Evidence map›Paper›PMID 34085045›Full record

Article... IEEE-EMBS International Conference on Biomedical and Health Informatics. IEEE-EMBS International Conference on Biomedical and Health Informatics2019

Alterations in Chromatin Folding Patterns in Cancer Variant-Enriched Loci.

Alan Perez-Rathke, Samira Mali, Lin Du, Jie Liang

Abstract read
In one paragraph

Article in ... IEEE-EMBS International Conference on Biomedical and Health Informatics. IEEE-EMBS International Conference on Biomedical and Health Informatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

4 authors.

Alan Perez-RathkeBioinformatics Program, Department of Bioengineering, University of Illinois at Chicago, Chicago, IL 60607, USA.
Samira MaliBioinformatics Program, Department of Bioengineering, University of Illinois at Chicago, Chicago, IL 60607, USA.
Lin DuBioinformatics Program, Department of Bioengineering, University of Illinois at Chicago, Chicago, IL 60607, USA.
Jie LiangBioinformatics Program, Department of Bioengineering, University of Illinois at Chicago, Chicago, IL 60607, USA.

Funding

Models and Algorithms for Biological Networks and Polymers: Stochastic Probability Landscape and Chromatin EnsemblesR35GM127084 · NIGMS · UNIVERSITY OF ILLINOIS AT CHICAGO · PI LIANG, JIE · 2018 to 2025
$3.7M
Database and Tools for Functional Inference and Mechanistic Insight into Somatic Cancer MutationsR01CA204962 · NCI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI LIANG, JIE, TSENG, YAN-YUAN · 2017 to 2019
$988k
Constructing Ensembles of 3D Structures of Igh Locus and Predicting Novel Chromosomal InteractionsR21AI126308 · NIAID · UNIVERSITY OF ILLINOIS AT CHICAGO · PI LIANG, JIE · 2017 to 2018
$421k
NCI NIH HHS R01 CA204962NIAID NIH HHS R21 AI126308NIGMS NIH HHS R35 GM127084
6 · The paper itself

Abstract

In this study, we focus on the following question: do genomic regions enriched in cancer variant mutations have significantly different chromatin folding patterns? We utilize publicly available Hi-C data to characterize chromatin folding patterns in healthy (GM12878) and cancer (K562) cells based on status of A/B compartmentalization and random vs non-random chromatin physical interactions. We then perform statistical testing to assess if chromatin folding patterns in cancer variant-enriched loci are significantly different from non-enriched loci. Our results indicate that loci with cancer variant status have significantly altered (FDR < 0.05) chromatin folding patterns.

Indexed as

CancerChromatin foldingHi-CNuclear organization

Identifiers

PMID34085045
PMCPMC8172279

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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.