Literature DB >> 15868418

Array CGH technologies and their applications to cancer genomes.

Jonathan J Davies1, Ian M Wilson, Wan L Lam.   

Abstract

Cancer is a disease characterized by genomic instability. Comparative genomic hybridization (CGH) is a technique designed for detecting segmental genomic alterations. Recent advances in array-based CGH technology have enabled examination of chromosomal regions in unprecedented detail, revolutionizing our understanding of tumour genomes. A number of array-based technologies have been developed, aiming to improve the resolution of CGH, enabling researchers to refine and define regions in the genome that may be causal to cancer, and facilitating gene discovery at a rapid rate. This article reviews the various array CGH platforms and their use in the study of cancer genomes. In addition, the need for high-resolution analysis is discussed as well as the importance of studying early-stage disease to discover genetic alterations that may be causal to cancer progression and aetiology.

Entities:  

Mesh:

Year:  2005        PMID: 15868418     DOI: 10.1007/s10577-005-2168-x

Source DB:  PubMed          Journal:  Chromosome Res        ISSN: 0967-3849            Impact factor:   5.239


  32 in total

Review 1.  Current concepts in the molecular genetics of pediatric brain tumors: implications for emerging therapies.

Authors:  Mandeep S Tamber; Krishan Bansal; Muh-Lii Liang; Todd G Mainprize; Bodour Salhia; Paul Northcott; Michael Taylor; James T Rutka
Journal:  Childs Nerv Syst       Date:  2006-09-02       Impact factor: 1.475

2.  Comparison of comparative genomic hybridization technologies across microarray platforms.

Authors:  Susan D Hester; Laura Reid; Norma Nowak; Wendell D Jones; Joel S Parker; Kevin Knudtson; William Ward; Jay Tiesman; Nancy D Denslow
Journal:  J Biomol Tech       Date:  2009-04

3.  A model-based circular binary segmentation algorithm for the analysis of array CGH data.

Authors:  Fang-Han Hsu; Hung-I H Chen; Mong-Hsun Tsai; Liang-Chuan Lai; Chi-Cheng Huang; Shih-Hsin Tu; Eric Y Chuang; Yidong Chen
Journal:  BMC Res Notes       Date:  2011-10-10

4.  Identification of copy number variations and translocations in cancer cells from Hi-C data.

Authors:  Abhijit Chakraborty; Ferhat Ay
Journal:  Bioinformatics       Date:  2018-01-15       Impact factor: 6.937

5.  Loss of the wild-type allele contributes to myeloid expansion and disease aggressiveness in FLT3/ITD knockin mice.

Authors:  Li Li; Emily Bailey; Sarah Greenblatt; David Huso; Donald Small
Journal:  Blood       Date:  2011-09-08       Impact factor: 22.113

6.  Assessment of the frequency of allelic imbalance in human tissue using a multiplex polymerase chain reaction system.

Authors:  Christopher M Heaphy; William C Hines; Kimberly S Butler; Christina M Haaland; Glenroy Heywood; Edgar G Fischer; Marco Bisoffi; Jeffrey K Griffith
Journal:  J Mol Diagn       Date:  2007-04       Impact factor: 5.568

7.  Construction and application of a zebrafish array comparative genomic hybridization platform.

Authors:  Jennifer L Freeman; Craig Ceol; Hui Feng; David M Langenau; Cassandra Belair; Howard M Stern; Anhua Song; Barry H Paw; A Thomas Look; Yi Zhou; Leonard I Zon; Charles Lee
Journal:  Genes Chromosomes Cancer       Date:  2009-02       Impact factor: 5.006

8.  Genomic events associated with progression of pleural malignant mesothelioma.

Authors:  Sergey V Ivanov; Jeremy Miller; Robert Lucito; Chunlao Tang; Alla V Ivanova; Jianming Pei; Michele Carbone; Christina Cruz; Amanda Beck; Craig Webb; Daisuke Nonaka; Joseph R Testa; Harvey I Pass
Journal:  Int J Cancer       Date:  2009-02-01       Impact factor: 7.396

9.  Genome-wide copy number profiling on high-density bacterial artificial chromosomes, single-nucleotide polymorphisms, and oligonucleotide microarrays: a platform comparison based on statistical power analysis.

Authors:  Jayne Y Hehir-Kwa; Michael Egmont-Petersen; Irene M Janssen; Dominique Smeets; Ad Geurts van Kessel; Joris A Veltman
Journal:  DNA Res       Date:  2007-03-15       Impact factor: 4.458

10.  Gene dosage, expression, and ontology analysis identifies driver genes in the carcinogenesis and chemoradioresistance of cervical cancer.

Authors:  Malin Lando; Marit Holden; Linn C Bergersen; Debbie H Svendsrud; Trond Stokke; Kolbein Sundfør; Ingrid K Glad; Gunnar B Kristensen; Heidi Lyng
Journal:  PLoS Genet       Date:  2009-11-13       Impact factor: 5.917

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.