Evidence map›Paper›PMID 33621520›Full record

ReviewJournal of molecular biology2021

What do Transcription Factors Interact With?

Haining Chen, B Franklin Pugh

Open access · greenAbstract readReview
In one paragraph

Review in Journal of molecular biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
3.6field-weighted citation impact, top 6% 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

34 citing papers in PubMed, 63 citations in OpenAlex.

  1. Review
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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 1 institution in 1 country.

Haining ChenDepartment of Molecular Biology and Genetics, Cornell University, Ithaca, NY 14853, USA.
B Franklin PughDepartment of Molecular Biology and Genetics, Cornell University, Ithaca, NY 14853, USA. Electronic address: fp265@cornell.edu.
Cornell University · US

Funding

REGULATION OF TBP DIMERSR01GM059055 · NIGMS · PENNSYLVANIA STATE UNIVERSITY-UNIV PARK · PI PUGH, B FRANKLIN · 2000 to 2020
$6.6M
Promoter Regulation in Response to Environmental StressR01ES013768 · NIEHS · PENNSYLVANIA STATE UNIVERSITY, THE · PI PUGH, B FRANKLIN · 2007 to 2019
$4.9M
NIEHS NIH HHS R01 ES013768NIGMS NIH HHS R01 GM059055
6 · The paper itself

Abstract

Although we have made significant progress, we still possess a limited understanding of how genomic and epigenomic information directs gene expression programs through sequence-specific transcription factors (TFs). Extensive research has settled on three general classes of TF targets in metazoans: promoter accessibility via chromatin regulation (e.g., SAGA), assembly of the general transcription factors on promoter DNA (e.g., TFIID), and recruitment of RNA polymerase (Pol) II (e.g., Mediator) to establish a transcription pre-initiation complex (PIC). Here we discuss TFs and their targets. We also place this in the context of our current work with Saccharomyces (yeast), where we find that promoters typically lack an architecture that supports TF function. Moreover, yeast promoters that support TF binding also display interactions with cofactors like SAGA and Mediator, but not TFIID. It is unknown to what extent all genes in metazoans require TFs and their cofactors.

Indexed as

AnimalsChromatinEnhancer Elements, GeneticGene Expression RegulationHumansMultiprotein ComplexesPromoter Regions, GeneticRNA Polymerase IITranscription FactorsTranscription Factor TFIIDTranscription, GeneticChromatinMultiprotein ComplexesRNA Polymerase IITranscription FactorsTranscription Factor TFIIDenhancersgene regulation modelspromoterstranscription mechanisms

Identifiers

PMID33621520
PMCPMC8184585
OpenAlexW3132468142

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.