Functional dissection of <i>SPOP</i> at the amino acid level reveals a comprehensive functional landscape of variants during tumorigenesis
Abstract
Numerous proteins display pleiotropic functions in different clinical contexts. However, the molecular mechanism underlying such effects is rarely understood. Speckle-type POZ protein ( SPOP ) is a typical example, exhibiting tumor-suppressing or tumor-promoting effects in different tumor types in accordance with different amino acid changes; specifically, two distinct sets of variants in SPOP are commonly found in subsets of prostate cancer and endometrial cancer patients. To comprehensively characterize the functional landscape of SPOP alteration, we performed a deep mutational screening (DMS), elucidating the functionality of 7,933 out of 8,228 possible single amino acid changes (96.4% coverage). Leveraging the observation that overexpression of human SPOP leads to yeast growth arrest, we assessed the functionality of each variant using a yeast proliferation assay. In addition, our approach combined long-read and short-read sequencing. Finally, our DMS model enables a clear distinction of likely-loss-of-function variants that are enriched in prostate cancers and reveals their differential characteristics in both protein structure and genetic assessments. These results demonstrate the utility of our approach in high-resolution mapping and amino acid–level interpretation of protein function.
Article Details
Journal Info
Proceedings of the National Academy of Sciences
National Academy of Sciences
Authors (10)
Seong Kyun Park
Department of Molecular Bioscience, College of Biomedical Science, Kangwon National University
Jeongha Lee
Department of Biomedical Sciences, Seoul National University College of Medicine
Seon Ju Park
Department of Molecular Bioscience, College of Biomedical Science, Kangwon National University
Ye Na Kim
Department of Molecular Bioscience, College of Biomedical Science, Kangwon National University
Gi Hyun Shin
Department of Molecular Bioscience, College of Biomedical Science, Kangwon National University
Kisoon Dan
Proteomics and Metabolomics Core Facility, Biomedical Research Institute, Seoul National University Hospital
Hee-Jung Choi
Department of Biological Sciences, Seoul National University
Dohyun Han
Transdisciplinary Department of Medicine and Advanced Technology, Seoul National University Hospital
Byung Joon Hwang
Department of Molecular Bioscience, College of Biomedical Science, Kangwon National University
Murim Choi
Department of Biomedical Sciences, Seoul National University College of Medicine