Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Hratch Baghdassarian"'
Autor:
Erick Armingol, Abbas Ghaddar, Chintan J Joshi, Hratch Baghdassarian, Isaac Shamie, Jason Chan, Hsuan-Lin Her, Samuel Berhanu, Anushka Dar, Fabiola Rodriguez-Armstrong, Olivia Yang, Eyleen J O'Rourke, Nathan E Lewis
Publikováno v:
PLoS Computational Biology, Vol 18, Iss 11, p e1010715 (2022)
Cell-cell interactions shape cellular function and ultimately organismal phenotype. Interacting cells can sense their mutual distance using combinations of ligand-receptor pairs, suggesting the existence of a spatial code, i.e., signals encoding spat
Externí odkaz:
https://doaj.org/article/fbf28cea235048f493ac6e76bf2459d1
Autor:
Henry Pinkard, Hratch Baghdassarian, Adriana Mujal, Ed Roberts, Kenneth H. Hu, Daniel Haim Friedman, Ivana Malenica, Taylor Shagam, Adam Fries, Kaitlin Corbin, Matthew F. Krummel, Laura Waller
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-14 (2021)
Multiphoton microscopy requires precise increases in excitation power with imaging depth to generate contrast without damaging the sample. Here the authors show how an adaptive illumination function can be learned from the sample’s shape and used f
Externí odkaz:
https://doaj.org/article/fcc73bb7eff54047abea2f8a85694bb0
Autor:
Hratch Baghdassarian, Sarah A. Blackstone, Owen S. Clay, Rachael Philips, Brynja Matthiasardottir, Michele Nehrebecky, Vivian K. Hua, Rachael McVicar, Yang Liu, Suzanne M. Tucker, Davide Randazzo, Natalie Deuitch, Sofia Rosenzweig, Adam Mark, Roman Sasik, Kathleen M. Fisch, Pallavi Pimpale Chavan, Elif Eren, Norman R. Watts, Chi A. Ma, Massimo Gadina, Daniella M. Schwartz, Anwesha Sanyal, Giffin Werner, David R. Murdock, Nobuyuki Horita, Shimul Chowdhury, David Dimmock, Kristen Jepsen, Elaine F. Remmers, Raphaela Goldbach-Mansky, William A. Gahl, John J. O’Shea, Joshua D. Milner, Nathan E. Lewis, Johanna Chang, Daniel L. Kastner, Kathryn Torok, Hirotsugu Oda, Christopher D. Putnam, Lori Broderick
Publikováno v:
New England Journal of Medicine.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::305571e746cdfcf91e3585060d4f8b12
https://doi.org/10.1056/nejmoa2202318
https://doi.org/10.1056/nejmoa2202318
Publikováno v:
bioRxiv
In recent years, data-driven inference of cell-cell communication has helped reveal coordinated biological processes across cell types. While multiple cell-cell communication tools exist, results are specific to the tool of choice, due to the diverse
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b7cf272b9e583d151fb472af819b336
https://europepmc.org/articles/PMC10168343/
https://europepmc.org/articles/PMC10168343/
Cell-cell communication involves multiple classes of molecules, diverse interacting cells, and complex spatiotemporal dynamics. While this communication can be inferred from single-cell RNA-seq, no computational methods can account for both protein a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ddb1f885bce3aeff94dc0266c5caaec
https://doi.org/10.1101/2022.11.02.514917
https://doi.org/10.1101/2022.11.02.514917