Biophysical characterization of pathogenic missense mutation in the ARID domain of ARID1A

The ARID1A, AT- rich interactive domain containing protein 1A, is frequently mutated in cancer (e.g., 6% of every cancer and 45% of all ovarian cancer). ARID1A is a member of the Switch/Sucrose non-Fermentable (SWI/SNF) complex responsible for chromatin remodeling and gene expression. Within ARID1A lies an ancient and highly conserved DNA-binding domain (ARID domain) of ∼100 amino acids with a helix-turn-helix motif. The Cancer Genome Atlas (TCGA) reports on mutations in the ARID domain for which 37% of the mutations are frameshift, another 37% are missense and remaining are stop gain. Here we use experimental and computational approaches to identify how missense mutation impaired the ARID-to-DNA interactions by impacting protein stability, binding affinity, and structural dynamics potentially explaining their pathogenicity. Specifically, we identified the most mutated variants in the TCGA (i.e., R1020S, M1022K, K1047Q, G1063V, Q1098H). Next, we used web server bioinformatic pathogenic predictors tools (SAMPDI, CUPSAT, SAMBA-3D, SAAMBE-SEQ, SAAFEC, SAAFEC-SEQ, nMCS) to compute biophysical properties such as the protein stability and DNA binding energy and their likelihood for pathogenicity. We used denaturation assays to experimentally determine the stability of selected variants and compare it with the wildtype. To determine the binding affinity, we run electrophoresis mobility shift assays, intrinsic fluorescence, fluorescence anisotropy, and microscale thermophoresis approaches. We compare experimental and bioinformatic tools to decipher the subtle impacts of missense mutation in the ARID domain. Our findings will help us understand the impact of missense mutations in the structure-function relationship.