    knockout model recapitulates key clinical phenotypes. Conclusion: Loss of the
    C-terminal of MED subunit 11 may affect its binding efficiency to other MED subunits,
    thus implicating the MED-complex stability in brain development and neurodegeneration.
    (C) 2022 The Authors. Published by Elsevier Inc. on behalf of American College
    of Medical Genetics and Genomics.'
article_processing_charge: No
article_type: original
author:
- first_name: Elisa
  full_name: Cali, Elisa
  last_name: Cali
- first_name: Sheng-Jia
  full_name: Lin, Sheng-Jia
  last_name: Lin
- first_name: Clarissa
  full_name: Rocca, Clarissa
  last_name: Rocca
- first_name: Yavuz
  full_name: Sahin, Yavuz
  last_name: Sahin
- first_name: Aisha
  full_name: Al Shamsi, Aisha
  last_name: Al Shamsi
- first_name: Salima
  full_name: El Chehadeh, Salima
  last_name: El Chehadeh
- first_name: Myriam
  full_name: Chaabouni, Myriam
  last_name: Chaabouni
- first_name: Kshitij
  full_name: Mankad, Kshitij
  last_name: Mankad
- first_name: Evangelia
  full_name: Galanaki, Evangelia
  last_name: Galanaki
- first_name: Stephanie
  full_name: Efthymiou, Stephanie
  last_name: Efthymiou
- first_name: Sniya
  full_name: Sudhakar, Sniya
  last_name: Sudhakar
- first_name: Alkyoni
  full_name: Athanasiou-Fragkouli, Alkyoni
  last_name: Athanasiou-Fragkouli
- first_name: Tamer
  full_name: Celik, Tamer
  last_name: Celik
- first_name: Nejat
  full_name: Narli, Nejat
  last_name: Narli
- first_name: Sebastiano
  full_name: Bianca, Sebastiano
  last_name: Bianca
- first_name: David
  full_name: Murphy, David
  last_name: Murphy
- first_name: Francisco Martins De Carvalho
  full_name: Moreira, Francisco Martins De Carvalho
  last_name: Moreira
- first_name: Andrea
  full_name: Accogli, Andrea
  last_name: Accogli
- first_name: Cassidy
  full_name: Petree, Cassidy
  last_name: Petree
- first_name: Kevin
  full_name: Huang, Kevin
  id: 3b3d2888-1ff6-11ee-9fa6-8f209ca91fe3
  last_name: Huang
  orcid: 0000-0002-2512-7812
- first_name: Kamel
  full_name: Monastiri, Kamel
  last_name: Monastiri
- first_name: Masoud
  full_name: Edizadeh, Masoud
  last_name: Edizadeh
- first_name: Rosaria
  full_name: Nardello, Rosaria
  last_name: Nardello
- first_name: Marzia
  full_name: Ognibene, Marzia
  last_name: Ognibene
- first_name: Patrizia
  full_name: De Marco, Patrizia
  last_name: De Marco
- first_name: Martino
  full_name: Ruggieri, Martino
  last_name: Ruggieri
- first_name: Federico
  full_name: Zara, Federico
  last_name: Zara
- first_name: Pasquale
  full_name: Striano, Pasquale
  last_name: Striano
- first_name: Yavuz
  full_name: Sahin, Yavuz
  last_name: Sahin
- first_name: Lihadh
  full_name: Al-Gazali, Lihadh
  last_name: Al-Gazali
- first_name: Marie Therese Abi
  full_name: Warde, Marie Therese Abi
  last_name: Warde
- first_name: Benedicte
  full_name: Gerard, Benedicte
  last_name: Gerard
- first_name: Giovanni
  full_name: Zifarelli, Giovanni
  last_name: Zifarelli
- first_name: Christian
  full_name: Beetz, Christian
  last_name: Beetz
- first_name: Sara
  full_name: Fortuna, Sara
  last_name: Fortuna
- first_name: Miguel
  full_name: Soler, Miguel
  last_name: Soler
- first_name: Enza Maria
  full_name: Valente, Enza Maria
  last_name: Valente
- first_name: Gaurav
  full_name: Varshney, Gaurav
  last_name: Varshney
- first_name: Reza
  full_name: Maroofian, Reza
  last_name: Maroofian
- first_name: Vincenzo
  full_name: Salpietro, Vincenzo
  last_name: Salpietro
- first_name: Henry
  full_name: Houlden, Henry
  last_name: Houlden
- first_name: SYNaPS Study
  full_name: Grp, SYNaPS Study
  last_name: Grp
citation:
  ama: Cali E, Lin S-J, Rocca C, et al. A homozygous MED11 C-terminal variant causes
    a lethal neurodegenerative disease. <i>Genetics in Medicine</i>. 2022;24(10):2194-2203.
    doi:<a href="https://doi.org/10.1016/j.gim.2022.07.013">10.1016/j.gim.2022.07.013</a>
  apa: Cali, E., Lin, S.-J., Rocca, C., Sahin, Y., Al Shamsi, A., El Chehadeh, S.,
    … Grp, Syn. S. (2022). A homozygous MED11 C-terminal variant causes a lethal neurodegenerative
    disease. <i>Genetics in Medicine</i>. Elsevier. <a href="https://doi.org/10.1016/j.gim.2022.07.013">https://doi.org/10.1016/j.gim.2022.07.013</a>
  chicago: Cali, Elisa, Sheng-Jia Lin, Clarissa Rocca, Yavuz Sahin, Aisha Al Shamsi,
    Salima El Chehadeh, Myriam Chaabouni, et al. “A Homozygous MED11 C-Terminal Variant
    Causes a Lethal Neurodegenerative Disease.” <i>Genetics in Medicine</i>. Elsevier,
    2022. <a href="https://doi.org/10.1016/j.gim.2022.07.013">https://doi.org/10.1016/j.gim.2022.07.013</a>.
  ieee: E. Cali <i>et al.</i>, “A homozygous MED11 C-terminal variant causes a lethal
    neurodegenerative disease,” <i>Genetics in Medicine</i>, vol. 24, no. 10. Elsevier,
    pp. 2194–2203, 2022.
  ista: Cali E, Lin S-J, Rocca C, Sahin Y, Al Shamsi A, El Chehadeh S, Chaabouni M,
    Mankad K, Galanaki E, Efthymiou S, Sudhakar S, Athanasiou-Fragkouli A, Celik T,
    Narli N, Bianca S, Murphy D, Moreira FMDC, Accogli A, Petree C, Huang K, Monastiri
    K, Edizadeh M, Nardello R, Ognibene M, De Marco P, Ruggieri M, Zara F, Striano
    P, Sahin Y, Al-Gazali L, Warde MTA, Gerard B, Zifarelli G, Beetz C, Fortuna S,
    Soler M, Valente EM, Varshney G, Maroofian R, Salpietro V, Houlden H, Grp SynS.
    2022. A homozygous MED11 C-terminal variant causes a lethal neurodegenerative
    disease. Genetics in Medicine. 24(10), 2194–2203.
  mla: Cali, Elisa, et al. “A Homozygous MED11 C-Terminal Variant Causes a Lethal
    Neurodegenerative Disease.” <i>Genetics in Medicine</i>, vol. 24, no. 10, Elsevier,
    2022, pp. 2194–203, doi:<a href="https://doi.org/10.1016/j.gim.2022.07.013">10.1016/j.gim.2022.07.013</a>.
  short: E. Cali, S.-J. Lin, C. Rocca, Y. Sahin, A. Al Shamsi, S. El Chehadeh, M.
    Chaabouni, K. Mankad, E. Galanaki, S. Efthymiou, S. Sudhakar, A. Athanasiou-Fragkouli,
    T. Celik, N. Narli, S. Bianca, D. Murphy, F.M.D.C. Moreira, A. Accogli, C. Petree,
    K. Huang, K. Monastiri, M. Edizadeh, R. Nardello, M. Ognibene, P. De Marco, M.
    Ruggieri, F. Zara, P. Striano, Y. Sahin, L. Al-Gazali, M.T.A. Warde, B. Gerard,
    G. Zifarelli, C. Beetz, S. Fortuna, M. Soler, E.M. Valente, G. Varshney, R. Maroofian,
    V. Salpietro, H. Houlden, Syn.S. Grp, Genetics in Medicine 24 (2022) 2194–2203.
date_created: 2023-09-20T20:57:18Z
date_published: 2022-10-01T00:00:00Z
date_updated: 2023-09-25T08:57:07Z
day: '01'
ddc:
- '570'
department:
- _id: GradSch
doi: 10.1016/j.gim.2022.07.013
extern: '1'
file:
- access_level: open_access
  checksum: 8117175a89129eb5022d81ffe7625f9f
  content_type: application/pdf
  creator: dernst
  date_created: 2023-09-25T08:56:06Z
  date_updated: 2023-09-25T08:56:06Z
  file_id: '14371'
  file_name: 2022_GeneticsMedicine_Calin.pdf
  file_size: 1434037
  relation: main_file
  success: 1
file_date_updated: 2023-09-25T08:56:06Z
has_accepted_license: '1'
intvolume: '        24'
issue: '10'
keyword:
- Human mediator complex
- MED11
- MEDopathies
language:
- iso: eng
month: '10'
oa: 1
oa_version: Published Version
page: 2194-2203
publication: Genetics in Medicine
publication_identifier:
  issn:
  - 1098-3600
publication_status: published
publisher: Elsevier
quality_controlled: '1'
scopus_import: '1'
status: public
title: A homozygous MED11 C-terminal variant causes a lethal neurodegenerative disease
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 24
year: '2022'
...
---
_id: '14356'
abstract:
- lang: eng
  text: Aminoacyl-tRNA synthetases (ARSs) are essential enzymes for faithful assignment
    of amino acids to their cognate tRNA. Variants in ARS genes are frequently associated
    with clinically heterogeneous phenotypes in humans and follow both autosomal dominant
    or recessive inheritance patterns in many instances. Variants in tryptophanyl-tRNA
    synthetase 1 (WARS1) cause autosomal dominantly inherited distal hereditary motor
    neuropathy and Charcot-Marie-Tooth disease. Presently, only one family with biallelic
    WARS1 variants has been described. We present three affected individuals from
    two families with biallelic variants (p.Met1? and p.(Asp419Asn)) in WARS1, showing
    varying severities of developmental delay and intellectual disability. Hearing
    impairment and microcephaly, as well as abnormalities of the brain, skeletal system,
    movement/gait, and behavior were variable features. Phenotyping of knocked down
    wars-1 in a Caenorhabditis elegans model showed depletion is associated with defects
    in germ cell development. A wars1 knockout vertebrate model recapitulates the
    human clinical phenotypes, confirms variant pathogenicity, and uncovers evidence
    implicating the p.Met1? variant as potentially impacting an exon critical for
    normal hearing. Together, our findings provide consolidating evidence for biallelic
    disruption of WARS1 as causal for an autosomal recessive neurodevelopmental syndrome
    and present a vertebrate model that recapitulates key phenotypes observed in patients.
article_processing_charge: No
article_type: original
author:
- first_name: Sheng-Jia
  full_name: Lin, Sheng-Jia
  last_name: Lin
- first_name: Barbara
  full_name: Vona, Barbara
  last_name: Vona
- first_name: Hillary M.
  full_name: Porter, Hillary M.
  last_name: Porter
- first_name: Mahmoud
  full_name: Izadi, Mahmoud
  last_name: Izadi
- first_name: Kevin
  full_name: Huang, Kevin
  id: 3b3d2888-1ff6-11ee-9fa6-8f209ca91fe3
  last_name: Huang
  orcid: 0000-0002-2512-7812
- first_name: Yves
  full_name: Lacassie, Yves
  last_name: Lacassie
- first_name: Jill A.
  full_name: Rosenfeld, Jill A.
  last_name: Rosenfeld
- first_name: Saadullah
  full_name: Khan, Saadullah
  last_name: Khan
- first_name: Cassidy
  full_name: Petree, Cassidy
  last_name: Petree
- first_name: Tayyiba A.
  full_name: Ali, Tayyiba A.
  last_name: Ali
- first_name: Nazif
  full_name: Muhammad, Nazif
  last_name: Muhammad
- first_name: Sher A.
  full_name: Khan, Sher A.
  last_name: Khan
- first_name: Noor
  full_name: Muhammad, Noor
  last_name: Muhammad
- first_name: Pengfei
  full_name: Liu, Pengfei
  last_name: Liu
- first_name: Marie-Louise
  full_name: Haymon, Marie-Louise
  last_name: Haymon
- first_name: Franz
  full_name: Rueschendorf, Franz
  last_name: Rueschendorf
- first_name: Il-Keun
  full_name: Kong, Il-Keun
  last_name: Kong
- first_name: Linda
  full_name: Schnapp, Linda
  last_name: Schnapp
- first_name: Natasha
  full_name: Shur, Natasha
  last_name: Shur
- first_name: Lynn
  full_name: Chorich, Lynn
  last_name: Chorich
- first_name: Lawrence
  full_name: Layman, Lawrence
  last_name: Layman
- first_name: Thomas
  full_name: Haaf, Thomas
  last_name: Haaf
- first_name: Ehsan
  full_name: Pourkarimi, Ehsan
  last_name: Pourkarimi
- first_name: Hyung-Goo
  full_name: Kim, Hyung-Goo
  last_name: Kim
- first_name: Gaurav K.
  full_name: Varshney, Gaurav K.
  last_name: Varshney
citation:
  ama: Lin S-J, Vona B, Porter HM, et al. Biallelic variants in WARS1 cause a highly
    variable neurodevelopmental syndrome and implicate a critical exon for normal
    auditory function. <i>Human Mutation</i>. 2022;43(10):1472-1489. doi:<a href="https://doi.org/10.1002/humu.24435">10.1002/humu.24435</a>
  apa: Lin, S.-J., Vona, B., Porter, H. M., Izadi, M., Huang, K., Lacassie, Y., …
    Varshney, G. K. (2022). Biallelic variants in WARS1 cause a highly variable neurodevelopmental
    syndrome and implicate a critical exon for normal auditory function. <i>Human
    Mutation</i>. Wiley. <a href="https://doi.org/10.1002/humu.24435">https://doi.org/10.1002/humu.24435</a>
  chicago: Lin, Sheng-Jia, Barbara Vona, Hillary M. Porter, Mahmoud Izadi, Kevin Huang,
    Yves Lacassie, Jill A. Rosenfeld, et al. “Biallelic Variants in WARS1 Cause a
    Highly Variable Neurodevelopmental Syndrome and Implicate a Critical Exon for
    Normal Auditory Function.” <i>Human Mutation</i>. Wiley, 2022. <a href="https://doi.org/10.1002/humu.24435">https://doi.org/10.1002/humu.24435</a>.
  ieee: S.-J. Lin <i>et al.</i>, “Biallelic variants in WARS1 cause a highly variable
    neurodevelopmental syndrome and implicate a critical exon for normal auditory
    function,” <i>Human Mutation</i>, vol. 43, no. 10. Wiley, pp. 1472–1489, 2022.
  ista: Lin S-J, Vona B, Porter HM, Izadi M, Huang K, Lacassie Y, Rosenfeld JA, Khan
    S, Petree C, Ali TA, Muhammad N, Khan SA, Muhammad N, Liu P, Haymon M-L, Rueschendorf
    F, Kong I-K, Schnapp L, Shur N, Chorich L, Layman L, Haaf T, Pourkarimi E, Kim
    H-G, Varshney GK. 2022. Biallelic variants in WARS1 cause a highly variable neurodevelopmental
    syndrome and implicate a critical exon for normal auditory function. Human Mutation.
    43(10), 1472–1489.
  mla: Lin, Sheng-Jia, et al. “Biallelic Variants in WARS1 Cause a Highly Variable
    Neurodevelopmental Syndrome and Implicate a Critical Exon for Normal Auditory
    Function.” <i>Human Mutation</i>, vol. 43, no. 10, Wiley, 2022, pp. 1472–89, doi:<a
    href="https://doi.org/10.1002/humu.24435">10.1002/humu.24435</a>.
  short: S.-J. Lin, B. Vona, H.M. Porter, M. Izadi, K. Huang, Y. Lacassie, J.A. Rosenfeld,
    S. Khan, C. Petree, T.A. Ali, N. Muhammad, S.A. Khan, N. Muhammad, P. Liu, M.-L.
    Haymon, F. Rueschendorf, I.-K. Kong, L. Schnapp, N. Shur, L. Chorich, L. Layman,
    T. Haaf, E. Pourkarimi, H.-G. Kim, G.K. Varshney, Human Mutation 43 (2022) 1472–1489.
date_created: 2023-09-20T20:58:24Z
date_published: 2022-10-01T00:00:00Z
date_updated: 2023-09-25T08:54:14Z
day: '01'
ddc:
- '570'
doi: 10.1002/humu.24435
extern: '1'
file:
- access_level: open_access
  checksum: 74b01d4e4084b2f64c30ed32b18ee928
  content_type: application/pdf
  creator: dernst
  date_created: 2023-09-25T08:52:54Z
  date_updated: 2023-09-25T08:52:54Z
  file_id: '14370'
  file_name: 2022_HumanMutation_Lin.pdf
  file_size: 12131312
  relation: main_file
  success: 1
file_date_updated: 2023-09-25T08:52:54Z
has_accepted_license: '1'
intvolume: '        43'
issue: '10'
keyword:
- autosomal recessive
- biallelic variants
- C
- elegans
- translation initiation sites
- tryptophanyl-tRNA synthetase 1 (WARS1)
- WHEP domain
- zebrafish
language:
- iso: eng
month: '10'
oa: 1
oa_version: Published Version
page: 1472-1489
publication: Human Mutation
publication_identifier:
  issn:
  - 1059-7794
publication_status: published
publisher: Wiley
quality_controlled: '1'
scopus_import: '1'
status: public
title: Biallelic variants in WARS1 cause a highly variable neurodevelopmental syndrome
  and implicate a critical exon for normal auditory function
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 43
year: '2022'
...
---
_id: '14357'
abstract:
- lang: eng
  text: 'Aminoacylation of transfer RNA (tRNA) is a key step in protein biosynthesis,
    carried out by highly specific aminoacyl-tRNA synthetases (ARSs). ARSs have been
    implicated in autosomal dominant and autosomal recessive human disorders. Autosomal
    dominant variants in tryptophanyl-tRNA synthetase 1 (WARS1) are known to cause
    distal hereditary motor neuropathy and Charcot-Marie-Tooth disease, but a recessively
    inherited phenotype is yet to be clearly defined. Seryl-tRNA synthetase 1 (SARS1)
    has rarely been implicated in an autosomal recessive developmental disorder. Here,
    we report five individuals with biallelic missense variants in WARS1 or SARS1,
    who presented with an overlapping phenotype of microcephaly, developmental delay,
    intellectual disability, and brain anomalies. Structural mapping showed that the
    SARS1 variant is located directly within the enzyme’s active site, most likely
    diminishing activity, while the WARS1 variant is located in the N-terminal domain.
    We further characterize the identified WARS1 variant by showing that it negatively
    impacts protein abundance and is unable to rescue the phenotype of a CRISPR/Cas9
    wars1 knockout zebrafish model. In summary, we describe two overlapping autosomal
    recessive syndromes caused by variants in WARS1 and SARS1, present functional
    insights into the pathogenesis of the WARS1-related syndrome and define an emerging
    disease spectrum: ARS-related developmental disorders with or without microcephaly.'
article_processing_charge: No
article_type: original
author:
- first_name: Nina
  full_name: Boegershausen, Nina
  last_name: Boegershausen
- first_name: Hannah E.
  full_name: Krawczyk, Hannah E.
  last_name: Krawczyk
- first_name: Rami A.
  full_name: Jamra, Rami A.
  last_name: Jamra
- first_name: Sheng-Jia
  full_name: Lin, Sheng-Jia
  last_name: Lin
- first_name: Goekhan
  full_name: Yigit, Goekhan
  last_name: Yigit
- first_name: Irina
  full_name: Huening, Irina
  last_name: Huening
- first_name: Anna M.
  full_name: Polo, Anna M.
  last_name: Polo
- first_name: Barbara
  full_name: Vona, Barbara
  last_name: Vona
- first_name: Kevin
  full_name: Huang, Kevin
  id: 3b3d2888-1ff6-11ee-9fa6-8f209ca91fe3
  last_name: Huang
  orcid: 0000-0002-2512-7812
- first_name: Julia
  full_name: Schmidt, Julia
  last_name: Schmidt
- first_name: Janine
  full_name: Altmueller, Janine
  last_name: Altmueller
- first_name: Johannes
  full_name: Luppe, Johannes
  last_name: Luppe
- first_name: Konrad
  full_name: Platzer, Konrad
  last_name: Platzer
- first_name: Beate B.
  full_name: Doergeloh, Beate B.
  last_name: Doergeloh
- first_name: Andreas
  full_name: Busche, Andreas
  last_name: Busche
- first_name: Saskia
  full_name: Biskup, Saskia
  last_name: Biskup
- first_name: Marisa
  full_name: Mendes, I, Marisa
  last_name: Mendes, I
- first_name: Desiree E. C.
  full_name: Smith, Desiree E. C.
  last_name: Smith
- first_name: Gajja S.
  full_name: Salomons, Gajja S.
  last_name: Salomons
- first_name: Arne
  full_name: Zibat, Arne
  last_name: Zibat
- first_name: Eva
  full_name: Bueltmann, Eva
  last_name: Bueltmann
- first_name: Peter
  full_name: Nuernberg, Peter
  last_name: Nuernberg
- first_name: Malte
  full_name: Spielmann, Malte
  last_name: Spielmann
- first_name: Johannes R.
  full_name: Lemke, Johannes R.
  last_name: Lemke
- first_name: Yun
  full_name: Li, Yun
  last_name: Li
- first_name: Martin
  full_name: Zenker, Martin
  last_name: Zenker
- first_name: Gaurav K.
  full_name: Varshney, Gaurav K.
  last_name: Varshney
- first_name: Hauke S.
  full_name: Hillen, Hauke S.
  last_name: Hillen
- first_name: Christian P.
  full_name: Kratz, Christian P.
  last_name: Kratz
- first_name: Bernd
  full_name: Wollnik, Bernd
  last_name: Wollnik
citation:
  ama: 'Boegershausen N, Krawczyk HE, Jamra RA, et al. WARS1 and SARS1: Two tRNA synthetases
    implicated in autosomal recessive microcephaly. <i>Human Mutation</i>. 2022;43(10):1454-1471.
    doi:<a href="https://doi.org/10.1002/humu.24430">10.1002/humu.24430</a>'
  apa: 'Boegershausen, N., Krawczyk, H. E., Jamra, R. A., Lin, S.-J., Yigit, G., Huening,
    I., … Wollnik, B. (2022). WARS1 and SARS1: Two tRNA synthetases implicated in
    autosomal recessive microcephaly. <i>Human Mutation</i>. Wiley. <a href="https://doi.org/10.1002/humu.24430">https://doi.org/10.1002/humu.24430</a>'
  chicago: 'Boegershausen, Nina, Hannah E. Krawczyk, Rami A. Jamra, Sheng-Jia Lin,
    Goekhan Yigit, Irina Huening, Anna M. Polo, et al. “WARS1 and SARS1: Two TRNA
    Synthetases Implicated in Autosomal Recessive Microcephaly.” <i>Human Mutation</i>.
    Wiley, 2022. <a href="https://doi.org/10.1002/humu.24430">https://doi.org/10.1002/humu.24430</a>.'
  ieee: 'N. Boegershausen <i>et al.</i>, “WARS1 and SARS1: Two tRNA synthetases implicated
    in autosomal recessive microcephaly,” <i>Human Mutation</i>, vol. 43, no. 10.
    Wiley, pp. 1454–1471, 2022.'
  ista: 'Boegershausen N, Krawczyk HE, Jamra RA, Lin S-J, Yigit G, Huening I, Polo
    AM, Vona B, Huang K, Schmidt J, Altmueller J, Luppe J, Platzer K, Doergeloh BB,
    Busche A, Biskup S, Mendes, I M, Smith DEC, Salomons GS, Zibat A, Bueltmann E,
    Nuernberg P, Spielmann M, Lemke JR, Li Y, Zenker M, Varshney GK, Hillen HS, Kratz
    CP, Wollnik B. 2022. WARS1 and SARS1: Two tRNA synthetases implicated in autosomal
    recessive microcephaly. Human Mutation. 43(10), 1454–1471.'
  mla: 'Boegershausen, Nina, et al. “WARS1 and SARS1: Two TRNA Synthetases Implicated
    in Autosomal Recessive Microcephaly.” <i>Human Mutation</i>, vol. 43, no. 10,
    Wiley, 2022, pp. 1454–71, doi:<a href="https://doi.org/10.1002/humu.24430">10.1002/humu.24430</a>.'
  short: N. Boegershausen, H.E. Krawczyk, R.A. Jamra, S.-J. Lin, G. Yigit, I. Huening,
    A.M. Polo, B. Vona, K. Huang, J. Schmidt, J. Altmueller, J. Luppe, K. Platzer,
    B.B. Doergeloh, A. Busche, S. Biskup, M. Mendes, I, D.E.C. Smith, G.S. Salomons,
    A. Zibat, E. Bueltmann, P. Nuernberg, M. Spielmann, J.R. Lemke, Y. Li, M. Zenker,
    G.K. Varshney, H.S. Hillen, C.P. Kratz, B. Wollnik, Human Mutation 43 (2022) 1454–1471.
date_created: 2023-09-20T20:59:33Z
date_published: 2022-10-01T00:00:00Z
date_updated: 2023-09-25T08:43:06Z
day: '01'
ddc:
- '570'
doi: 10.1002/humu.24430
extern: '1'
external_id:
  pmid:
  - '35790048'
file:
- access_level: open_access
  checksum: c31fc91e0445c35b9da83eb911a9b552
  content_type: application/pdf
  creator: dernst
  date_created: 2023-09-25T08:41:23Z
  date_updated: 2023-09-25T08:41:23Z
  file_id: '14367'
  file_name: 2022_HumanMutation_Boegershausen.pdf
  file_size: 4863605
  relation: main_file
  success: 1
file_date_updated: 2023-09-25T08:41:23Z
has_accepted_license: '1'
intvolume: '        43'
issue: '10'
keyword:
- aminoacylation
- aminoacyl-tRNA synthetase
- ARS
- CRISPR
- Cas9
- intellectual disability
- microcephaly
- SARS1
- tRNA
- WARS1
- zebrafish
language:
- iso: eng
month: '10'
oa: 1
oa_version: Published Version
page: 1454-1471
pmid: 1
publication: Human Mutation
publication_identifier:
  issn:
  - 1059-7794
publication_status: published
publisher: Wiley
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'WARS1 and SARS1: Two tRNA synthetases implicated in autosomal recessive microcephaly'
tmp:
  image: /images/cc_by_nc_nd.png
  legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
  name: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
    (CC BY-NC-ND 4.0)
  short: CC BY-NC-ND (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 43
year: '2022'
...
---
_id: '14381'
abstract:
- lang: eng
  text: Expander graphs (sparse but highly connected graphs) have, since their inception,
    been the source of deep links between Mathematics and Computer Science as well
    as applications to other areas. In recent years, a fascinating theory of high-dimensional
    expanders has begun to emerge, which is still in a formative stage but has nonetheless
    already lead to a number of striking results. Unlike for graphs, in higher dimensions
    there is a rich array of non-equivalent notions of expansion (coboundary expansion,
    cosystolic expansion, topological expansion, spectral expansion, etc.), with differents
    strengths and applications. In this talk, we will survey this landscape of high-dimensional
    expansion, with a focus on two main results. First, we will present Gromov’s Topological
    Overlap Theorem, which asserts that coboundary expansion (a quantitative version
    of vanishing mod 2 cohomology) implies topological expansion (roughly, the property
    that for every map from a simplicial complex to a manifold of the same dimension,
    the images of a positive fraction of the simplices have a point in common). Second,
    we will outline a construction of bounded degree 2-dimensional topological expanders,
    due to Kaufman, Kazhdan, and Lubotzky.
article_processing_charge: No
article_type: original
author:
- first_name: Uli
  full_name: Wagner, Uli
  id: 36690CA2-F248-11E8-B48F-1D18A9856A87
  last_name: Wagner
  orcid: 0000-0002-1494-0568
citation:
  ama: Wagner U. High-dimensional expanders (after Gromov, Kaufman, Kazhdan, Lubotzky,
    and others). <i>Bulletin de la Societe Mathematique de France</i>. 2022;438:281-294.
    doi:<a href="https://doi.org/10.24033/ast.1188">10.24033/ast.1188</a>
  apa: Wagner, U. (2022). High-dimensional expanders (after Gromov, Kaufman, Kazhdan,
    Lubotzky, and others). <i>Bulletin de La Societe Mathematique de France</i>. Societe
    Mathematique de France. <a href="https://doi.org/10.24033/ast.1188">https://doi.org/10.24033/ast.1188</a>
  chicago: Wagner, Uli. “High-Dimensional Expanders (after Gromov, Kaufman, Kazhdan,
    Lubotzky, and Others).” <i>Bulletin de La Societe Mathematique de France</i>.
    Societe Mathematique de France, 2022. <a href="https://doi.org/10.24033/ast.1188">https://doi.org/10.24033/ast.1188</a>.
  ieee: U. Wagner, “High-dimensional expanders (after Gromov, Kaufman, Kazhdan, Lubotzky,
    and others),” <i>Bulletin de la Societe Mathematique de France</i>, vol. 438.
    Societe Mathematique de France, pp. 281–294, 2022.
  ista: Wagner U. 2022. High-dimensional expanders (after Gromov, Kaufman, Kazhdan,
    Lubotzky, and others). Bulletin de la Societe Mathematique de France. 438, 281–294.
  mla: Wagner, Uli. “High-Dimensional Expanders (after Gromov, Kaufman, Kazhdan, Lubotzky,
    and Others).” <i>Bulletin de La Societe Mathematique de France</i>, vol. 438,
    Societe Mathematique de France, 2022, pp. 281–94, doi:<a href="https://doi.org/10.24033/ast.1188">10.24033/ast.1188</a>.
  short: U. Wagner, Bulletin de La Societe Mathematique de France 438 (2022) 281–294.
corr_author: '1'
date_created: 2023-10-01T22:01:14Z
date_published: 2022-01-01T00:00:00Z
date_updated: 2025-09-10T09:55:10Z
day: '01'
department:
- _id: UlWa
doi: 10.24033/ast.1188
external_id:
  isi:
  - '000958364400007'
intvolume: '       438'
isi: 1
language:
- iso: eng
month: '01'
oa_version: None
page: 281-294
publication: Bulletin de la Societe Mathematique de France
publication_identifier:
  eissn:
  - 2102-622X
  issn:
  - 0037-9484
publication_status: published
publisher: Societe Mathematique de France
quality_controlled: '1'
scopus_import: '1'
status: public
title: High-dimensional expanders (after Gromov, Kaufman, Kazhdan, Lubotzky, and others)
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 438
year: '2022'
...
---
_id: '14437'
abstract:
- lang: eng
  text: Future LEDs could be based on lead halide perovskites. A breakthrough in preparing
    device-compatible solids composed of nanoscale perovskite crystals overcomes a
    long-standing hurdle in making blue perovskite LEDs.
article_processing_charge: No
article_type: letter_note
author:
- first_name: Hendrik
  full_name: Utzat, Hendrik
  last_name: Utzat
- first_name: Maria
  full_name: Ibáñez, Maria
  id: 43C61214-F248-11E8-B48F-1D18A9856A87
  last_name: Ibáñez
  orcid: 0000-0001-5013-2843
citation:
  ama: Utzat H, Ibáñez M. Molecular engineering enables bright blue LEDs. <i>Nature</i>.
    2022;612(7941):638-639. doi:<a href="https://doi.org/10.1038/d41586-022-04447-0">10.1038/d41586-022-04447-0</a>
  apa: Utzat, H., &#38; Ibáñez, M. (2022). Molecular engineering enables bright blue
    LEDs. <i>Nature</i>. Springer Nature. <a href="https://doi.org/10.1038/d41586-022-04447-0">https://doi.org/10.1038/d41586-022-04447-0</a>
  chicago: Utzat, Hendrik, and Maria Ibáñez. “Molecular Engineering Enables Bright
    Blue LEDs.” <i>Nature</i>. Springer Nature, 2022. <a href="https://doi.org/10.1038/d41586-022-04447-0">https://doi.org/10.1038/d41586-022-04447-0</a>.
  ieee: H. Utzat and M. Ibáñez, “Molecular engineering enables bright blue LEDs,”
    <i>Nature</i>, vol. 612, no. 7941. Springer Nature, pp. 638–639, 2022.
  ista: Utzat H, Ibáñez M. 2022. Molecular engineering enables bright blue LEDs. Nature.
    612(7941), 638–639.
  mla: Utzat, Hendrik, and Maria Ibáñez. “Molecular Engineering Enables Bright Blue
    LEDs.” <i>Nature</i>, vol. 612, no. 7941, Springer Nature, 2022, pp. 638–39, doi:<a
    href="https://doi.org/10.1038/d41586-022-04447-0">10.1038/d41586-022-04447-0</a>.
  short: H. Utzat, M. Ibáñez, Nature 612 (2022) 638–639.
corr_author: '1'
date_created: 2023-10-17T11:14:43Z
date_published: 2022-12-21T00:00:00Z
date_updated: 2025-09-10T09:55:51Z
day: '21'
department:
- _id: MaIb
doi: 10.1038/d41586-022-04447-0
external_id:
  isi:
  - '000934065100010'
  pmid:
  - '36543947'
intvolume: '       612'
isi: 1
issue: '7941'
keyword:
- Multidisciplinary
language:
- iso: eng
month: '12'
oa_version: None
page: 638-639
pmid: 1
publication: Nature
publication_identifier:
  eissn:
  - 1476-4687
  issn:
  - 0028-0836
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Molecular engineering enables bright blue LEDs
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 612
year: '2022'
...
---
OA_place: repository
OA_type: green
_id: '17868'
abstract:
- lang: eng
  text: Reversed conductance decay describes increasing conductance of a molecular
    chain series with increasing chain length. Realizing reversed conductance decay
    is an important step toward making long and highly conducting molecular wires.
    Recent work has shown that one-dimensional topological insulators (1D TIs) can
    exhibit reversed conductance decay due to their nontrivial edge states. The Su–Schrieffer–Heeger
    (SSH) model for 1D TIs relates to the electronic structure of these isolated molecules
    but not their electron transport properties as single-molecule junctions. Herein,
    we use a tight-binding approach to demonstrate that polyacetylene and other diradicaloid
    1D TIs show a reversed conductance decay at the short chain limit. We explain
    these conductance trends by analyzing the impact of the edge states in these 1D
    systems on the single-molecule junction transmission. Additionally, we discuss
    how the self-energy from the electrode-molecule coupling and the on-site energy
    of the edge sites can be tuned to create longer wires with reversed conductance
    decays.
article_processing_charge: No
article_type: original
author:
- first_name: Liang
  full_name: Li, Liang
  last_name: Li
- first_name: Suman
  full_name: Gunasekaran, Suman
  last_name: Gunasekaran
- first_name: Yujing
  full_name: Wei, Yujing
  last_name: Wei
- first_name: Colin
  full_name: Nuckolls, Colin
  last_name: Nuckolls
- first_name: Latha
  full_name: Venkataraman, Latha
  id: 9ebb78a5-cc0d-11ee-8322-fae086a32caf
  last_name: Venkataraman
  orcid: 0000-0002-6957-6089
citation:
  ama: Li L, Gunasekaran S, Wei Y, Nuckolls C, Venkataraman L. Reversed conductance
    decay of 1D topological insulators by tight-binding analysis. <i>The Journal of
    Physical Chemistry Letters</i>. 2022;13(41):9703-9710. doi:<a href="https://doi.org/10.1021/acs.jpclett.2c02812">10.1021/acs.jpclett.2c02812</a>
  apa: Li, L., Gunasekaran, S., Wei, Y., Nuckolls, C., &#38; Venkataraman, L. (2022).
    Reversed conductance decay of 1D topological insulators by tight-binding analysis.
    <i>The Journal of Physical Chemistry Letters</i>. American Chemical Society. <a
    href="https://doi.org/10.1021/acs.jpclett.2c02812">https://doi.org/10.1021/acs.jpclett.2c02812</a>
  chicago: Li, Liang, Suman Gunasekaran, Yujing Wei, Colin Nuckolls, and Latha Venkataraman.
    “Reversed Conductance Decay of 1D Topological Insulators by Tight-Binding Analysis.”
    <i>The Journal of Physical Chemistry Letters</i>. American Chemical Society, 2022.
    <a href="https://doi.org/10.1021/acs.jpclett.2c02812">https://doi.org/10.1021/acs.jpclett.2c02812</a>.
  ieee: L. Li, S. Gunasekaran, Y. Wei, C. Nuckolls, and L. Venkataraman, “Reversed
    conductance decay of 1D topological insulators by tight-binding analysis,” <i>The
    Journal of Physical Chemistry Letters</i>, vol. 13, no. 41. American Chemical
    Society, pp. 9703–9710, 2022.
  ista: Li L, Gunasekaran S, Wei Y, Nuckolls C, Venkataraman L. 2022. Reversed conductance
    decay of 1D topological insulators by tight-binding analysis. The Journal of Physical
    Chemistry Letters. 13(41), 9703–9710.
  mla: Li, Liang, et al. “Reversed Conductance Decay of 1D Topological Insulators
    by Tight-Binding Analysis.” <i>The Journal of Physical Chemistry Letters</i>,
    vol. 13, no. 41, American Chemical Society, 2022, pp. 9703–10, doi:<a href="https://doi.org/10.1021/acs.jpclett.2c02812">10.1021/acs.jpclett.2c02812</a>.
  short: L. Li, S. Gunasekaran, Y. Wei, C. Nuckolls, L. Venkataraman, The Journal
    of Physical Chemistry Letters 13 (2022) 9703–9710.
date_created: 2024-09-06T13:02:46Z
date_published: 2022-10-11T00:00:00Z
date_updated: 2024-12-10T09:21:49Z
day: '11'
doi: 10.1021/acs.jpclett.2c02812
extern: '1'
external_id:
  pmid:
  - '36219846'
intvolume: '        13'
issue: '41'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.26434/chemrxiv-2022-b1fh9-v3
month: '10'
oa: 1
oa_version: Preprint
page: 9703-9710
pmid: 1
publication: The Journal of Physical Chemistry Letters
publication_identifier:
  issn:
  - 1948-7185
publication_status: published
publisher: American Chemical Society
quality_controlled: '1'
scopus_import: '1'
status: public
title: Reversed conductance decay of 1D topological insulators by tight-binding analysis
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 13
year: '2022'
...
---
OA_place: repository
OA_type: green
_id: '17869'
abstract:
- lang: eng
  text: The formation of carbon–carbon bonds with transition metal reagents serves
    as a cornerstone of organic synthesis. Here, we show that the reactivity of an
    otherwise kinetically inert transition metal complex can be induced by an external
    electric field to affect a coupling reaction. These results highlight the importance
    of electric field effects in reaction chemistry and offers a new strategy to modulate
    organometallic reactivity.
article_processing_charge: No
article_type: letter_note
author:
- first_name: Nicholas M.
  full_name: Orchanian, Nicholas M.
  last_name: Orchanian
- first_name: Sophia
  full_name: Guizzo, Sophia
  last_name: Guizzo
- first_name: Michael L.
  full_name: Steigerwald, Michael L.
  last_name: Steigerwald
- first_name: Colin
  full_name: Nuckolls, Colin
  last_name: Nuckolls
- first_name: Latha
  full_name: Venkataraman, Latha
  id: 9ebb78a5-cc0d-11ee-8322-fae086a32caf
  last_name: Venkataraman
  orcid: 0000-0002-6957-6089
citation:
  ama: Orchanian NM, Guizzo S, Steigerwald ML, Nuckolls C, Venkataraman L. Electric-field-induced
    coupling of aryl iodides with a nickel(0) complex. <i>Chemical Communications</i>.
    2022;58(90):12556-12559. doi:<a href="https://doi.org/10.1039/d2cc03671a">10.1039/d2cc03671a</a>
  apa: Orchanian, N. M., Guizzo, S., Steigerwald, M. L., Nuckolls, C., &#38; Venkataraman,
    L. (2022). Electric-field-induced coupling of aryl iodides with a nickel(0) complex.
    <i>Chemical Communications</i>. Royal Society of Chemistry. <a href="https://doi.org/10.1039/d2cc03671a">https://doi.org/10.1039/d2cc03671a</a>
  chicago: Orchanian, Nicholas M., Sophia Guizzo, Michael L. Steigerwald, Colin Nuckolls,
    and Latha Venkataraman. “Electric-Field-Induced Coupling of Aryl Iodides with
    a Nickel(0) Complex.” <i>Chemical Communications</i>. Royal Society of Chemistry,
    2022. <a href="https://doi.org/10.1039/d2cc03671a">https://doi.org/10.1039/d2cc03671a</a>.
  ieee: N. M. Orchanian, S. Guizzo, M. L. Steigerwald, C. Nuckolls, and L. Venkataraman,
    “Electric-field-induced coupling of aryl iodides with a nickel(0) complex,” <i>Chemical
    Communications</i>, vol. 58, no. 90. Royal Society of Chemistry, pp. 12556–12559,
    2022.
  ista: Orchanian NM, Guizzo S, Steigerwald ML, Nuckolls C, Venkataraman L. 2022.
    Electric-field-induced coupling of aryl iodides with a nickel(0) complex. Chemical
    Communications. 58(90), 12556–12559.
  mla: Orchanian, Nicholas M., et al. “Electric-Field-Induced Coupling of Aryl Iodides
    with a Nickel(0) Complex.” <i>Chemical Communications</i>, vol. 58, no. 90, Royal
    Society of Chemistry, 2022, pp. 12556–59, doi:<a href="https://doi.org/10.1039/d2cc03671a">10.1039/d2cc03671a</a>.
  short: N.M. Orchanian, S. Guizzo, M.L. Steigerwald, C. Nuckolls, L. Venkataraman,
    Chemical Communications 58 (2022) 12556–12559.
date_created: 2024-09-06T13:03:38Z
date_published: 2022-10-10T00:00:00Z
date_updated: 2024-12-10T09:27:04Z
day: '10'
doi: 10.1039/d2cc03671a
extern: '1'
external_id:
  pmid:
  - '36245392'
intvolume: '        58'
issue: '90'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.26434/chemrxiv-2022-lfnw1
month: '10'
oa: 1
oa_version: Preprint
page: 12556-12559
pmid: 1
publication: Chemical Communications
publication_identifier:
  eissn:
  - 1364-548X
  issn:
  - 1359-7345
publication_status: published
publisher: Royal Society of Chemistry
quality_controlled: '1'
related_material:
  link:
  - relation: erratum
    url: https://doi.org/10.1039/d2cc03671a
scopus_import: '1'
status: public
title: Electric-field-induced coupling of aryl iodides with a nickel(0) complex
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 58
year: '2022'
...
---
DOAJ_listed: '1'
OA_place: publisher
OA_type: gold
_id: '17870'
abstract:
- lang: eng
  text: The electric fields created at solid–liquid interfaces are important in heterogeneous
    catalysis. Here we describe the Ullmann coupling of aryl iodides on rough gold
    surfaces, which we monitor in situ using the scanning tunneling microscope-based
    break junction (STM-BJ) and ex situ using mass spectrometry and fluorescence spectroscopy.
    We find that this Ullmann coupling reaction occurs only on rough gold surfaces
    in polar solvents, the latter of which implicates interfacial electric fields.
    These experimental observations are supported by density functional theory calculations
    that elucidate the roles of surface roughness and local electric fields on the
    reaction. More broadly, this touchstone study offers a facile method to access
    and probe in real time an increasingly prominent yet incompletely understood mode
    of catalysis.
article_processing_charge: Yes
article_type: original
author:
- first_name: Ilana B.
  full_name: Stone, Ilana B.
  last_name: Stone
- first_name: Rachel L.
  full_name: Starr, Rachel L.
  last_name: Starr
- first_name: Norah
  full_name: Hoffmann, Norah
  last_name: Hoffmann
- first_name: Xiao
  full_name: Wang, Xiao
  last_name: Wang
- first_name: Austin M.
  full_name: Evans, Austin M.
  last_name: Evans
- first_name: Colin
  full_name: Nuckolls, Colin
  last_name: Nuckolls
- first_name: Tristan H.
  full_name: Lambert, Tristan H.
  last_name: Lambert
- first_name: Michael L.
  full_name: Steigerwald, Michael L.
  last_name: Steigerwald
- first_name: Timothy C.
  full_name: Berkelbach, Timothy C.
  last_name: Berkelbach
- first_name: Xavier
  full_name: Roy, Xavier
  last_name: Roy
- first_name: Latha
  full_name: Venkataraman, Latha
  id: 9ebb78a5-cc0d-11ee-8322-fae086a32caf
  last_name: Venkataraman
  orcid: 0000-0002-6957-6089
citation:
  ama: Stone IB, Starr RL, Hoffmann N, et al. Interfacial electric fields catalyze
    Ullmann coupling reactions on gold surfaces. <i>Chemical Science</i>. 2022;13(36):10798-10805.
    doi:<a href="https://doi.org/10.1039/d2sc03780g">10.1039/d2sc03780g</a>
  apa: Stone, I. B., Starr, R. L., Hoffmann, N., Wang, X., Evans, A. M., Nuckolls,
    C., … Venkataraman, L. (2022). Interfacial electric fields catalyze Ullmann coupling
    reactions on gold surfaces. <i>Chemical Science</i>. Royal Society of Chemistry.
    <a href="https://doi.org/10.1039/d2sc03780g">https://doi.org/10.1039/d2sc03780g</a>
  chicago: Stone, Ilana B., Rachel L. Starr, Norah Hoffmann, Xiao Wang, Austin M.
    Evans, Colin Nuckolls, Tristan H. Lambert, et al. “Interfacial Electric Fields
    Catalyze Ullmann Coupling Reactions on Gold Surfaces.” <i>Chemical Science</i>.
    Royal Society of Chemistry, 2022. <a href="https://doi.org/10.1039/d2sc03780g">https://doi.org/10.1039/d2sc03780g</a>.
  ieee: I. B. Stone <i>et al.</i>, “Interfacial electric fields catalyze Ullmann coupling
    reactions on gold surfaces,” <i>Chemical Science</i>, vol. 13, no. 36. Royal Society
    of Chemistry, pp. 10798–10805, 2022.
  ista: Stone IB, Starr RL, Hoffmann N, Wang X, Evans AM, Nuckolls C, Lambert TH,
    Steigerwald ML, Berkelbach TC, Roy X, Venkataraman L. 2022. Interfacial electric
    fields catalyze Ullmann coupling reactions on gold surfaces. Chemical Science.
    13(36), 10798–10805.
  mla: Stone, Ilana B., et al. “Interfacial Electric Fields Catalyze Ullmann Coupling
    Reactions on Gold Surfaces.” <i>Chemical Science</i>, vol. 13, no. 36, Royal Society
    of Chemistry, 2022, pp. 10798–805, doi:<a href="https://doi.org/10.1039/d2sc03780g">10.1039/d2sc03780g</a>.
  short: I.B. Stone, R.L. Starr, N. Hoffmann, X. Wang, A.M. Evans, C. Nuckolls, T.H.
    Lambert, M.L. Steigerwald, T.C. Berkelbach, X. Roy, L. Venkataraman, Chemical
    Science 13 (2022) 10798–10805.
date_created: 2024-09-06T13:04:27Z
date_published: 2022-09-01T00:00:00Z
date_updated: 2024-12-10T09:29:53Z
day: '01'
doi: 10.1039/d2sc03780g
extern: '1'
intvolume: '        13'
issue: '36'
language:
- iso: eng
license: https://creativecommons.org/licenses/by-nc/3.0/
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1039/D2SC03780G
month: '09'
oa: 1
oa_version: Published Version
page: 10798-10805
publication: Chemical Science
publication_identifier:
  eissn:
  - 2041-6539
  issn:
  - 2041-6520
publication_status: published
publisher: Royal Society of Chemistry
quality_controlled: '1'
scopus_import: '1'
status: public
title: Interfacial electric fields catalyze Ullmann coupling reactions on gold surfaces
tmp:
  image: /images/cc_by_nc.png
  legal_code_url: https://creativecommons.org/licenses/by-nc/3.0/legalcode
  name: Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)
  short: CC BY-NC (3.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 13
year: '2022'
...
---
OA_type: closed access
_id: '17871'
abstract:
- lang: eng
  text: Single-molecule topological insulators are promising candidates as conducting
    wires over nanometre length scales. A key advantage is their ability to exhibit
    quasi-metallic transport, in contrast to conjugated molecular wires which typically
    exhibit a low conductance that decays as the wire length increases. Here, we study
    a family of oligophenylene-bridged bis(triarylamines) with tunable and stable
    mono- or di-radicaloid character. These wires can undergo one- and two-electron
    chemical oxidations to the corresponding mono-cation and di-cation, respectively.
    We show that the oxidized wires exhibit reversed conductance decay with increasing
    length, consistent with the expectation for Su–Schrieffer–Heeger-type one-dimensional
    topological insulators. The 2.6-nm-long di-cation reported here displays a conductance
    greater than 0.1G0, where G0 is the conductance quantum, a factor of 5,400 greater
    than the neutral form. The observed conductance–length relationship is similar
    between the mono-cation and di-cation series. Density functional theory calculations
    elucidate how the frontier orbitals and delocalization of radicals facilitate
    the observed non-classical quasi-metallic behaviour.
article_processing_charge: No
article_type: original
author:
- first_name: Liang
  full_name: Li, Liang
  last_name: Li
- first_name: Jonathan Z.
  full_name: Low, Jonathan Z.
  last_name: Low
- first_name: Jan
  full_name: Wilhelm, Jan
  last_name: Wilhelm
- first_name: Guanming
  full_name: Liao, Guanming
  last_name: Liao
- first_name: Suman
  full_name: Gunasekaran, Suman
  last_name: Gunasekaran
- first_name: Claudia R.
  full_name: Prindle, Claudia R.
  last_name: Prindle
- first_name: Rachel L.
  full_name: Starr, Rachel L.
  last_name: Starr
- first_name: Dorothea
  full_name: Golze, Dorothea
  last_name: Golze
- first_name: Colin
  full_name: Nuckolls, Colin
  last_name: Nuckolls
- first_name: Michael L.
  full_name: Steigerwald, Michael L.
  last_name: Steigerwald
- first_name: Ferdinand
  full_name: Evers, Ferdinand
  last_name: Evers
- first_name: Luis M.
  full_name: Campos, Luis M.
  last_name: Campos
- first_name: Xiaodong
  full_name: Yin, Xiaodong
  last_name: Yin
- first_name: Latha
  full_name: Venkataraman, Latha
  id: 9ebb78a5-cc0d-11ee-8322-fae086a32caf
  last_name: Venkataraman
  orcid: 0000-0002-6957-6089
citation:
  ama: Li L, Low JZ, Wilhelm J, et al. Highly conducting single-molecule topological
    insulators based on mono- and di-radical cations. <i>Nature Chemistry</i>. 2022;14(9):1061-1067.
    doi:<a href="https://doi.org/10.1038/s41557-022-00978-1">10.1038/s41557-022-00978-1</a>
  apa: Li, L., Low, J. Z., Wilhelm, J., Liao, G., Gunasekaran, S., Prindle, C. R.,
    … Venkataraman, L. (2022). Highly conducting single-molecule topological insulators
    based on mono- and di-radical cations. <i>Nature Chemistry</i>. Springer Nature.
    <a href="https://doi.org/10.1038/s41557-022-00978-1">https://doi.org/10.1038/s41557-022-00978-1</a>
  chicago: Li, Liang, Jonathan Z. Low, Jan Wilhelm, Guanming Liao, Suman Gunasekaran,
    Claudia R. Prindle, Rachel L. Starr, et al. “Highly Conducting Single-Molecule
    Topological Insulators Based on Mono- and Di-Radical Cations.” <i>Nature Chemistry</i>.
    Springer Nature, 2022. <a href="https://doi.org/10.1038/s41557-022-00978-1">https://doi.org/10.1038/s41557-022-00978-1</a>.
  ieee: L. Li <i>et al.</i>, “Highly conducting single-molecule topological insulators
    based on mono- and di-radical cations,” <i>Nature Chemistry</i>, vol. 14, no.
    9. Springer Nature, pp. 1061–1067, 2022.
  ista: Li L, Low JZ, Wilhelm J, Liao G, Gunasekaran S, Prindle CR, Starr RL, Golze
    D, Nuckolls C, Steigerwald ML, Evers F, Campos LM, Yin X, Venkataraman L. 2022.
    Highly conducting single-molecule topological insulators based on mono- and di-radical
    cations. Nature Chemistry. 14(9), 1061–1067.
  mla: Li, Liang, et al. “Highly Conducting Single-Molecule Topological Insulators
    Based on Mono- and Di-Radical Cations.” <i>Nature Chemistry</i>, vol. 14, no.
    9, Springer Nature, 2022, pp. 1061–67, doi:<a href="https://doi.org/10.1038/s41557-022-00978-1">10.1038/s41557-022-00978-1</a>.
  short: L. Li, J.Z. Low, J. Wilhelm, G. Liao, S. Gunasekaran, C.R. Prindle, R.L.
    Starr, D. Golze, C. Nuckolls, M.L. Steigerwald, F. Evers, L.M. Campos, X. Yin,
    L. Venkataraman, Nature Chemistry 14 (2022) 1061–1067.
date_created: 2024-09-06T13:05:31Z
date_published: 2022-07-07T00:00:00Z
date_updated: 2024-12-10T09:37:45Z
day: '07'
doi: 10.1038/s41557-022-00978-1
extern: '1'
external_id:
  pmid:
  - '35798950'
intvolume: '        14'
issue: '9'
language:
- iso: eng
month: '07'
oa_version: None
page: 1061-1067
pmid: 1
publication: Nature Chemistry
publication_identifier:
  eissn:
  - 1755-4349
  issn:
  - 1755-4330
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Highly conducting single-molecule topological insulators based on mono- and
  di-radical cations
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 14
year: '2022'
...
---
_id: '17872'
abstract:
- lang: eng
  text: Coherent tunneling electron transport through molecular wires has been theoretically
    established as a temperature-independent process. Although several experimental
    studies have shown counter examples, robust models to describe this temperature
    dependence have not been thoroughly developed. Here, we demonstrate that dynamic
    molecular structures lead to temperature-dependent conductance within coherent
    tunneling regime. Using a custom-built variable-temperature scanning tunneling
    microscopy break-junction instrument, we find that oligo[n]phenylenes exhibit
    clear temperature-dependent conductance. Our calculations reveal that thermally
    activated dihedral rotations allow these molecular wires to have a higher probability
    of being in a planar conformation. As the tunneling occurs primarily through π-orbitals,
    enhanced coplanarization substantially increases the time-averaged tunneling probability.
    These calculations are consistent with the observation that more rotational pivot
    points in longer molecular wires leads to larger temperature-dependence on conductance.
    These findings reveal that molecular conductance within coherent and off-resonant
    electron transport regimes can be controlled by manipulating dynamic molecular
    structure.
article_processing_charge: No
article_type: letter_note
author:
- first_name: Woojung
  full_name: Lee, Woojung
  last_name: Lee
- first_name: Shayan
  full_name: Louie, Shayan
  last_name: Louie
- first_name: Austin M.
  full_name: Evans, Austin M.
  last_name: Evans
- first_name: Nicholas M.
  full_name: Orchanian, Nicholas M.
  last_name: Orchanian
- first_name: Ilana B.
  full_name: Stone, Ilana B.
  last_name: Stone
- first_name: Boyuan
  full_name: Zhang, Boyuan
  last_name: Zhang
- first_name: Yujing
  full_name: Wei, Yujing
  last_name: Wei
- first_name: Xavier
  full_name: Roy, Xavier
  last_name: Roy
- first_name: Colin
  full_name: Nuckolls, Colin
  last_name: Nuckolls
- first_name: Latha
  full_name: Venkataraman, Latha
  id: 9ebb78a5-cc0d-11ee-8322-fae086a32caf
  last_name: Venkataraman
  orcid: 0000-0002-6957-6089
citation:
  ama: Lee W, Louie S, Evans AM, et al. Increased molecular conductance in Oligo[n]phenylene
    wires by thermally enhanced dihedral planarization. <i>Nano Letters</i>. 2022;22(12):4919-4924.
    doi:<a href="https://doi.org/10.1021/acs.nanolett.2c01549">10.1021/acs.nanolett.2c01549</a>
  apa: Lee, W., Louie, S., Evans, A. M., Orchanian, N. M., Stone, I. B., Zhang, B.,
    … Venkataraman, L. (2022). Increased molecular conductance in Oligo[n]phenylene
    wires by thermally enhanced dihedral planarization. <i>Nano Letters</i>. American
    Chemical Society. <a href="https://doi.org/10.1021/acs.nanolett.2c01549">https://doi.org/10.1021/acs.nanolett.2c01549</a>
  chicago: Lee, Woojung, Shayan Louie, Austin M. Evans, Nicholas M. Orchanian, Ilana
    B. Stone, Boyuan Zhang, Yujing Wei, Xavier Roy, Colin Nuckolls, and Latha Venkataraman.
    “Increased Molecular Conductance in Oligo[n]Phenylene Wires by Thermally Enhanced
    Dihedral Planarization.” <i>Nano Letters</i>. American Chemical Society, 2022.
    <a href="https://doi.org/10.1021/acs.nanolett.2c01549">https://doi.org/10.1021/acs.nanolett.2c01549</a>.
  ieee: W. Lee <i>et al.</i>, “Increased molecular conductance in Oligo[n]phenylene
    wires by thermally enhanced dihedral planarization,” <i>Nano Letters</i>, vol.
    22, no. 12. American Chemical Society, pp. 4919–4924, 2022.
  ista: Lee W, Louie S, Evans AM, Orchanian NM, Stone IB, Zhang B, Wei Y, Roy X, Nuckolls
    C, Venkataraman L. 2022. Increased molecular conductance in Oligo[n]phenylene
    wires by thermally enhanced dihedral planarization. Nano Letters. 22(12), 4919–4924.
  mla: Lee, Woojung, et al. “Increased Molecular Conductance in Oligo[n]Phenylene
    Wires by Thermally Enhanced Dihedral Planarization.” <i>Nano Letters</i>, vol.
    22, no. 12, American Chemical Society, 2022, pp. 4919–24, doi:<a href="https://doi.org/10.1021/acs.nanolett.2c01549">10.1021/acs.nanolett.2c01549</a>.
  short: W. Lee, S. Louie, A.M. Evans, N.M. Orchanian, I.B. Stone, B. Zhang, Y. Wei,
    X. Roy, C. Nuckolls, L. Venkataraman, Nano Letters 22 (2022) 4919–4924.
date_created: 2024-09-06T13:06:35Z
date_published: 2022-05-31T00:00:00Z
date_updated: 2024-12-10T09:40:39Z
day: '31'
doi: 10.1021/acs.nanolett.2c01549
extern: '1'
external_id:
  pmid:
  - '35640062'
intvolume: '        22'
issue: '12'
language:
- iso: eng
month: '05'
oa_version: None
page: 4919-4924
pmid: 1
publication: Nano Letters
publication_identifier:
  eissn:
  - 1530-6992
  issn:
  - 1530-6984
publication_status: published
publisher: American Chemical Society
quality_controlled: '1'
scopus_import: '1'
status: public
title: Increased molecular conductance in Oligo[n]phenylene wires by thermally enhanced
  dihedral planarization
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 22
year: '2022'
...
---
OA_place: repository
OA_type: green
_id: '17873'
abstract:
- lang: eng
  text: <jats:title>Abstract</jats:title><jats:p>A critical overview of the theory
    of the chirality‐induced spin selectivity (CISS) effect, that is, phenomena in
    which the chirality of molecular species imparts significant spin selectivity
    to various electron processes, is provided. Based on discussions in a recently
    held workshop, and further work published since, the status of CISS effects—in
    electron transmission, electron transport, and chemical reactions—is reviewed.
    For each, a detailed discussion of the state‐of‐the‐art in theoretical understanding
    is provided and remaining challenges and research opportunities are identified.</jats:p>
article_number: '2106629'
article_processing_charge: No
article_type: review
arxiv: 1
author:
- first_name: Ferdinand
  full_name: Evers, Ferdinand
  last_name: Evers
- first_name: Amnon
  full_name: Aharony, Amnon
  last_name: Aharony
- first_name: Nir
  full_name: Bar‐Gill, Nir
  last_name: Bar‐Gill
- first_name: Ora
  full_name: Entin‐Wohlman, Ora
  last_name: Entin‐Wohlman
- first_name: Per
  full_name: Hedegård, Per
  last_name: Hedegård
- first_name: Oded
  full_name: Hod, Oded
  last_name: Hod
- first_name: Pavel
  full_name: Jelinek, Pavel
  last_name: Jelinek
- first_name: Grzegorz
  full_name: Kamieniarz, Grzegorz
  last_name: Kamieniarz
- first_name: Mikhail
  full_name: Lemeshko, Mikhail
  last_name: Lemeshko
- first_name: Karen
  full_name: Michaeli, Karen
  last_name: Michaeli
- first_name: Vladimiro
  full_name: Mujica, Vladimiro
  last_name: Mujica
- first_name: Ron
  full_name: Naaman, Ron
  last_name: Naaman
- first_name: Yossi
  full_name: Paltiel, Yossi
  last_name: Paltiel
- first_name: Sivan
  full_name: Refaely‐Abramson, Sivan
  last_name: Refaely‐Abramson
- first_name: Oren
  full_name: Tal, Oren
  last_name: Tal
- first_name: Jos
  full_name: Thijssen, Jos
  last_name: Thijssen
- first_name: Michael
  full_name: Thoss, Michael
  last_name: Thoss
- first_name: Jan M.
  full_name: van Ruitenbeek, Jan M.
  last_name: van Ruitenbeek
- first_name: Latha
  full_name: Venkataraman, Latha
  id: 9ebb78a5-cc0d-11ee-8322-fae086a32caf
  last_name: Venkataraman
  orcid: 0000-0002-6957-6089
- first_name: David H.
  full_name: Waldeck, David H.
  last_name: Waldeck
- first_name: Binghai
  full_name: Yan, Binghai
  last_name: Yan
- first_name: Leeor
  full_name: Kronik, Leeor
  last_name: Kronik
citation:
  ama: 'Evers F, Aharony A, Bar‐Gill N, et al. Theory of chirality induced spin selectivity:
    Progress and challenges. <i>Advanced Materials</i>. 2022;34(13). doi:<a href="https://doi.org/10.1002/adma.202106629">10.1002/adma.202106629</a>'
  apa: 'Evers, F., Aharony, A., Bar‐Gill, N., Entin‐Wohlman, O., Hedegård, P., Hod,
    O., … Kronik, L. (2022). Theory of chirality induced spin selectivity: Progress
    and challenges. <i>Advanced Materials</i>. Wiley. <a href="https://doi.org/10.1002/adma.202106629">https://doi.org/10.1002/adma.202106629</a>'
  chicago: 'Evers, Ferdinand, Amnon Aharony, Nir Bar‐Gill, Ora Entin‐Wohlman, Per
    Hedegård, Oded Hod, Pavel Jelinek, et al. “Theory of Chirality Induced Spin Selectivity:
    Progress and Challenges.” <i>Advanced Materials</i>. Wiley, 2022. <a href="https://doi.org/10.1002/adma.202106629">https://doi.org/10.1002/adma.202106629</a>.'
  ieee: 'F. Evers <i>et al.</i>, “Theory of chirality induced spin selectivity: Progress
    and challenges,” <i>Advanced Materials</i>, vol. 34, no. 13. Wiley, 2022.'
  ista: 'Evers F, Aharony A, Bar‐Gill N, Entin‐Wohlman O, Hedegård P, Hod O, Jelinek
    P, Kamieniarz G, Lemeshko M, Michaeli K, Mujica V, Naaman R, Paltiel Y, Refaely‐Abramson
    S, Tal O, Thijssen J, Thoss M, van Ruitenbeek JM, Venkataraman L, Waldeck DH,
    Yan B, Kronik L. 2022. Theory of chirality induced spin selectivity: Progress
    and challenges. Advanced Materials. 34(13), 2106629.'
  mla: 'Evers, Ferdinand, et al. “Theory of Chirality Induced Spin Selectivity: Progress
    and Challenges.” <i>Advanced Materials</i>, vol. 34, no. 13, 2106629, Wiley, 2022,
    doi:<a href="https://doi.org/10.1002/adma.202106629">10.1002/adma.202106629</a>.'
  short: F. Evers, A. Aharony, N. Bar‐Gill, O. Entin‐Wohlman, P. Hedegård, O. Hod,
    P. Jelinek, G. Kamieniarz, M. Lemeshko, K. Michaeli, V. Mujica, R. Naaman, Y.
    Paltiel, S. Refaely‐Abramson, O. Tal, J. Thijssen, M. Thoss, J.M. van Ruitenbeek,
    L. Venkataraman, D.H. Waldeck, B. Yan, L. Kronik, Advanced Materials 34 (2022).
date_created: 2024-09-06T13:07:43Z
date_published: 2022-04-01T00:00:00Z
date_updated: 2024-12-10T09:43:10Z
day: '01'
doi: 10.1002/adma.202106629
extern: '1'
external_id:
  arxiv:
  - '2108.09998'
  pmid:
  - '35064943'
intvolume: '        34'
issue: '13'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://arxiv.org/abs/2108.09998
month: '04'
oa: 1
oa_version: Preprint
pmid: 1
publication: Advanced Materials
publication_identifier:
  issn:
  - 0935-9648
  - 1521-4095
publication_status: published
publisher: Wiley
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'Theory of chirality induced spin selectivity: Progress and challenges'
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 34
year: '2022'
...
---
DOAJ_listed: '1'
OA_place: publisher
OA_type: gold
_id: '17874'
abstract:
- lang: eng
  text: Redox-active two-dimensional polymers (RA-2DPs) are promising lithium battery
    organic cathode materials due to their regular porosities and high chemical stabilities.
    However, weak electrical conductivities inherent to the non-conjugated molecular
    motifs used thus far limit device performance and the practical relevance of these
    materials. We herein address this problem by developing a modular approach to
    construct π-conjugated RA-2DPs with a new polycyclic aromatic redox-active building
    block PDI-DA. Efficient imine-condensation between PDI-DA and two polyfunctional
    amine nodes followed by quantitative alkyl chain removal produced RA-2DPs TAPPy-PDI
    and TAPB-PDI as conjugated, porous, polycrystalline networks. In-plane conjugation
    and permanent porosity endow these materials with high electrical conductivity
    and high ion diffusion rates. As such, both RA-2DPs function as organic cathode
    materials with good rate performance and excellent cycling stability. Importantly,
    the improved design enables higher areal mass-loadings than were previously available,
    which drives a practical demonstration of TAPPy-PDI as the power source for a
    series of LED lights. Collectively, this investigation discloses viable synthetic
    methodologies and design principles for the realization of high-performance organic
    cathode materials.
article_processing_charge: Yes
article_type: original
author:
- first_name: Zexin
  full_name: Jin, Zexin
  last_name: Jin
- first_name: Qian
  full_name: Cheng, Qian
  last_name: Cheng
- first_name: Austin M.
  full_name: Evans, Austin M.
  last_name: Evans
- first_name: Jesse
  full_name: Gray, Jesse
  last_name: Gray
- first_name: Ruiwen
  full_name: Zhang, Ruiwen
  last_name: Zhang
- first_name: Si Tong
  full_name: Bao, Si Tong
  last_name: Bao
- first_name: Fengkai
  full_name: Wei, Fengkai
  last_name: Wei
- first_name: Latha
  full_name: Venkataraman, Latha
  id: 9ebb78a5-cc0d-11ee-8322-fae086a32caf
  last_name: Venkataraman
  orcid: 0000-0002-6957-6089
- first_name: Yuan
  full_name: Yang, Yuan
  last_name: Yang
- first_name: Colin
  full_name: Nuckolls, Colin
  last_name: Nuckolls
citation:
  ama: Jin Z, Cheng Q, Evans AM, et al. π-Conjugated redox-active two-dimensional
    polymers as organic cathode materials. <i>Chemical Science</i>. 2022;13(12):3533-3538.
    doi:<a href="https://doi.org/10.1039/d1sc07157b">10.1039/d1sc07157b</a>
  apa: Jin, Z., Cheng, Q., Evans, A. M., Gray, J., Zhang, R., Bao, S. T., … Nuckolls,
    C. (2022). π-Conjugated redox-active two-dimensional polymers as organic cathode
    materials. <i>Chemical Science</i>. Royal Society of Chemistry. <a href="https://doi.org/10.1039/d1sc07157b">https://doi.org/10.1039/d1sc07157b</a>
  chicago: Jin, Zexin, Qian Cheng, Austin M. Evans, Jesse Gray, Ruiwen Zhang, Si Tong
    Bao, Fengkai Wei, Latha Venkataraman, Yuan Yang, and Colin Nuckolls. “π-Conjugated
    Redox-Active Two-Dimensional Polymers as Organic Cathode Materials.” <i>Chemical
    Science</i>. Royal Society of Chemistry, 2022. <a href="https://doi.org/10.1039/d1sc07157b">https://doi.org/10.1039/d1sc07157b</a>.
  ieee: Z. Jin <i>et al.</i>, “π-Conjugated redox-active two-dimensional polymers
    as organic cathode materials,” <i>Chemical Science</i>, vol. 13, no. 12. Royal
    Society of Chemistry, pp. 3533–3538, 2022.
  ista: Jin Z, Cheng Q, Evans AM, Gray J, Zhang R, Bao ST, Wei F, Venkataraman L,
    Yang Y, Nuckolls C. 2022. π-Conjugated redox-active two-dimensional polymers as
    organic cathode materials. Chemical Science. 13(12), 3533–3538.
  mla: Jin, Zexin, et al. “π-Conjugated Redox-Active Two-Dimensional Polymers as Organic
    Cathode Materials.” <i>Chemical Science</i>, vol. 13, no. 12, Royal Society of
    Chemistry, 2022, pp. 3533–38, doi:<a href="https://doi.org/10.1039/d1sc07157b">10.1039/d1sc07157b</a>.
  short: Z. Jin, Q. Cheng, A.M. Evans, J. Gray, R. Zhang, S.T. Bao, F. Wei, L. Venkataraman,
    Y. Yang, C. Nuckolls, Chemical Science 13 (2022) 3533–3538.
date_created: 2024-09-06T13:08:38Z
date_published: 2022-03-08T00:00:00Z
date_updated: 2024-12-10T09:54:17Z
day: '08'
doi: 10.1039/d1sc07157b
extern: '1'
intvolume: '        13'
issue: '12'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1039/D1SC07157B
month: '03'
oa: 1
oa_version: Published Version
page: 3533-3538
publication: Chemical Science
publication_identifier:
  eissn:
  - 2041-6539
  issn:
  - 2041-6520
publication_status: published
publisher: Royal Society of Chemistry
quality_controlled: '1'
scopus_import: '1'
status: public
title: π-Conjugated redox-active two-dimensional polymers as organic cathode materials
tmp:
  image: /images/cc_by_nc.png
  legal_code_url: https://creativecommons.org/licenses/by-nc/3.0/legalcode
  name: Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)
  short: CC BY-NC (3.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 13
year: '2022'
...
---
OA_type: closed access
_id: '17875'
abstract:
- lang: eng
  text: Nanoscale plasmonic structures have been primarily characterized through scattering
    studies, but electroluminescence offers an exciting alternative from a technological
    standpoint by removing the need for optical excitation. In sub-nanometer biased
    junctions, electronic tunneling can serve as the excitation source for plasmon-coupled
    electroluminescence, but the gap size dependence to this plasmonic enhancement
    has not been characterized. Here, we simultaneously probe the electroluminescence
    and conductance of Au tunnel junctions. We find that plasmonic enhancement increases
    as the gap size is reduced for junctions biased between 1.4 and 1.8 V, consistent
    with the behavior of charge transfer plasmons. At biases above 1.9 V, we see decreasing
    plasmonic enhancement with the decreasing gap, showing quenching due to tunneling
    in remarkable agreement with the trends observed for high energy plasmons in scattering
    experiments. Critically, we find that plasmonic enhancement of electroluminescence
    is gap size-dependent and, furthermore, is in agreement with the nature of modes
    excited by scattering.
article_processing_charge: No
article_type: original
author:
- first_name: Angela L.
  full_name: Paoletta, Angela L.
  last_name: Paoletta
- first_name: E-Dean
  full_name: Fung, E-Dean
  last_name: Fung
- first_name: Latha
  full_name: Venkataraman, Latha
  id: 9ebb78a5-cc0d-11ee-8322-fae086a32caf
  last_name: Venkataraman
  orcid: 0000-0002-6957-6089
citation:
  ama: Paoletta AL, Fung E-D, Venkataraman L. Gap size-dependent plasmonic enhancement
    in electroluminescent tunnel junctions. <i>ACS Photonics</i>. 2022;9(2):688-693.
    doi:<a href="https://doi.org/10.1021/acsphotonics.1c01757">10.1021/acsphotonics.1c01757</a>
  apa: Paoletta, A. L., Fung, E.-D., &#38; Venkataraman, L. (2022). Gap size-dependent
    plasmonic enhancement in electroluminescent tunnel junctions. <i>ACS Photonics</i>.
    American Chemical Society. <a href="https://doi.org/10.1021/acsphotonics.1c01757">https://doi.org/10.1021/acsphotonics.1c01757</a>
  chicago: Paoletta, Angela L., E-Dean Fung, and Latha Venkataraman. “Gap Size-Dependent
    Plasmonic Enhancement in Electroluminescent Tunnel Junctions.” <i>ACS Photonics</i>.
    American Chemical Society, 2022. <a href="https://doi.org/10.1021/acsphotonics.1c01757">https://doi.org/10.1021/acsphotonics.1c01757</a>.
  ieee: A. L. Paoletta, E.-D. Fung, and L. Venkataraman, “Gap size-dependent plasmonic
    enhancement in electroluminescent tunnel junctions,” <i>ACS Photonics</i>, vol.
    9, no. 2. American Chemical Society, pp. 688–693, 2022.
  ista: Paoletta AL, Fung E-D, Venkataraman L. 2022. Gap size-dependent plasmonic
    enhancement in electroluminescent tunnel junctions. ACS Photonics. 9(2), 688–693.
  mla: Paoletta, Angela L., et al. “Gap Size-Dependent Plasmonic Enhancement in Electroluminescent
    Tunnel Junctions.” <i>ACS Photonics</i>, vol. 9, no. 2, American Chemical Society,
    2022, pp. 688–93, doi:<a href="https://doi.org/10.1021/acsphotonics.1c01757">10.1021/acsphotonics.1c01757</a>.
  short: A.L. Paoletta, E.-D. Fung, L. Venkataraman, ACS Photonics 9 (2022) 688–693.
date_created: 2024-09-06T13:09:45Z
date_published: 2022-01-14T00:00:00Z
date_updated: 2024-12-10T10:01:03Z
day: '14'
doi: 10.1021/acsphotonics.1c01757
extern: '1'
intvolume: '         9'
issue: '2'
language:
- iso: eng
month: '01'
oa_version: None
page: 688-693
publication: ACS Photonics
publication_identifier:
  issn:
  - 2330-4022
publication_status: published
publisher: American Chemical Society
quality_controlled: '1'
scopus_import: '1'
status: public
title: Gap size-dependent plasmonic enhancement in electroluminescent tunnel junctions
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 9
year: '2022'
...
---
_id: '18191'
abstract:
- lang: eng
  text: 'Large-scale quantum devices provide insights beyond the reach of classical
    simulations. However, for a reliable and verifiable quantum simulation, the building
    blocks of the quantum device require exquisite benchmarking. This benchmarking
    of large-scale dynamical quantum systems represents a major challenge due to lack
    of efficient tools for their simulation. Here, we present a scalable algorithm
    based on neural networks for Hamiltonian tomography in out-of-equilibrium quantum
    systems. We illustrate our approach using a model for a forefront quantum simulation
    platform: ultracold atoms in optical lattices. Specifically, we show that our
    algorithm is able to reconstruct the Hamiltonian of an arbitrary sized bosonic
    ladder system using an accessible amount of experimental measurements. We are
    able to significantly increase the previously known parameter precision.'
article_number: '023302'
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Agnes
  full_name: Valenti, Agnes
  last_name: Valenti
- first_name: Guliuxin
  full_name: Jin, Guliuxin
  last_name: Jin
- first_name: Julian
  full_name: Leonard, Julian
  id: b75b3f45-7995-11ef-9bfd-9a9cd02c3577
  last_name: Leonard
- first_name: Sebastian D.
  full_name: Huber, Sebastian D.
  last_name: Huber
- first_name: Eliska
  full_name: Greplova, Eliska
  last_name: Greplova
citation:
  ama: Valenti A, Jin G, Leonard J, Huber SD, Greplova E. Scalable Hamiltonian learning
    for large-scale out-of-equilibrium quantum dynamics. <i>Physical Review A</i>.
    2022;105(2). doi:<a href="https://doi.org/10.1103/physreva.105.023302">10.1103/physreva.105.023302</a>
  apa: Valenti, A., Jin, G., Leonard, J., Huber, S. D., &#38; Greplova, E. (2022).
    Scalable Hamiltonian learning for large-scale out-of-equilibrium quantum dynamics.
    <i>Physical Review A</i>. American Physical Society. <a href="https://doi.org/10.1103/physreva.105.023302">https://doi.org/10.1103/physreva.105.023302</a>
  chicago: Valenti, Agnes, Guliuxin Jin, Julian Leonard, Sebastian D. Huber, and Eliska
    Greplova. “Scalable Hamiltonian Learning for Large-Scale out-of-Equilibrium Quantum
    Dynamics.” <i>Physical Review A</i>. American Physical Society, 2022. <a href="https://doi.org/10.1103/physreva.105.023302">https://doi.org/10.1103/physreva.105.023302</a>.
  ieee: A. Valenti, G. Jin, J. Leonard, S. D. Huber, and E. Greplova, “Scalable Hamiltonian
    learning for large-scale out-of-equilibrium quantum dynamics,” <i>Physical Review
    A</i>, vol. 105, no. 2. American Physical Society, 2022.
  ista: Valenti A, Jin G, Leonard J, Huber SD, Greplova E. 2022. Scalable Hamiltonian
    learning for large-scale out-of-equilibrium quantum dynamics. Physical Review
    A. 105(2), 023302.
  mla: Valenti, Agnes, et al. “Scalable Hamiltonian Learning for Large-Scale out-of-Equilibrium
    Quantum Dynamics.” <i>Physical Review A</i>, vol. 105, no. 2, 023302, American
    Physical Society, 2022, doi:<a href="https://doi.org/10.1103/physreva.105.023302">10.1103/physreva.105.023302</a>.
  short: A. Valenti, G. Jin, J. Leonard, S.D. Huber, E. Greplova, Physical Review
    A 105 (2022).
date_created: 2024-10-07T11:46:53Z
date_published: 2022-02-01T00:00:00Z
date_updated: 2024-10-08T10:00:23Z
day: '01'
doi: 10.1103/physreva.105.023302
extern: '1'
external_id:
  arxiv:
  - '2103.01240'
intvolume: '       105'
issue: '2'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.48550/arXiv.2103.01240
month: '02'
oa: 1
oa_version: Preprint
publication: Physical Review A
publication_identifier:
  eissn:
  - 2469-9934
  issn:
  - 2469-9926
publication_status: published
publisher: American Physical Society
quality_controlled: '1'
scopus_import: '1'
status: public
title: Scalable Hamiltonian learning for large-scale out-of-equilibrium quantum dynamics
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 105
year: '2022'
...
---
_id: '18211'
abstract:
- lang: eng
  text: 'Deep neural networks are known to be vulnerable to malicious perturbations.
    Current methods for improving adversarial robustness make use of either implicit
    or explicit regularization, with the latter is usually based on adversarial training.
    Randomized smoothing, the averaging of the classifier outputs over a random distribution
    centered in the sample, has been shown to guarantee a classifier’s performance
    subject to bounded perturbations of the input. In this work, we study the application
    of randomized smoothing to improve performance on unperturbed data and increase
    robustness to adversarial attacks. We propose to combine smoothing along with
    adversarial training and randomization approaches, and find that doing so significantly
    improves the resilience compared to the baseline. We examine our method’s performance
    on common whitebox (FGSM, PGD) and black-box (transferable attack and NAttack)
    attacks on CIFAR-10 and CIFAR-100, and determine that for a low number of iterations,
    smoothing provides a significant performance boost that persists even for perturbations
    with a high attack norm, . For example, under a PGD-10 attack on CIFAR-10 using
    Wide-ResNet28-4, we achieve 60.3% accuracy for infinity norm ∞ = 8/255 and 13.1%
    accuracy for ∞ = 35/255 – outperforming previous art by 3% and 6%, respectively.
    We achieve nearly twice the accuracy on ∞ = 35/255 and even more so for perturbations
    with higher infinity norm. A reference implementation of the proposed method is
    provided. '
article_processing_charge: No
article_type: original
author:
- first_name: Yaniv
  full_name: Nemcovsky, Yaniv
  last_name: Nemcovsky
- first_name: Evgenii
  full_name: Zheltonozhskii, Evgenii
  last_name: Zheltonozhskii
- first_name: Chaim
  full_name: Baskin, Chaim
  last_name: Baskin
- first_name: Brian
  full_name: Chmiel, Brian
  last_name: Chmiel
- first_name: Alexander
  full_name: Bronstein, Alexander
  id: 58f3726e-7cba-11ef-ad8b-e6e8cb3904e6
  last_name: Bronstein
  orcid: 0000-0001-9699-8730
- first_name: Avi
  full_name: Mendelson, Avi
  last_name: Mendelson
citation:
  ama: Nemcovsky Y, Zheltonozhskii E, Baskin C, Chmiel B, Bronstein AM, Mendelson
    A. Adversarial robustness via noise injection in smoothed models. <i>Applied Intelligence</i>.
    2022;53(8):9483-9498. doi:<a href="https://doi.org/10.1007/s10489-022-03423-5">10.1007/s10489-022-03423-5</a>
  apa: Nemcovsky, Y., Zheltonozhskii, E., Baskin, C., Chmiel, B., Bronstein, A. M.,
    &#38; Mendelson, A. (2022). Adversarial robustness via noise injection in smoothed
    models. <i>Applied Intelligence</i>. Springer Nature. <a href="https://doi.org/10.1007/s10489-022-03423-5">https://doi.org/10.1007/s10489-022-03423-5</a>
  chicago: Nemcovsky, Yaniv, Evgenii Zheltonozhskii, Chaim Baskin, Brian Chmiel, Alex
    M. Bronstein, and Avi Mendelson. “Adversarial Robustness via Noise Injection in
    Smoothed Models.” <i>Applied Intelligence</i>. Springer Nature, 2022. <a href="https://doi.org/10.1007/s10489-022-03423-5">https://doi.org/10.1007/s10489-022-03423-5</a>.
  ieee: Y. Nemcovsky, E. Zheltonozhskii, C. Baskin, B. Chmiel, A. M. Bronstein, and
    A. Mendelson, “Adversarial robustness via noise injection in smoothed models,”
    <i>Applied Intelligence</i>, vol. 53, no. 8. Springer Nature, pp. 9483–9498, 2022.
  ista: Nemcovsky Y, Zheltonozhskii E, Baskin C, Chmiel B, Bronstein AM, Mendelson
    A. 2022. Adversarial robustness via noise injection in smoothed models. Applied
    Intelligence. 53(8), 9483–9498.
  mla: Nemcovsky, Yaniv, et al. “Adversarial Robustness via Noise Injection in Smoothed
    Models.” <i>Applied Intelligence</i>, vol. 53, no. 8, Springer Nature, 2022, pp.
    9483–98, doi:<a href="https://doi.org/10.1007/s10489-022-03423-5">10.1007/s10489-022-03423-5</a>.
  short: Y. Nemcovsky, E. Zheltonozhskii, C. Baskin, B. Chmiel, A.M. Bronstein, A.
    Mendelson, Applied Intelligence 53 (2022) 9483–9498.
date_created: 2024-10-08T12:47:53Z
date_published: 2022-08-09T00:00:00Z
date_updated: 2024-10-09T11:04:54Z
day: '09'
doi: 10.1007/s10489-022-03423-5
extern: '1'
intvolume: '        53'
issue: '8'
language:
- iso: eng
month: '08'
oa_version: None
page: 9483-9498
publication: Applied Intelligence
publication_identifier:
  eissn:
  - 1573-7497
  issn:
  - 0924-669X
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Adversarial robustness via noise injection in smoothed models
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 53
year: '2022'
...
---
DOAJ_listed: '1'
OA_place: publisher
OA_type: gold
_id: '18220'
abstract:
- lang: eng
  text: Synonymous codons translate into the same amino acid. Although the identity
    of synonymous codons is often considered inconsequential to the final protein
    structure, there is mounting evidence for an association between the two. Our
    study examined this association using regression and classification models, finding
    that codon sequences predict protein backbone dihedral angles with a lower error
    than amino acid sequences, and that models trained with true dihedral angles have
    better classification of synonymous codons given structural information than models
    trained with random dihedral angles. Using this classification approach, we investigated
    local codon–codon dependencies and tested whether synonymous codon identity can
    be predicted more accurately from codon context than amino acid context alone,
    and most specifically which codon context position carries the most predictive
    power.
article_number: '21968'
article_processing_charge: Yes
article_type: original
author:
- first_name: Linor
  full_name: Ackerman-Schraier, Linor
  last_name: Ackerman-Schraier
- first_name: Aviv A.
  full_name: Rosenberg, Aviv A.
  last_name: Rosenberg
- first_name: Ailie
  full_name: Marx, Ailie
  last_name: Marx
- first_name: Alexander
  full_name: Bronstein, Alexander
  id: 58f3726e-7cba-11ef-ad8b-e6e8cb3904e6
  last_name: Bronstein
  orcid: 0000-0001-9699-8730
citation:
  ama: Ackerman-Schraier L, Rosenberg AA, Marx A, Bronstein AM. Machine learning approaches
    demonstrate that protein structures carry information about their genetic coding.
    <i>Scientific Reports</i>. 2022;12. doi:<a href="https://doi.org/10.1038/s41598-022-25874-z">10.1038/s41598-022-25874-z</a>
  apa: Ackerman-Schraier, L., Rosenberg, A. A., Marx, A., &#38; Bronstein, A. M. (2022).
    Machine learning approaches demonstrate that protein structures carry information
    about their genetic coding. <i>Scientific Reports</i>. Springer Nature. <a href="https://doi.org/10.1038/s41598-022-25874-z">https://doi.org/10.1038/s41598-022-25874-z</a>
  chicago: Ackerman-Schraier, Linor, Aviv A. Rosenberg, Ailie Marx, and Alex M. Bronstein.
    “Machine Learning Approaches Demonstrate That Protein Structures Carry Information
    about Their Genetic Coding.” <i>Scientific Reports</i>. Springer Nature, 2022.
    <a href="https://doi.org/10.1038/s41598-022-25874-z">https://doi.org/10.1038/s41598-022-25874-z</a>.
  ieee: L. Ackerman-Schraier, A. A. Rosenberg, A. Marx, and A. M. Bronstein, “Machine
    learning approaches demonstrate that protein structures carry information about
    their genetic coding,” <i>Scientific Reports</i>, vol. 12. Springer Nature, 2022.
  ista: Ackerman-Schraier L, Rosenberg AA, Marx A, Bronstein AM. 2022. Machine learning
    approaches demonstrate that protein structures carry information about their genetic
    coding. Scientific Reports. 12, 21968.
  mla: Ackerman-Schraier, Linor, et al. “Machine Learning Approaches Demonstrate That
    Protein Structures Carry Information about Their Genetic Coding.” <i>Scientific
    Reports</i>, vol. 12, 21968, Springer Nature, 2022, doi:<a href="https://doi.org/10.1038/s41598-022-25874-z">10.1038/s41598-022-25874-z</a>.
  short: L. Ackerman-Schraier, A.A. Rosenberg, A. Marx, A.M. Bronstein, Scientific
    Reports 12 (2022).
date_created: 2024-10-08T12:52:29Z
date_published: 2022-12-20T00:00:00Z
date_updated: 2024-10-14T09:46:06Z
day: '20'
doi: 10.1038/s41598-022-25874-z
extern: '1'
external_id:
  pmid:
  - '36539476'
intvolume: '        12'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1038/s41598-022-25874-z
month: '12'
oa: 1
oa_version: Published Version
pmid: 1
publication: Scientific Reports
publication_identifier:
  issn:
  - 2045-2322
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Machine learning approaches demonstrate that protein structures carry information
  about their genetic coding
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 12
year: '2022'
...
---
DOAJ_listed: '1'
OA_place: publisher
OA_type: gold
_id: '18221'
abstract:
- lang: eng
  text: Synonymous codons translate into chemically identical amino acids. Once considered
    inconsequential to the formation of the protein product, there is evidence to
    suggest that codon usage affects co-translational protein folding and the final
    structure of the expressed protein. Here we develop a method for computing and
    comparing codon-specific Ramachandran plots and demonstrate that the backbone
    dihedral angle distributions of some synonymous codons are distinguishable with
    statistical significance for some secondary structures. This shows that there
    exists a dependence between codon identity and backbone torsion of the translated
    amino acid. Although these findings cannot pinpoint the causal direction of this
    dependence, we discuss the vast biological implications should coding be shown
    to directly shape protein conformation and demonstrate the usefulness of this
    method as a tool for probing associations between codon usage and protein structure.
    Finally, we urge for the inclusion of exact genetic information into structural
    databases.
article_number: '2815'
article_processing_charge: Yes
article_type: original
author:
- first_name: Aviv A.
  full_name: Rosenberg, Aviv A.
  last_name: Rosenberg
- first_name: Ailie
  full_name: Marx, Ailie
  last_name: Marx
- first_name: Alexander
  full_name: Bronstein, Alexander
  id: 58f3726e-7cba-11ef-ad8b-e6e8cb3904e6
  last_name: Bronstein
  orcid: 0000-0001-9699-8730
citation:
  ama: Rosenberg AA, Marx A, Bronstein AM. Codon-specific Ramachandran plots show
    amino acid backbone conformation depends on identity of the translated codon.
    <i>Nature Communications</i>. 2022;13. doi:<a href="https://doi.org/10.1038/s41467-022-30390-9">10.1038/s41467-022-30390-9</a>
  apa: Rosenberg, A. A., Marx, A., &#38; Bronstein, A. M. (2022). Codon-specific Ramachandran
    plots show amino acid backbone conformation depends on identity of the translated
    codon. <i>Nature Communications</i>. Springer Nature. <a href="https://doi.org/10.1038/s41467-022-30390-9">https://doi.org/10.1038/s41467-022-30390-9</a>
  chicago: Rosenberg, Aviv A., Ailie Marx, and Alex M. Bronstein. “Codon-Specific
    Ramachandran Plots Show Amino Acid Backbone Conformation Depends on Identity of
    the Translated Codon.” <i>Nature Communications</i>. Springer Nature, 2022. <a
    href="https://doi.org/10.1038/s41467-022-30390-9">https://doi.org/10.1038/s41467-022-30390-9</a>.
  ieee: A. A. Rosenberg, A. Marx, and A. M. Bronstein, “Codon-specific Ramachandran
    plots show amino acid backbone conformation depends on identity of the translated
    codon,” <i>Nature Communications</i>, vol. 13. Springer Nature, 2022.
  ista: Rosenberg AA, Marx A, Bronstein AM. 2022. Codon-specific Ramachandran plots
    show amino acid backbone conformation depends on identity of the translated codon.
    Nature Communications. 13, 2815.
  mla: Rosenberg, Aviv A., et al. “Codon-Specific Ramachandran Plots Show Amino Acid
    Backbone Conformation Depends on Identity of the Translated Codon.” <i>Nature
    Communications</i>, vol. 13, 2815, Springer Nature, 2022, doi:<a href="https://doi.org/10.1038/s41467-022-30390-9">10.1038/s41467-022-30390-9</a>.
  short: A.A. Rosenberg, A. Marx, A.M. Bronstein, Nature Communications 13 (2022).
date_created: 2024-10-08T12:53:01Z
date_published: 2022-05-20T00:00:00Z
date_updated: 2024-10-14T09:49:02Z
day: '20'
doi: 10.1038/s41467-022-30390-9
extern: '1'
external_id:
  pmid:
  - '35595777'
intvolume: '        13'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1038/s41467-022-30390-9
month: '05'
oa: 1
oa_version: Published Version
pmid: 1
publication: Nature Communications
publication_identifier:
  issn:
  - 2041-1723
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Codon-specific Ramachandran plots show amino acid backbone conformation depends
  on identity of the translated codon
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 13
year: '2022'
...
---
OA_place: publisher
OA_type: free access
_id: '18222'
abstract:
- lang: eng
  text: "STUDY QUESTION: What is the accuracy and agreement of embryologists when
    assessing the implantation probability of blastocysts using time-lapse imaging
    (TLI), and can it be improved with a data-driven algorithm?\r\n\r\nSUMMARY ANSWER:
    The overall interobserver agreement of a large panel of embryologists was moderate
    and prediction accuracy was modest, while the purpose-built artificial intelligence
    model generally resulted in higher performance metrics.\r\n\r\nWHAT IS KNOWN ALREADY:
    Previous studies have demonstrated significant interobserver variability amongst
    embryologists when assessing embryo quality. However, data concerning embryologists’
    ability to predict implantation probability using TLI is still lacking. Emerging
    technologies based on data-driven tools have shown great promise for improving
    embryo selection and predicting clinical outcomes.\r\n\r\nSTUDY DESIGN, SIZE,
    DURATION: TLI video files of 136 embryos with known implantation data were retrospectively
    collected from two clinical sites between 2018 and 2019 for the performance assessment
    of 36 embryologists and comparison with a deep neural network (DNN).\r\n\r\nPARTICIPANTS/MATERIALS,
    SETTING, METHODS: We recruited 39 embryologists from 13 different countries. All
    participants were blinded to clinical outcomes. A total of 136 TLI videos of embryos
    that reached the blastocyst stage were used for this experiment. Each embryo’s
    likelihood of successfully implanting was assessed by 36 embryologists, providing
    implantation probability grades (IPGs) from 1 to 5, where 1 indicates a very low
    likelihood of implantation and 5 indicates a very high likelihood. Subsequently,
    three embryologists with over 5 years of experience provided Gardner scores. All
    136 blastocysts were categorized into three quality groups based on their Gardner
    scores. Embryologist predictions were then converted into predictions of implantation
    (IPG ≥ 3) and no implantation (IPG ≤ 2). Embryologists’ performance and agreement
    were assessed using Fleiss kappa coefficient. A 10-fold cross-validation DNN was
    developed to provide IPGs for TLI video files. The model’s performance was compared
    to that of the embryologists.\r\n\r\nMAIN RESULTS AND THE ROLE OF CHANCE: Logistic
    regression was employed for the following confounding variables: country of residence,
    academic level, embryo scoring system, log years of experience and experience
    using TLI. None were found to have a statistically significant impact on embryologist
    performance at α = 0.05. The average implantation prediction accuracy for the
    embryologists was 51.9% for all embryos (N = 136). The average accuracy of the
    embryologists when assessing top quality and poor quality embryos (according to
    the Gardner score categorizations) was 57.5% and 57.4%, respectively, and 44.6%
    for fair quality embryos. Overall interobserver agreement was moderate (κ = 0.56,
    N = 136). The best agreement was achieved in the poor + top quality group (κ = 0.65,
    N = 77), while the agreement in the fair quality group was lower (κ = 0.25, N = 59).
    The DNN showed an overall accuracy rate of 62.5%, with accuracies of 62.2%, 61%
    and 65.6% for the poor, fair and top quality groups, respectively. The AUC for
    the DNN was higher than that of the embryologists overall (0.70 DNN vs 0.61 embryologists)
    as well as in all of the Gardner groups (DNN vs embryologists—Poor: 0.69 vs 0.62;
    Fair: 0.67 vs 0.53; Top: 0.77 vs 0.54).\r\n\r\nLIMITATIONS, REASONS FOR CAUTION:
    Blastocyst assessment was performed using video files acquired from time-lapse
    incubators, where each video contained data from a single focal plane. Clinical
    data regarding the underlying cause of infertility and endometrial thickness before
    the transfer was not available, yet may explain implantation failure and lower
    accuracy of IPGs. Implantation was defined as the presence of a gestational sac,
    whereas the detection of fetal heartbeat is a more robust marker of embryo viability.
    The raw data were anonymized to the extent that it was not possible to quantify
    the number of unique patients and cycles included in the study, potentially masking
    the effect of bias from a limited patient pool. Furthermore, the lack of demographic
    data makes it difficult to draw conclusions on how representative the dataset
    was of the wider population. Finally, embryologists were required to assess the
    implantation potential, not embryo quality. Although this is not the traditional
    approach to embryo evaluation, morphology/morphokinetics as a means of assessing
    embryo quality is believed to be strongly correlated with viability and, for some
    methods, implantation potential.\r\n\r\nWIDER IMPLICATIONS OF THE FINDINGS: Embryo
    selection is a key element in IVF success and continues to be a challenge. Improving
    the predictive ability could assist in optimizing implantation success rates and
    other clinical outcomes and could minimize the financial and emotional burden
    on the patient. This study demonstrates moderate agreement rates between embryologists,
    likely due to the subjective nature of embryo assessment. In particular, we found
    that average embryologist accuracy and agreement were significantly lower for
    fair quality embryos when compared with that for top and poor quality embryos.
    Using data-driven algorithms as an assistive tool may help IVF professionals increase
    success rates and promote much needed standardization in the IVF clinic. Our results
    indicate a need for further research regarding technological advancement in this
    field."
article_processing_charge: No
article_type: original
author:
- first_name: Daniel E
  full_name: Fordham, Daniel E
  last_name: Fordham
- first_name: Dror
  full_name: Rosentraub, Dror
  last_name: Rosentraub
- first_name: Avital L
  full_name: Polsky, Avital L
  last_name: Polsky
- first_name: Talia
  full_name: Aviram, Talia
  last_name: Aviram
- first_name: Yotam
  full_name: Wolf, Yotam
  last_name: Wolf
- first_name: Oriel
  full_name: Perl, Oriel
  last_name: Perl
- first_name: Asnat
  full_name: Devir, Asnat
  last_name: Devir
- first_name: Shahar
  full_name: Rosentraub, Shahar
  last_name: Rosentraub
- first_name: David H
  full_name: Silver, David H
  last_name: Silver
- first_name: Yael
  full_name: Gold Zamir, Yael
  last_name: Gold Zamir
- first_name: Alexander
  full_name: Bronstein, Alexander
  id: 58f3726e-7cba-11ef-ad8b-e6e8cb3904e6
  last_name: Bronstein
  orcid: 0000-0001-9699-8730
- first_name: Miguel
  full_name: Lara Lara, Miguel
  last_name: Lara Lara
- first_name: Jara
  full_name: Ben Nagi, Jara
  last_name: Ben Nagi
- first_name: Adrian
  full_name: Alvarez, Adrian
  last_name: Alvarez
- first_name: Santiago
  full_name: Munné, Santiago
  last_name: Munné
citation:
  ama: 'Fordham DE, Rosentraub D, Polsky AL, et al. Embryologist agreement when assessing
    blastocyst implantation probability: Is data-driven prediction the solution to
    embryo assessment subjectivity? <i>Human Reproduction</i>. 2022;37(10):2275-2290.
    doi:<a href="https://doi.org/10.1093/humrep/deac171">10.1093/humrep/deac171</a>'
  apa: 'Fordham, D. E., Rosentraub, D., Polsky, A. L., Aviram, T., Wolf, Y., Perl,
    O., … Munné, S. (2022). Embryologist agreement when assessing blastocyst implantation
    probability: Is data-driven prediction the solution to embryo assessment subjectivity?
    <i>Human Reproduction</i>. Oxford University Press. <a href="https://doi.org/10.1093/humrep/deac171">https://doi.org/10.1093/humrep/deac171</a>'
  chicago: 'Fordham, Daniel E, Dror Rosentraub, Avital L Polsky, Talia Aviram, Yotam
    Wolf, Oriel Perl, Asnat Devir, et al. “Embryologist Agreement When Assessing Blastocyst
    Implantation Probability: Is Data-Driven Prediction the Solution to Embryo Assessment
    Subjectivity?” <i>Human Reproduction</i>. Oxford University Press, 2022. <a href="https://doi.org/10.1093/humrep/deac171">https://doi.org/10.1093/humrep/deac171</a>.'
  ieee: 'D. E. Fordham <i>et al.</i>, “Embryologist agreement when assessing blastocyst
    implantation probability: Is data-driven prediction the solution to embryo assessment
    subjectivity?,” <i>Human Reproduction</i>, vol. 37, no. 10. Oxford University
    Press, pp. 2275–2290, 2022.'
  ista: 'Fordham DE, Rosentraub D, Polsky AL, Aviram T, Wolf Y, Perl O, Devir A, Rosentraub
    S, Silver DH, Gold Zamir Y, Bronstein AM, Lara Lara M, Ben Nagi J, Alvarez A,
    Munné S. 2022. Embryologist agreement when assessing blastocyst implantation probability:
    Is data-driven prediction the solution to embryo assessment subjectivity? Human
    Reproduction. 37(10), 2275–2290.'
  mla: 'Fordham, Daniel E., et al. “Embryologist Agreement When Assessing Blastocyst
    Implantation Probability: Is Data-Driven Prediction the Solution to Embryo Assessment
    Subjectivity?” <i>Human Reproduction</i>, vol. 37, no. 10, Oxford University Press,
    2022, pp. 2275–90, doi:<a href="https://doi.org/10.1093/humrep/deac171">10.1093/humrep/deac171</a>.'
  short: D.E. Fordham, D. Rosentraub, A.L. Polsky, T. Aviram, Y. Wolf, O. Perl, A.
    Devir, S. Rosentraub, D.H. Silver, Y. Gold Zamir, A.M. Bronstein, M. Lara Lara,
    J. Ben Nagi, A. Alvarez, S. Munné, Human Reproduction 37 (2022) 2275–2290.
date_created: 2024-10-08T12:53:20Z
date_published: 2022-10-01T00:00:00Z
date_updated: 2024-10-14T09:54:40Z
day: '01'
doi: 10.1093/humrep/deac171
extern: '1'
intvolume: '        37'
issue: '10'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1093/humrep/deac171
month: '10'
oa: 1
oa_version: Published Version
page: 2275-2290
publication: Human Reproduction
publication_identifier:
  eissn:
  - 1460-2350
  issn:
  - 0268-1161
publication_status: published
publisher: Oxford University Press
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'Embryologist agreement when assessing blastocyst implantation probability:
  Is data-driven prediction the solution to embryo assessment subjectivity?'
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 37
year: '2022'
...
---
OA_type: closed access
_id: '18223'
abstract:
- lang: eng
  text: The term silent mutation is commonly used to describe (1) a change in the
    DNA sequence that does not result in an observable effect on the organism’s phenotype;
    and (2) a synonymous mutation where the nucleotide change leaves the translated
    amino acid sequence unchanged. When Christian Anfinsen showed that a folded and
    active protein could be denatured to lose structure and activity and then subsequently
    renatured to regain the same structure and activity it appeared that the native,
    thermodynamically stable, structure of a protein depends only on the amino acid
    sequence and solution conditions (Anfinsen and Haber 1961). This experiment suggested
    that, once translated, proteins carry no memory of the genetic sequence and led
    to one of the most erroneous assumptions in modern science; synonymous codons
    were long considered silent, a mutation of the type that has no effect on an organism’s
    phenotype.
article_processing_charge: No
author:
- first_name: Aviv A.
  full_name: Rosenberg, Aviv A.
  last_name: Rosenberg
- first_name: Alexander
  full_name: Bronstein, Alexander
  id: 58f3726e-7cba-11ef-ad8b-e6e8cb3904e6
  last_name: Bronstein
  orcid: 0000-0001-9699-8730
- first_name: Ailie
  full_name: Marx, Ailie
  last_name: Marx
citation:
  ama: 'Rosenberg AA, Bronstein AM, Marx A. Recording Silence – Accurate Annotation
    of the Genetic Sequence Is Required to Better Understand How Synonymous Coding
    Affects Protein Structure and Disease. In: Sauna ZE, Kimchi-Sarfaty C, eds. <i>Single
    Nucleotide Polymorphisms</i>. Cham: Springer Nature; 2022:37-47. doi:<a href="https://doi.org/10.1007/978-3-031-05616-1_3">10.1007/978-3-031-05616-1_3</a>'
  apa: 'Rosenberg, A. A., Bronstein, A. M., &#38; Marx, A. (2022). Recording Silence
    – Accurate Annotation of the Genetic Sequence Is Required to Better Understand
    How Synonymous Coding Affects Protein Structure and Disease. In Z. E. Sauna &#38;
    C. Kimchi-Sarfaty (Eds.), <i>Single Nucleotide Polymorphisms</i> (pp. 37–47).
    Cham: Springer Nature. <a href="https://doi.org/10.1007/978-3-031-05616-1_3">https://doi.org/10.1007/978-3-031-05616-1_3</a>'
  chicago: 'Rosenberg, Aviv A., Alex M. Bronstein, and Ailie Marx. “Recording Silence
    – Accurate Annotation of the Genetic Sequence Is Required to Better Understand
    How Synonymous Coding Affects Protein Structure and Disease.” In <i>Single Nucleotide
    Polymorphisms</i>, edited by Zuben E. Sauna and Chava Kimchi-Sarfaty, 37–47. Cham:
    Springer Nature, 2022. <a href="https://doi.org/10.1007/978-3-031-05616-1_3">https://doi.org/10.1007/978-3-031-05616-1_3</a>.'
  ieee: 'A. A. Rosenberg, A. M. Bronstein, and A. Marx, “Recording Silence – Accurate
    Annotation of the Genetic Sequence Is Required to Better Understand How Synonymous
    Coding Affects Protein Structure and Disease,” in <i>Single Nucleotide Polymorphisms</i>,
    Z. E. Sauna and C. Kimchi-Sarfaty, Eds. Cham: Springer Nature, 2022, pp. 37–47.'
  ista: 'Rosenberg AA, Bronstein AM, Marx A. 2022.Recording Silence – Accurate Annotation
    of the Genetic Sequence Is Required to Better Understand How Synonymous Coding
    Affects Protein Structure and Disease. In: Single Nucleotide Polymorphisms. ,
    37–47.'
  mla: Rosenberg, Aviv A., et al. “Recording Silence – Accurate Annotation of the
    Genetic Sequence Is Required to Better Understand How Synonymous Coding Affects
    Protein Structure and Disease.” <i>Single Nucleotide Polymorphisms</i>, edited
    by Zuben E. Sauna and Chava Kimchi-Sarfaty, Springer Nature, 2022, pp. 37–47,
    doi:<a href="https://doi.org/10.1007/978-3-031-05616-1_3">10.1007/978-3-031-05616-1_3</a>.
  short: A.A. Rosenberg, A.M. Bronstein, A. Marx, in:, Z.E. Sauna, C. Kimchi-Sarfaty
    (Eds.), Single Nucleotide Polymorphisms, Springer Nature, Cham, 2022, pp. 37–47.
date_created: 2024-10-08T12:53:44Z
date_published: 2022-08-10T00:00:00Z
date_updated: 2024-10-14T09:58:21Z
day: '10'
doi: 10.1007/978-3-031-05616-1_3
editor:
- first_name: Zuben E.
  full_name: Sauna, Zuben E.
  last_name: Sauna
- first_name: Chava
  full_name: Kimchi-Sarfaty, Chava
  last_name: Kimchi-Sarfaty
extern: '1'
language:
- iso: eng
month: '08'
oa_version: None
page: 37-47
place: Cham
publication: Single Nucleotide Polymorphisms
publication_identifier:
  eisbn:
  - '9783031056161'
  isbn:
  - '9783031056147'
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Recording Silence – Accurate Annotation of the Genetic Sequence Is Required
  to Better Understand How Synonymous Coding Affects Protein Structure and Disease
type: book_chapter
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2022'
...
---
OA_place: repository
_id: '18224'
abstract:
- lang: eng
  text: Learning from one or few visual examples is one of the key capabilities of
    humans since early infancy, but is still a significant challenge for modern AI
    systems. While considerable progress has been achieved in few-shot learning from
    a few image examples, much less attention has been given to the verbal descriptions
    that are usually provided to infants when they are presented with a new object.
    In this paper, we focus on the role of additional semantics that can significantly
    facilitate few-shot visual learning. Building upon recent advances in few-shot
    learning with additional semantic information, we demonstrate that further improvements
    are possible by combining multiple and richer semantics (category labels, attributes,
    and natural language descriptions). Using these ideas, we offer the community
    new results on the popular miniImageNet and CUB few-shot benchmarks, comparing
    favorably to the previous state-of-the-art results for both visual only and visual
    plus semantics-based approaches. We also performed an ablation study investigating
    the components and design choices of our approach. Code available on github.com/EliSchwartz/mutiple-semantics.
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Eli
  full_name: Schwartz, Eli
  last_name: Schwartz
- first_name: Leonid
  full_name: Karlinsky, Leonid
  last_name: Karlinsky
- first_name: Rogerio
  full_name: Feris, Rogerio
  last_name: Feris
- first_name: Raja
  full_name: Giryes, Raja
  last_name: Giryes
- first_name: Alexander
  full_name: Bronstein, Alexander
  id: 58f3726e-7cba-11ef-ad8b-e6e8cb3904e6
  last_name: Bronstein
  orcid: 0000-0001-9699-8730
citation:
  ama: Schwartz E, Karlinsky L, Feris R, Giryes R, Bronstein AM. Baby steps towards
    few-shot learning with multiple semantics. <i>Pattern Recognition Letters</i>.
    2022;160:142-147. doi:<a href="https://doi.org/10.1016/j.patrec.2022.06.012">10.1016/j.patrec.2022.06.012</a>
  apa: Schwartz, E., Karlinsky, L., Feris, R., Giryes, R., &#38; Bronstein, A. M.
    (2022). Baby steps towards few-shot learning with multiple semantics. <i>Pattern
    Recognition Letters</i>. Elsevier. <a href="https://doi.org/10.1016/j.patrec.2022.06.012">https://doi.org/10.1016/j.patrec.2022.06.012</a>
  chicago: Schwartz, Eli, Leonid Karlinsky, Rogerio Feris, Raja Giryes, and Alex M.
    Bronstein. “Baby Steps towards Few-Shot Learning with Multiple Semantics.” <i>Pattern
    Recognition Letters</i>. Elsevier, 2022. <a href="https://doi.org/10.1016/j.patrec.2022.06.012">https://doi.org/10.1016/j.patrec.2022.06.012</a>.
  ieee: E. Schwartz, L. Karlinsky, R. Feris, R. Giryes, and A. M. Bronstein, “Baby
    steps towards few-shot learning with multiple semantics,” <i>Pattern Recognition
    Letters</i>, vol. 160. Elsevier, pp. 142–147, 2022.
  ista: Schwartz E, Karlinsky L, Feris R, Giryes R, Bronstein AM. 2022. Baby steps
    towards few-shot learning with multiple semantics. Pattern Recognition Letters.
    160, 142–147.
  mla: Schwartz, Eli, et al. “Baby Steps towards Few-Shot Learning with Multiple Semantics.”
    <i>Pattern Recognition Letters</i>, vol. 160, Elsevier, 2022, pp. 142–47, doi:<a
    href="https://doi.org/10.1016/j.patrec.2022.06.012">10.1016/j.patrec.2022.06.012</a>.
  short: E. Schwartz, L. Karlinsky, R. Feris, R. Giryes, A.M. Bronstein, Pattern Recognition
    Letters 160 (2022) 142–147.
date_created: 2024-10-08T12:54:03Z
date_published: 2022-08-01T00:00:00Z
date_updated: 2024-10-14T10:58:20Z
day: '01'
doi: 10.1016/j.patrec.2022.06.012
extern: '1'
external_id:
  arxiv:
  - '1906.01905'
intvolume: '       160'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://arxiv.org/abs/1906.01905
month: '08'
oa: 1
oa_version: Preprint
page: 142-147
publication: Pattern Recognition Letters
publication_identifier:
  issn:
  - 0167-8655
publication_status: published
publisher: Elsevier
quality_controlled: '1'
scopus_import: '1'
status: public
title: Baby steps towards few-shot learning with multiple semantics
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 160
year: '2022'
...
