Systematic analysis of cDNA microarray-based CGH

被引:1
|
作者
Park, CH
Jeong, HJ
Choi, YH
Kim, SC
Jeong, HC
Park, KH
Lee, GY
Kim, TS
Yang, SW
Ahn, SW
Kim, YS
Rha, SY
Chung, HC [1 ]
机构
[1] Yonsei Univ, Coll Med, Ctr Canc, Canc Metastasis Res Ctr, Seoul 120752, South Korea
[2] Yonsei Univ, Coll Med, Brain Korea Project Med Sci 21, Seoul 120752, South Korea
关键词
cDNA microarray-based CGH; microarray-CGH; gain; loss; amplification; deletion; genomic aberration;
D O I
暂无
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
1001 ;
摘要
cDNA microarray-based CGH (Microarray-CGH) is a useful technique for detecting genomic aberrations with a high resolution. However, the criteria for determining a genomic alteration have not been determined. We evaluated the genome-wide measurement of copy number of each gene in normal gastric and placenta tissues with both sex-matched, direct and sex-mismatched, indirect designs using 17K cDNA microarray. The results revealed the range of genomic copy number of normal tissues to be 03 of the log, ratio (gain > 03, loss <-0.3) in the autosomal genes with direct and indirect designs. The copy number at a gene level from the X chromosomal genes using the direct and indirect sex-mismatched designs was 0.68 of the log, ratio (amplification > 0.68, deletion <-0.68). In summary, the suggested method can be used as a guideline for analysis of genomic aberration using a Microarray-CGH in both direct and indirect designs.
引用
收藏
页码:261 / 267
页数:7
相关论文
共 50 条
  • [31] Microarray-Based Gene Expression Analysis of Hepatocellular Carcinoma
    Maass, Thorsten
    Sfakianakis, Ioannis
    Staib, Frank
    Krupp, Markus
    Galle, Peter R.
    Teufel, Andreas
    CURRENT GENOMICS, 2010, 11 (04) : 261 - 268
  • [32] Sweet tasting chips: microarray-based analysis of glycans
    Hsu, Ku-Lung
    Mahal, Lara K.
    CURRENT OPINION IN CHEMICAL BIOLOGY, 2009, 13 (04) : 427 - 432
  • [33] Microarray-based analysis of gene activity patterns in osteosarcoma
    Anne Forus
    Javed Khan
    Ola Myklebost
    Paul S. Meltzer
    Nature Genetics, 2001, 27 (Suppl 4) : 75 - 75
  • [34] Atherosclerosis prediction by microarray-based DNA methylation analysis
    Chen, Wei-Da
    Song, Ting
    Cao, Qiu-Hong
    Li, Rui
    Wang, Hua
    Chen, Xiu-Bao
    Chen, Ze-Tao
    EXPERIMENTAL AND THERAPEUTIC MEDICINE, 2020, 20 (03) : 2863 - 2869
  • [35] Microarray-based analysis of the Staphylococcus aureus σB regulon
    Bischoff, M
    Dunman, P
    Kormanec, J
    Macapagal, D
    Murphy, E
    Mounts, W
    Berger-Bächi, B
    Projan, S
    JOURNAL OF BACTERIOLOGY, 2004, 186 (13) : 4085 - 4099
  • [36] Virulence signatures: microarray-based approaches to discovery and analysis
    Pannucci, J
    Cai, H
    Pardington, PE
    Williams, E
    Okinaka, RT
    Kuske, CR
    Cary, RB
    BIOSENSORS & BIOELECTRONICS, 2004, 20 (04): : 706 - 718
  • [37] Chromatin immunoprecipitation and microarray-based analysis of protein location
    Lee, Tong Ihn
    Johnstone, Sarah E.
    Young, Richard A.
    NATURE PROTOCOLS, 2006, 1 (02) : 729 - 748
  • [38] Microarray-based analysis of reproductive toxicity induced by xenoestrogens
    Oh, Jung-Hwa
    Park, Han-Jin
    Oh, Moon-Ju
    Kim, Seung Jun
    Park, Se-Myo
    Yoon, Hea Jin
    Cho, Jae-Woo
    Hwang, Seung Yong
    Yoon, Seokjoo
    MOLECULAR & CELLULAR TOXICOLOGY, 2009, 5 (03) : 64 - 64
  • [39] Chromatin immunoprecipitation and microarray-based analysis of protein location
    Tong Ihn Lee
    Sarah E Johnstone
    Richard A Young
    Nature Protocols, 2006, 1 : 729 - 748
  • [40] Antibody microarray-based oncoproteomics
    Borrebaeck, Carl A. K.
    EXPERT OPINION ON BIOLOGICAL THERAPY, 2006, 6 (08) : 833 - 838