International Journal of Multidisciplinary and Current ResearchBioinformaticsPeer-reviewed journal article
Computational Analysis of Single Nucleotide polymorphisms (SNPs) in Human T-Cell Acute Lymphocytic Leukemia Protein 1 (TAL1) Gene/ Comprehensive Study
Shaza Wagiealla ShantieriD, Hashim E. Elmansi, Mihad E. Elnnewery, Hind K. Osman, Isam-Aldin A. Alhassan, Fatima A. AbdelrhmaniD, Ahmed A. Yagaub, Einas M. Yousif, Alaa I. Abdalla, Rawan A. Elamin, Howina S. Fadol, Afra AbdElhamid Fadl Alla, Mohamed Ahmed Salih HassaniD
Abstract
BackgroundTAL1 is a proto-oncogene whose distorted modifications in committed T-cell Precursors is related with the development of T-ALL, it also found to be related to many other human hematological diseases such as lymphoblastic lymphoma, immunodeficiency 18, acute myeloid leukemia and diamond-blackfan Anemia.\n\nObjectivesThis study aims to predict the effect of nsSNPs on TAL1 protein structure function\n\nMethodsRetrieved nSNPs in the coding and 3UTR regions were analyzed using different in silico tools. Interactions of TAL1 with functionally similar genes were investigated using Genemania. Post-translational modifications in several sites of the protein were also investigated.\n\nResultsOut of ninety nsSNPs identified, only eight were found damaging to protein function of which one is located in the basis helix-loop-helix domain (bHLH). Two SNPs were anticipated by PolymiRTs to prompt disturbance or creation of miR binding sites.\n\nConclusionThe present study is the first ever computational analysis of TAL1s nsSNPs hence this effort might be of help in the near future for inventing early diagnostic and therapeutic measures for T-ALL
- organism: human
- assay: DNA methylation
- assay: whole-exome sequencing
- research focus: variant effect prediction
- approach: statistical model
- Citations
- 2
- FWCI
- 0.15
- Field percentile
- top 45%
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