Literature DB >> 17311536

The application of microarray technology to the analysis of the cancer genome.

John K Cowell1, Lesleyann Hawthorn.   

Abstract

The identification of genetic events that are involved in the development of human cancer has been facilitated through the development and application of a diverse series of high resolution, high throughput microarray platforms. Essentially there are two types of array; those that carry PCR products from cloned nucleic acids (e.g. cDNA, BACs, cosmids) and those that use oligonucleotides. Each has advantages and disadvantages but it is now possible to survey genome wide DNA copy number abnormalities and expression levels to allow correlations between losses, gains and amplifications in tumor cells with genes that are over- and under-expressed in the same samples. The gene expression arrays that provide estimates of mRNA levels in tumors have given rise to exon-specific arrays that can identify both gene expression levels, alternative splicing events and mRNA processing alterations. Oligonucleotide arrays are also being used to interrogate single nucleotide polymorphisms (SNPs) throughout the genome for linkage and association studies and these have been adapted to quantify copy number abnormalities and loss of heterozygosity events. To identify as yet unknown transcripts tiling arrays across the genome have been developed which can also identify DNA methylation changes and be used to identify DNA-protein interactions using ChIP on Chip protocols. Ultimately DNA sequencing arrays will allow resequencing of chromosome regions and whole genomes. With all of these capabilities becoming routine in genomics laboratories, the idea of a systematic characterization of the sum genetic events that give rise to a cancer cell is rapidly becoming a reality.

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Year:  2007        PMID: 17311536     DOI: 10.2174/156652407779940387

Source DB:  PubMed          Journal:  Curr Mol Med        ISSN: 1566-5240            Impact factor:   2.222


  15 in total

1.  Revealing the transcriptome landscape of mouse spermatogonial cells by tiling microarray.

Authors:  Tin-Lap Lee; Owen M Rennert; Wai-Yee Chan
Journal:  Methods Mol Biol       Date:  2012

Review 2.  Methods in DNA methylation profiling.

Authors:  Tao Zuo; Benjamin Tycko; Ta-Ming Liu; Juey-Jen L Lin; Tim H-M Huang
Journal:  Epigenomics       Date:  2009-12       Impact factor: 4.778

3.  Interaction network analysis of differentially expressed genes and screening of cancer marker in the urine of patients with invasive bladder cancer.

Authors:  Baihong Guo; Tuanjie Che; Baoguang Shi; Lijun Guo; Zhihua Zhang; Lin Li; Chuanyong Cai; Yirong Chen
Journal:  Int J Clin Exp Med       Date:  2015-03-15

4.  Vitamin B6 Deficiency Promotes Loss of Heterozygosity (LOH) at the Drosophila warts (wts) Locus.

Authors:  Eleonora Gnocchini; Eleonora Pilesi; Ludovica Schiano; Fiammetta Vernì
Journal:  Int J Mol Sci       Date:  2022-05-29       Impact factor: 6.208

Review 5.  Institutional shared resources and translational cancer research.

Authors:  Paolo De Paoli
Journal:  J Transl Med       Date:  2009-06-29       Impact factor: 5.531

Review 6.  Current and future directions in genomics of amyotrophic lateral sclerosis.

Authors:  John Ravits; Bryan J Traynor
Journal:  Phys Med Rehabil Clin N Am       Date:  2008-08       Impact factor: 1.784

7.  Universal Reference RNA is not a representative normal sample for oligonucleotide microarray studies.

Authors:  Wilfrido D Mojica; Leighton Stein; Lesleyann Hawthorn
Journal:  Pathol Oncol Res       Date:  2008-06-14       Impact factor: 3.201

8.  Identification and validation of copy number variants using SNP genotyping arrays from a large clinical cohort.

Authors:  Armand Valsesia; Brian J Stevenson; Dawn Waterworth; Vincent Mooser; Peter Vollenweider; Gérard Waeber; C Victor Jongeneel; Jacques S Beckmann; Zoltán Kutalik; Sven Bergmann
Journal:  BMC Genomics       Date:  2012-06-15       Impact factor: 3.969

9.  Analysis of wilms tumors using SNP mapping array-based comparative genomic hybridization.

Authors:  Lesleyann Hawthorn; John K Cowell
Journal:  PLoS One       Date:  2011-04-22       Impact factor: 3.240

10.  Differentially expressed alternatively spliced genes in malignant pleural mesothelioma identified using massively parallel transcriptome sequencing.

Authors:  Lingsheng Dong; Roderick V Jensen; Assunta De Rienzo; Gavin J Gordon; Yanlong Xu; David J Sugarbaker; Raphael Bueno
Journal:  BMC Med Genet       Date:  2009-12-31       Impact factor: 2.103

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