Probability (GAS) of Function in Spermatogenesis |
0.00549578
The probability was calculated by GAS algorithm, ranging from 0 to 1. The closer it is to 1, the more possibly it functions in spermatogenesis. |
Abstract of related literatures |
1. The family of approximately 16 genes encoding the mouse ribosomal protein L32 has been characterized by an analysis of a representative set of genomic clones. Surprisingly, this family contains only a single expressed intron-containing gene. This gene, termed rpL32 , has been completely sequenced and found to possess certain novel features including the presence in two of its introns of a sequence with high homology to the 5' end of U1 snRNA and a 5' terminal region exceptionally rich in pyrimidines. Most of the other members of the L32 family appear to be processed genes, some of which are identical or very similar to the rpL32 gene, except for the lack of introns. One unmutated gene was found to be integrated 28 nucleotides downstream of a canonical TATA box. However, despite this feature, the gene does not seem to be expressed, as judged by its extent of methylation compared to the expressed rpL32 gene. PMID: [6327068]
2. This study describes comprehensive polling of transcription start and termination sites and analysis of previously unidentified full-length complementary DNAs derived from the mouse genome. We identify the 5' and 3' boundaries of 181,047 transcripts with extensive variation in transcripts arising from alternative promoter usage, splicing, and polyadenylation. There are 16,247 new mouse protein-coding transcripts, including 5154 encoding previously unidentified proteins. Genomic mapping of the transcriptome reveals transcriptional forests, with overlapping transcription on both strands, separated by deserts in which few transcripts are observed. The data provide a comprehensive platform for the comparative analysis of mammalian transcriptional regulation in differentiation and development. PMID: [16141072]
3. The National Institutes of Health's Mammalian Gene Collection (MGC) project was designed to generate and sequence a publicly accessible cDNA resource containing a complete open reading frame (ORF) for every human and mouse gene. The project initially used a random strategy to select clones from a large number of cDNA libraries from diverse tissues. Candidate clones were chosen based on 5'-EST sequences, and then fully sequenced to high accuracy and analyzed by algorithms developed for this project. Currently, more than 11,000 human and 10,000 mouse genes are represented in MGC by at least one clone with a full ORF. The random selection approach is now reaching a saturation point, and a transition to protocols targeted at the missing transcripts is now required to complete the mouse and human collections. Comparison of the sequence of the MGC clones to reference genome sequences reveals that most cDNA clones are of very high sequence quality, although it is likely that some cDNAs may carry missense variants as a consequence of experimental artifact, such as PCR, cloning, or reverse transcriptase errors. Recently, a rat cDNA component was added to the project, and ongoing frog (Xenopus) and zebrafish (Danio) cDNA projects were expanded to take advantage of the high-throughput MGC pipeline. PMID: [15489334]
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