Related Experiment Video
Updated: Aug 6, 2026

11:36
A Protocol for Functional Assessment of Whole-Protein Saturation Mutagenesis Libraries Utilizing High-Throughput Sequencing
Published on: July 3, 2016
Decoding SHP2 mutations by computational saturation mutagenesis
Chen Wang1, Xiao Tang1, Qiaobin Yao2
1School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China.
Journal of Molecular Cell Biology
|July 17, 2026
Summary
Src-homology-2-containing protein tyrosine phosphatase 2 (SHP2) mutations can disrupt its self-inhibited state, driving disease. Our study maps these effects, revealing conformational changes linked to pathogenicity.
Area of Science:
- Biochemistry
- Molecular Biology
- Genetics
Background:
- Src-homology-2-containing protein tyrosine phosphatase 2 (SHP2) regulates crucial cellular processes.
- SHP2 normally exists in a self-inhibited state, preventing aberrant activation.
- Mutations disrupting this autoinhibition are linked to developmental disorders and cancer.
Purpose of the Study:
- To systematically analyze the functional impact of SHP2 single-amino acid substitutions.
- To identify key residues and structural changes associated with SHP2 pathogenicity.
- To develop a predictive framework for uncharacterized SHP2 variants.
Main Methods:
- Computational saturation mutagenesis of SHP2 SH2 and PTP domains (>9000 substitutions).
- Analysis of binding energy changes to predict conformational stability.
- Functional assays to assess enzymatic activity, signaling, and proliferation.
- Integration of clinical data to correlate variants with disease.
Main Results:
- Identified key residues (e.g., A72, G503) destabilizing the autoinhibited conformation.
- Demonstrated that SH2 and PTP domain mutations enhance SHP2 activity, signaling, and proliferation.
- Pathogenic variants were found to preferentially adopt destabilizing conformations.
Conclusions:
- Conformational opening is a primary driver of SHP2 pathogenicity.
- Structural destabilization directly links SHP2 mutations to disease.
- Provides a comprehensive map and predictive framework for SHP2 variant interpretation.

