Evidence map›Paper›PMID 28964624›Full record

ReviewTrends in biochemical sciences2017

Sharing the SAGA.

Dominique Helmlinger, László Tora

Open access · greenAbstract readReview
In one paragraph

Review in Trends in biochemical sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 111 papers.

0numbers the graph read from it
0cells of the map it votes in
111citing papers in PubMed
7.9field-weighted citation impact, top 2% 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

111 citing papers in PubMed, 174 citations in OpenAlex.

  1. Review
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  13. Peculiarities of theInternational journal of molecular sciences · 2025
    Article
  14. Review
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51 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 1 institution in 1 country.

Dominique HelmlingerCRBM, CNRS, Université de Montpellier, 34293 Montpellier, France. Electronic address: dhelmlinger@crbm.cnrs.fr.
László ToraInstitut de Génétique et de Biologie Moléculaire et Cellulaire, 67404 Illkirch, France; Centre National de la Recherche Scientifique, UMR7104, 67404 Illkirch, France; Institut National de la Santé et de la Recherche Médicale, U964, 67404 Illkirch, France; Université de Strasbourg, 67404 Illkirch, France. Electronic address: laszlo@igbmc.fr.
Centre National de la Recherche Scientifique · FR

Funding

European Research Council 340551
6 · The paper itself

Abstract

Transcription initiation is a major regulatory step in eukaryotic gene expression. Co-activators establish transcriptionally competent promoter architectures and chromatin signatures to allow the formation of the pre-initiation complex (PIC), comprising RNA polymerase II (Pol II) and general transcription factors (GTFs). Many GTFs and co-activators are multisubunit complexes, in which individual components are organized into functional modules carrying specific activities. Recent advances in affinity purification and mass spectrometry analyses have revealed that these complexes often share functional modules, rather than containing unique components. This observation appears remarkably prevalent for chromatin-modifying and remodeling complexes. Here, we use the modular organization of the evolutionary conserved Spt-Ada-Gcn5 acetyltransferase (SAGA) complex as a paradigm to illustrate how co-activators share and combine a relatively limited set of functional tools.

Indexed as

Saccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsTrans-ActivatorsSaccharomyces cerevisiae ProteinsSAGA complex, S cerevisiaeTrans-Activatorsassemblychromatinfunctional modulemultisubunit complexprotein–protein interactiontranscription

Identifiers

PMID28964624
PMCPMC5660625
OpenAlexW2757260578

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.