Comparing functional genomic datasets: lessons from DNA. microarray analyses of host-pathogen interactions

Citation
M. Diehn et Da. Relman, Comparing functional genomic datasets: lessons from DNA. microarray analyses of host-pathogen interactions, CURR OPIN M, 4(1), 2001, pp. 95-101
Citations number
26
Categorie Soggetti
Biotecnology & Applied Microbiology",Microbiology
Journal title
CURRENT OPINION IN MICROBIOLOGY
ISSN journal
13695274 → ACNP
Volume
4
Issue
1
Year of publication
2001
Pages
95 - 101
Database
ISI
SICI code
1369-5274(200102)4:1<95:CFGDLF>2.0.ZU;2-#
Abstract
Functional genomic technologies such as high density DNA microarrays allow biologists to study the structure and behavior of thousands of genes in a s ingle experiment. One of the fields in which microarrays have had an increa singly important impact is host-pathogen interactions. Early investigations in this area over the past two years not only emphasize the utility of thi s approach, but also highlight the stereotyped gene expression responses of different host cells to diverse infectious stimuli, and the potential valu e of broad dataset comparisons in revealing fundamental features of innate immunity. The comparative analysis of recently published datasets involving human gene expression responses to two bacterial respiratory pathogens ill ustrates many of these points. Comparisons between these large, highly para llel sets of experimental observations also emphasize important technical a nd experimental design issues as future challenges.