NON-HLA GENETIC-FACTORS AND INSULIN-DEPENDENT DIABETES-MELLITUS IN THE JAPANESE - TCRA, TCRB AND TCRG, INS, THY1, CD3D AND ETS1
DISEASE MARKERS
Authors: APARICIO, JMR; WAKISAKA, A; TAKADA, A; MATSUURA, N; YOSHIKI, T
Abstract
Polymorphism of the genes encoding the alpha, beta, and gamma chains of the human T-cell receptor (TCRA, TCRB, and TCRG), insulin gene (INS), and three closely linked polymorphic genes on chromosome 11q23, Thy-1 (THY1), T3-D (CD3D), and c-ets proto oncogene (ETSl) were investigated among 56 unrelated patients with insulin-dependent diabetes mellitus (IDDM) and 48 healthy controls. Only eight of the 17 enzymes examined revealed restriction fragment length polymorphism (RFLP), with the use of TCRA, TCRB, and TCRG. No significant association was observed. Polymorphism after BglI, SstI, and TaqI digestion was observed for the INS gene. In consideration of the three classes within the insulin-gene-linked DNA polymorphism alleles, Al and more rarely A2 alleles were found, but with no significant frequencies. THYl and CD3D genes were polymorphic after MspI digestion but no significant association was observed. Conversely, the ETSl gene showed polymorphism after TaqI, SstI, and AvaII were used. Only a significant AvaII-polymorphic fragment (p < 0.03) was found. However, this significant association disappeared when the corrected p value was applied. These results were compared to findings in Caucasians and some differences were noted. The polymorphism observed in this study may be useful in genetic studies on immunologically affected populations.
CD3D and PRKCQ work together to discriminate between B-cell and T-cell acute lymphoblastic leukemia
COMPUTERS IN BIOLOGY AND MEDICINE
Authors: Ma, Dongli; Zhong, Shan; Liu, Xiaorong; Mai, Huirong; Mai, Guoqin; Xu, Cheng; Zhou, Fengfeng
Abstract
Different therapeutic methods have been developed for the B-cell and T-cell subtypes of acute lymphoblastic leukemia (ALL). The identification of molecular biomarkers that can accurately discriminate between B-cell and T-cell ALLs will facilitate the quick determination of therapeutic plans, as well as reveal the intrinsic mechanisms underlining the two different ALL subtypes. This study computationally screened the high-throughput transcriptome dataset for multiple candidate biomarkers and verified their discrimination abilities in an independent sample set using quantitative real-time polymerase chain reaction (PCR) technology. Both technologies suggest that the two genes CD3D and PKRCQ together provided a good model for classification of B-cell and T-cell ALLs, whereas the individual genes did not show consistent discrimination between the two ALL subtypes. Supplementary material is available at http://healthinformaticslab.org/supp/. (C) 2016 Elsevier Ltd. All rights reserved.