Probability (GAS) of Function in Spermatogenesis |
0.979461085
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. A cDNA encoding a novel zinc finger protein has been isolated from a mouse T-cell leukemia line on the basis of its expression of a Ly-1 epitope in a lambda gt11 library. The putative gene was mapped on mouse chromosome 1, closely linked to Idh-1, but not linked to the Ly-1 (CD5) gene. The cDNA is therefore named Ly-1 antibody reactive clone (LYAR). The putative polypeptide encoded by the cDNA consists of 388 amino acids with a zinc finger motif and three copies of nuclear localization signals. Antibodies raised against a LYAR fusion protein reacted with a protein of 45 kD on Western blots and by immunoprecipitation. Immunolocalization indicated that LYAR was present predominantly in the nucleoli. The LYAR mRNA was not detected in brain, thymus, bone marrow, liver, heart, and muscle. Low levels of LYAR mRNA were detected in kidney and spleen. However, the LYAR gene was expressed at very high levels in immature spermatocytes in testis. The LYAR mRNA is present at high levels in early embryos and preferentially in fetal liver and fetal thymus. A number of B- and T-cell leukemic lines expressed LYAR at high levels, although it was not detectable in bone marrow and thymus. During radiation-induced T-cell leukemogenesis, high levels of LYAR were expressed in preleukemic thymocytes and in acute T leukemia cells. Fibroblast cells overexpressing the LYAR cDNA from a retrovirus vector, though not phenotypically transformed in vitro, had increased ability to form tumors in nu/nu mice. Therefore, LYAR may function as a novel nucleolar oncoprotein to regulate cell growth. PMID: [8491376]
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. Prophase I of male meiosis during early spermatogenesis involves dynamic chromosome segregation processes, including synapsis, meiotic recombination and cohesion. Genetic defects in the genes that participate in these processes consistently cause reproduction failure in mice. To identify candidate genes responsible for infertility in humans, we performed gene expression profiling of mouse spermatogenic cells undergoing meiotic prophase I. Cell fractions enriched in spermatogonia, leptotene/zygotene spermatocytes or pachytene spermatocytes from developing mouse testis were separately isolated by density gradient sedimentation and subjected to microarray analysis. A total of 726 genes were identified that were upregulated in leptotene/zygotene spermatocytes. To evaluate the screening efficiency for meiosis-specific genes, we randomly selected 12 genes from this gene set and characterized each gene product using reverse transcription (RT)-PCR of RNA from gonadal tissues, in situ hybridization on testicular tissue sections and subcellular localization analysis of the encoded protein. Four of the 12 genes were confirmed as genes expressed in meiotic stage and 2 of these 4 genes were novel, previously uncharacterized genes. Among the three confirmation methods that were used, RT-PCR appeared to be the most efficient method for further screening. These 726 candidates for human infertility genes might serve as a useful resource for next-generation sequencing combined with exon capture by microarray. PMID: [20339383]
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