Evidence map›Paper›PMID 29025894›Full record

ArticleGenome research2017

Nascent RNA sequencing reveals a dynamic global transcriptional response at genes and enhancers to the natural medicinal compound celastrol.

Noah Dukler, Gregory T Booth, Yi-Fei Huang, Nathaniel Tippens, Colin T Waters, Charles G Danko, John T Lis, Adam Siepel

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed, 49 citations in OpenAlex.

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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

8 authors at 3 institutions in 1 country.

Noah DuklerSimons Center for Quantitative Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724, USA.ORCID 0000-0002-8739-8052
Gregory T BoothDepartment of Molecular Biology and Genetics, Cornell University, Ithaca, New York 14850, USA.
Yi-Fei HuangSimons Center for Quantitative Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724, USA.
Nathaniel TippensTri-Institutional Training Program in Computational Biology and Medicine, New York, New York 10065, USA.
Colin T WatersProgram in Biological and Biomedical Sciences, Harvard University, Cambridge, Massachusetts 02138, USA.ORCID 0000-0002-3096-0833
Charles G DankoBaker Institute for Animal Health, Cornell University, Ithaca, New York 14850, USA.
John T LisDepartment of Molecular Biology and Genetics, Cornell University, Ithaca, New York 14850, USA.
Adam SiepelSimons Center for Quantitative Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724, USA.ORCID 0000-0002-3557-7219
Cornell University · USCold Spring Harbor Laboratory · USHarvard University · US

Funding

Single-Cell Biology Shared ResourceP30CA045508 · NCI · COLD SPRING HARBOR LABORATORY · PI John Edward Moses · 1987 to 2026
$118.9M
Mapping RNA polymerase in tissue samples with ChRO-seq.R01HG009309 · NHGRI · CORNELL UNIVERSITY · PI DANKO, CHARLES GRAHE · 2017 to 2021
$1.9M
Computational methods for human genomic data integration: demography, selection,R01GM102192 · NIGMS · CORNELL UNIVERSITY · PI SIEPEL, ADAM CHARLES · 2013 to 2017
$1.7M
Factor-general characterization of dynamic transcriptional stress responsesR01HG007070 · NHGRI · CORNELL UNIVERSITY · PI LIS, JOHN T, SIEPEL, ADAM CHARLES · 2013 to 2015
$1.0M
NCI NIH HHS P30 CA045508NHGRI NIH HHS R01 HG007070NHGRI NIH HHS R01 HG009309NIGMS NIH HHS R01 GM102192
6 · The paper itself

Abstract

Most studies of responses to transcriptional stimuli measure changes in cellular mRNA concentrations. By sequencing nascent RNA instead, it is possible to detect changes in transcription in minutes rather than hours and thereby distinguish primary from secondary responses to regulatory signals. Here, we describe the use of PRO-seq to characterize the immediate transcriptional response in human cells to celastrol, a compound derived from traditional Chinese medicine that has potent anti-inflammatory, tumor-inhibitory, and obesity-controlling effects. Celastrol is known to elicit a cellular stress response resembling the response to heat shock, but the transcriptional basis of this response remains unclear. Our analysis of PRO-seq data for K562 cells reveals dramatic transcriptional effects soon after celastrol treatment at a broad collection of both coding and noncoding transcription units. This transcriptional response occurred in two major waves, one within 10 min, and a second 40-60 min after treatment. Transcriptional activity was generally repressed by celastrol, but one distinct group of genes, enriched for roles in the heat shock response, displayed strong activation. Using a regression approach, we identified key transcription factors that appear to drive these transcriptional responses, including members of the E2F and RFX families. We also found sequence-based evidence that particular transcription factors drive the activation of enhancers. We observed increased polymerase pausing at both genes and enhancers, suggesting that pause release may be widely inhibited during the celastrol response. Our study demonstrates that a careful analysis of PRO-seq time-course data can disentangle key aspects of a complex transcriptional response, and it provides new insights into the activity of a powerful pharmacological agent.

Indexed as

E2F Transcription FactorsEnhancer Elements, GeneticGene Expression ProfilingGene Expression RegulationHeat-Shock ResponseHumansK562 CellsPentacyclic TriterpenesRegulatory Factor X Transcription FactorsSequence Analysis, RNATime FactorsTriterpenescelastrolE2F Transcription FactorsPentacyclic TriterpenesRegulatory Factor X Transcription FactorsTriterpenes

Identifiers

PMID29025894
PMCPMC5668940
OpenAlexW2952444044

What OpenQuestion holds

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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.