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

来源：

JOURNAL OF IMMUNOLOGICAL METHODS | 2001年 / 250卷 / 1-2期

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

页码：15 / 28

页数：14

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