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Lu, Yong Jie, Williamson, Daniel, Clark, Jeremy, Wang, Rubin, Tiffin, Nicki, Skelton, Lorraine, Gordon, Tony, Williams, Richard, Allan, Barry, Jackman, Ann, Cooper, Colin 
ORCID: https://orcid.org/0000-0003-2013-8042, Pritchard-Jones, Kathy and Shipley, Janet
(2001)
Comparative expressed sequence hybridization to chromosomes for tumor classification and identification of genomic regions of differential gene expression.
Proceedings of the National Academy of Sciences of the United States of America, 98 (16).
pp. 9197-9202.
ISSN 0027-8424
Abstract
Altered expression of genes can have phenotypic consequences in cancer development and treatment, developmental abnormalities, and differentiation processes. Here we describe a rapid approach, termed comparative expressed sequence hybridization (CESH), which gives a genome-wide view of relative expression patterns within tissues according to chromosomal location. No prior knowledge of genes or cloning is required, and minimal amounts of tissue can be used. Expression profiles are achieved in a manner similar to the identification of chromosomal imbalances by comparative genomic hybridization analysis. The approach is demonstrated to indicate a chromosomal region that harbors overexpressed genes that may be associated with a drug-resistant phenotype. In addition, known and new regions of differential gene expression in both normal tissues and tumor samples from the soft tissue sarcoma group of rhabdomyosarcoma (RMS) are indicated. These regions included 2p24; overexpression of MYCN at 2p24 was confirmed by quantitative reverse transcription-PCR for all of the alveolar RMS cases and did not necessarily correspond to genomic amplification. Evidence including region specific microarray analysis indicated that overexpression of several genes from a region may be required for detection by CESH. This evidence is consistent with clusters of functionally related genes and mechanisms that affect the expression of a number of genes at a particular genomic location. The distinctive CESH profiles demonstrated in different subtypes of RMS show potential for tumor classification.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | general,sdg 3 - good health and well-being ,/dk/atira/pure/subjectarea/asjc/1000 |
| Faculty \ School: | Faculty of Medicine and Health Sciences > Norwich Medical School |
| UEA Research Groups: | Faculty of Medicine and Health Sciences > Research Groups > Cancer Studies Faculty of Medicine and Health Sciences > Research Centres > Metabolic Health |
| Related URLs: | |
| Depositing User: | LivePure Connector |
| Date Deposited: | 18 Jul 2022 15:31 |
| Last Modified: | 06 Jun 2024 15:19 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/86479 |
| DOI: | 10.1073/pnas.161272798 |
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