Evidence map›Paper›PMID 28499350›Full record

ArticleBMC genomics2017

Transcription factor-associated combinatorial epigenetic pattern reveals higher transcriptional activity of TCF7L2-regulated intragenic enhancers.

Qi Liu, Russell Bonneville, Tianbao Li, Victor X Jin

Abstract read
In one paragraph

Article in BMC genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

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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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  10. Progesterone Receptor Attenuates STAT1-Mediated IFN Signaling in Breast Cancer.Journal of immunology (Baltimore, Md. : 1950) · 2019
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Qi LiuDepartment of Molecular Medicine, University of Texas Health Science Center, 8403 Floyd Curl, San Antonio, TX, 78229, USA.
Russell BonnevilleBiomedical Sciences Graduate Program, The Ohio State University, Columbus, OH, 43210, USA.
Tianbao LiDepartment of Molecular Medicine, University of Texas Health Science Center, 8403 Floyd Curl, San Antonio, TX, 78229, USA.
Victor X JinDepartment of Molecular Medicine, University of Texas Health Science Center, 8403 Floyd Curl, San Antonio, TX, 78229, USA. jinv@uthscsa.edu.

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

backgroundRecent studies have suggested that combinations of multiple epigenetic modifications are essential for controlling gene expression. Despite numerous computational approaches have been developed to decipher the combinatorial epigenetic patterns or "epigenetic code", none of them has explicitly addressed the relationship between a specific transcription factor (TF) and the patterns.

methodsHere, we developed a novel computational method, T-cep, for annotating chromatin states associated with a specific TF. T-cep is composed of three key consecutive modules: (i) Data preprocessing, (ii) HMM training, and (iii) Potential TF-states calling.

resultsWe evaluated T-cep on a TCF7L2-omics data. Unexpectedly, our method has uncovered a novel set of TCF7L2-regulated intragenic enhancers missed by other software tools, where the associated genes exert the highest gene expression. We further used siRNA knockdown, Co-transfection, RT-qPCR and Luciferase Reporter Assay not only to validate the accuracy and efficiency of prediction by T-cep, but also to confirm the functionality of TCF7L2-regulated enhancers in both MCF7 and PANC1 cells respectively.

conclusionsOur study for the first time at a genome-wide scale reveals the enhanced transcriptional activity of cell-type-specific TCF7L2 intragenic enhancers in regulating gene expression.

Indexed as

Epigenesis, GeneticGenomicsTranscription, GeneticEnhancer Elements, GeneticGenetic LociHumansMCF-7 CellsTranscription Factor 7-Like 2 ProteinTranscription Factor 7-Like 2 ProteinIntragenic enhancerMCF7PANC1T-cepTCF7L2

Identifiers

PMID28499350
PMCPMC5429574

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.