| dc.contributor.author | Uhler, Caroline | |
| dc.contributor.author | Shivashankar, G.V. | |
| dc.date.accessioned | 2021-03-11T21:42:37Z | |
| dc.date.available | 2021-03-11T21:42:37Z | |
| dc.date.issued | 2018-04 | |
| dc.identifier.issn | 2405-8033 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/130125 | |
| dc.description.abstract | Abnormalities in nuclear and chromatin organization are hallmarks of many diseases including cancer. This review provides our understanding of how the cellular microenvironment regulates nuclear morphology and with it the spatial organization of chromosomes and genes, resulting in cell-type specific genomic programs. We also discuss the molecular basis for maintaining nuclear and genomic integrity and how alterations in nuclear mechanotransduction pathways result in various diseases. Finally, we highlight the importance of digital pathology based on nuclear morphometric features combined with single-cell genomics for early cancer diagnostics. | en_US |
| dc.description.sponsorship | NSF (Grant DMS-1651995) | en_US |
| dc.description.sponsorship | ONR (Grant N00014-17-1-2147) | en_US |
| dc.publisher | Elsevier BV | en_US |
| dc.relation.isversionof | https://doi.org/10.1016/j.trecan.2018.02.009 | en_US |
| dc.rights | Creative Commons Attribution-NonCommercial-NoDerivs License | en_US |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | en_US |
| dc.source | Prof. Uhler via Phoebe Ayers | en_US |
| dc.title | Nuclear Mechanopathology and Cancer Diagnosis | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Uhler, Caroline and G.V. Shivashankar. "Nuclear Mechanopathology and Cancer Diagnosis." Trends in Cancer 4, 4 (April 2018): P320-331. | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Laboratory for Information and Decision Systems | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Institute for Data, Systems, and Society | en_US |
| dc.relation.journal | Trends in Cancer | en_US |
| dc.eprint.version | Author's final manuscript | en_US |
| dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
| eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
| dspace.date.submission | 2021-03-05T17:29:51Z | |
| mit.journal.volume | 4 | en_US |
| mit.journal.issue | 4 | en_US |
| mit.license | PUBLISHER_CC | |
| mit.metadata.status | Complete | |