High-Resolution Imaging of Human Cancer Proteins Using Microprocessor Materials
dc.contributor.author | Solares, Maria J. | en |
dc.contributor.author | Jonaid, G. M. | en |
dc.contributor.author | Luqiu, William Y. | en |
dc.contributor.author | Berry, Samantha | en |
dc.contributor.author | Khadela, Janki | en |
dc.contributor.author | Liang, Yanping | en |
dc.contributor.author | Evans, Madison C. | en |
dc.contributor.author | Pridham, Kevin J. | en |
dc.contributor.author | Dearnaley, William J. | en |
dc.contributor.author | Sheng, Zhi | en |
dc.contributor.author | Kelly, Deborah F. | en |
dc.date.accessioned | 2024-08-30T19:22:39Z | en |
dc.date.available | 2024-08-30T19:22:39Z | en |
dc.date.issued | 2022-07-14 | en |
dc.description.abstract | Mutations in tumor suppressor genes, such as Tumor Protein 53 (TP53), are heavily implicated in aggressive cancers giving rise to gain- and loss-of-function phenotypes. While individual domains of the p53 protein have been studied extensively, structural information for full-length p53 remains incomplete. Functionalized microprocessor chips (microchips) with properties amenable to electron microscopy permitted us to visualize complete p53 assemblies for the first time. The new structures revealed p53 in an inactive dimeric state independent of DNA binding. Residues located at the protein-protein interface corresponded with modification sites in cancer-related hot spots. Changes in these regions may amplify the toxic effects of clinical mutations. Taken together, these results contribute advances in technology and imaging approaches to decode native protein models in different states of activation. | en |
dc.description.version | Accepted version | en |
dc.format.extent | 10 page(s) | en |
dc.format.mimetype | application/pdf | en |
dc.identifier | ARTN e202200310 (Article number) | en |
dc.identifier.doi | https://doi.org/10.1002/cbic.202200310 | en |
dc.identifier.eissn | 1439-7633 | en |
dc.identifier.issn | 1439-4227 | en |
dc.identifier.issue | 17 | en |
dc.identifier.orcid | Sheng, Zhi [0000-0002-0029-8666] | en |
dc.identifier.pmid | 35789183 | en |
dc.identifier.uri | https://hdl.handle.net/10919/121042 | en |
dc.identifier.volume | 23 | en |
dc.language.iso | en | en |
dc.publisher | Wiley-V C H | en |
dc.relation.uri | https://www.ncbi.nlm.nih.gov/pubmed/35789183 | en |
dc.rights | In Copyright | en |
dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | en |
dc.subject | cancer | en |
dc.subject | electron microscopy | en |
dc.subject | microchips | en |
dc.subject | p53 | en |
dc.subject | molecular modeling | en |
dc.subject.mesh | Humans | en |
dc.subject.mesh | Neoplasms | en |
dc.subject.mesh | Mutation | en |
dc.subject.mesh | Microcomputers | en |
dc.subject.mesh | Tumor Suppressor Protein p53 | en |
dc.title | High-Resolution Imaging of Human Cancer Proteins Using Microprocessor Materials | en |
dc.title.serial | ChemBioChem | en |
dc.type | Article - Refereed | en |
dc.type.dcmitype | Text | en |
dc.type.other | Article | en |
dc.type.other | Journal | en |
pubs.organisational-group | Virginia Tech | en |
pubs.organisational-group | Virginia Tech/Faculty of Health Sciences | en |
pubs.organisational-group | Virginia Tech/VT Carilion School of Medicine | en |
pubs.organisational-group | Virginia Tech/VT Carilion School of Medicine/Internal Medicine | en |
pubs.organisational-group | Virginia Tech/VT Carilion School of Medicine/Internal Medicine/Secondary Appointment- Internal Medicine | en |
pubs.organisational-group | Virginia Tech/VT Carilion School of Medicine/Internal Medicine/Internal Med-Subgroup | en |
pubs.organisational-group | Virginia Tech/University Research Institutes | en |
pubs.organisational-group | Virginia Tech/University Research Institutes/Fralin Biomedical Research Institute at VTC | en |
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