Evidence map›Paper›PMID 26484153›Full record

ArticleGenomics data2015

An integrated functional genomic analysis identifies the antitumorigenic mechanism of action for PPARγ in lung cancer cells.

Rahul K Kollipara, Ralf Kittler

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Genomics data, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 39% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

2 authors at 1 institution in 1 country.

Rahul K KolliparaEugene McDermott Center for Human Growth and Development, The University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Ralf KittlerEugene McDermott Center for Human Growth and Development, The University of Texas Southwestern Medical Center, Dallas, TX 75390, USA ; Simmons Comprehensive Cancer Center, The University of Texas Southwestern Medical Center, Dallas, TX 75390, USA ; Department of Pharmacology, The University of Texas Southwestern Medical Center, Dallas, TX 75390, USA ; Green Center for Reproductive Biology Sciences, The University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
The University of Texas Southwestern Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Integrating the analysis of the cistrome of a transcription factor by ChIP-Seq with the study of its transcriptional output by microarray or RNA-Seq analysis is a powerful approach to elucidate the genomic functions of a transcription factor. Recently, we employed this approach to determine the mechanism of action by which the nuclear receptor PPARγ elicits its antitumorigenic effects in lung cancer cells upon activation by TZDs (1). Here we describe in detail the design, contents and quality controls for the gene expression and cistrome analyses associated with our study published in Cell Metabolism in 2014.

Indexed as

BioinformaticsChIP-SeqGene expressionLung cancerMicroarray

Identifiers

PMID26484153
PMCPMC4535999
OpenAlexW2114772775

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.