Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Ryan Benz"'
Autor:
Nadia Houerbi, JangKeun Kim, Eliah G. Overbey, Richa Batra, Annalise Schweickart, Laura Patras, Serena Lucotti, Krista A. Ryon, Deena Najjar, Cem Meydan, Namita Damle, Christopher Chin, S. Anand Narayanan, Joseph W. Guarnieri, Gabrielle Widjaja, Afshin Beheshti, Gabriel Tobias, Fanny Vatter, Jeremy Wain Hirschberg, Ashley Kleinman, Evan E. Afshin, Matthew MacKay, Qiuying Chen, Dawson Miller, Aaron S. Gajadhar, Lucy Williamson, Purvi Tandel, Qiu Yang, Jessica Chu, Ryan Benz, Asim Siddiqui, Daniel Hornburg, Steven Gross, Bader Shirah, Jan Krumsiek, Jaime Mateus, Xiao Mao, Irina Matei, Christopher E. Mason
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-17 (2024)
Abstract As spaceflight becomes more common with commercial crews, blood-based measures of crew health can guide both astronaut biomedicine and countermeasures. By profiling plasma proteins, metabolites, and extracellular vesicles/particles (EVPs) fr
Externí odkaz:
https://doaj.org/article/247c896f001a435c9ecc55bb10c04051
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:
Lisa J. Croner, Roslyn Dillon, Athit Kao, Stefanie N. Kairs, Ryan Benz, Ib J. Christensen, Hans J. Nielsen, John E. Blume, Bruce Wilcox
Publikováno v:
Clinical Proteomics, Vol 14, Iss 1, Pp 1-12 (2017)
Abstract Background The aim was to improve upon an existing blood-based colorectal cancer (CRC) test directed to high-risk symptomatic patients, by developing a new CRC classifier to be used with a new test embodiment. The new test uses a robust assa
Externí odkaz:
https://doaj.org/article/1dd7c8c3e82645e28c30c9ec3bba285f
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
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::27be0821f058cc98c103d35a1a6d8f33
https://doi.org/10.2139/ssrn.4124413
https://doi.org/10.2139/ssrn.4124413
Autor:
Matthew G. Gornet, Adam B. Olshen, Anne G. Copay, Robert K. Eastlack, Ryan Benz, Jeffrey C. Lotz, John P. Claude, James C. Peacock, Francine W. Schranck
Publikováno v:
European Spine Journal. 28:674-687
The goal of this study was to refine clinical MRS to optimize performance and then determine whether MRS-derived biomarkers reliably identify painful discs, quantify degeneration severity, and forecast surgical outcomes for chronic low back pain (CLB
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1b100ce314da678e8c80ba5009f96135
https://doi.org/10.1007/s00586-018-05873-3
https://doi.org/10.1007/s00586-018-05873-3
Autor:
Mahdi Zamanighomi, Harendra Guturu, Jian Wang, Amir Alavi, Tristan Brown, Daniel Hornburg, Moaraj Hasan, Shadi Ferdosi, Khatereh Motamedchaboki, Margaret Donovan, Theodore Platt, Ryan Benz, Asim Siddiqui, Serafim Batzoglou
Publikováno v:
Cancer Research. 82:6339-6339
Our ~20,000 genes encode over one million protein variants, given alternative splice forms, allelic variation, and protein modification. Though large-scale genomics studies have expanded our understanding of biology, similarly, scaled deep and untarg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dcc77b4c9a0a45e931a93c259b7d74d0
https://doi.org/10.1158/1538-7445.am2022-6339
https://doi.org/10.1158/1538-7445.am2022-6339
Autor:
Margaret Donovan, Henry Huang, John Blume, Marwin Ko, Ryan Benz, Theodore Platt, Juan Cuevas, Serafim Batzoglou, Asim Siddiqui, Omid Farokhzad
Publikováno v:
Cancer Research. 82:6340-6340
Introduction: Comprehensive assessment of the proteome remains elusive because of proteoforms arising from alternative splicing, allelic variation, and protein modifications. Characterization of the variable protein forms, or proteoforms will expand
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db789d9a1057f20824d4e1865eacaeb6
https://doi.org/10.1158/1538-7445.am2022-6340
https://doi.org/10.1158/1538-7445.am2022-6340
Publikováno v:
Volume 6: Ceramics; Controls, Diagnostics, and Instrumentation; Education; Manufacturing Materials and Metallurgy.
A gas turbine engine has supported the U.S. Military Academy’s mechanical engineering program for nearly three decades. Recent, substantial enhancements to the engine, controls, and data acquisition systems greatly increased the student experience
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c8a64b958989bfd56a06c4053bcaa6c2
https://doi.org/10.1115/gt2019-91616
https://doi.org/10.1115/gt2019-91616