Literature DB >> 33152507

Comprehensive in silico mutational-sensitivity analysis of PTEN establishes signature regions implicated in pathogenesis of Autism Spectrum Disorders.

Ashitha S Niranjana Murthy1, Raviraj V Suresh2, Ramachandra Nallur B3.   

Abstract

An extensively studied cancer and Autism Spectrum Disorders (ASD) gene like PTEN provided an exclusive opportunity to map its mutational-landscape, compare and establish plausible genotypic predictors of ASD-associated phenotypic outcomes. Our exhaustive in silico analysis on 4252 SNPs using >30 tools identified increased mutational-density in exon7. Phosphatase domain, although evolutionarily conserved, had the most nsSNPs localised within signature regions. The evolutionarily variable C-terminal side contained the highest truncating-SNPs outside signature regions of C2 domain and most PTMs within C-tail site which displayed maximum intolerance to polymorphisms, and permitted benign but destabilising nsSNPs that enhanced its intrinsically-disordered nature. ASD-associated SNPs localised within ATP-binding motifs and Nuclear-Localising-Sequences were the most potent triggers of ASD manifestation. These, along with variations within P, WPD and TI loops, M1 within phosphatase domain, M2 and MoRFs of C2 domain, caused severe long-range conformational fluctuations altering PTEN's dynamic stability- not observed in variations outside signature regions. 3'UTR-SNPs affected 44 strong miRNA brain-specific targets; several 5' UTR-SNPs targeted transcription-factor POLR2A and 10 pathogenic Splice-Affecting-Variants were identified.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Autism Spectrum Disorders (ASD); In silico; Molecular dynamics, regulatory SNPs; Mutational-hotspots; PTEN; Pathogenic variations; Signature regions

Mesh:

Substances:

Year:  2020        PMID: 33152507     DOI: 10.1016/j.ygeno.2020.10.035

Source DB:  PubMed          Journal:  Genomics        ISSN: 0888-7543            Impact factor:   5.736


  1 in total

1.  Dissecting mutational allosteric effects in alkaline phosphatases associated with different Hypophosphatasia phenotypes: An integrative computational investigation.

Authors:  Fei Xiao; Ziyun Zhou; Xingyu Song; Mi Gan; Jie Long; Gennady Verkhivker; Guang Hu
Journal:  PLoS Comput Biol       Date:  2022-03-23       Impact factor: 4.475

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.