Comprehensive mutagenesis defines the functional landscape of human α-tubulin

K Kaiming Xu (State Key Laboratory of Membrane Biology, Tsinghua-Peking Center for Life Sciences, Beijing Frontier Research Center for Biological Structure, McGovern Institute for Brain Research, Ministry of Education Key Laboratory for Protein Science, School of Life Sciences, Tsinghua University) Z Zhengyang Guo (Tsinghua-Peking Center for Life Sciences, Tsinghua University) Z Zihan Chen M Ming Li Z Zongxian Chen (State Key Laboratory of Membrane Biology, Tsinghua-Peking Center for Life Sciences, Beijing Frontier Research Center for Biological Structure, McGovern Institute for Brain Research, Ministry of Education Key Laboratory for Protein Science, School of Life Sciences, Tsinghua University) D Deyang Zhang (State Key Laboratory of Membrane Biology, Tsinghua-Peking Center for Life Sciences, Beijing Frontier Research Center for Biological Structure, McGovern Institute for Brain Research, Ministry of Education Key Laboratory for Protein Science, School of Life Sciences, Tsinghua University) Y Yang Wang Y Yongping Chai (Tsinghua-Peking Center for Life Sciences, Tsinghua University) J Jinxiang Zhang (Department of Emergency Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology) H Hui Wang D Dong Li W Wei Li G Guangshuo Ou (Tsinghua-Peking Center for Life Sciences, Tsinghua University)

Abstract

Interpreting missense variants in highly conserved, paralog-rich gene families remains a major barrier to understanding protein function and advancing precision medicine. Here, we combine comprehensive mutagenesis, high-content live-cell imaging, and automated quantitative analysis to generate a complete functional atlas of all 2,683 single-nucleotide coding variants in human α-tubulin TUBA1A. Systematic profiling of microtubule assembly revealed distinct classes of mutations that disrupt folding, chaperone engagement, and protofilament geometry, defining structural constraints that govern tubulin function. This approach complements conservation-based predictors and enables functional reinterpretation of disease-associated variants. Molecular dynamics simulations further revealed how local perturbations in GTP (guanosine triphosphate) binding, dimer contacts, and lateral interfaces propagate to alter filament architecture. Integrating these datasets produced a predictive framework that generalizes across tubulin isotypes and species, enabling accurate inference of variant effects. This work establishes a scalable, high-resolution strategy for functional annotation of conserved proteins and provides mechanistic insight into cytoskeletal assembly and flexibility.

Article Details

Volume / Issue Vol. 123, Issue 22
Published June 02, 2026
ISSN 0027-8424
Publisher National Academy of Sciences

Authors (13)

K

Kaiming Xu

State Key Laboratory of Membrane Biology, Tsinghua-Peking Center for Life Sciences, Beijing Frontier Research Center for Biological Structure, McGovern Institute for Brain Research, Ministry of Education Key Laboratory for Protein Science, School of Life Sciences, Tsinghua University

Z

Zhengyang Guo

Tsinghua-Peking Center for Life Sciences, Tsinghua University

Z

Zihan Chen

M

Ming Li

Z

Zongxian Chen

State Key Laboratory of Membrane Biology, Tsinghua-Peking Center for Life Sciences, Beijing Frontier Research Center for Biological Structure, McGovern Institute for Brain Research, Ministry of Education Key Laboratory for Protein Science, School of Life Sciences, Tsinghua University

D

Deyang Zhang

State Key Laboratory of Membrane Biology, Tsinghua-Peking Center for Life Sciences, Beijing Frontier Research Center for Biological Structure, McGovern Institute for Brain Research, Ministry of Education Key Laboratory for Protein Science, School of Life Sciences, Tsinghua University

Y

Yang Wang

Y

Yongping Chai

Tsinghua-Peking Center for Life Sciences, Tsinghua University

J

Jinxiang Zhang

Department of Emergency Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology

H

Hui Wang

D

Dong Li

W

Wei Li

G

Guangshuo Ou

Tsinghua-Peking Center for Life Sciences, Tsinghua University