Evidence map›Paper›PMID 33893157›Full record

ArticleGenome research2021

Linking the dynamics of chromatin occupancy and transcription with predictive models.

Trung Q Tran, Heather K MacAlpine, Vinay Tripuraneni, Sneha Mitra, David M MacAlpine, Alexander J Hartemink

Open access · greenAbstract read
In one paragraph

Article in Genome research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed, 11 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

6 authors at 2 institutions in 1 country.

Trung Q TranDepartment of Computer Science, Duke University, Durham, North Carolina 27708, USA.ORCID 0000-0003-3941-1950
Heather K MacAlpineDepartment of Pharmacology and Cancer Biology, Duke University Medical Center, Durham, North Carolina 27710, USA.
Vinay TripuraneniDepartment of Pharmacology and Cancer Biology, Duke University Medical Center, Durham, North Carolina 27710, USA.
Sneha MitraDepartment of Computer Science, Duke University, Durham, North Carolina 27708, USA.
David M MacAlpineDepartment of Pharmacology and Cancer Biology, Duke University Medical Center, Durham, North Carolina 27710, USA.
Alexander J HarteminkDepartment of Computer Science, Duke University, Durham, North Carolina 27708, USA.ORCID 0000-0002-1292-2606
Duke University · USDuke Medical Center · US

Funding

Chromatin-mediated mechanisms of genome integrityR35GM127062 · NIGMS · DUKE UNIVERSITY · PI David M MacAlpine · 2018 to 2026
$3.7M
Methods to Elucidate the Dynamics of Transcriptional Regulation and ChromatinR35GM141795 · NIGMS · DUKE UNIVERSITY · PI HARTEMINK, ALEXANDER J · 2021 to 2025
$2.1M
Exploring the Role of Dynamic Chromatin Occupancy in Transcriptional RegulationR01GM118551 · NIGMS · DUKE UNIVERSITY · PI HARTEMINK, ALEXANDER J · 2016 to 2019
$1.6M
NIGMS NIH HHS R01 GM118551NIGMS NIH HHS R35 GM127062NIGMS NIH HHS R35 GM141795
6 · The paper itself

Abstract

Though the sequence of the genome within each eukaryotic cell is essentially fixed, it exists within a complex and changing chromatin state. This state is determined, in part, by the dynamic binding of proteins to the DNA. These proteins-including histones, transcription factors (TFs), and polymerases-interact with one another, the genome, and other molecules to allow the chromatin to adopt one of exceedingly many possible configurations. Understanding how changing chromatin configurations associate with transcription remains a fundamental research problem. We sought to characterize at high spatiotemporal resolution the dynamic interplay between transcription and chromatin in response to cadmium stress. Whereas gene regulatory responses to environmental stress in yeast have been studied, how the chromatin state changes and how those changes connect to gene regulation remain unexplored. By combining MNase-seq and RNA-seq data, we found chromatin signatures of transcriptional activation and repression involving both nucleosomal and TF-sized DNA-binding factors. Using these signatures, we identified associations between chromatin dynamics and transcriptional regulation, not only for known cadmium response genes, but across the entire genome, including antisense transcripts. Those associations allowed us to develop generalizable models that predict dynamic transcriptional responses on the basis of dynamic chromatin signatures.

Indexed as

ChromatinNucleosomesDNAHistonesTranscription FactorsChromatinDNAHistonesNucleosomesTranscription Factors

Identifiers

PMID33893157
PMCPMC8168580
OpenAlexW3154384473

What OpenQuestion holds

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LicenceCC BY-NC
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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.