Evidence map›Paper›PMID 31688895›Full record

ArticleBioinformatics (Oxford, England)2020

YY1 is a cis-regulator in the organoid models of high mammographic density.

Qingsu Cheng, Mina Khoshdeli, Bradley S Ferguson, Kosar Jabbari, Chongzhi Zang, Bahram Parvin

Open access · greenAbstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.5field-weighted citation impact, top 35% of its field
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

7 citing papers in PubMed, 8 citations in OpenAlex.

  1. 3D-Organoid-SwinNet: High-Content Profiling of 3D Organoids.IEEE journal of biomedical and health informatics · 2025
    Article
  2. Article
  3. CD36International journal of molecular sciences · 2022
    Article
  4. Article
  5. Article
  6. Article
  7. 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

6 authors at 2 institutions in 1 country.

Qingsu ChengDepartment of Electrical and Biomedical Engineering, University of Nevada, Reno, NV 22908, USA.
Mina KhoshdeliDepartment of Electrical and Biomedical Engineering, University of Nevada, Reno, NV 22908, USA.
Bradley S FergusonDepartment of Nutrition, University Of Nevada, Reno, NV 22908, USA.
Kosar JabbariDepartment of Electrical and Biomedical Engineering, University of Nevada, Reno, NV 22908, USA.
Chongzhi ZangCenter for Public Health Genomics, Department of Public Health Sciences, University of Virginia, Charlottesville, VA 22908, USA.
Bahram ParvinDepartment of Electrical and Biomedical Engineering, University of Nevada, Reno, NV 22908, USA.
University of Nevada, Reno · USOffice of Public Health Genomics · US

Funding

Transgenic Animal Genotyping and Phenotyping CoreP20GM130459 · NIGMS · UNIVERSITY OF NEVADA RENO · PI Nathan Grainger · 2019 to 2026
$20.3M
High Content Representation and Association of 3D Cell Culture ModelsR01CA140663 · NCI · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI PARVIN, BAHRAM A. · 2011 to 2014
$2.4M
Quantitative Modeling for Chromatin Regulation of Gene Expression in CancerK22CA204439 · NCI · UNIVERSITY OF VIRGINIA · PI ZANG, CHONGZHI · 2017 to 2019
$577k
Stratifying brain tumors by structural subtyping and heterogeneityR15CA235430 · NCI · UNIVERSITY OF NEVADA RENO · PI PARVIN, BAHRAM A. · 2019 to 2019
$430k
The impact for sarcomere acetylation in the heartR15HL143496 · NHLBI · UNIVERSITY OF NEVADA RENO · PI FERGUSON, BRADLEY S · 2019 to 2019
$402k
NCI NIH HHS K22 CA204439NCI NIH HHS R01 CA140663NCI NIH HHS R15 CA235430NHLBI NIH HHS R15 HL143496NIGMS NIH HHS P20 GM130459
6 · The paper itself

Abstract

motivationOur previous study has shown that ERBB2 is overexpressed in the organoid model of MCF10A when the stiffness of the microenvironment is increased to that of high mammographic density (MD). We now aim to identify key transcription factors (TFs) and functional enhancers that regulate processes associated with increased stiffness of the microenvironment in the organoid models of premalignant human mammary cell lines.

results3D colony organizations and the cis-regulatory networks of two human mammary epithelial cell lines (184A1 and MCF10A) are investigated as a function of the increased stiffness of the microenvironment within the range of MD. The 3D colonies are imaged using confocal microscopy, and the morphometries of colony organizations and heterogeneity are quantified as a function of the stiffness of the microenvironment using BioSig3D. In a surrogate assay, colony organizations are profiled by transcriptomics. Transcriptome data are enriched by correlative analysis with the computed morphometric indices. Next, a subset of enriched data are processed against publicly available ChIP-Seq data using Model-based Analysis of Regulation of Gene Expression to predict regulatory transcription factors. This integrative analysis of morphometric and transcriptomic data predicted YY1 as one of the cis-regulators in both cell lines as a result of the increased stiffness of the microenvironment. Subsequent experiments validated that YY1 is expressed at protein and mRNA levels for MCF10A and 184A1, respectively. Also, there is a causal relationship between activation of YY1 and ERBB2 when YY1 is overexpressed at the protein level in MCF10A. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

Breast DensityOrganoidsYY1 Transcription FactorCell LineComputational BiologyHumansTranscription FactorsTranscription FactorsYY1 protein, humanYY1 Transcription Factor

Identifiers

PMID31688895
PMCPMC7075524
OpenAlexW2989380501

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.