Publication: Tumor-derived RHOA mutants interact with effectors in the GDP-bound state
dc.contributor.coauthor | Lin,Yuan | |
dc.contributor.coauthor | Ramelot,Theresa A. | |
dc.contributor.coauthor | Jang,Hyunbum | |
dc.contributor.coauthor | Nussinov,Ruth | |
dc.contributor.coauthor | Zheng,Yi | |
dc.contributor.department | Department of Computer Engineering | |
dc.contributor.department | Department of Chemical and Biological Engineering | |
dc.contributor.department | Graduate School of Sciences and Engineering | |
dc.contributor.kuauthor | Şenyüz, Simge | |
dc.contributor.kuauthor | Gürsoy, Attila | |
dc.contributor.kuauthor | Keskin, Özlem | |
dc.contributor.schoolcollegeinstitute | College of Engineering | |
dc.contributor.schoolcollegeinstitute | GRADUATE SCHOOL OF SCIENCES AND ENGINEERING | |
dc.date.accessioned | 2024-12-29T09:39:07Z | |
dc.date.issued | 2024 | |
dc.description.abstract | RHOA mutations are found at diverse residues in various cancer types, implying mutation- and cell-specific mechanisms of tumorigenesis. Here, we focus on the underlying mechanisms of two gain-of-function RHOA mutations, A161P and A161V, identified in adult T-cell leukemia/lymphoma. We find that RHOAA161P and RHOAA161V are both fast-cycling mutants with increased guanine nucleotide dissociation/association rates compared with RHOAWT and show reduced GTP-hydrolysis activity. Crystal structures reveal an altered nucleotide association in RHOAA161P and an open nucleotide pocket in RHOAA161V. Both mutations perturb the dynamic properties of RHOA switch regions and shift the conformational landscape important for RHOA activity, as shown by 31P NMR and molecular dynamics simulations. Interestingly, RHOAA161P and RHOAA161V can interact with effectors in the GDP-bound state. 1H-15N HSQC NMR spectra support the existence of an active population in RHOAA161V-GDP. The distinct interaction mechanisms resulting from the mutations likely favor an RHOAWT-like “ON” conformation, endowing GDP-bound state effector binding activity. © The Author(s) 2024. | |
dc.description.indexedby | WOS | |
dc.description.indexedby | Scopus | |
dc.description.indexedby | PubMed | |
dc.description.issue | 1 | |
dc.description.openaccess | All Open Access | |
dc.description.openaccess | Gold Open Access | |
dc.description.publisherscope | International | |
dc.description.sponsoredbyTubitakEu | N/A | |
dc.description.sponsorship | Funding text 1: This study was funded by NIH grants R01 HL147536 (Y.Z.), U54 DK126108 (Y.Z.), P01 HL158688 (Y.Z.), and CancerFree KIDS Foundation (CFK 400488, Y.L.). This research used resources from the Advanced Photon Source at the Argonne National Laboratory. The Lilly Research Laboratories Collaborative Access Team (LRL-CAT) beamline at Sector 31 of the Advanced Photon Source was provided by Eli Lilly Company, which operates the facility. All simulations were performed using the high-performance computational facilities of the Biowulf PC/Linux cluster at the National Institutes of Health (NIH), Bethesda, MD, USA (https://hpc.nih.gov/). This project has been funded in whole or in part with federal funds from the National Cancer Institute (NCI), NIH, under contract HHSN261201500003I. The content of this publication does not necessarily reflect the views or policies of the Department of Health and Human Services, nor does the mention of trade names, commercial products, or organizations imply endorsement by the US Government. This Research was supported (in part) by the Intramural Research Program of NIH, NCI, Center for Cancer Research. We thank Dr. Miki Watanabe at the CCHMC NMR-based Metabolomics Core for 31P, 1H-15N HSQC, and NOESY NMR data collection and processing and Dr. Nicholas Nassar, who provided insight and suggestions for the research and comments that greatly improved the manuscript.; Funding text 2: This study was funded by NIH grants R01 HL147536 (Y.Z.), U54 DK126108 (Y.Z.), P01 HL158688 (Y.Z.), and CancerFree KIDS Foundation (CFK 400488, Y.L.). This research used resources from the Advanced Photon Source at the Argonne National Laboratory. The Lilly Research Laboratories Collaborative Access Team (LRL-CAT) beamline at Sector 31 of the Advanced Photon Source was provided by Eli Lilly Company, which operates the facility. All simulations were performed using the high-performance computational facilities of the Biowulf PC/Linux cluster at the National Institutes of Health (NIH), Bethesda, MD, USA ( https://hpc.nih.gov/ ). This project has been funded in whole or in part with federal funds from the National Cancer Institute (NCI), NIH, under contract HHSN261201500003I. The content of this publication does not necessarily reflect the views or policies of the Department of Health and Human Services, nor does the mention of trade names, commercial products, or organizations imply endorsement by the US Government. This Research was supported (in part) by the Intramural Research Program of NIH, NCI, Center for Cancer Research. We thank Dr. Miki Watanabe at the CCHMC NMR-based Metabolomics Core for P, H-N HSQC, and NOESY NMR data collection and processing and Dr. Nicholas Nassar, who provided insight and suggestions for the research and comments that greatly improved the manuscript. | |
dc.description.volume | 15 | |
dc.identifier.doi | 10.1038/s41467-024-51445-z | |
dc.identifier.eissn | 2041-1723 | |
dc.identifier.issn | 2041-1723 | |
dc.identifier.link | ||
dc.identifier.quartile | Q1 | |
dc.identifier.scopus | 2-s2.0-85201688100 | |
dc.identifier.uri | https://doi.org/10.1038/s41467-024-51445-z | |
dc.identifier.uri | https://hdl.handle.net/20.500.14288/22887 | |
dc.identifier.wos | 1296093800025 | |
dc.keywords | Crystallography, x-ray | |
dc.keywords | Gain of function mutation | |
dc.keywords | Guanosine diphosphate | |
dc.keywords | Guanosine triphosphate | |
dc.keywords | Humans | |
dc.keywords | Molecular dynamics simulation | |
dc.keywords | Mutation | |
dc.keywords | Protein binding | |
dc.keywords | Protein conformation | |
dc.language.iso | eng | |
dc.publisher | Nature Research | |
dc.relation.grantno | ||
dc.relation.ispartof | Nature Communications | |
dc.rights | ||
dc.subject | Molecular and cell biology | |
dc.subject | Cancer, autophagy and apoptosis | |
dc.title | Tumor-derived RHOA mutants interact with effectors in the GDP-bound state | |
dc.type | Journal Article | |
dc.type.other | ||
dspace.entity.type | Publication | |
local.contributor.kuauthor | Şenyüz,Simge | |
local.contributor.kuauthor | Gürsoy,Attila | |
local.contributor.kuauthor | Keskin,Özlem | |
local.publication.orgunit1 | GRADUATE SCHOOL OF SCIENCES AND ENGINEERING | |
local.publication.orgunit2 | Department of Computer Engineering;Department of Chemical and Biological Engineering | |
local.publication.orgunit2 | Graduate School of Sciences and Engineering | |
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relation.isParentOrgUnitOfPublication.latestForDiscovery | 8e756b23-2d4a-4ce8-b1b3-62c794a8c164 |
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