Evidence map›Paper›PMID 37609355›Full record

ArticlebioRxiv : the preprint server for biology2023

Single-molecule analysis of transcription activation: dynamics of SAGA co-activator recruitment.

Jongcheol Jeon, Larry J Friedman, Hogyu David Seo, Augustus Adeleke, Bria Graham, Emily Patteson, Jeff Gelles, Stephen Buratowski

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Larry J Friedman
Bria Graham
Emily Patteson
Stephen BuratowskiORCID 0000-0003-0440-3926
EpiCypher (United States) · USHarvard University · USBrandeis University · US

Funding

Single-molecule analysis of eukaryotic transcription activationR01CA246500 · NCI · HARVARD MEDICAL SCHOOL · PI Stephen Buratowski, JEFF GELLES · 2020 to 2026
$3.2M
NCI NIH HHS R01 CA246500
6 · The paper itself

Abstract

Transcription activators are said to stimulate gene expression by "recruiting" coactivators to promoters, yet this term fits several different kinetic models. To directly analyze dynamics of activator-coactivator interactions, single-molecule microscopy was used to image promoter DNA, a transcription activator, and the Spt-Ada-Gcn5 Acetyltransferase (SAGA) complex within nuclear extract. SAGA readily, but transiently, binds nucleosome-free DNA without activator, while chromatin template association occurs nearly exclusively when activator is present. On both templates, activator increases SAGA association rates by up to an order of magnitude, and dramatically extends its dwell times. These effects reflect direct interactions with the transactivation domain, as VP16 or Rap1 activation domains produce different SAGA dynamics. Despite multiple bromodomains, acetyl-CoA or histone H3/H4 tail acetylation only modestly improves SAGA binding. Unexpectedly, histone acetylation more strongly affects activator residence. Our studies thus reveal two modes of SAGA interaction with the genome: a short-lived activator-independent interaction with nucleosome-free DNA, and a state tethered to promoter-bound transcription activators that can last up to several minutes.

Identifiers

PMID37609355
PMCPMC10441308
OpenAlexW4385667160

What Socratic holds

Textmetadata
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 Socratic graph.