Literature DB >> 14522899

Genome-wide identification of chromosomal regions of increased tumor expression by transcriptome analysis.

Yan Zhou1, Shiuh-Ming Luoh, Yan Zhang, Colin Watanabe, Thomas D Wu, Michael Ostland, William I Wood, Zemin Zhang.   

Abstract

Genes up-regulated in tumor cells provide attractive anticancer therapeutic targets. Although the general underlying mechanism for the increased expression in tumors is unknown, tumor-specific up-regulation of some genes can be attributed to aberrant DNA amplification, a phenomenon common to many tumors. Using a computational method, we constructed a general transcriptome map with the human genomic sequences and expressed sequence tags in the public database. The transcriptome map revealed nonrandom chromosomal regions (termed region of increased tumor expression) where clusters of genes exhibited increased expression in the 10 tumor tissue types tested. These genomic regions often correspond to experimentally verified tumor amplicons. Our large-scale transcriptome analysis led to identification of many additional chromosomal regions with increased tumor expression, regions that represent potential tumor amplicons.

Entities:  

Mesh:

Year:  2003        PMID: 14522899

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  19 in total

Review 1.  The LRIG family: enigmatic regulators of growth factor receptor signaling.

Authors:  Catalina Simion; Maria Elvira Cedano-Prieto; Colleen Sweeney
Journal:  Endocr Relat Cancer       Date:  2014-09-02       Impact factor: 5.678

2.  A chromosome-centric human proteome project (C-HPP) to characterize the sets of proteins encoded in chromosome 17.

Authors:  Suli Liu; Hogune Im; Amos Bairoch; Massimo Cristofanilli; Rui Chen; Eric W Deutsch; Stephen Dalton; David Fenyo; Susan Fanayan; Chris Gates; Pascale Gaudet; Marina Hincapie; Samir Hanash; Hoguen Kim; Seul-Ki Jeong; Emma Lundberg; George Mias; Rajasree Menon; Zhaomei Mu; Edouard Nice; Young-Ki Paik; Mathias Uhlen; Lance Wells; Shiaw-Lin Wu; Fangfei Yan; Fan Zhang; Yue Zhang; Michael Snyder; Gilbert S Omenn; Ronald C Beavis; William S Hancock
Journal:  J Proteome Res       Date:  2012-12-21       Impact factor: 4.466

3.  An improved method for detecting and delineating genomic regions with altered gene expression in cancer.

Authors:  Björn Nilsson; Mikael Johansson; Anders Heyden; Sven Nelander; Thoas Fioretos
Journal:  Genome Biol       Date:  2008-01-21       Impact factor: 13.583

4.  Proteomic changes resulting from gene copy number variations in cancer cells.

Authors:  Tamar Geiger; Juergen Cox; Matthias Mann
Journal:  PLoS Genet       Date:  2010-09-02       Impact factor: 5.917

5.  Rhomboid domain containing 2 (RHBDD2): a novel cancer-related gene over-expressed in breast cancer.

Authors:  M C Abba; E Lacunza; M I Nunez; A Colussi; M Isla-Larrain; A Segal-Eiras; M V Croce; C M Aldaz
Journal:  Biochim Biophys Acta       Date:  2009-07-17

6.  Functional profiling and gene expression analysis of chromosomal copy number alterations.

Authors:  Lucía Conde; David Montaner; Jordi Burguet-Castell; Joaquín Tárraga; Fátima Al-Shahrour; Joaquín Dopazo
Journal:  Bioinformation       Date:  2007-04-10

7.  Transcription forms and remodels supercoiling domains unfolding large-scale chromatin structures.

Authors:  Catherine Naughton; Nicolaos Avlonitis; Samuel Corless; James G Prendergast; Ioulia K Mati; Paul P Eijk; Scott L Cockroft; Mark Bradley; Bauke Ylstra; Nick Gilbert
Journal:  Nat Struct Mol Biol       Date:  2013-02-17       Impact factor: 15.369

8.  Coordinated expression domains in mammalian genomes.

Authors:  Yong H Woo; Michael Walker; Gary A Churchill
Journal:  PLoS One       Date:  2010-08-18       Impact factor: 3.240

9.  A large scale survey reveals that chromosomal copy-number alterations significantly affect gene modules involved in cancer initiation and progression.

Authors:  Eva Alloza; Fátima Al-Shahrour; Juan C Cigudosa; Joaquín Dopazo
Journal:  BMC Med Genomics       Date:  2011-05-06       Impact factor: 3.063

10.  In silico whole-genome screening for cancer-related single-nucleotide polymorphisms located in human mRNA untranslated regions.

Authors:  Abdel Aouacheria; Vincent Navratil; Ricardo López-Pérez; Norma C Gutiérrez; Alexander Churkin; Danny Barash; Dominique Mouchiroud; Christian Gautier
Journal:  BMC Genomics       Date:  2007-01-03       Impact factor: 3.969

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