Evidence map›Paper›PMID 19014478›Full record

ArticleBMC biology2008

A comprehensive functional analysis of tissue specificity of human gene expression.

Zoltán Dezso, Yuri Nikolsky, Evgeny Sviridov, Weiwei Shi, Tatiana Serebriyskaya, Damir Dosymbekov, Andrej Bugrim, Eugene Rakhmatulin, Richard J Brennan, Alexey Guryanov and 4 more

Open access · goldAbstract read
In one paragraph

Article in BMC biology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 129 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
129citing papers in PubMed, 4 pooled it
3.4field-weighted citation impact, top 7% 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

129 citing papers in PubMed, 4 syntheses or guidelines pooled it, 240 citations in OpenAlex.

  1. Pooled it
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  3. Pooled it
  4. Pooled it
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  16. In search of epigenetic hallmarks of different tissues: an integrative omics study of horse liver, lung, and heart.Mammalian genome : official journal of the International Mammalian Genome Society · 2024
    Article
  17. Article
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  19. Article
  20. Review

69 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

14 authors at 3 institutions in 2 countries.

Zoltán DezsoGeneGo, Inc, Renaissance Drive, St, Joseph, MI 49085, USA. zoltan@genego.com
Yuri Nikolsky
Evgeny Sviridov
Weiwei Shi
Tatiana Serebriyskaya
Damir Dosymbekov
Andrej Bugrim
Eugene Rakhmatulin
Richard J Brennan
Alexey Guryanov
Kelly Li
Julie Blake
Raymond R Samaha
Tatiana Nikolskaya
Vavilov Institute of General Genetics · RUGenVec · USRussian Academy of Sciences · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn recent years, the maturation of microarray technology has allowed the genome-wide analysis of gene expression patterns to identify tissue-specific and ubiquitously expressed ('housekeeping') genes. We have performed a functional and topological analysis of housekeeping and tissue-specific networks to identify universally necessary biological processes, and those unique to or characteristic of particular tissues.

resultsWe measured whole genome expression in 31 human tissues, identifying 2374 housekeeping genes expressed in all tissues, and genes uniquely expressed in each tissue. Comprehensive functional analysis showed that the housekeeping set is substantially larger than previously thought, and is enriched with vital processes such as oxidative phosphorylation, ubiquitin-dependent proteolysis, translation and energy metabolism. Network topology of the housekeeping network was characterized by higher connectivity and shorter paths between the proteins than the global network. Ontology enrichment scoring and network topology of tissue-specific genes were consistent with each tissue's function and expression patterns clustered together in accordance with tissue origin. Tissue-specific genes were twice as likely as housekeeping genes to be drug targets, allowing the identification of tissue 'signature networks' that will facilitate the discovery of new therapeutic targets and biomarkers of tissue-targeted diseases.

conclusionA comprehensive functional analysis of housekeeping and tissue-specific genes showed that the biological function of housekeeping and tissue-specific genes was consistent with tissue origin. Network analysis revealed that tissue-specific networks have distinct network properties related to each tissue's function. Tissue 'signature networks' promise to be a rich source of targets and biomarkers for disease treatment and diagnosis.

Indexed as

Gene Expression RegulationOrgan SpecificityCluster AnalysisGene Regulatory NetworksGenesHumansOligonucleotide Array Sequence Analysis

Identifiers

PMID19014478
PMCPMC2645369
OpenAlexW1978695171

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.