---
res:
  bibo_abstract:
  - Gene expression levels are influenced by multiple coexisting molecular mechanisms.
    Some of these interactions, such as those of transcription factors and promoters
    have been studied extensively. However, predicting phenotypes of gene regulatory
    networks remains a major challenge. Here, we use a well-defined synthetic gene
    regulatory network to study how network phenotypes depend on local genetic context,
    i.e. the genetic neighborhood of a transcription factor and its relative position.
    We show that one gene regulatory network with fixed topology can display not only
    quantitatively but also qualitatively different phenotypes, depending solely on
    the local genetic context of its components. Our results demonstrate that changes
    in local genetic context can place a single transcriptional unit within two separate
    regulons without the need for complex regulatory sequences. We propose that relative
    order of individual transcriptional units, with its potential for combinatorial
    complexity, plays an important role in shaping phenotypes of gene regulatory networks.@eng
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Anna A
      foaf_name: Nagy-Staron, Anna A
      foaf_surname: Nagy-Staron
      foaf_workInfoHomepage: http://www.librecat.org/personId=3ABC5BA6-F248-11E8-B48F-1D18A9856A87
    orcid: 0000-0002-1391-8377
  bibo_doi: 10.15479/AT:ISTA:8951
  dct_date: 2020^xs_gYear
  dct_publisher: Institute of Science and Technology Austria@
  dct_subject:
  - Gene regulatory networks
  - Gene expression
  - Escherichia coli
  - Synthetic Biology
  dct_title: Sequences of gene regulatory network permutations for the article "Local
    genetic context shapes the function of a gene regulatory network"@
...