---
_id: '6844'
abstract:
- lang: eng
  text: Studying the progression of the proliferative and differentiative patterns
    of neural stem cells at the individual cell level is crucial to the understanding
    of cortex development and how the disruption of such patterns can lead to malformations
    and neurodevelopmental diseases. However, our understanding of the precise lineage
    progression programme at single-cell resolution is still incomplete due to the
    technical variations in lineage- tracing approaches. One of the key challenges
    involves developing a robust theoretical framework in which we can integrate experimental
    observations and introduce correction factors to obtain a reliable and representative
    description of the temporal modulation of proliferation and differentiation. In
    order to obtain more conclusive insights, we carry out virtual clonal analysis
    using mathematical modelling and compare our results against experimental data.
    Using a dataset obtained with Mosaic Analysis with Double Markers, we illustrate
    how the theoretical description can be exploited to interpret and reconcile the
    disparity between virtual and experimental results.
article_processing_charge: No
article_type: original
author:
- first_name: Noemi
  full_name: Picco, Noemi
  last_name: Picco
- first_name: Simon
  full_name: Hippenmeyer, Simon
  id: 37B36620-F248-11E8-B48F-1D18A9856A87
  last_name: Hippenmeyer
  orcid: 0000-0003-2279-1061
- first_name: Julio
  full_name: Rodarte, Julio
  id: 3C70A038-F248-11E8-B48F-1D18A9856A87
  last_name: Rodarte
- first_name: Carmen
  full_name: Streicher, Carmen
  id: 36BCB99C-F248-11E8-B48F-1D18A9856A87
  last_name: Streicher
- first_name: Zoltán
  full_name: Molnár, Zoltán
  last_name: Molnár
- first_name: Philip K.
  full_name: Maini, Philip K.
  last_name: Maini
- first_name: Thomas E.
  full_name: Woolley, Thomas E.
  last_name: Woolley
citation:
  ama: Picco N, Hippenmeyer S, Rodarte J, et al. A mathematical insight into cell
    labelling experiments for clonal analysis. <i>Journal of Anatomy</i>. 2019;235(3):686-696.
    doi:<a href="https://doi.org/10.1111/joa.13001">10.1111/joa.13001</a>
  apa: Picco, N., Hippenmeyer, S., Rodarte, J., Streicher, C., Molnár, Z., Maini,
    P. K., &#38; Woolley, T. E. (2019). A mathematical insight into cell labelling
    experiments for clonal analysis. <i>Journal of Anatomy</i>. Wiley. <a href="https://doi.org/10.1111/joa.13001">https://doi.org/10.1111/joa.13001</a>
  chicago: Picco, Noemi, Simon Hippenmeyer, Julio Rodarte, Carmen Streicher, Zoltán
    Molnár, Philip K. Maini, and Thomas E. Woolley. “A Mathematical Insight into Cell
    Labelling Experiments for Clonal Analysis.” <i>Journal of Anatomy</i>. Wiley,
    2019. <a href="https://doi.org/10.1111/joa.13001">https://doi.org/10.1111/joa.13001</a>.
  ieee: N. Picco <i>et al.</i>, “A mathematical insight into cell labelling experiments
    for clonal analysis,” <i>Journal of Anatomy</i>, vol. 235, no. 3. Wiley, pp. 686–696,
    2019.
  ista: Picco N, Hippenmeyer S, Rodarte J, Streicher C, Molnár Z, Maini PK, Woolley
    TE. 2019. A mathematical insight into cell labelling experiments for clonal analysis.
    Journal of Anatomy. 235(3), 686–696.
  mla: Picco, Noemi, et al. “A Mathematical Insight into Cell Labelling Experiments
    for Clonal Analysis.” <i>Journal of Anatomy</i>, vol. 235, no. 3, Wiley, 2019,
    pp. 686–96, doi:<a href="https://doi.org/10.1111/joa.13001">10.1111/joa.13001</a>.
  short: N. Picco, S. Hippenmeyer, J. Rodarte, C. Streicher, Z. Molnár, P.K. Maini,
    T.E. Woolley, Journal of Anatomy 235 (2019) 686–696.
date_created: 2019-09-02T11:57:28Z
date_published: 2019-09-01T00:00:00Z
date_updated: 2025-04-14T07:43:05Z
day: '01'
ddc:
- '570'
department:
- _id: SiHi
doi: 10.1111/joa.13001
ec_funded: 1
external_id:
  isi:
  - '000482426800017'
file:
- access_level: open_access
  checksum: 160f960844b204057f20896e0e1f8ee7
  content_type: application/pdf
  creator: dernst
  date_created: 2019-09-02T12:05:18Z
  date_updated: 2020-07-14T12:47:42Z
  file_id: '6845'
  file_name: 2019_JournalAnatomy_Picco.pdf
  file_size: 1192994
  relation: main_file
file_date_updated: 2020-07-14T12:47:42Z
has_accepted_license: '1'
intvolume: '       235'
isi: 1
issue: '3'
language:
- iso: eng
license: https://creativecommons.org/licenses/by-nc/4.0/
month: '09'
oa: 1
oa_version: Published Version
page: 686-696
project:
- _id: 260018B0-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '725780'
  name: Principles of Neural Stem Cell Lineage Progression in Cerebral Cortex Development
publication: Journal of Anatomy
publication_identifier:
  eissn:
  - 1469-7580
  issn:
  - 0021-8782
publication_status: published
publisher: Wiley
quality_controlled: '1'
scopus_import: '1'
status: public
title: A mathematical insight into cell labelling experiments for clonal analysis
tmp:
  image: /images/cc_by_nc.png
  legal_code_url: https://creativecommons.org/licenses/by-nc/4.0/legalcode
  name: Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
  short: CC BY-NC (4.0)
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 235
year: '2019'
...
