Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Theodore L Platt"'
Autor:
Margaret K R Donovan, Yingxiang Huang, John E Blume, Jian Wang, Daniel Hornburg, Shadi Ferdosi, Iman Mohtashemi, Sangtae Kim, Marwin Ko, Ryan W Benz, Theodore L Platt, Serafim Batzoglou, Luis A Diaz, Omid C Farokhzad, Asim Siddiqui
Publikováno v:
PLoS ONE, Vol 18, Iss 3, p e0282821 (2023)
Advancements in deep plasma proteomics are enabling high-resolution measurement of plasma proteoforms, which may reveal a rich source of novel biomarkers previously concealed by aggregated protein methods. Here, we analyze 188 plasma proteomes from n
Externí odkaz:
https://doaj.org/article/6ed07386973f45a4bd1241bd71b47825
Autor:
John E. Blume, William C. Manning, Gregory Troiano, Daniel Hornburg, Michael Figa, Lyndal Hesterberg, Theodore L. Platt, Xiaoyan Zhao, Rea A. Cuaresma, Patrick A. Everley, Marwin Ko, Hope Liou, Max Mahoney, Shadi Ferdosi, Eltaher M. Elgierari, Craig Stolarczyk, Behzad Tangeysh, Hongwei Xia, Ryan Benz, Asim Siddiqui, Steven A. Carr, Philip Ma, Robert Langer, Vivek Farias, Omid C. Farokhzad
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-14 (2020)
Large-scale, unbiased proteomics studies of biological samples like plasma are constrained by the complexity of the proteome. Herein, the authors develop a highly parallel protein quantitation platform leveraging multi nanoparticle protein coronas fo
Externí odkaz:
https://doaj.org/article/d3c8b28ba0034c5bb30a513f8c83660d
Autor:
Shadi Ferdosi, Behzad Tangeysh, Tristan R. Brown, Patrick A. Everley, Michael Figa, Matthew McLean, Eltaher M. Elgierari, Xiaoyan Zhao, Veder J. Garcia, Tianyu Wang, Matthew E. K. Chang, Kateryna Riedesel, Jessica Chu, Max Mahoney, Hongwei Xia, Evan S. O’Brien, Craig Stolarczyk, Damian Harris, Theodore L. Platt, Philip Ma, Martin Goldberg, Robert Langer, Mark R. Flory, Ryan Benz, Wei Tao, Juan Cruz Cuevas, Serafim Batzoglou, John E. Blume, Asim Siddiqui, Daniel Hornburg, Omid C. Farokhzad
Publikováno v:
Proceedings of the National Academy of Sciences. 119
Significance Deep profiling of the plasma proteome at scale has been a challenge for traditional approaches. We achieve superior performance across the dimensions of precision, depth, and throughput using a panel of surface-functionalized superparama
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::813cd42bcfdc8c4af481f4cecc7d649f
https://doi.org/10.1073/pnas.2106053119
https://doi.org/10.1073/pnas.2106053119
Autor:
Rea A. Cuaresma, Robert Langer, Xiaoyan Zhao, Lyndal K. Hesterberg, Daniel Hornburg, Asim Siddiqui, Hongwei Xia, Philip Ma, Steven A. Carr, Omid C. Farokhzad, Behzad Tangeysh, Shadi Ferdosi, Hope Liou, William C. Manning, John E. Blume, Greg Troiano, Max Mahoney, Stolarczyk Craig, Michael Figa, Patrick A. Everley, Eltaher M. Elgierari, Theodore L. Platt, Ryan W. Benz, Marwin Ko, Vivek F. Farias
Publikováno v:
Nature Communications
Nature Communications, Vol 11, Iss 1, Pp 1-14 (2020)
Nature Communications, Vol 11, Iss 1, Pp 1-14 (2020)
Large-scale, unbiased proteomics studies are constrained by the complexity of the plasma proteome. Here we report a highly parallel protein quantitation platform integrating nanoparticle (NP) protein coronas with liquid chromatography-mass spectromet
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c3b4bc33cb903e10f73de090437df41
https://doi.org/10.1038/s41467-020-17033-7
https://doi.org/10.1038/s41467-020-17033-7
Autor:
Omid C. Farokhzad, Serafim Batzoglou, John E. Blume, Asim Siddiqui, Theodore L. Platt, Juan C. Cuevas, Ryan W. Benz, Marwin Ko, Margaret K. Donovan
Publikováno v:
Cancer Research. 81:2537-2537
Introduction: Our ~20,000 genes encode over ~1 million protein variants because of alternative splice forms, allelic variation and protein modification. Large-scale genomics studies over the last decade have markedly increased our understanding of ca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b86b10cdea22b0871cacd69019d766db
https://doi.org/10.1158/1538-7445.am2021-2537
https://doi.org/10.1158/1538-7445.am2021-2537