Evidence map›Paper›PMID 28066512›Full record

ArticleInternational journal of computational biology and drug design

Inference of hierarchical regulatory network of TCF7L2 binding sites in MCF7 cell line.

Yao Wang, Rui Wang, Victor X Jin

Open access · greenAbstract read
In one paragraph

Article in International journal of computational biology and drug design. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 32% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

3 authors at 2 institutions in 2 countries.

Yao WangDepartments of Molecular Medicine and Epidemiology and Biostatistics, University of Texas Health Science Center at San Antonio, San Antonio, TX 78229, USA, wangy14@uthscsa.edu.
Rui WangSchool of Chemical and Environment Science, Shaanxi University of Technology, Hanzhong, Shaanxi 723000, China, wangrui830413@163.com.
Victor X JinDepartments of Molecular Medicine and Epidemiology and Biostatistics, University of Texas Health Science Center at San Antonio, San Antonio, TX 78229, USA, jinv@uthscsa.edu.
The University of Texas Health Science Center at San Antonio · USShaanxi University of Technology · CN

Funding

Omics analysis of three-dimensional transcriptional regulationR01GM114142 · NIGMS · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI JIN, VICTOR, LIN, SHILI · 2015 to 2024
$2.7M
NIGMS NIH HHS R01 GM114142
6 · The paper itself

Abstract

The TCF7L2 transcription factor (TF) is a member of Wnt signalling pathway, and may influence transcription of several genes by binding to distinct regulatory regions. Genome-wide studies have identified thousands of TCF7L2 binding sites and have revealed some associated TF partners. However, there is still a large uncharted region in the hierarchical regulatory network for TCF7L2 and the partner TFs in MCF7 cells. We analysed ChIP-seq data by searching for motifs in the enriched peak region based on TF-specific position weight matrix (PWM). We found association of FOXO1 and CAD with up-regulated genes, AP2α, PBF and AP1 with down-regulated genes. TCF7L2 and GATA3 were found to be associated with both up and down-regulated genes. Our study uncovers new TCF7L2 associated regulatory networks by mining ChIP-seq data in MCF7 cell, which may contribute to further study of the mechanisms related to Wnt pathway in breast cancer or other diseases.

Indexed as

hierarchical regulatory networksMCF7motifTCF7L2TFtranscription factor

Identifiers

PMID28066512
PMCPMC5218816
OpenAlexW2330813311

What OpenQuestion holds

Textmetadata
LicenceTDM
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.