Publication:
Tumor-derived RHOA mutants interact with effectors in the GDP-bound state

dc.contributor.coauthorLin,Yuan
dc.contributor.coauthorRamelot,Theresa A.
dc.contributor.coauthorJang,Hyunbum
dc.contributor.coauthorNussinov,Ruth
dc.contributor.coauthorZheng,Yi
dc.contributor.departmentDepartment of Computer Engineering
dc.contributor.departmentDepartment of Chemical and Biological Engineering
dc.contributor.departmentGraduate School of Sciences and Engineering
dc.contributor.kuauthorŞenyüz, Simge
dc.contributor.kuauthorGürsoy, Attila
dc.contributor.kuauthorKeskin, Özlem
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.contributor.schoolcollegeinstituteGRADUATE SCHOOL OF SCIENCES AND ENGINEERING
dc.date.accessioned2024-12-29T09:39:07Z
dc.date.issued2024
dc.description.abstractRHOA 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.indexedbyWOS
dc.description.indexedbyScopus
dc.description.indexedbyPubMed
dc.description.issue1
dc.description.openaccessAll Open Access
dc.description.openaccessGold Open Access
dc.description.publisherscopeInternational
dc.description.sponsoredbyTubitakEuN/A
dc.description.sponsorshipFunding 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.volume15
dc.identifier.doi10.1038/s41467-024-51445-z
dc.identifier.eissn2041-1723
dc.identifier.issn2041-1723
dc.identifier.link 
dc.identifier.quartileQ1
dc.identifier.scopus2-s2.0-85201688100
dc.identifier.urihttps://doi.org/10.1038/s41467-024-51445-z
dc.identifier.urihttps://hdl.handle.net/20.500.14288/22887
dc.identifier.wos1296093800025
dc.keywordsCrystallography, x-ray
dc.keywordsGain of function mutation
dc.keywordsGuanosine diphosphate
dc.keywordsGuanosine triphosphate
dc.keywordsHumans
dc.keywordsMolecular dynamics simulation
dc.keywordsMutation
dc.keywordsProtein binding
dc.keywordsProtein conformation
dc.language.isoeng
dc.publisherNature Research
dc.relation.grantno 
dc.relation.ispartofNature Communications
dc.rights 
dc.subjectMolecular and cell biology
dc.subjectCancer, autophagy and apoptosis
dc.titleTumor-derived RHOA mutants interact with effectors in the GDP-bound state
dc.typeJournal Article
dc.type.other 
dspace.entity.typePublication
local.contributor.kuauthorŞenyüz,Simge
local.contributor.kuauthorGürsoy,Attila
local.contributor.kuauthorKeskin,Özlem
local.publication.orgunit1GRADUATE SCHOOL OF SCIENCES AND ENGINEERING
local.publication.orgunit2Department of Computer Engineering;Department of Chemical and Biological Engineering
local.publication.orgunit2Graduate School of Sciences and Engineering
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