Evidence map›Paper›PMID 18541026›Full record

ArticleBMC bioinformatics2008

TiGER: a database for tissue-specific gene expression and regulation.

Xiong Liu, Xueping Yu, Donald J Zack, Heng Zhu, Jiang Qian

Abstract read
In one paragraph

Article in BMC bioinformatics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 216 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
216citing papers in PubMed, 2 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

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

216 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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156 more citing papers are in PubMed but not listed here.

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.

Xiong LiuWilmer Institute, Johns Hopkins University School of Medicine, Maumenee Building 844, 600 N, Wolfe Street, Baltimore, MD 21287, USA. xliu09@gmail.com
Xueping Yu
Donald J Zack
Heng Zhu
Jiang Qian

Funding

Wilmer Core Grant for Vision ResearchP30EY001765 · NEI · JOHNS HOPKINS UNIVERSITY · PI Jiang Qian · 1985 to 2026
$22.1M
DNA-Binding Activity of Human Transcription FactorsR01GM076102 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI ZHU, HENG · 2006 to 2014
$2.6M
Computational Analysis of Retinal Regulatory Interactions: structure and dynamicsR01EY017589 · NEI · JOHNS HOPKINS UNIVERSITY · PI QIAN, JIANG · 2007 to 2010
$1.1M
NEI NIH HHS EY001765NEI NIH HHS EY017589NEI NIH HHS P30 EY001765NEI NIH HHS R01 EY017589NIGMS NIH HHS GM076102NIGMS NIH HHS R01 GM076102
6 · The paper itself

Abstract

backgroundUnderstanding how genes are expressed and regulated in different tissues is a fundamental and challenging question. However, most of currently available biological databases do not focus on tissue-specific gene regulation.

resultsThe recent development of computational methods for tissue-specific combinational gene regulation, based on transcription factor binding sites, enables us to perform a large-scale analysis of tissue-specific gene regulation in human tissues. The results are stored in a web database called TiGER (Tissue-specific Gene Expression and Regulation). The database contains three types of data including tissue-specific gene expression profiles, combinatorial gene regulations, and cis-regulatory module (CRM) detections. At present the database contains expression profiles for 19,526 UniGene genes, combinatorial regulations for 7,341 transcription factor pairs and 6,232 putative CRMs for 2,130 RefSeq genes.

conclusionWe have developed and made publicly available a database, TiGER, which summarizes and provides large scale data sets for tissue-specific gene expression and regulation in a variety of human tissues. This resource is available at 1.

Indexed as

Database Management SystemsDatabases, GeneticGene Expression ProfilingOrgan SpecificityProteomeSignal TransductionTissue Array AnalysisProteome

Identifiers

PMID18541026
PMCPMC2438328

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LicenceCC BY
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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.