Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: EC:2.3.1.108 (TAT)
 2,389 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

A method is described for the quantitation of total human and male DNA. Q-TAT utilizes end-point, multiplex polymerase chain reaction (PCR) amplification of the amelogenin and SRY loci to quantify DNA and incorporates a cloned nonhuman template to detect PCR inhibition. Standard curves of fluorescence from amelogenin or SRY amplicons were generated from amplification of known amounts of NIST traceable SRM-female or SRM-male DNA. Curves showed good linearity up to 500 pg of SRM-template (R(2) > 0.99) and reliably estimated total and male DNA content in casework samples. The nonhuman pRL(null) template included in each PCR was a sensitive indicator of known PCR inhibitors including EDTA, hemin, blue denim dye, and humic acid. Finally, the SRY amplicon was a sensitive indicator of male DNA and, in mixtures, could reliably estimate male DNA present in an excess of female DNA. The Q-TAT multiplex is a reliable quantitation method for forensic DNA typing.
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PMID:Molecular assay for screening and quantifying DNA in biological evidence: the modified Q-TAT assay. 2038 33

Codon usage bias (CUB) is extensively found in a wide variety genomes and it is mostly affected by mutation pressure and natural selection. Analysis of CUB helps in studying the evolutionary features of a genome. The SRY gene plays an important role in male reproductive organ and a good candidate to study the evolutionary forces, since little work was reported earlier on this gene. We used bioinformatic methods to analyze the protein-coding sequences of SRY gene in 172 different mammalian species to understand the patterns of codon usage and the evolutionary forces acting on it. We found that the codon bias of SRY gene varies widely across mammals. Relative synonymous codon usage (RSCU) value revealed that the codons such as TCG, CCG, CAT, ATT, ACT, GCT, GTT, GCG, GGG and GGT were over-represented. Correspondence analysis indicated that the distribution of codons was more close to the axes indicating that compositional constraints might correlate to codon bias. Z-score analysis on RSCU values of codons identified a set of 11 codons viz. TCT, TTT, CTA, CTC, TAT, CAG, CGT, ATA, ACC, AAT and GTA which differed significantly at p<0.01 between 5% high and low gene expression datasets. Further, it was evident from the neutrality plot that GC12 was influenced by both mutation pressure and natural selection. From the study we concluded that natural selection played a dominant role, but mutational pressure played a minor role in the codon usage pattern of SRY gene across mammals.
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PMID:Factors affecting the codon usage bias of SRY gene across mammals. 2894 26