Evidence map›Paper›PMID 22824656›Full record

ArticleGenomics2012

Chromatin state and microRNA determine different gene expression dynamics responsive to TNF stimulation.

Ruijuan Li, Weilong Guo, Jin Gu, Michael Q Zhang, Xiaowo Wang

Open access · greenAbstract read
In one paragraph

Article in Genomics, 2012. 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
0.1field-weighted citation impact, top 43% 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, 6 citations in OpenAlex.

  1. 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

5 authors at 2 institutions in 2 countries.

Ruijuan LiMOE Key Laboratory of Bioinformatics and Bioinformatics Div, TNLIST/Department of Automation, Tsinghua University, Beijing 100084, China.
Weilong Guo
Jin Gu
Michael Q Zhang
Xiaowo Wang
Tsinghua University · CNThe University of Texas at Dallas · US

Funding

PROTEIN CODING GENES IN THE HUMAN GENOMER01HG001696 · NHGRI · UNIVERSITY OF TEXAS DALLAS · PI ZHANG, MICHAEL Q · 1997 to 2010
$5.1M
REPROGRAMMING BY mRNA CLEARANCE: THE MAT-TO-ZYG TRANSITIONR01GM084198 · NIGMS · UT SOUTHWESTERN MEDICAL CENTER · PI LIN, RUEYLING, ZHANG, MICHAEL Q · 2009 to 2018
$2.8M
NHGRI NIH HHS HG001696NHGRI NIH HHS R01 HG001696NIGMS NIH HHS R01 GM084198
6 · The paper itself

Abstract

Gene expression is a dynamic process, and what factors influence gene expression changes upon external stimulus have not been clearly understood. We studied gene expression profiles in human umbilical vein endothelial cells (HUVEC) after the Tumor Necrosis Factor (TNF) stimulus, and found that: the promoters of fast-response up-regulated genes were enriched with several "active" chromatin markers like H3K27ac and H3K4me3, and also preferentially bound by Pol II and c-Myc; the core-promoter regions of slow-response up-regulated genes were frequently occupied by nucleosomes; down-regulated genes were more intensively regulated by microRNAs. Moreover, the Gene Ontology and motif analysis of the promoter regions revealed that gene clusters with different response behaviors had different functions and were regulated by different sets of transcription factors. Our observations suggested that the different gene expression patterns upon external stimulus were regulated by a combination of multi-layer regulators.

Indexed as

ChromatinComputational BiologyGene Expression ProfilingGene Expression RegulationGenetic MarkersHumansHuman Umbilical Vein Endothelial CellsMicroarray AnalysisMicroRNAsMultigene FamilyTranscription FactorsTumor Necrosis Factor-alphaChromatinGenetic MarkersMicroRNAsTranscription FactorsTumor Necrosis Factor-alpha

Identifiers

PMID22824656
PMCPMC3771509
OpenAlexW2058601245

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.