Evidence map›Paper›PMID 26843070›Full record

ArticleGenome research2016

Models of human core transcriptional regulatory circuitries.

Violaine Saint-André, Alexander J Federation, Charles Y Lin, Brian J Abraham, Jessica Reddy, Tong Ihn Lee, James E Bradner, Richard A Young

Abstract read
In one paragraph

Article in Genome research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 212 papers.

0numbers the graph read from it
0cells of the map it votes in
212citing 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

212 citing papers in PubMed.

  1. PROTACs in cancer therapy: targeted degradation of GPX4, PARP and epigenetic regulators.Journal of enzyme inhibition and medicinal chemistry · 2026
    Review
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152 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

8 authors.

Violaine Saint-AndréWhitehead Institute for Biomedical Research, Cambridge, Massachusetts 02142, USA;
Alexander J FederationDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts 02215, USA;
Charles Y LinDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts 02215, USA;
Brian J AbrahamWhitehead Institute for Biomedical Research, Cambridge, Massachusetts 02142, USA;
Jessica ReddyWhitehead Institute for Biomedical Research, Cambridge, Massachusetts 02142, USA; Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA;
Tong Ihn LeeWhitehead Institute for Biomedical Research, Cambridge, Massachusetts 02142, USA;
James E BradnerDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts 02215, USA; Department of Medicine, Harvard Medical School, Boston, Massachusetts 02115, USA.
Richard A YoungWhitehead Institute for Biomedical Research, Cambridge, Massachusetts 02142, USA; Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA;

Funding

Transcriptional Regulatory Networks in Living CellsR01HG002668 · NHGRI · WHITEHEAD INSTITUTE FOR BIOMEDICAL RES · PI YOUNG, RICHARD · 2003 to 2016
$17.9M
NHGRI NIH HHS HG002668NHGRI NIH HHS R01 HG002668
6 · The paper itself

Abstract

A small set of core transcription factors (TFs) dominates control of the gene expression program in embryonic stem cells and other well-studied cellular models. These core TFs collectively regulate their own gene expression, thus forming an interconnected auto-regulatory loop that can be considered the core transcriptional regulatory circuitry (CRC) for that cell type. There is limited knowledge of core TFs, and thus models of core regulatory circuitry, for most cell types. We recently discovered that genes encoding known core TFs forming CRCs are driven by super-enhancers, which provides an opportunity to systematically predict CRCs in poorly studied cell types through super-enhancer mapping. Here, we use super-enhancer maps to generate CRC models for 75 human cell and tissue types. These core circuitry models should prove valuable for further investigating cell-type-specific transcriptional regulation in healthy and diseased cells.

Indexed as

Gene Expression RegulationGene Regulatory NetworksTranscription, GeneticBinding SitesCell LineHuman Embryonic Stem CellsHumansOrgan SpecificityProtein BindingTranscription FactorsTranscription Factors

Identifiers

PMID26843070
PMCPMC4772020

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Registered trials

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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.