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1.
Genomics ; 87(6): 681-92, 2006 Jun.
Article in English | MEDLINE | ID: mdl-16458478

ABSTRACT

Computational analyses have identified the widespread occurrence of antisense transcripts in the human and the mouse genome. However, the structure and the origin of the majority of the antisense transcripts are unknown. The presence of antisense transcripts for 19 of 64 differentially expressed genes during mouse spermatogenesis was demonstrated with orientation-specific RT-PCR. These antisense transcripts were derived from a wide variety of origins, including processed sense transcripts, intronic and exonic sequences of a single gene or multiple genes, intergenic sequences, and pseudogenes. They underwent normal and alternative splicing, 5' capping, and 3' polyadenylation, similar to the sense transcripts. There were also antisense transcripts that were not capped and/or polyadenylated. The testicular levels of the sense transcripts were higher than those of the antisense transcripts in all cases, while the relative expression in nontesticular tissues was variable. Thus antisense transcripts have complex origins and structures and the sense and antisense transcripts can be regulated independently.


Subject(s)
RNA, Antisense/genetics , Spermatogenesis/genetics , Amino Acid Sequence , Animals , Base Sequence , Cloning, Molecular , Female , Gene Expression Regulation, Developmental , Humans , Male , Mice , Microtubule-Associated Proteins/genetics , Molecular Sequence Data , Nuclear Proteins/genetics , Protamines/genetics , Protein Precursors/genetics , Reverse Transcriptase Polymerase Chain Reaction , Transcription, Genetic , Ubiquitins/genetics , t-Complex Genome Region
2.
Mol Cell Endocrinol ; 250(1-2): 8-19, 2006 May 16.
Article in English | MEDLINE | ID: mdl-16413108

ABSTRACT

Serial analysis of gene expression (SAGE) provides an alternative with additional advantages to microarrays for studying gene expression during spermatogenesis. The digitized transcriptome provided by SAGE of purified mouse germ cells identified 27,504 species of transcripts expressed in type A spermatogonia, pachytene spermatocytes, and round spermatids. Over 2700 of these transcripts were novel. Computational analyses allowed the identification of clusters of co-regulated genes, cell-specific promoter modules, cell-specific biological processes, as well as "preferential" biological networks in different cell types. These analyses provided potential drug targets for interference of specific pathways at different stages of spermatogenesis. Analyses of the transcriptomes revealed the prominent role of cytochrome c oxidase in germ cells and suggest a novel role for this enzyme in cytochrome c-mediated apoptosis in spermatogonia. A number of genes were shown to undergo differential splicing during spermatogenesis giving rise to cell-specific splice variants.


Subject(s)
Gene Expression Profiling , Gene Expression Regulation , Spermatogenesis/genetics , Spermatozoa/metabolism , Alternative Splicing/genetics , Animals , Computational Biology , Contraceptive Agents, Male/pharmacology , Electron Transport Complex IV/genetics , Male , Mice , Multigene Family , Oligonucleotide Array Sequence Analysis , Promoter Regions, Genetic , Spermatogenesis/drug effects , Transcription, Genetic
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