• Title/Summary/Keyword: TSPY gene

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Use of the Non-electrophoretic Method to Detect Testis Specific Protein Gene for Sexing in Preimplantation Bovine Embryos

  • Huang, Jinming;You, Wei;Wu, Naike;Tan, Xiuwen
    • Asian-Australasian Journal of Animal Sciences
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    • v.20 no.6
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    • pp.866-871
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    • 2007
  • Testis-specific protein (TSPY) is a Y-specific gene, with up to 200 copy numbers in bulls. In order to make bovine embryo sexing under farm condition more feasible, the possibility of using a non-electrophoretic method to detect the TSPY gene for sexing bovine early embryos was examined. Primers were designed to amplify a portion of the TSPY gene and a common gene as an internal control primer. PCR optimization was carried out using a DNA template from bovine whole blood. Furthermore, embryo samples were diagnosed by this method and the sexing results were contrasted with those of the Loop-Mediated Isothermal Amplification (LAMP) method. The results showed that TSPY was as reliable a sexing method as LAMP. Forty-three morula and blastocyst embryos collected from superovulated donor dairy cattle were sexed by this method, and twenty-one embryos judged to be female embryos were transferred non-surgically to recipients 6 to 8 days after natural estrus. Out of 21 recipients, 9 were pregnant (42.86%) and all delivered female calves. The results showed that the sex predicted by this protocol was 100% accurate. In conclusion, the TSPY gene was a good male specific marker and indicated that a non-electrophoretic method was feasible and accurate to detect the TSPY gene for sexing preimplantation bovine embryos.

The Arg and Lys-Rich Motif in the TSPY Gene of Humans and Japanese Monkeys (Macaca fuscata) is Conserved in Various Primate Species

  • Kim, Heui-Soo;Takashi Kageyama;Osamu Takenaka
    • Journal of Life Science
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    • v.10 no.1
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    • pp.37-39
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    • 2000
  • Testis-specific protein Y(TSPY) is thought to play an important role during spermatogenesis in primates. The Arg and Lys-rich region of TSPY was implicated as a potential DNA binding site in the human and Japanese monkey. In the study, we investigated this further through looking at the putative amino acid sequences of Arg and Lys-rich region of TSPY gene from seven species of gibbons, five species of Old World monkeys and five species of New World monkeys. A comparison with those of the human and Japanese monkey revealed that the Arg and Lys-rich motif was hightly conserved in various primates. This finding suggests that a possible role for the Arg and Lys-rich motif in primate TSPY is DNA recognition. The functional implications for TSPY are discussed in the light of this and previous findings.

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Non-negligible Occurrence of Errors in Gender Description in Public Data Sets

  • Kim, Jong Hwan;Park, Jong-Luyl;Kim, Seon-Young
    • Genomics & Informatics
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    • v.14 no.1
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    • pp.34-40
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    • 2016
  • Due to advances in omics technologies, numerous genome-wide studies on human samples have been published, and most of the omics data with the associated clinical information are available in public repositories, such as Gene Expression Omnibus and ArrayExpress. While analyzing several public datasets, we observed that errors in gender information occur quite often in public datasets. When we analyzed the gender description and the methylation patterns of gender-specific probes (glucose-6-phosphate dehydrogenase [G6PD], ephrin-B1 [EFNB1], and testis specific protein, Y-linked 2 [TSPY2]) in 5,611 samples produced using Infinium 450K HumanMethylation arrays, we found that 19 samples from 7 datasets were erroneously described. We also analyzed 1,819 samples produced using the Affymetrix U133Plus2 array using several gender-specific genes (X (inactive)-specific transcript [XIST], eukaryotic translation initiation factor 1A, Y-linked [EIF1AY], and DEAD [Asp-Glu-Ala-Asp] box polypeptide 3, Y-linked [DDDX3Y]) and found that 40 samples from 3 datasets were erroneously described. We suggest that the users of public datasets should not expect that the data are error-free and, whenever possible, that they should check the consistency of the data.