Comparative gene-based in silico analysis of transcriptomes in different bovine tissues and (or) organs.
A gene-based approach was used to annotate 322,168 cattle expressed sequence tags (ESTs) based on human genes in order to census the transcriptomes, analyze their expression similarities, and identify genes preferentially expressed in different bovine tissues and (or) organs. Of the 34,157 human coding genes used in a standalone BLAST search, 14,928 could be matched with provisional orthologous sequences in a total of 230,135 bovine ESTs. The remaining 92,033 bovine ESTs were estimated to represent an additional 5970 genes in cattle. On average, approximately 8600 genes were estimated to be expressed in a single tissue and (or) organ and 13,000 in a pooled tissue library. On the basis of the estimated numbers of genes, no more than 3% of genes would be missed when approximately 34,000 ESTs were sequenced from a single tissue and (or) organ library and approximately 40,000 ESTs from a pooled source, respectively. Cluster analyses of the gene expression patterns among 12 single tissues and (or) organs in cattle revealed that their expression similarities would depend on physiological functions. In addition, a total of 1502 genes were identified as preferentially expressed genes in these 12 single tissues and (or) organs with LOD (logarithm of the odds, base 10) > or = 3.0. Therefore, our study provides some insights for further investigating the developmental and functional relations of various tissues and organs in mammals.
Jiang
Zhihua
Z
Department of Animal Sciences, Washington State University, Pullman, WA 99164, USA. jiangz@wsu.edu
Wu
Xiao-Lin
XL
Garcia
Matthew D
MD
Griffin
Kirsten B
KB
Michal
Jennifer J
JJ
Ott
Troy L
TL
Gaskins
Charles T
CT
Wright
Raymond W
RW
D000818:Animals; D002417:Cattle; D002874:Chromosome Mapping; D016000:Cluster Analysis; D019295:Computational Biology; D019992:Databases as Topic; D020224:Expressed Sequence Tags; D005786:Gene Expression Regulation; D015723:Gene Library; D006801:Humans; D008126:Lod Score; D008957:Models, Genetic; D015233:Models, Statistical; D010802:Phylogeny; D020543:Proteome; D012333:RNA, Messenger / Q000378:metabolism*; D013997:Time Factors; D014018:Tissue Distribution; D014158:Transcription, Genetic
D020543:Proteome; D012333:RNA, Messenger