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Results for “ATRIP”

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2 recordsLinked to original sources
PubMed2026

Germline ATRIP variants and the risk of ovarian cancer.

PURPOSE: We have previously reported that inherited variants in ATRIP confer a 3-fold risk of developing breast cancer. Here, we investigated potential association between this novel breast cancer susceptibility gene and the risk of ovarian cancer. METHODS: We genotyped the ATRIP c.1152_1155del p.(Gly385Ter) Polish founder variant on germline DNA from 3404 Polish women with ovarian cancer and 9285 healthy controls. Additionally, we sequenced all coding exons of ATRIP among 1322 unselected ovarian cancer patients and 930 cancer-free women from Ontario, Canada. RESULTS: The heterozygous ATRIP c.1152_1155del p.(Gly385Ter) variant was identified in 8 of 3404 ovarian cancer cases and 11 of 9285 controls in the Polish population (OR = 1.98, 95% CI = 0.79-4.94, P = .19). In the Ontario cohort, 4 ovarian cancer cases harbored ATRIP loss-of-function (LoF) variants, versus none observed among controls (OR = 5.6, P = .14). In a combined analysis of both cohorts, adjusted for age, self-reported ethnicity, and study, ATRIP LoF variants were significantly associated with ovarian cancer risk (OR = 2.51, 95% CI = 1.108-5.699, P = .037). CONCLUSION: ATRIP plays a critical role in DNA damage response and genomic stability. Our findings support its candidacy as a novel ovarian cancer susceptibility gene.

Humans↗
PubMed2026

Library-based, multiplexed strategy for mapping protein interaction networks via crosslinking.

BACKGROUND: Protein-protein interactions are fundamental to cellular function, yet resolving their interaction interfaces and dynamic behaviors in native biological contexts remains challenging, particularly for weak or transient interactions. Crosslinking strategies based on noncanonical amino acids offer an effective means to capture such interactions; however, traditional single-site incorporation provides limited coverage and may overlook critical interaction hotspots. RESULTS: By employing a mutagenesis library, multiple interaction partners and cross-linking sites of a target protein can be simultaneously screened in a single experiment, without prior knowledge of its precise structural or functional features, enabling effective and unbiased analysis of its interaction network. In this study, we constructed an amber codon-scanning mutagenesis library of PSMD10, facilitating independent incorporation of the photocrosslinking ncAA p-azido-phenylalanine at multiple distinct residues. This approach allowed us to systematically interrogate and precisely map potential interaction regions across the protein surface. Coupled with crosslinking mass spectrometry, we identified multiple residues involved in intermolecular interactions, as well as previously unreported interaction partners, including T2FA, TBA1C, and ATRIP. CONCLUSIONS: These findings expand our understanding of PSMD10-associated proteasome interactome, demonstrate a multiplexed strategy for in situ mapping of protein interaction interfaces with broad coverage, and offer a valuable platform for developing therapeutics that target protein-protein interactions.

Protein Interaction Mapping↗