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A rapid solubility assay of protein domain misfolding for pathogenicity assessment of rare DNA sequence variants
PURPOSE: DNA sequencing technology has unmasked a vast number of uncharacterized single nucleotide variants in disease-associated genes, and efficient methods are needed to determine pathogenicity and enable clinical care. METHODS: We report herein an E.coli-based solubility assay for assessing the...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7529867/ https://www.ncbi.nlm.nih.gov/pubmed/32475984 http://dx.doi.org/10.1038/s41436-020-0842-1 |
Sumario: | PURPOSE: DNA sequencing technology has unmasked a vast number of uncharacterized single nucleotide variants in disease-associated genes, and efficient methods are needed to determine pathogenicity and enable clinical care. METHODS: We report herein an E.coli-based solubility assay for assessing the effects of variants on protein domain stability for three disease-associated proteins. RESULTS: First, we examined variants in the Kv11.1 channel PAS domain (PASD) associated with inherited Long QT Syndrome type 2 and found that protein solubility correlated well with reported in vitro protein stabilities. A comprehensive solubility analysis of 56 Kv11.1 PASD variants revealed that disruption of membrane trafficking, the dominant loss-of-function disease mechanism, is largely determined by domain stability. We further validated this assay by using it to identify second-site suppressor PASD variants that improve domain stability and Kv11.1 protein trafficking. Finally, we applied this assay to several cancer-linked P53 tumor suppressor DNA-binding domain and myopathy-linked Lamin A/C Ig-like domain variants, which also correlated well with reported protein stabilities and functional analyses. CONCLUSION: This simple solubility assay can aid in determining the likelihood of pathogenicity for sequence variants due to protein misfolding in structured domains of disease-associated genes as well as provide insights into the structural basis of disease. |
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