Literature DB >> 14668216

Combining DNA expression with positional information to detect functional silencing of chromosomal regions.

Johannes Hüsing1, Michael Zeschnigk, Tanja Boes, Karl-Heinz Jöckel.   

Abstract

MOTIVATION: Loss of chromosomal material is often observed in cancer cells. In this situation the expression of genes is related to their position on the genome. Epigenetic phenomena may also silence several genes in the same region of a chromosome. While cytogenetic or other molecular genetic methods spot changes of DNA copy number, they cannot detect other causes of silencing.
RESULTS: We propose a method that utilizes the link from expression information gained from high-density DNA microarrays to the gene locus according to current databases. Statistical methods adequate to spot conspicuous runs of non-expressed genes are introduced and compared to one another by merit of their power and robustness against false positives. AVAILABILITY: Code for the formulae can be obtained (R code) via http://www.panix.com/~derwisch/hannes/longrun

Entities:  

Mesh:

Year:  2003        PMID: 14668216     DOI: 10.1093/bioinformatics/btg314

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  5 in total

1.  Inter-chromosomal variation in the pattern of human population genetic structure.

Authors:  Tesfaye M Baye
Journal:  Hum Genomics       Date:  2011-05       Impact factor: 4.639

2.  REEF: searching REgionally Enriched Features in genomes.

Authors:  Alessandro Coppe; Gian Antonio Danieli; Stefania Bortoluzzi
Journal:  BMC Bioinformatics       Date:  2006-10-16       Impact factor: 3.169

3.  Comparison of array-based comparative genomic hybridization with gene expression-based regional expression biases to identify genetic abnormalities in hepatocellular carcinoma.

Authors:  Kyle A Furge; Karl J Dykema; Coral Ho; Xin Chen
Journal:  BMC Genomics       Date:  2005-05-09       Impact factor: 3.969

4.  Chromosomal patterns of gene expression from microarray data: methodology, validation and clinical relevance in gliomas.

Authors:  Federico E Turkheimer; Federico Roncaroli; Benoit Hennuy; Christian Herens; Minh Nguyen; Didier Martin; Annick Evrard; Vincent Bours; Jacques Boniver; Manuel Deprez
Journal:  BMC Bioinformatics       Date:  2006-12-01       Impact factor: 3.169

5.  Genomic expression during human myelopoiesis.

Authors:  Francesco Ferrari; Stefania Bortoluzzi; Alessandro Coppe; Dario Basso; Silvio Bicciato; Roberta Zini; Claudia Gemelli; Gian Antonio Danieli; Sergio Ferrari
Journal:  BMC Genomics       Date:  2007-08-03       Impact factor: 3.969

  5 in total

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