Evidence map›Paper›PMID 29153839›Full record

ArticleCell systems2017

Asymmetry between Activation and Deactivation during a Transcriptional Pulse.

Lee S S Dunham, Hiroshi Momiji, Claire V Harper, Polly J Downton, Kirsty Hey, Anne McNamara, Karen Featherstone, David G Spiller, David A Rand, Bärbel Finkenstädt and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Cell systems, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

5 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Nonequilibrium models of optimal enhancer function.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  4. Article
  5. Article
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

12 authors at 3 institutions in 1 country.

Lee S S DunhamDivision of Endocrinology, Diabetes and Gastroenterology, School of Medical Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, AV Hill Building, Manchester M13 9PT, UK.
Hiroshi MomijiWarwick Systems Biology Centre, University of Warwick, Coventry CV4, 7AL, UK.
Claire V HarperDivision of Cellular and Molecular Function, School of Biological Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Manchester M13 9PT, UK.
Polly J DowntonDivision of Cellular and Molecular Function, School of Biological Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Manchester M13 9PT, UK.
Kirsty HeyDepartment of Statistics, University of Warwick, Coventry CV4 7AL, UK.
Anne McNamaraDivision of Cellular and Molecular Function, School of Biological Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Manchester M13 9PT, UK.
Karen FeatherstoneDivision of Endocrinology, Diabetes and Gastroenterology, School of Medical Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, AV Hill Building, Manchester M13 9PT, UK.
David G SpillerDivision of Cellular and Molecular Function, School of Biological Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Manchester M13 9PT, UK.
David A RandWarwick Systems Biology Centre, University of Warwick, Coventry CV4, 7AL, UK.
Bärbel FinkenstädtDepartment of Statistics, University of Warwick, Coventry CV4 7AL, UK. Electronic address: barbel.finkenstadt@warwick.ac.uk.
Michael R H WhiteDivision of Cellular and Molecular Function, School of Biological Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Manchester M13 9PT, UK. Electronic address: mike.white@manchester.ac.uk.
Julian R E DavisDivision of Endocrinology, Diabetes and Gastroenterology, School of Medical Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, AV Hill Building, Manchester M13 9PT, UK. Electronic address: julian.davis@manchester.ac.uk.
University of Manchester · GBUniversity of Warwick · GBManchester Academic Health Science Centre · GB

Funding

Biotechnology and Biological Sciences Research Council BB/F005814/1Biotechnology and Biological Sciences Research Council BB/F01760X/1Biotechnology and Biological Sciences Research Council BB/K003097/1Medical Research Council MR/K015885/1Medical Research Council MR/M013170/1Wellcome TrustWellcome Trust 091688
6 · The paper itself

Abstract

Transcription in eukaryotic cells occurs in gene-specific bursts or pulses of activity. Recent studies identified a spectrum of transcriptionally active "on-states," interspersed with periods of inactivity, but these "off-states" and the process of transcriptional deactivation are poorly understood. To examine what occurs during deactivation, we investigate the dynamics of switching between variable rates. We measured live single-cell expression of luciferase reporters from human growth hormone or human prolactin promoters in a pituitary cell line. Subsequently, we applied a statistical variable-rate model of transcription, validated by single-molecule FISH, to estimate switching between transcriptional rates. Under the assumption that transcription can switch to any rate at any time, we found that transcriptional activation occurs predominantly as a single switch, whereas deactivation occurs with graded, stepwise decreases in transcription rate. Experimentally altering cAMP signalling with forskolin or chromatin remodelling with histone deacetylase inhibitor modifies the duration of defined transcriptional states. Our findings reveal transcriptional activation and deactivation as mechanistically independent, asymmetrical processes.

Indexed as

Models, TheoreticalTranscription, GeneticAnimalsCell LineCyclic AMPFemaleGenes, ReporterHistone DeacetylasesHuman Growth HormoneHumansLuciferasesPituitary GlandProlactinPromoter Regions, GeneticRatsSingle-Cell AnalysisCyclic AMPHistone DeacetylasesHuman Growth HormoneLuciferasesProlactingene transcriptiongrowth hormonemodelingpituitaryprolactin

Identifiers

PMID29153839
PMCPMC5747351
OpenAlexW2768753019

What Socratic holds

Textmetadata
LicenceCC BY
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.