Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Saradha Venkatachalapathy

Showing results (1-10 of 14) with videos related to

Pageof 2
Sort By:
Molecular Biology of the Cell|February 6, 2020
Multivariate analysis reveals activation-primed fibroblast geometric states in engineered 3D tumor microenvironmentsSaradha Venkatachalapathy, Doorgesh Sharma Jokhun, G V Shivashankar
Scientific Reports|September 27, 2022
Actomyosin contractility as a mechanical checkpoint for cell state transitionsSaradha Venkatachalapathy, Dyuthi Sreekumar, Prasuna Ratna, et al.
Scientific Reports|November 30, 2021
Single cell imaging-based chromatin biomarkers for tumor progressionSaradha Venkatachalapathy, Doorgesh S Jokhun, Madhavi Andhari, et al.
Proceedings of the National Academy of Sciences of the United States of America|December 13, 2017
Network analysis identifies chromosome intermingling regions as regulatory hotspots for transcriptionAnastasiya Belyaeva, Saradha Venkatachalapathy, Mallika Nagarajan, et al.
Biophysical Journal|May 13, 2017
Nuclear Positioning and Its Translational Dynamics Are Regulated by Cell GeometryA V Radhakrishnan, Doorgesh S Jokhun, Saradha Venkatachalapathy, et al.
Proceedings of the National Academy of Sciences of the United States of America|May 3, 2017
Cell geometry dictates TNFα-induced genome responseAninda Mitra, Saradha Venkatachalapathy, Prasuna Ratna, et al.
Nature Communications|July 19, 2024
Unsupervised representation learning of chromatin images identifies changes in cell state and tissue organization in DCISXinyi Zhang, Saradha Venkatachalapathy, Daniel Paysan, et al.
Plos Computational Biology|April 29, 2020
Predicting cell lineages using autoencoders and optimal transportKarren Dai Yang, Karthik Damodaran, Saradha Venkatachalapathy, et al.
Proceedings of the National Academy of Sciences of the United States of America|May 9, 2018
Laterally confined growth of cells induces nuclear reprogramming in the absence of exogenous biochemical factorsBibhas Roy, Saradha Venkatachalapathy, Prasuna Ratna, et al.
Molecular Biology of the Cell|September 27, 2018
Compressive force induces reversible chromatin condensation and cell geometry-dependent transcriptional responseKarthik Damodaran, Saradha Venkatachalapathy, Farid Alisafaei, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
Molecular Biology of the Cell|February 6, 2020
Multivariate analysis reveals activation-primed fibroblast geometric states in engineered 3D tumor microenvironmentsSaradha Venkatachalapathy, Doorgesh Sharma Jokhun, G V Shivashankar
Scientific Reports|September 27, 2022
Actomyosin contractility as a mechanical checkpoint for cell state transitionsSaradha Venkatachalapathy, Dyuthi Sreekumar, Prasuna Ratna, et al.
Scientific Reports|November 30, 2021
Single cell imaging-based chromatin biomarkers for tumor progressionSaradha Venkatachalapathy, Doorgesh S Jokhun, Madhavi Andhari, et al.
Proceedings of the National Academy of Sciences of the United States of America|December 13, 2017
Network analysis identifies chromosome intermingling regions as regulatory hotspots for transcriptionAnastasiya Belyaeva, Saradha Venkatachalapathy, Mallika Nagarajan, et al.
Biophysical Journal|May 13, 2017
Nuclear Positioning and Its Translational Dynamics Are Regulated by Cell GeometryA V Radhakrishnan, Doorgesh S Jokhun, Saradha Venkatachalapathy, et al.
Proceedings of the National Academy of Sciences of the United States of America|May 3, 2017
Cell geometry dictates TNFα-induced genome responseAninda Mitra, Saradha Venkatachalapathy, Prasuna Ratna, et al.
Nature Communications|July 19, 2024
Unsupervised representation learning of chromatin images identifies changes in cell state and tissue organization in DCISXinyi Zhang, Saradha Venkatachalapathy, Daniel Paysan, et al.
Plos Computational Biology|April 29, 2020
Predicting cell lineages using autoencoders and optimal transportKarren Dai Yang, Karthik Damodaran, Saradha Venkatachalapathy, et al.
Proceedings of the National Academy of Sciences of the United States of America|May 9, 2018
Laterally confined growth of cells induces nuclear reprogramming in the absence of exogenous biochemical factorsBibhas Roy, Saradha Venkatachalapathy, Prasuna Ratna, et al.
Molecular Biology of the Cell|September 27, 2018
Compressive force induces reversible chromatin condensation and cell geometry-dependent transcriptional responseKarthik Damodaran, Saradha Venkatachalapathy, Farid Alisafaei, et al.
Pageof 2