Evidence map›Paper›PMID 28041762›Full record

ArticleCell systems2017

Combinatorial Gene Regulation through Kinetic Control of the Transcription Cycle.

Clarissa Scholes, Angela H DePace, Álvaro Sánchez

Abstract read
In one paragraph

Article in Cell systems, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

57 citing papers in PubMed.

  1. Article
  2. Review
  3. Invariant nonequilibrium dynamics in gene regulation optimize information flow.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Science (New York, N.Y.) · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. bioRxiv : the preprint server for biology · 2024
    Article
  15. Stochastic Modeling of Biophysical Responses to Perturbation.bioRxiv : the preprint server for biology · 2024
    Article
  16. Article
  17. Article
  18. Article
  19. InterpretingNature machine intelligence · 2024
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Clarissa ScholesDepartment of Systems Biology, Harvard Medical School, Boston, MA 02115, USA; Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA 02138, USA.
Angela H DePaceDepartment of Systems Biology, Harvard Medical School, Boston, MA 02115, USA. Electronic address: angela_depace@hms.harvard.edu.
Álvaro SánchezThe Rowland Institute at Harvard, Harvard University, Cambridge, MA 02142, USA. Electronic address: alvaro.sanchez@yale.edu.

Funding

Multi-scale modeling of genetic variation in a developmental networkU01GM103804 · NIGMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI DEPACE, ANGELA H, MARJORAM, PAUL · 2013 to 2016
$2.0M
NIGMS NIH HHS U01 GM103804
6 · The paper itself

Abstract

Cells decide when, where, and to what level to express their genes by "computing" information from transcription factors (TFs) binding to regulatory DNA. How is the information contained in multiple TF-binding sites integrated to dictate the rate of transcription? The dominant conceptual and quantitative model is that TFs combinatorially recruit one another and RNA polymerase to the promoter by direct physical interactions. Here, we develop a quantitative framework to explore kinetic control, an alternative model in which combinatorial gene regulation can result from TFs working on different kinetic steps of the transcription cycle. Kinetic control can generate a wide range of analog and Boolean computations without requiring the input TFs to be simultaneously bound to regulatory DNA. We propose experiments that will illuminate the role of kinetic control in transcription and discuss implications for deciphering the cis-regulatory "code."

Indexed as

AnimalsBinding SitesComputer SimulationDNAGene Expression RegulationGene Regulatory NetworksHumansKineticsPromoter Regions, GeneticProtein BindingTranscription FactorsDNATranscription FactorsBoolean computationscombinatorial controlfrequency modulationkineticsquantitative modelingtranscription

Identifiers

PMID28041762
PMCPMC5469051

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.