Partial genome scale analysis of gene expression in human adipose tissue using DNA array
Artikel i vetenskaplig tidskrift, 2000

OBJECTIVE: Large scale analysis of gene expression in adipose tissue provides a basis for the identification of novel candidate genes involved in the pathophysiology of obesity. Our goal was to explore gene expression in human adipose tissue at a partial genome scale using DNA array. RESEARCH METHODS AND PROCEDURES: Labeled cDNA, derived from human adipose tissue poly(A+) RNA, was hybridized to a DNA array containing over 18,000 human expressed sequence-tagged (EST) clones. The results were analyzed by database searches. RESULTS: Homology searches of the 300 EST clones with highest hybridization signals revealed that 145 contained DNA sequences identical to known genes and 79 could be linked to UniGene clusters. Of the 145 identified genes, 136 were nonredundant and subsequently characterized with respect to function and chromosomal localization by searching MEDLINE, UniGene, GeneMap, OMIM, SWISS-PROT, the Genome Database, and the Location Data Base. The identified genes were grouped according to their putative functions; cell/organism defense (9.6%), cell division (5.1%), cell signaling/communication (19.8%), cell structure/motility (12.5%), gene/ protein expression (16.9%), metabolism (16.2%), and unclassified (19.8%). Less than 50% of these genes have previously been reported to be expressed in adipose tissue. The chromosomal localization of 268 genes strongly expressed in adipose tissue showed that their relative abundance was significantly increased on chromosomes 11, 19, and 22 compared to the expected distribution of the same number of random genes. DISCUSSION: Our study resulted in the identification of numerous genes previously not reported to be expressed in adipose tissue. These results suggest that DNA array is a powerful tool in the search for novel regulatory pathways within adipose tissue on a scale that is not possible using conventional methods.


Britt Gabrielsson

Göteborgs universitet

Björn Carlsson

Göteborgs universitet

Lena M S Carlsson

Göteborgs universitet

Obesity Research

1071-7323 (ISSN) 1550-8528 (eISSN)

Vol. 8 5 374-84


Endokrinologi och diabetes

Klinisk medicin

Biokemi och molekylärbiologi

Bioinformatik och systembiologi



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