Supplementary Data from Leveraging Systematic Functional Analysis to Benchmark an In Silico Framework Distinguishes Driver from Passenger MEK Mutants in Cancer
Year: 2023
Type: supplementary-materials
Abstract: This supplementary data file contains 5 figures pertaining to the tumor distribution of MEK1 hotspot mutations, functional characterization of further MEK1/2 mutants with and without MEK or ERK inhibitor treatment, and the sequence paralogy alignment of MEK1 and MEK2. This file also contains 4 tables detailing hotspot analysis q values for MEK1/2 mutants, tumor incidence of MEK1 in-frame deletions, and a summary of MEK1/2 paralogous residues and their concordant activation status.
Authors: Aphrothiti J. Hanrahan, Brooke E. Sylvester, Matthew T. Chang, Arijh Elzein, Jianjiong Gao, Weiwei Han, Ye Liu, Dong Xu, Sizhi P. Gao, Alexander N. Gorelick, Alexis M. Jones, Amber J. Kiliti, Moriah H. Nissan, Clare A. Nimura, Abigail N. Poteshman, Zhan Yao, Yijun Gao, Wenhuo Hu, Hannah C. Wise, Elena I. Gavrila, Alexander N. Shoushtari, Shakuntala Tiwari, Agnes Viale, Omar Abdel-Wahab, Taha Merghoub, Michael F. Berger, Neal Rosen, Barry S. Taylor, David B. Solit
Language: English
Topic: Melanoma and MAPK Pathways
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: gold
OpenAlex ID: W4362423571