Zobrazeno 1 - 8 of 8 pro vyhledávání: '"Calysta Yan"'
1
Akademický článek
A comprehensive analysis of gene expression changes in a high replicate and open-source dataset of differentiating hiPSC-derived cardiomyocytes
Autor: Tanya Grancharova, Kaytlyn A. Gerbin, Alexander B. Rosenberg, Charles M. Roco, Joy E. Arakaki, Colette M. DeLizo, Stephanie Q. Dinh, Rory M. Donovan-Maiye, Matthew Hirano, Angelique M. Nelson, Joyce Tang, Julie A. Theriot, Calysta Yan, Vilas Menon, Sean P. Palecek, Georg Seelig, Ruwanthi N. Gunawardane
Publikováno v: Scientific Reports, Vol 11, Iss 1, Pp 1-21 (2021)
Abstract We performed a comprehensive analysis of the transcriptional changes occurring during human induced pluripotent stem cell (hiPSC) differentiation to cardiomyocytes. Using single cell RNA-seq, we sequenced > 20,000 single cells from 55 indepe
Externí odkaz: https://doaj.org/article/d4fb933e376547c486f87bcf5fd17339
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2
Akademický článek
A deep generative model of 3D single-cell organization.
Autor: Rory M Donovan-Maiye, Jackson M Brown, Caleb K Chan, Liya Ding, Calysta Yan, Nathalie Gaudreault, Julie A Theriot, Mary M Maleckar, Theo A Knijnenburg, Gregory R Johnson
Publikováno v: PLoS Computational Biology, Vol 18, Iss 1, p e1009155 (2022)
We introduce a framework for end-to-end integrative modeling of 3D single-cell multi-channel fluorescent image data of diverse subcellular structures. We employ stacked conditional β-variational autoencoders to first learn a latent representation of
Externí odkaz: https://doaj.org/article/01a428aaa62048a293fee6809efd8248
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3
Integrated intracellular organization and its variations in human iPS cells
Autor: Matheus P. Viana, Jianxu Chen, Theo A. Knijnenburg, Ritvik Vasan, Calysta Yan, Joy E. Arakaki, Matte Bailey, Ben Berry, Antoine Borensztejn, Eva M. Brown, Sara Carlson, Julie A. Cass, Basudev Chaudhuri, Kimberly R. Cordes Metzler, Mackenzie E. Coston, Zach J. Crabtree, Steve Davidson, Colette M. DeLizo, Shailja Dhaka, Stephanie Q. Dinh, Thao P. Do, Justin Domingus, Rory M. Donovan-Maiye, Alexandra J. Ferrante, Tyler J. Foster, Christopher L. Frick, Griffin Fujioka, Margaret A. Fuqua, Jamie L. Gehring, Kaytlyn A. Gerbin, Tanya Grancharova, Benjamin W. Gregor, Lisa J. Harrylock, Amanda Haupt, Melissa C. Hendershott, Caroline Hookway, Alan R. Horwitz, H. Christopher Hughes, Eric J. Isaac, Gregory R. Johnson, Brian Kim, Andrew N. Leonard, Winnie W. Leung, Jordan J. Lucas, Susan A. Ludmann, Blair M. Lyons, Haseeb Malik, Ryan McGregor, Gabe E. Medrash, Sean L. Meharry, Kevin Mitcham, Irina A. Mueller, Timothy L. Murphy-Stevens, Aditya Nath, Angelique M. Nelson, Sandra A. Oluoch, Luana Paleologu, T. Alexander Popiel, Megan M. Riel-Mehan, Brock Roberts, Lisa M. Schaefbauer, Magdalena Schwarzl, Jamie Sherman, Sylvain Slaton, M. Filip Sluzewski, Jacqueline E. Smith, Youngmee Sul, Madison J. Swain-Bowden, W. Joyce Tang, Derek J. Thirstrup, Daniel M. Toloudis, Andrew P. Tucker, Veronica Valencia, Winfried Wiegraebe, Thushara Wijeratna, Ruian Yang, Rebecca J. Zaunbrecher, Ramon Lorenzo D. Labitigan, Adrian L. Sanborn, Graham T. Johnson, Ruwanthi N. Gunawardane, Nathalie Gaudreault, Julie A. Theriot, Susanne M. Rafelski
Publikováno v: Nature. 613:345-354
Understanding how a subset of expressed genes dictates cellular phenotype is a considerable challenge owing to the large numbers of molecules involved, their combinatorics and the plethora of cellular behaviours that they determine1,2. Here we reduce
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a684c7c821c5ce222400005b63258558
https://doi.org/10.1038/s41586-022-05563-7
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4
A deep generative model of 3D single-cell organization
Autor: Nathalie Gaudreault, Liya Ding, Jackson M. Brown, Caleb K. Chan, Calysta Yan, Mary M. Maleckar, Rory Donovan-Maiye, Gregory R. Johnson, Theo A. Knijnenburg, Julie A. Theriot
1AbstractWe introduce a framework for end-to-end integrative modeling of 3D single-cell multi-channel fluorescent image data of diverse subcellular structures. We employ stacked conditional β-variational autoencoders to first learn a latent represen
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a086f0c69572d9370eadb452911bc2ec
https://doi.org/10.1101/2021.06.09.447725
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5
A comprehensive analysis of gene expression changes in a high replicate and open-source dataset of differentiating hiPSC-derived cardiomyocytes
Autor: Ruwanthi N. Gunawardane, Angelique M. Nelson, Matthew Hirano, Stephanie Q. Dinh, Julie A. Theriot, Joyce Tang, Sean P. Palecek, Alexander B. Rosenberg, Joy Arakaki, Vilas Menon, Tanya Grancharova, Calysta Yan, Rory Donovan-Maiye, Georg Seelig, Colette M. DeLizo, Charles M. Roco, Kaytlyn A. Gerbin
Publikováno v: Scientific Reports
Scientific Reports, Vol 11, Iss 1, Pp 1-21 (2021)
We performed a comprehensive analysis of the transcriptional changes within and across cell populations during human induced pluripotent stem cell (hiPSC) differentiation to cardiomyocytes. Using the single cell RNA-seq combinatorial barcoding method
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::089ca8af68f56e05f9ba18c7af9fb200
https://pubmed.ncbi.nlm.nih.gov/34349150
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