HIGH-DENSITY CDNA FILTER ANALYSIS - A NOVEL-APPROACH FOR LARGE-SCALE, QUANTITATIVE-ANALYSIS OF GENE-EXPRESSION

被引:93
|
作者
ZHAO, ND
HASHIDA, H
TAKAHASHI, N
MISUMI, Y
SAKAKI, Y
机构
[1] UNIV TOKYO,CTR HUMAN GENOME,INST MED SCI,MINATO KU,TOKYO 108,JAPAN
[2] UNIV TOKYO,INST BRAIN RES,DEPT NEUROL,BUNKYO KU,TOKYO 113,JAPAN
[3] FUKUOKA UNIV,SCH MED,DEPT BIOCHEM,JONAN KU,FUKUOKA 81401,JAPAN
关键词
HYBRIDIZATION; GENE EXPRESSION PROFILES; ADULT BRAIN; FETAL BRAIN;
D O I
10.1016/0378-1119(95)00023-Y
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
In order to analyze the expression profiles of a large number of genes in the tissues (or cells) of interest, and to identify the genes preferentially expressed in the tissues, we have developed a large-scale gene expression analysis system. It is based on the hybridization of the mRNAs from the tissues with a high-density cDNA filter followed by the quantitative measurement of the amount of the hybridized mRNA on each cDNA spot. By employing a high-performance bioimaging analyzer, the system allowed us to compare the expression profiles of thousands of genes (cDNAs) simultaneously with a sensitivity comparable to conventional Northern blotting analysis. By this system (called high-density cDNA filter analysis or HDCFA), the expression profiles of 2505 cloned human brain cDNAs (genes) were monitored. Through the comparison of the expression profiles of these cDNAs in the adult brain, fetal brain and adult liver, about one half of these brain cDNAs (1239 clones) were identified as the candidates which were expressed preferentially in the brain. Among these, 408 and 288 clones were found to be preferentially expressed in the adult and fetal brain, respectively. The results have shown that the system may be widely applicable for analysis of the gene expression profiles of various tissues on a large scale.
引用
收藏
页码:207 / 213
页数:7
相关论文
共 50 条
  • [31] GECKO: a complete large-scale gene expression analysis platform
    Theilhaber, J
    Ulyanov, A
    Malanthara, A
    Cole, J
    Xu, DP
    Nahf, R
    Heuer, M
    Brockel, C
    Bushnell, S
    BMC BIOINFORMATICS, 2004, 5 (1)
  • [32] A new tool for rheumatology:: large-scale analysis of gene expression
    Lequerré, T
    Coulouarn, C
    Derambure, C
    Lefebvre, G
    Vittecoq, O
    Daveau, M
    Salier, JP
    Le Loët, X
    JOINT BONE SPINE, 2003, 70 (04) : 248 - 256
  • [33] Large-scale analysis of gene expression: Methods and application to the kidney
    Cheval, L
    Virlon, B
    Billon, E
    Aude, JC
    Elalouf, JM
    Doucet, A
    JOURNAL OF NEPHROLOGY, 2002, 15 : S170 - S183
  • [34] Large-scale gene expression analysis in molecular target discovery
    Orr, MS
    Scherf, U
    LEUKEMIA, 2002, 16 (04) : 473 - 477
  • [35] YMD: A microarray database for large-scale gene expression analysis
    Cheung, KH
    White, K
    Hager, J
    Gerstein, M
    Reinke, V
    Nelson, K
    Masiar, P
    Srivastava, R
    Li, YL
    Li, J
    Zhao, HY
    Li, JM
    Allison, DB
    Snyder, M
    Miller, P
    Williams, K
    AMIA 2002 SYMPOSIUM, PROCEEDINGS: BIOMEDICAL INFORMATICS: ONE DISCIPLINE, 2002, : 140 - 144
  • [36] Large-scale gene expression analysis in molecular target discovery
    MS Orr
    U Scherf
    Leukemia, 2002, 16 : 473 - 477
  • [37] Long Range SigFox Communication Protocol Scalability Analysis Under Large-Scale, High-Density Conditions
    Lavric, Alexandru
    Petrariu, Adrian, I
    Popa, Valentin
    IEEE ACCESS, 2019, 7 : 35816 - 35825
  • [38] QUANTITATIVE-ANALYSIS OF RENIN GENE-EXPRESSION IN EXTRARENAL TISSUES BY POLYMERASE CHAIN-REACTION METHOD
    IWAI, N
    INAGAMI, T
    JOURNAL OF HYPERTENSION, 1992, 10 (08) : 717 - 724
  • [39] QUANTITATIVE-ANALYSIS OF MYELIN PROTEIN GENE-EXPRESSION DURING DEVELOPMENT IN THE RAT SCIATIC-NERVE
    STAHL, N
    HARRY, J
    POPKO, B
    MOLECULAR BRAIN RESEARCH, 1990, 8 (03): : 209 - 212
  • [40] LARGE-SCALE ROTATING FILTER PERFUSION SYSTEM FOR HIGH-DENSITY GROWTH OF MAMMALIAN SUSPENSION-CULTURES
    TOLBERT, WR
    FEDER, J
    KIMES, RC
    IN VITRO-JOURNAL OF THE TISSUE CULTURE ASSOCIATION, 1981, 17 (10): : 885 - 890