Evidence map›Paper›PMID 36693380›Full record

ReviewMolecular cell2023

Deciphering the multi-scale, quantitative cis-regulatory code.

Seungsoo Kim, Joanna Wysocka

Open access · greenAbstract readReview
In one paragraph

Review in Molecular cell, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 191 papers.

0numbers the graph read from it
0cells of the map it votes in
191citing papers in PubMed
43.9field-weighted citation impact, top 1% of its field
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

191 citing papers in PubMed, 286 citations in OpenAlex.

  1. Article
  2. UnlockingNAR genomics and bioinformatics · 2026
    Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article

131 more citing papers are in PubMed but not listed here.

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

2 authors at 2 institutions in 1 country.

Seungsoo KimHoward Hughes Medical Institute, Stanford University School of Medicine, Stanford, CA 94305, USA; Department of Chemical and Systems Biology, Stanford University School of Medicine, Stanford, CA 94305, USA; Department of Developmental Biology, Stanford University School of Medicine, Stanford, CA 94305, USA; Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA.
Joanna WysockaHoward Hughes Medical Institute, Stanford University School of Medicine, Stanford, CA 94305, USA; Department of Chemical and Systems Biology, Stanford University School of Medicine, Stanford, CA 94305, USA; Department of Developmental Biology, Stanford University School of Medicine, Stanford, CA 94305, USA; Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA. Electronic address: wysocka@stanford.edu.
Howard Hughes Medical Institute · USStanford University · US

Funding

Uncovering fundamentals of gene regulation by enhancersR35GM131757 · NIGMS · STANFORD UNIVERSITY · PI Joanna Wysocka · 2019 to 2026
$3.1M
Howard Hughes Medical InstituteNIGMS NIH HHS R35 GM131757
6 · The paper itself

Abstract

Uncovering the cis-regulatory code that governs when and how much each gene is transcribed in a given genome and cellular state remains a central goal of biology. Here, we discuss major layers of regulation that influence how transcriptional outputs are encoded by DNA sequence and cellular context. We first discuss how transcription factors bind specific DNA sequences in a dosage-dependent and cooperative manner and then proceed to the cofactors that facilitate transcription factor function and mediate the activity of modular cis-regulatory elements such as enhancers, silencers, and promoters. We then consider the complex and poorly understood interplay of these diverse elements within regulatory landscapes and its relationships with chromatin states and nuclear organization. We propose that a mechanistically informed, quantitative model of transcriptional regulation that integrates these multiple regulatory layers will be the key to ultimately cracking the cis-regulatory code.

Indexed as

Enhancer Elements, GeneticTranscription FactorsBase SequenceChromatinGene Expression RegulationPromoter Regions, GeneticChromatinTranscription Factorsactivation domainchromatincis-regulatory codecis-regulatory elementcoactivatorcofactorcorepressorenhancergene regulationinsulatornucleosomepioneer factorpromoterregulatory domainrepression domainRNA polymerase IIsilencertopologically associating domaintranscriptiontranscription factor

Identifiers

PMID36693380
PMCPMC9898153
OpenAlexW4318027593

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.