Evidence map›Paper›PMID 36475785›Full record

ArticleScience advances2022

StripeDiff: Model-based algorithm for differential analysis of chromatin stripe.

Krishan Gupta, Guangyu Wang, Shuo Zhang, Xinlei Gao, Rongbin Zheng, Yanchun Zhang, Qingshu Meng, Lili Zhang, Qi Cao, Kaifu Chen

Abstract read
In one paragraph

Article in Science advances, 2022. 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. Machine and Deep Learning Methods for Predicting 3D Genome Organization.Methods in molecular biology (Clifton, N.J.) · 2025
    Review
  3. Article
  4. Review
  5. Review
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

10 authors.

Krishan GuptaDepartment of Cardiology, Boston Children's Hospital, Boston, MA 02115, USA.ORCID 0000-0002-3390-9494
Guangyu WangDepartment of Cardiology, Boston Children's Hospital, Boston, MA 02115, USA.ORCID 0000-0003-4803-7200
Shuo ZhangHouston Methodist Hospital Research Institute, Houston, TX 77030, USA.ORCID 0000-0002-4031-4149
Xinlei GaoDepartment of Cardiology, Boston Children's Hospital, Boston, MA 02115, USA.ORCID 0000-0002-8813-6329
Rongbin ZhengDepartment of Cardiology, Boston Children's Hospital, Boston, MA 02115, USA.ORCID 0000-0001-9928-2463
Yanchun ZhangDepartment of Cardiology, Boston Children's Hospital, Boston, MA 02115, USA.ORCID 0000-0002-5332-6827
Qingshu MengDepartment of Urology, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA.ORCID 0000-0001-8093-7482
Lili ZhangDepartment of Cardiology, Boston Children's Hospital, Boston, MA 02115, USA.ORCID 0000-0002-5032-7031
Qi CaoDepartment of Urology, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA.ORCID 0000-0002-5140-3681
Kaifu ChenDepartment of Cardiology, Boston Children's Hospital, Boston, MA 02115, USA.ORCID 0000-0003-1009-4357

Funding

VACCINIA PSA FOR ANDROGEN-MODULATED POST-SURGICAL RECURRENCE OF PROSTATE CANCERP50CA069568 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI COONEY, KATHLEEN A · 1995 to 2013
$31.3M
Targeting FOXA1-downstream pathways: a novel therapeutic strategy for castration-resistant prostate cancerP50CA180995 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI ABDULKADIR, SARKI A., HUSSAIN, MAHA H · 2015 to 2025
$19.9M
Reversal of Heart Failure: Role of Vascular RecoveryR01HL148338 · NHLBI · METHODIST HOSPITAL RESEARCH INSTITUTE · PI CHEN, KAIFU, COOKE, JOHN P · 2020 to 2023
$2.8M
Transcription Factor 4 Maintain Endothelial identity to Oppose Heart FailureR01HL155632 · NHLBI · BOSTON CHILDREN'S HOSPITAL · PI Lili Zhang · 2022 to 2026
$2.5M
A non-canonical role for EZH2 in rRNA methtlationR01CA256741 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI CAO, QI · 2021 to 2025
$2.1M
The inhibitory network between EZH2 and PARP1 in triple-negative breast cancerR01CA208257 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI CAO, QI · 2017 to 2022
$1.8M
Bioinformatics Techniques to Analyze Dynamic Changes of 3D GenomeR01GM138407 · NIGMS · BOSTON CHILDREN'S HOSPITAL · PI CHEN, KAIFU · 2022 to 2025
$1.8M
Computational epigenetics modeling of cell identity genesR01GM125632 · NIGMS · METHODIST HOSPITAL RESEARCH INSTITUTE · PI CHEN, KAIFU · 2018 to 2021
$1.4M
NCI NIH HHS P50 CA069568NCI NIH HHS P50 CA180995NCI NIH HHS R01 CA208257NCI NIH HHS R01 CA256741NHLBI NIH HHS R01 HL148338NHLBI NIH HHS R01 HL155632NIGMS NIH HHS R01 GM125632NIGMS NIH HHS R01 GM138407
6 · The paper itself

Abstract

Multiple recent studies revealed stripes as an architectural feature of three-dimensional chromatin and found stripes connected to epigenetic regulation of transcription. Whereas a couple of tools are available to define stripes in a single sample, there is yet no reported method to quantitatively measure the dynamic change of each stripe between samples. Here, we developed StripeDiff, a bioinformatics tool that delivers a set of statistical methods to detect differential stripes between samples. StripeDiff showed optimal performance in both simulation data analysis and real Hi-C data analysis. Applying StripeDiff to 12 sets of Hi-C data revealed new insights into the connection between change of chromatin stripe and change of chromatin modification, transcriptional regulation, and cell differentiation. StripeDiff will be a robust tool for the community to facilitate understanding of stripes and their function in numerous biological models.

Identifiers

PMID36475785
PMCPMC9728969

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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.