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Functional and conformational impact of cancer-associated SF3B1 mutations depends on the position and the charge of amino acid substitution.

ABSTRACT: The hotspot mutations of SF3B1, the most frequently mutated splicing gene in cancers, contribute to oncogenesis by corrupting the mRNA splicing. Further SF3B1 mutations have been reported in cancers but their consequences remain unclear. Here, we screened for SF3B1 mutations in the vicinity of the hotspot region in tumors. We then performed in-silico prediction of the functional outcome followed by in-cellulo modelling of different SF3B1 mutants. We show that cancer-associated SF3B1 mutations present varying functional consequences that are loosely predicted by the in-silico algorithms. Analysis of the tertiary structure of SF3B1 mutants revealed that the resulting splicing errors may be due to a conformational change in SF3B1 N-terminal region, which mediates binding with other splicing factors. Our study demonstrates a varying functional impact of SF3B1 mutations according to the mutated codon and the amino acid substitution, implying unequal pathogenic and prognostic potentials of SF3B1 mutations in cancers.

SUBMITTER: Canbezdi C

PROVIDER: S-EPMC7960499 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Functional and conformational impact of cancer-associated SF3B1 mutations depends on the position and the charge of amino acid substitution

Project description:RNA-sequencing data from HEK293T cell models: Hek293T transfected with expression vectors of SF3B1-WT, SF3B1-R625H, SF3B1-K666T, SF3B1-K700E.

2021-02-18 | GSE167001 | GEO

Functional and conformational impact of cancer-associated SF3B1 mutations depends on the position and the charge of amino acid substitution

Project description:Functional and conformational impact of cancer-associated SF3B1 mutations depends on the position and the charge of amino acid substitution

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| S-EPMC307629 | biostudies-literature

Assessing the evolutionary impact of amino acid mutations in the human genome.

Project description:Quantifying the distribution of fitness effects among newly arising mutations in the human genome is key to resolving important debates in medical and evolutionary genetics. Here, we present a method for inferring this distribution using Single Nucleotide Polymorphism (SNP) data from a population with non-stationary demographic history (such as that of modern humans). Application of our method to 47,576 coding SNPs found by direct resequencing of 11,404 protein coding-genes in 35 individuals (20 European Americans and 15 African Americans) allows us to assess the relative contribution of demographic and selective effects to patterning amino acid variation in the human genome. We find evidence of an ancient population expansion in the sample with African ancestry and a relatively recent bottleneck in the sample with European ancestry. After accounting for these demographic effects, we find strong evidence for great variability in the selective effects of new amino acid replacing mutations. In both populations, the patterns of variation are consistent with a leptokurtic distribution of selection coefficients (e.g., gamma or log-normal) peaked near neutrality. Specifically, we predict 27-29% of amino acid changing (nonsynonymous) mutations are neutral or nearly neutral (|s|<0.01%), 30-42% are moderately deleterious (0.01%<|s|<1%), and nearly all the remainder are highly deleterious or lethal (|s|>1%). Our results are consistent with 10-20% of amino acid differences between humans and chimpanzees having been fixed by positive selection with the remainder of differences being neutral or nearly neutral. Our analysis also predicts that many of the alleles identified via whole-genome association mapping may be selectively neutral or (formerly) positively selected, implying that deleterious genetic variation affecting disease phenotype may be missed by this widely used approach for mapping genes underlying complex traits.

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| S-EPMC6551275 | biostudies-literature

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