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Proteomic profiling platforms head to head: Leveraging genetics and clinical traits to compare aptamer- and antibody-based methods

High-throughput proteomic profiling using antibody or aptamer-based affinity reagents is used increasingly in human studies. However, direct analyses to address the relative strengths and weaknesses of these platforms are lacking. We assessed findings from the SomaScan1.3K (N = 1301 reagents), the S...

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Autores principales: Katz, Daniel H., Robbins, Jeremy M., Deng, Shuliang, Tahir, Usman A., Bick, Alexander G., Pampana, Akhil, Yu, Zhi, Ngo, Debby, Benson, Mark D., Chen, Zsu-Zsu, Cruz, Daniel E., Shen, Dongxiao, Gao, Yan, Bouchard, Claude, Sarzynski, Mark A., Correa, Adolfo, Natarajan, Pradeep, Wilson, James G., Gerszten, Robert E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9390994/
https://www.ncbi.nlm.nih.gov/pubmed/35984888
http://dx.doi.org/10.1126/sciadv.abm5164
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author Katz, Daniel H.
Robbins, Jeremy M.
Deng, Shuliang
Tahir, Usman A.
Bick, Alexander G.
Pampana, Akhil
Yu, Zhi
Ngo, Debby
Benson, Mark D.
Chen, Zsu-Zsu
Cruz, Daniel E.
Shen, Dongxiao
Gao, Yan
Bouchard, Claude
Sarzynski, Mark A.
Correa, Adolfo
Natarajan, Pradeep
Wilson, James G.
Gerszten, Robert E.
author_facet Katz, Daniel H.
Robbins, Jeremy M.
Deng, Shuliang
Tahir, Usman A.
Bick, Alexander G.
Pampana, Akhil
Yu, Zhi
Ngo, Debby
Benson, Mark D.
Chen, Zsu-Zsu
Cruz, Daniel E.
Shen, Dongxiao
Gao, Yan
Bouchard, Claude
Sarzynski, Mark A.
Correa, Adolfo
Natarajan, Pradeep
Wilson, James G.
Gerszten, Robert E.
author_sort Katz, Daniel H.
collection PubMed
description High-throughput proteomic profiling using antibody or aptamer-based affinity reagents is used increasingly in human studies. However, direct analyses to address the relative strengths and weaknesses of these platforms are lacking. We assessed findings from the SomaScan1.3K (N = 1301 reagents), the SomaScan5K platform (N = 4979 reagents), and the Olink Explore (N = 1472 reagents) profiling techniques in 568 adults from the Jackson Heart Study and 219 participants in the HERITAGE Family Study across four performance domains: precision, accuracy, analytic breadth, and phenotypic associations leveraging detailed clinical phenotyping and genetic data. Across these studies, we show evidence supporting more reliable protein target specificity and a higher number of phenotypic associations for the Olink platform, while the Soma platforms benefit from greater measurement precision and analytic breadth across the proteome.
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spelling pubmed-93909942022-08-26 Proteomic profiling platforms head to head: Leveraging genetics and clinical traits to compare aptamer- and antibody-based methods Katz, Daniel H. Robbins, Jeremy M. Deng, Shuliang Tahir, Usman A. Bick, Alexander G. Pampana, Akhil Yu, Zhi Ngo, Debby Benson, Mark D. Chen, Zsu-Zsu Cruz, Daniel E. Shen, Dongxiao Gao, Yan Bouchard, Claude Sarzynski, Mark A. Correa, Adolfo Natarajan, Pradeep Wilson, James G. Gerszten, Robert E. Sci Adv Biomedicine and Life Sciences High-throughput proteomic profiling using antibody or aptamer-based affinity reagents is used increasingly in human studies. However, direct analyses to address the relative strengths and weaknesses of these platforms are lacking. We assessed findings from the SomaScan1.3K (N = 1301 reagents), the SomaScan5K platform (N = 4979 reagents), and the Olink Explore (N = 1472 reagents) profiling techniques in 568 adults from the Jackson Heart Study and 219 participants in the HERITAGE Family Study across four performance domains: precision, accuracy, analytic breadth, and phenotypic associations leveraging detailed clinical phenotyping and genetic data. Across these studies, we show evidence supporting more reliable protein target specificity and a higher number of phenotypic associations for the Olink platform, while the Soma platforms benefit from greater measurement precision and analytic breadth across the proteome. American Association for the Advancement of Science 2022-08-19 /pmc/articles/PMC9390994/ /pubmed/35984888 http://dx.doi.org/10.1126/sciadv.abm5164 Text en Copyright © 2022 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (https://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited.
spellingShingle Biomedicine and Life Sciences
Katz, Daniel H.
Robbins, Jeremy M.
Deng, Shuliang
Tahir, Usman A.
Bick, Alexander G.
Pampana, Akhil
Yu, Zhi
Ngo, Debby
Benson, Mark D.
Chen, Zsu-Zsu
Cruz, Daniel E.
Shen, Dongxiao
Gao, Yan
Bouchard, Claude
Sarzynski, Mark A.
Correa, Adolfo
Natarajan, Pradeep
Wilson, James G.
Gerszten, Robert E.
Proteomic profiling platforms head to head: Leveraging genetics and clinical traits to compare aptamer- and antibody-based methods
title Proteomic profiling platforms head to head: Leveraging genetics and clinical traits to compare aptamer- and antibody-based methods
title_full Proteomic profiling platforms head to head: Leveraging genetics and clinical traits to compare aptamer- and antibody-based methods
title_fullStr Proteomic profiling platforms head to head: Leveraging genetics and clinical traits to compare aptamer- and antibody-based methods
title_full_unstemmed Proteomic profiling platforms head to head: Leveraging genetics and clinical traits to compare aptamer- and antibody-based methods
title_short Proteomic profiling platforms head to head: Leveraging genetics and clinical traits to compare aptamer- and antibody-based methods
title_sort proteomic profiling platforms head to head: leveraging genetics and clinical traits to compare aptamer- and antibody-based methods
topic Biomedicine and Life Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9390994/
https://www.ncbi.nlm.nih.gov/pubmed/35984888
http://dx.doi.org/10.1126/sciadv.abm5164
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