Literature DB >> 20368836

Microarray applications in cancer research.

Il-Jin Kim1, Hio Chung Kang, Jae-Gahb Park.   

Abstract

DNA microarray technology permits simultaneous analysis of thousands of DNA sequences for genomic research and diagnostics applications. Microarray technology represents the most recent and exciting advance in the application of hybridization-based technology for biological sciences analysis. This review focuses on the classification (oligonucleotide vs. cDNA) and application (mutation-genotyping vs. gene expression) of microarrays. Oligonucleotide microarrays can be used both in mutation-genotyping and gene expression analysis, while cDNA microarrays can only be used in gene expression analysis. We review microarray mutation analysis, including examining the use of three oligonucleotide microarrays developed in our laboratory to determine mutations in RET, beta-catenin and K-ras genes. We also discuss the use of the Affymetrix GeneChip in mutation analysis. We review microarray gene expression analysis, including the classifying of such studies into four categories: class comparison, class prediction, class discovery and identification of biomarkers.

Entities:  

Keywords:  DNA chip; Oligonucleotide microarrays; cDNA microarrays; cancer research

Year:  2004        PMID: 20368836      PMCID: PMC2843894          DOI: 10.4143/crt.2004.36.4.207

Source DB:  PubMed          Journal:  Cancer Res Treat        ISSN: 1598-2998            Impact factor:   4.679


  48 in total

1.  Universal DNA array detection of small insertions and deletions in BRCA1 and BRCA2.

Authors:  R Favis; J P Day; N P Gerry; C Phelan; S Narod; F Barany
Journal:  Nat Biotechnol       Date:  2000-05       Impact factor: 54.908

Review 2.  Expression profiling in cancer using cDNA microarrays.

Authors:  J Khan; L H Saal; M L Bittner; Y Chen; J M Trent; P S Meltzer
Journal:  Electrophoresis       Date:  1999-02       Impact factor: 3.535

3.  Relationship of Ki-ras mutations in colon cancers to tumor location, stage, and survival: a population-based study.

Authors:  W S Samowitz; K Curtin; D Schaffer; M Robertson; M Leppert; M L Slattery
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2000-11       Impact factor: 4.254

4.  DNA microarray analysis of the correlation between gene expression patterns and acquired resistance to 5-FU/cisplatin in gastric cancer.

Authors:  Hark Kyun Kim; Il Ju Choi; Hee Sung Kim; Ju Han Kim; Eugene Kim; In Sook Park; Jong Ho Chun; In-Hoo Kim; Il-Jin Kim; Hio Chung Kang; Jae-Hyun Park; Jae-Moon Bae; Jin Soo Lee; Jae-Gahb Park
Journal:  Biochem Biophys Res Commun       Date:  2004-04-09       Impact factor: 3.575

5.  Strategies for mutational analysis of the large multiexon ATM gene using high-density oligonucleotide arrays.

Authors:  J G Hacia; B Sun; N Hunt; K Edgemon; D Mosbrook; C Robbins; S P Fodor; D A Tagle; F S Collins
Journal:  Genome Res       Date:  1998-12       Impact factor: 9.043

6.  K-ras mutation detection by hybridization to a polypyrrole DNA chip.

Authors:  E Lopez-Crapez; T Livache; J Marchand; J Grenier
Journal:  Clin Chem       Date:  2001-02       Impact factor: 8.327

7.  Molecular classification of cutaneous malignant melanoma by gene expression profiling.

Authors:  M Bittner; P Meltzer; Y Chen; Y Jiang; E Seftor; M Hendrix; M Radmacher; R Simon; Z Yakhini; A Ben-Dor; N Sampas; E Dougherty; E Wang; F Marincola; C Gooden; J Lueders; A Glatfelter; P Pollock; J Carpten; E Gillanders; D Leja; K Dietrich; C Beaudry; M Berens; D Alberts; V Sondak
Journal:  Nature       Date:  2000-08-03       Impact factor: 49.962

8.  Development and applications of a beta-catenin oligonucleotide microarray: beta-catenin mutations are dominantly found in the proximal colon cancers with microsatellite instability.

Authors:  Il-Jin Kim; Hio Chung Kang; Jae-Hyun Park; Yong Shin; Ja-Lok Ku; Seok-Byung Lim; So Yeon Park; Seung-Yong Jung; Hark Kyun Kim; Jae-Gahb Park
Journal:  Clin Cancer Res       Date:  2003-08-01       Impact factor: 12.531

Review 9.  Advantages and limitations of microarray technology in human cancer.

Authors:  Giuseppe Russo; Charles Zegar; Antonio Giordano
Journal:  Oncogene       Date:  2003-09-29       Impact factor: 9.867

Review 10.  Diagnostic and prognostic prediction using gene expression profiles in high-dimensional microarray data.

Authors:  R Simon
Journal:  Br J Cancer       Date:  2003-11-03       Impact factor: 7.640

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.