---
res:
  bibo_abstract:
  - Regulatory conflicts occur when two signals that individually trigger opposite
    cellular responses are present simultaneously. Here, we investigate regulatory
    conflicts in the bacterial response to antibiotic combinations. We use an Escherichia
    coli promoter-GFP library to study the transcriptional response of many promoters
    to either additive or antagonistic drug pairs at fine two-dimensional (2D) resolution
    of drug concentration. Surprisingly, we find that this data set can be characterized
    as a linear sum of only two principal components. Component one, accounting for
    over 70% of the response, represents the response to growth inhibition by the
    drugs. Component two describes how regulatory conflicts are resolved. For the
    additive drug pair, conflicts are resolved by linearly interpolating the single
    drug responses, while for the antagonistic drug pair, the growth-limiting drug
    dominates the response. Importantly, for a given drug pair, the same conflict
    resolution strategy applies to almost all genes. These results provide a recipe
    for predicting gene expression responses to antibiotic combinations.@eng
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Mark Tobias
      foaf_name: Bollenbach, Mark Tobias
      foaf_surname: Bollenbach
      foaf_workInfoHomepage: http://www.librecat.org/personId=3E6DB97A-F248-11E8-B48F-1D18A9856A87
    orcid: 0000-0003-4398-476X
  - foaf_Person:
      foaf_givenName: Roy
      foaf_name: Kishony, Roy
      foaf_surname: Kishony
  bibo_doi: 10.1016/j.molcel.2011.04.016
  bibo_issue: '4'
  bibo_volume: 42
  dct_date: 2011^xs_gYear
  dct_identifier:
  - UT:000291113800005
  dct_language: eng
  dct_publisher: Cell Press@
  dct_title: Resolution of gene regulatory conflicts caused by combinations of antibiotics@
...