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PMID: 15741514 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

Database of mRNA gene expression profiles of multiple human organs.

Genome research ·Vol. 15 ·No. 3 ·2005-03-00 ·Pages 443-50

Son CG, Bilke S, Davis S, Greer BT, Wei JS, Whiteford CC, Chen QR, Cenacchi N, Khan J

Abstract

Genome-wide expression profiling of normal tissue may facilitate our understanding of the etiology of diseased organs and augment the development of new targeted therapeutics. Here, we have developed a high-density gene expression database of 18,927 unique genes for 158 normal human samples from 19 different organs of 30 different individuals using DNA microarrays. We report four main findings. First, despite very diverse sample parameters (e.g., age, ethnicity, sex, and postmortem interval), the expression profiles belonging to the same organs cluster together, demonstrating internal stability of the database. Second, the gene expression profiles reflect major organ-specific functions on the molecular level, indicating consistency of our database with known biology. Third, we demonstrate that any small (i.e., n approximately 100), randomly selected subset of genes can approximately reproduce the hierarchical clustering of the full data set, suggesting that the observed differential expression of >90% of the probed genes is of biological origin. Fourth, we demonstrate a potential application of this database to cancer research by identifying 19 tumor-specific genes in neuroblastoma. The selected genes are relatively underexpressed in all of the organs examined and belong to therapeutically relevant pathways, making them potential novel diagnostic markers and targets for therapy. We expect this database will be of utility for developing rationally designed molecularly targeted therapeutics in diseases such as cancer, as well as for exploring the functions of genes.

MeSH Terms
Cluster Analysis Databases, Nucleic Acid Gene Expression Profiling/statistics & numerical data Humans Oligonucleotide Array Sequence Analysis Organ Specificity Principal Component Analysis RNA, Messenger/genetics
Chemicals
RNA, Messenger
Authors & Affiliations
9 authors, click to expand affiliations / ORCID
Son Chang Gue
Advanced Technology Center, Oncogenomics Section, Pediatric Oncology Branch, National Cancer Institute, National Institutes of Health, Gaithersburg, Maryland 20877, USA.
Bilke Sven
Davis Sean
Greer Braden T
Wei Jun S
Whiteford Craig C
Chen Qing-Rong
Cenacchi Nicola
Khan Javed
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Article Info
Journal
Genome research
Abbr.
Genome Res
ISSN
1088-9051
Published
2005-03-00
Pages
443-50
Language
English
Region
United States
NLM ID
9518021
PMCID
PMC551571
Subset
IM
Grants
NCI NIH HHS · Z01 BC010593-02 · United States
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