Evidence map›Paper›PMID 34446075›Full record

ArticleGenome biology2021

NucHMM: a method for quantitative modeling of nucleosome organization identifying functional nucleosome states distinctly associated with splicing potentiality.

Kun Fang, Tianbao Li, Yufei Huang, Victor X Jin

Abstract read
In one paragraph

Article in Genome biology, 2021. 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
–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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Mapping nucleosome and chromatin architectures: A survey of computational methods.Computational and structural biotechnology journal · 2022
    Review
  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

4 authors.

Kun FangDepartment of Molecular Medicine, UTHSA-UTSA Joint Biomedical Engineering Program, San Antonio, TX, 78229, USA.
Tianbao LiDepartment of Molecular Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX, 78229, USA.
Yufei HuangDepartment of Medicine, UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, 15232, USA.
Victor X JinDepartment of Molecular Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX, 78229, USA. jinv@uthscsa.edu.ORCID 0000-0002-8765-3471

Funding

Systems Analysis of Epigenomic Architecture in Cancer ProgressionU54CA217297 · NCI · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI JIN, VICTOR · 2017 to 2021
$9.3M
Omics analysis of three-dimensional transcriptional regulationR01GM114142 · NIGMS · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI JIN, VICTOR, LIN, SHILI · 2015 to 2024
$2.7M
NCI NIH HHS U54 CA217297NIGMS NIH HHS R01 GM114142
6 · The paper itself

Abstract

We develop a novel computational method, NucHMM, to identify functional nucleosome states associated with cell type-specific combinatorial histone marks and nucleosome organization features such as phasing, spacing and positioning. We test it on publicly available MNase-seq and ChIP-seq data in MCF7, H1, and IMR90 cells and identify 11 distinct functional nucleosome states. We demonstrate these nucleosome states are distinctly associated with the splicing potentiality of skipping exons. This advances our understanding of the chromatin function at the nucleosome level and offers insights into the interplay between nucleosome organization and splicing processes.

Indexed as

Cell LineExonsGenome, HumanHumansMarkov ChainsNucleosomesRNA SplicingNucleosomesHidden Markov modelNucleosome organizationSplicing potentiality

Identifiers

PMID34446075
PMCPMC8390234

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.