Literature DB >> 11992122

Clustering of housekeeping genes provides a unified model of gene order in the human genome.

Martin J Lercher1, Araxi O Urrutia, Laurence D Hurst.   

Abstract

It is often supposed that, except for tandem duplicates, genes are randomly distributed throughout the human genome. However, recent analyses suggest that when all the genes expressed in a given tissue (notably placenta and skeletal muscle) are examined, these genes do not map to random locations but instead resolve to clusters. We have asked three questions: (i) is this clustering true for most tissues, or are these the exceptions; (ii) is any clustering simply the result of the expression of tandem duplicates and (iii) how, if at all, does this relate to the observed clustering of genes with high expression rates? We provide a unified model of gene clustering that explains the previous observations. We examined Serial Analysis of Gene Expression (SAGE) data for 14 tissues and found significant clustering, in each tissue, that persists even after the removal of tandem duplicates. We confirmed clustering by analysis of independent expressed-sequence tag (EST) data. We then tested the possibility that the human genome is organized into subregions, each specializing in genes needed in a given tissue. By comparing genes expressed in different tissues, we show that this is not the case: those genes that seem to be tissue-specific in their expression do not, as a rule, cluster. We report that genes that are expressed in most tissues (housekeeping genes) show strong clustering. In addition, we show that the apparent clustering of genes with high expression rates is a consequence of the clustering of housekeeping genes.

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Year:  2002        PMID: 11992122     DOI: 10.1038/ng887

Source DB:  PubMed          Journal:  Nat Genet        ISSN: 1061-4036            Impact factor:   38.330


  231 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  2003-03-07       Impact factor: 11.205

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Authors:  Wyeth W Wasserman; William Krivan
Journal:  Naturwissenschaften       Date:  2003-03-27

3.  EVG, the remnants of a primordial bilaterian's synteny of functionally unrelated genes.

Authors:  Begoña Granadino; Javier Rey-Campos
Journal:  J Mol Evol       Date:  2003-11       Impact factor: 2.395

4.  Nuclear genes that encode mitochondrial proteins for DNA and RNA metabolism are clustered in the Arabidopsis genome.

Authors:  Annakaisa Elo; Anna Lyznik; Delkin O Gonzalez; Stephen D Kachman; Sally A Mackenzie
Journal:  Plant Cell       Date:  2003-07       Impact factor: 11.277

5.  Spurious spatial periodicity of co-expression in microarray data due to printing design.

Authors:  Gábor Balázsi; Krin A Kay; Albert-László Barabási; Zoltán N Oltvai
Journal:  Nucleic Acids Res       Date:  2003-08-01       Impact factor: 16.971

6.  Comparative sequence and x-inactivation analyses of a domain of escape in human xp11.2 and the conserved segment in mouse.

Authors:  Karen D Tsuchiya; John M Greally; Yajun Yi; Kevin P Noel; Jean-Pierre Truong; Christine M Disteche
Journal:  Genome Res       Date:  2004-06-14       Impact factor: 9.043

7.  ArrayXPath: mapping and visualizing microarray gene-expression data with integrated biological pathway resources using Scalable Vector Graphics.

Authors:  Hee-Joon Chung; Mingoo Kim; Chan Hee Park; Jihoon Kim; Ju Han Kim
Journal:  Nucleic Acids Res       Date:  2004-07-01       Impact factor: 16.971

8.  A developmental transcriptional network for maize defines coexpression modules.

Authors:  Gregory S Downs; Yong-Mei Bi; Joseph Colasanti; Wenqing Wu; Xi Chen; Tong Zhu; Steven J Rothstein; Lewis N Lukens
Journal:  Plant Physiol       Date:  2013-02-06       Impact factor: 8.340

9.  An ORFeome-based analysis of human transcription factor genes and the construction of a microarray to interrogate their expression.

Authors:  David N Messina; Jarret Glasscock; Warren Gish; Michael Lovett
Journal:  Genome Res       Date:  2004-10       Impact factor: 9.043

10.  The signature of selection mediated by expression on human genes.

Authors:  Araxi O Urrutia; Laurence D Hurst
Journal:  Genome Res       Date:  2003-09-15       Impact factor: 9.043

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