Proceedings of the National Academy of SciencesGeneticsPeer-reviewed journal article
Functional dissection of SPOP on the amino acid level reveals a comprehensive functional landscape of variants during tumorigenesis
Seong Kyun Park, Jeongha LeeiD, Seon Ju Park, Ye Na Kim, Gi Hyun Shin, Dohyun HaniD, Hee‐Jung ChoiiD, Byung Joon HwangiD, Murim ChoiiD
Abstract
Numerous proteins display pleiotropic functions in different clinical contexts. However, molecular mechanism underlying such effects is rarely understood. Speckle-type POZ protein (SPOP) is a typical example, exhibiting tumor-suppressing or -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 (LoF) 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.
- organism: human
- assay: long-read sequencing
- assay: DNA methylation
- research focus: variant effect prediction
- approach: deep learning
- approach: statistical model
- Citations
- 1
- FWCI
- 3.96
- Field percentile
- top 8%
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