Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Karthik Damodaran"'
Autor:
Karren Dai Yang, Anastasiya Belyaeva, Saradha Venkatachalapathy, Karthik Damodaran, Abigail Katcoff, Adityanarayanan Radhakrishnan, G. V. Shivashankar, Caroline Uhler
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-10 (2021)
Integration of single cell data modalities increases the richness of information about the heterogeneity of cell states, but integration of imaging and transcriptomics is an open challenge. Here the authors use autoencoders to learn a probabilistic c
Externí odkaz:
https://doaj.org/article/7df126930d194ef68d3d6f0c6ad92f1f
Autor:
Karren Dai Yang, Karthik Damodaran, Saradha Venkatachalapathy, Ali C Soylemezoglu, G V Shivashankar, Caroline Uhler
Publikováno v:
PLoS Computational Biology, Vol 16, Iss 4, p e1007828 (2020)
Lineage tracing involves the identification of all ancestors and descendants of a given cell, and is an important tool for studying biological processes such as development and disease progression. However, in many settings, controlled time-course ex
Externí odkaz:
https://doaj.org/article/b7da05a4481c4feb92a79275977232c7
Publikováno v:
PLoS ONE, Vol 14, Iss 7, p e0218757 (2019)
Current cancer diagnosis involves the use of nuclear morphology and chromatin condensation signatures for accurate advanced stage classification. While such diagnostic approaches rely on high resolution imaging of the cell nucleus using expensive mic
Externí odkaz:
https://doaj.org/article/c7885356ed644474a9536ce8a7fb089c
Autor:
Karthik Damodaran, Saradha Venkatachalapathy, Abigail Katcoff, Karren Dai Yang, Adityanarayanan Radhakrishnan, G. V. Shivashankar, Anastasiya Belyaeva, Caroline Uhler
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-10 (2021)
Nature Communications, 12 (1)
Nature Communications
Nature Communications, 12 (1)
Nature Communications
The development of single-cell methods for capturing different data modalities including imaging and sequencing has revolutionized our ability to identify heterogeneous cell states. Different data modalities provide different perspectives on a popula
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::caae1fa249fdb3e92deaad94bbd3c2f3
https://doaj.org/article/7df126930d194ef68d3d6f0c6ad92f1f
https://doaj.org/article/7df126930d194ef68d3d6f0c6ad92f1f
Autor:
Ali C. Soylemezoglu, Saradha Venkatachalapathy, G. V. Shivashankar, Caroline Uhler, Karren Dai Yang, Karthik Damodaran
Publikováno v:
PLoS Computational Biology, 16 (4)
PLoS Computational Biology
PLoS Computational Biology, Vol 16, Iss 4, p e1007828 (2020)
PLoS Computational Biology
PLoS Computational Biology, Vol 16, Iss 4, p e1007828 (2020)
Lineage tracing involves the identification of all ancestors and descendants of a given cell, and is an important tool for studying biological processes such as development and disease progression. However, in many settings, controlled time-course ex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8bda9c07a8df20134ab704838d788ffb
https://hdl.handle.net/20.500.11850/416445
https://hdl.handle.net/20.500.11850/416445
Autor:
Farid Alisafaei, G. V. Shivashankar, Doorgesh Sharma Jokhun, Karthik Damodaran, A.V. Radhakrishnan, Vivek B. Shenoy, Saradha Venkatachalapathy
Publikováno v:
Molecular Biology of the Cell
Fibroblasts exhibit heterogeneous cell geometries in tissues and integrate both mechanical and biochemical signals in their local microenvironment to regulate genomic programs via chromatin remodelling. While in connective tissues fibroblasts experie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95c1605bcf5512bcef9b1a5b5b6934e6
http://europepmc.org/articles/PMC6333178
http://europepmc.org/articles/PMC6333178
Autor:
Saradha Venkatchalapathy, Karren Dai Yang, G. V. Shivashankar, Caroline Uhler, Ali C. Soylemezoglu, Karthik Damodaran
Although we can increasingly image and measure biological processes at single-cell resolution, most assays can only take snapshots from a population of cells in time. Here we describe ImageAEOT, which combines an AutoEncoder, to map single-cell Image
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a4539166728e35fc875d1b8f01b06824
Autor:
Karthik Damodaran, Adityanarayanan Radhakrishnan, G. V. Shivashankar, Ali C. Soylemezoglu, Caroline Uhler
Publikováno v:
Scientific Reports, Vol 7, Iss 1, Pp 1-13 (2017)
Scientific Reports
Scientific Reports
Current cancer diagnosis employs various nuclear morphometric measures. While these have allowed accurate late-stage prognosis, early diagnosis is still a major challenge. Recent evidence highlights the importance of alterations in mechanical propert
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c2cafa3087a0ee4fd343ebe70db559b6
https://doi.org/10.1038/s41598-017-17858-1
https://doi.org/10.1038/s41598-017-17858-1
Publikováno v:
PLoS ONE, Vol 14, Iss 7, p e0218757 (2019)
PLoS ONE
PLoS ONE
Current cancer diagnosis involves the use of nuclear morphology and chromatin condensation signatures for accurate advanced stage classification. While such diagnostic approaches rely on high resolution imaging of the cell nucleus using expensive mic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::24c0243bcd16efd8b6908e13e4f203ea
https://doi.org/10.1371/journal.pone.0218757
https://doi.org/10.1371/journal.pone.0218757
Publikováno v:
Molecular and Cellular Mechanobiology ISBN: 9781493956159
In this book chapter, we summarize the current findings for the physical and chemical connections between the extracellular matrix (ECM) and 3D chromosome organization, which ultimately lead to modular gene regulation. An overview is first provided t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::975389988eecdd9833ba0995e8010ad7
https://doi.org/10.1007/978-1-4939-5617-3_10
https://doi.org/10.1007/978-1-4939-5617-3_10