Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Ryan W. Benz"'
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 (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/4c979823f90c4ce7aea9a607a688c322
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
Autor:
Thomas C Whisenant, David T Ho, Ryan W Benz, Jeffrey S Rogers, Robyn M Kaake, Elizabeth A Gordon, Lan Huang, Pierre Baldi, Lee Bardwell
Publikováno v:
PLoS Computational Biology, Vol 6, Iss 8 (2010)
In order to fully understand protein kinase networks, new methods are needed to identify regulators and substrates of kinases, especially for weakly expressed proteins. Here we have developed a hybrid computational search algorithm that combines mach
Externí odkaz:
https://doaj.org/article/bd7cc5262aca4cefad1a00f3a405e596
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
Autor:
Athit Kao, Lisa J. Croner, Jesper Vilandt, Jia You, Michael Klærke, Bruce Wilcox, Thore Hillig, Søren Laurberg, Ib Jarle Christensen, Roslyn Dillon, John E. Blume, Lars N. Jorgensen, Knud T. Nielsen, Jeffrey J. Jones, Mogens Madsen, Hans Jørgen Nielsen, Michael Wilhelmsen, Ryan W. Benz, Nils Brünner
Publikováno v:
The Journal of Applied Laboratory Medicine. 1:181-193
Background Well-collected and well-documented sample repositories are necessary for disease biomarker development. The availability of significant numbers of samples with the associated patient information enables biomarker validation to proceed with
Publikováno v:
Journal of proteomics. 187
Over the past 20 years, mass spectrometry (MS) has emerged as a dynamic tool for proteomics biomarker discovery. However, published MS biomarker candidates often do not translate to the clinic, failing during attempts at independent replication. The
Autor:
Ib Jarle Christensen, John E. Blume, Roslyn Dillon, Hans Jørgen Nielsen, Stefanie N. Kairs, Lisa J. Croner, Bruce Wilcox, Athit Kao, Ryan W. Benz
Publikováno v:
Clinical Proteomics
Croner, L J, Dillon, R, Kao, A, Kairs, S N, Benz, R, Christensen, I J, Nielsen, H J, Blume, J E & Wilcox, B 2017, ' Discovery and validation of a colorectal cancer classifier in a new blood test with improved performance for high-risk subjects ', Clinical Proteomics, vol. 14, 28 . https://doi.org/10.1186/s12014-017-9163-z
Clinical Proteomics, Vol 14, Iss 1, Pp 1-12 (2017)
Croner, L J, Dillon, R, Kao, A, Kairs, S N, Benz, R, Christensen, I J, Nielsen, H J, Blume, J E & Wilcox, B 2017, ' Discovery and validation of a colorectal cancer classifier in a new blood test with improved performance for high-risk subjects ', Clinical Proteomics, vol. 14, 28 . https://doi.org/10.1186/s12014-017-9163-z
Clinical Proteomics, Vol 14, Iss 1, Pp 1-12 (2017)
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 assay format
Autor:
Pierre Baldi, Ryan W. Benz
Publikováno v:
ISMB
Bioinformatics
Bioinformatics
Motivation: Small organic molecules, from nucleotides and amino acids to metabolites and drugs, play a fundamental role in chemistry, biology and medicine. As databases of small molecules continue to grow and become more open, it is important to deve
Publikováno v:
Journal of Chemical Information and Modeling. 48:1138-1151
Power-law distributions have been observed in a wide variety of areas. To our knowledge however, there has been no systematic observation of power-law distributions in chemoinformatics. Here, we present several examples of power-law distributions ari
Autor:
John E. Blume, W. Daniel Hillis, Heather Skor, William F. Smith, Lisa J. Croner, Athit Kao, Bruce Wilcox, Ryan Preston, Ryan W. Benz, Roslyn Dillon, Scott R. Schreckengaust, Naveen Babbar, Phong Cun, Genna Boragine, Stefanie N. Kairs, Ted Burrell, Jia You, David B. Agus, Ellen B. Christie, Jeffrey J. Jones
Publikováno v:
Clinical Colorectal Cancer. 15:186-194.e13
Introduction Colorectal cancer (CRC) testing programs reduce mortality; however, approximately 40% of the recommended population who should undergo CRC testing does not. Early colon cancer detection in patient populations ineligible for testing, such