Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Maulik K Nariya"'
Publikováno v:
PLoS Computational Biology, Vol 16, Iss 12, p e1008492 (2020)
Protein turnover is vital to cellular homeostasis. Many proteins are degraded efficiently only after they have been post-translationally "tagged" with a polyubiquitin chain. Ubiquitylation is a form of Post-Translational Modification (PTM): addition
Externí odkaz:
https://doaj.org/article/6fc4f8f226bf41729d77878cf12e17a1
Publikováno v:
PLoS Computational Biology, Vol 12, Iss 4, p e1004851 (2016)
Type III Secretion Systems (T3SS) are complex bacterial structures that provide gram-negative pathogens with a unique virulence mechanism whereby they grow a needle-like structure in order to inject bacterial effector proteins into the cytoplasm of a
Externí odkaz:
https://doaj.org/article/fa2aa089727b4474b796ddfaf05d5686
Autor:
Marian Kalocsay, Matthew J. Berberich, Robert A. Everley, Maulik K. Nariya, Mirra Chung, Benjamin Gaudio, Chiara Victor, Gary A. Bradshaw, Robyn J. Eisert, Marc Hafner, Peter K. Sorger, Caitlin E. Mills, Kartik Subramanian
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-9 (2023)
Abstract We performed quantitative proteomics on 60 human-derived breast cancer cell line models to a depth of ~13,000 proteins. The resulting high-throughput datasets were assessed for quality and reproducibility. We used the datasets to identify an
Externí odkaz:
https://doaj.org/article/d36f69bd2a254d5687bc8e7f98e95fc1
Autor:
Jia-Ren Lin, Shu Wang, Shannon Coy, Yu-An Chen, Clarence Yapp, Madison Tyler, Maulik K. Nariya, Cody N. Heiser, Ken S. Lau, Sandro Santagata, Peter K. Sorger
Publikováno v:
Cell
Advanced solid cancers are complex assemblies of tumor, immune, and stromal cells characterized by high intratumoral variation. We use highly multiplexed tissue imaging, 3D reconstruction, spatial statistics, and machine learning to identify cell typ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a9418a04f7da30349a3fcff8f61873ef
https://europepmc.org/articles/PMC10019067/
https://europepmc.org/articles/PMC10019067/
Autor:
Samouil L. Farhi, Robert J. Coffey, Eliot T. McKinley, Sandro Santagata, Artem Sokolov, Clarence Yapp, Jia-Ren Lin, Yu-An Chen, Juha Ruokonen, Connor A. Jacobson, Denis Schapiro, Maulik K. Nariya, Aviv Regev, Courtney Betts, Lisa M. Coussens, Domenic Abbondanza, Jeremy L. Muhlich, Gregory J. Baker, Joshua Hess, Peter K. Sorger, Zoltan Maliga
Highly multiplexed tissue imaging makes molecular analysis of single cells possible in a preserved spatial context. However, reproducible analysis of the underlying data poses a substantial computational challenge. Here we describe a modular and open
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::027b4a0010207582321f28904d873a3e
https://doi.org/10.1101/2021.03.15.435473
https://doi.org/10.1101/2021.03.15.435473
Autor:
Artem Sokolov, Jeremy Goecks, Courtney Betts, Yu-An Chen, Clarence Yapp, Domenic Abbondanza, Ajit J. Nirmal, Samouil L. Farhi, Robert J. Coffey, Lisa M. Coussens, Aviv Regev, Connor A. Jacobson, Jia-Ren Lin, Juha Ruokonen, Denis Schapiro, Shamilene Sivagnanam, Gregory J. Baker, Daniel Persson, Joshua Hess, Peter K. Sorger, Zoltan Maliga, Jeremy L. Muhlich, Eliot T. McKinley, Maulik K. Nariya, Sandro Santagata, Matthew W. Hodgman, Allison L. Creason
Publikováno v:
Nat Methods
Highly multiplexed tissue imaging makes detailed molecular analysis of single cells possible in a preserved spatial context. However, reproducible analysis of large multichannel images poses a substantial computational challenge. Here, we describe a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::989aa17e26d8db3260f142116917dd39
https://pubmed.ncbi.nlm.nih.gov/34824477
https://pubmed.ncbi.nlm.nih.gov/34824477
Autor:
Ben Gaudio, Peter K. Sorger, Robert A. Everley, Caitlin E. Mills, Marian Kalocsay, Matthew J. Berberich, Chiara Victor, Marc Hafner, Mirra Chung, Gary A. Bradshaw, Kartik Subramanian, Maulik K. Nariya
We performed quantitative proteomics on 60 human-derived breast cancer cell lines to a depth of ~13,000 proteins. The resulting high-throughput datasets were assessed for quality and reproducibility. We used the datasets to identify and characterize
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::40478409793819e8d4dca2afaaacb420
https://doi.org/10.1101/2020.12.15.422823
https://doi.org/10.1101/2020.12.15.422823
Publikováno v:
Biophys J
Biophysical journal, vol 120, iss 17
Biophysical journal, vol 120, iss 17
Bacterial cells construct many structures, such as the flagellar hook and the type III secretion system (T3SS) injectisome, that aid in crucial physiological processes such as locomotion and pathogenesis. Both of these structures involve long extrace
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::361fed7e123791a3abff8128668baa87
https://pubmed.ncbi.nlm.nih.gov/34246629
https://pubmed.ncbi.nlm.nih.gov/34246629
Autor:
Jian Xiong, Peter A. Kleindl, C. Russell Middaugh, M. Laird Forrest, David B. Volkin, Christian Schöneich, Eric J. Deeds, Maulik K. Nariya, Asha Hewarathna, Sangeeta B. Joshi, Olivier Mozziconacci, Adam C. Fisher
Publikováno v:
Journal of Pharmaceutical Sciences. 106:3257-3269
As the second of a 3-part series of articles in this issue concerning the development of a mathematical model for comparative characterization of complex mixture drugs using crofelemer (CF) as a model compound, this work focuses on the evaluation of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::23be0636baa516dc5c22b136b6e144a4
https://doi.org/10.1016/j.xphs.2017.06.022
https://doi.org/10.1016/j.xphs.2017.06.022
Bacteria construct many structures, like the flagellar hook and the type III secretion system, that aid in crucial processes such as locomotion and pathogenesis. Experimental work has suggested two competing mechanisms bacteria could use to regulate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee9df9b99a695f2edc9e3610373a4e4a