A bioinformatic strategy to rapidly characterize cDNA libraries.
BACKGROUND
Complementary DNA libraries can define the genetic constituents of specific cells and/or tissues. Their sequencing will illuminate the transcriptome but it is a monumental task requiring considerable resources.


RESULTS
We have employed a computational search in conjunction with a microarray-based strategy to alleviate the impediments of deriving a consensus of records that describe testis gene expression. This strategy identified 5681 unique testes-expressed genes of which 3265 were previously portrayed in the UniGene database. Interestingly, a total of 2416 novel testes-expressed genes were identified. This clearly demonstrates that microarrays can be used to rapidly discover a large number of new transcripts.
Department of Obstetrics and Gynecology, Center for Molecular Medicine and Genetics, and Institute for Scientific Computing, Wayne State University, USA.
G Charles
GC
Ostermeier
David J
DJ
Dix
Stephen A
SA
Krawetz
D000293:Adolescent; D000328:Adult; D016000:Cluster Analysis; D030561:Databases, Nucleic Acid; D015870:Gene Expression; D020869:Gene Expression Profiling / Q000379:methods*; D005786:Gene Expression Regulation; D015723:Gene Library; D006801:Humans; D008297:Male; D008875:Middle Aged; D009693:Nucleic Acid Hybridization / Q000379:methods; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*; D012313:RNA / Q000302:isolation & purification; D013737:Testis / Q000737:chemistry
D012313:RNA