Analysis of cellular adhesion by microarray expression profiling

被引:7
|
作者
Brenner, V [1 ]
Lindauer, K [1 ]
Parkar, A [1 ]
Fordham, J [1 ]
Hayes, I [1 ]
Stow, M [1 ]
Gama, R [1 ]
Pollock, K [1 ]
Jupp, R [1 ]
机构
[1] Aventis Pharmaceut, Dagenham RM10 7XS, Essex, England
关键词
eosinophil; microarray; cell adhesion; tissue distribution; data normalisation;
D O I
10.1016/S0022-1759(01)00303-9
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Microarrays of oligonucleotides or cDNAs can be used to establish the expression profiles of numerous genes in a single experiment. We have established a microarray platform to identify genes in a number of different pathological conditions. particularly those with an inflammation component. This platform utilised the output of an eosinophil sequencing project in which 1069 sequences were identified that were not represented in the public domain. An eosinophil model cell line, AML14.3D10, was used to investigate cell adhesion. The transcription profile of adhered and non-adhered AML 14.3D10 cells was shown to be both technically and biologically reproducible. A number of genes were found differentially expressed in the adhered vs. non-adhered populations. in the adhered population, the expression of these genes was restricted compared to brain, lung, kidney and especially bone marrow. However, the differentially regulated genes were not among those genes most restricted to eosinophils. We discuss the implications of transcription profiling on gene annotation and its potential utility for the identification of targets for drug intervention. (C) 2001 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:15 / 28
页数:14
相关论文
共 50 条
  • [21] Alternatives to global microarray analysis for gene expression profiling in psychiatric disorders
    Thomas, EA
    Keriakous, D
    Sutcliffe, JG
    [J]. JOURNAL OF NEUROCHEMISTRY, 2005, 94 : 156 - 156
  • [22] Gene Expression Profiling in Osteoclast Precursors by Insulin Using Microarray Analysis
    Kim, Hong Sung
    Lee, Na Kyung
    [J]. MOLECULES AND CELLS, 2014, 37 (11) : 827 - 832
  • [23] Gene expression profiling in inflammatory skin disease by cDNA microarray analysis
    King, H
    Pothiraj, R
    Sinha, A
    [J]. JOURNAL OF INVESTIGATIVE DERMATOLOGY, 2001, 117 (02) : 527 - 527
  • [24] Gene function analysis in osteosarcoma based on microarray gene expression profiling
    Zhao, Liang
    Zhang, Jinghua
    Tan, Hongyu
    Wang, Weidong
    Liu, Yilin
    Song, Ruipeng
    Wang, Limin
    [J]. INTERNATIONAL JOURNAL OF CLINICAL AND EXPERIMENTAL MEDICINE, 2015, 8 (07): : 10401 - U1667
  • [25] Gene expression profiling in pediatric brain tumors using microarray analysis
    Zakharkin, S
    Page, G
    Allison, G
    Fuller, C
    Reddy, A
    Mapstone, T
    Benos, D
    [J]. FASEB JOURNAL, 2004, 18 (08): : C101 - C102
  • [26] Construction and application of a microarray for profiling microRNA expression
    Luo Ming-Yong
    Tian Zhi-Gang
    Xu Zhi
    Zhang Liang
    Wang Ying-Xiong
    Cheng Jing
    [J]. PROGRESS IN BIOCHEMISTRY AND BIOPHYSICS, 2007, 34 (01) : 31 - 41
  • [27] Microarray gene expression profiling in meningiomas and schwannomas
    Martinez-Glez, V.
    Franco-Hernandez, C.
    Rey, J. A.
    [J]. CURRENT MEDICINAL CHEMISTRY, 2008, 15 (08) : 826 - 833
  • [28] Mining microarray expression data by literature profiling
    Damien Chaussabel
    Alan Sher
    [J]. Genome Biology, 3 (10):
  • [29] Microarray expression profiling resources for plant genomics
    Rensink, WA
    Buell, CR
    [J]. TRENDS IN PLANT SCIENCE, 2005, 10 (12) : 603 - 609
  • [30] Gene expression profiling by DNA microarray technology
    Iida, K
    Nishimura, I
    [J]. CRITICAL REVIEWS IN ORAL BIOLOGY & MEDICINE, 2002, 13 (01) : 35 - 50