Functional dissection of <i>SPOP</i> at the amino acid level reveals a comprehensive functional landscape of variants during tumorigenesis

S Seong Kyun Park (Department of Molecular Bioscience, College of Biomedical Science, Kangwon National University) J Jeongha Lee (Department of Biomedical Sciences, Seoul National University College of Medicine) S Seon Ju Park (Department of Molecular Bioscience, College of Biomedical Science, Kangwon National University) Y Ye Na Kim (Department of Molecular Bioscience, College of Biomedical Science, Kangwon National University) G Gi Hyun Shin (Department of Molecular Bioscience, College of Biomedical Science, Kangwon National University) K Kisoon Dan (Proteomics and Metabolomics Core Facility, Biomedical Research Institute, Seoul National University Hospital) H Hee-Jung Choi (Department of Biological Sciences, Seoul National University) D Dohyun Han (Transdisciplinary Department of Medicine and Advanced Technology, Seoul National University Hospital) B Byung Joon Hwang (Department of Molecular Bioscience, College of Biomedical Science, Kangwon National University) M Murim Choi (Department of Biomedical Sciences, Seoul National University College of Medicine)

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

Volume / Issue Vol. 123, Issue 19
Published May 12, 2026
ISSN 0027-8424
Publisher National Academy of Sciences

Authors (10)

S

Seong Kyun Park

Department of Molecular Bioscience, College of Biomedical Science, Kangwon National University

J

Jeongha Lee

Department of Biomedical Sciences, Seoul National University College of Medicine

S

Seon Ju Park

Department of Molecular Bioscience, College of Biomedical Science, Kangwon National University

Y

Ye Na Kim

Department of Molecular Bioscience, College of Biomedical Science, Kangwon National University

G

Gi Hyun Shin

Department of Molecular Bioscience, College of Biomedical Science, Kangwon National University

K

Kisoon Dan

Proteomics and Metabolomics Core Facility, Biomedical Research Institute, Seoul National University Hospital

H

Hee-Jung Choi

Department of Biological Sciences, Seoul National University

D

Dohyun Han

Transdisciplinary Department of Medicine and Advanced Technology, Seoul National University Hospital

B

Byung Joon Hwang

Department of Molecular Bioscience, College of Biomedical Science, Kangwon National University

M

Murim Choi

Department of Biomedical Sciences, Seoul National University College of Medicine