Nuclear Mechanopathology and Cancer Diagnosis

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...

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Bibliographic Details
Main Authors: Uhler, Caroline (Author), Shivashankar, G.V (Author)
Other Authors: Massachusetts Institute of Technology. Laboratory for Information and Decision Systems (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor), Massachusetts Institute of Technology. Institute for Data, Systems, and Society (Contributor)
Format: Article
Language:English
Published: Elsevier BV, 2021-03-11T21:42:37Z.
Subjects:
Online Access:Get fulltext
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100 1 0 |a Uhler, Caroline  |e author 
100 1 0 |a Massachusetts Institute of Technology. Laboratory for Information and Decision Systems  |e contributor 
100 1 0 |a Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science  |e contributor 
100 1 0 |a Massachusetts Institute of Technology. Institute for Data, Systems, and Society  |e contributor 
700 1 0 |a Shivashankar, G.V.  |e author 
245 0 0 |a Nuclear Mechanopathology and Cancer Diagnosis 
260 |b Elsevier BV,   |c 2021-03-11T21:42:37Z. 
856 |z Get fulltext  |u https://hdl.handle.net/1721.1/130125 
520 |a 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. 
520 |a NSF (Grant DMS-1651995) 
520 |a ONR (Grant N00014-17-1-2147) 
655 7 |a Article 
773 |t Trends in Cancer