Cargando…
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...
Autores principales: | , , , , , , , , , , , , , , , , , , |
---|---|
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 |
_version_ | 1784770771133923328 |
---|---|
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. |
format | Online Article Text |
id | pubmed-9390994 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT katzdanielh proteomicprofilingplatformsheadtoheadleveraginggeneticsandclinicaltraitstocompareaptamerandantibodybasedmethods AT robbinsjeremym proteomicprofilingplatformsheadtoheadleveraginggeneticsandclinicaltraitstocompareaptamerandantibodybasedmethods AT dengshuliang proteomicprofilingplatformsheadtoheadleveraginggeneticsandclinicaltraitstocompareaptamerandantibodybasedmethods AT tahirusmana proteomicprofilingplatformsheadtoheadleveraginggeneticsandclinicaltraitstocompareaptamerandantibodybasedmethods AT bickalexanderg proteomicprofilingplatformsheadtoheadleveraginggeneticsandclinicaltraitstocompareaptamerandantibodybasedmethods AT pampanaakhil proteomicprofilingplatformsheadtoheadleveraginggeneticsandclinicaltraitstocompareaptamerandantibodybasedmethods AT yuzhi proteomicprofilingplatformsheadtoheadleveraginggeneticsandclinicaltraitstocompareaptamerandantibodybasedmethods AT ngodebby proteomicprofilingplatformsheadtoheadleveraginggeneticsandclinicaltraitstocompareaptamerandantibodybasedmethods AT bensonmarkd proteomicprofilingplatformsheadtoheadleveraginggeneticsandclinicaltraitstocompareaptamerandantibodybasedmethods AT chenzsuzsu proteomicprofilingplatformsheadtoheadleveraginggeneticsandclinicaltraitstocompareaptamerandantibodybasedmethods AT cruzdaniele proteomicprofilingplatformsheadtoheadleveraginggeneticsandclinicaltraitstocompareaptamerandantibodybasedmethods AT shendongxiao proteomicprofilingplatformsheadtoheadleveraginggeneticsandclinicaltraitstocompareaptamerandantibodybasedmethods AT gaoyan proteomicprofilingplatformsheadtoheadleveraginggeneticsandclinicaltraitstocompareaptamerandantibodybasedmethods AT bouchardclaude proteomicprofilingplatformsheadtoheadleveraginggeneticsandclinicaltraitstocompareaptamerandantibodybasedmethods AT sarzynskimarka proteomicprofilingplatformsheadtoheadleveraginggeneticsandclinicaltraitstocompareaptamerandantibodybasedmethods AT correaadolfo proteomicprofilingplatformsheadtoheadleveraginggeneticsandclinicaltraitstocompareaptamerandantibodybasedmethods AT natarajanpradeep proteomicprofilingplatformsheadtoheadleveraginggeneticsandclinicaltraitstocompareaptamerandantibodybasedmethods AT wilsonjamesg proteomicprofilingplatformsheadtoheadleveraginggeneticsandclinicaltraitstocompareaptamerandantibodybasedmethods AT gersztenroberte proteomicprofilingplatformsheadtoheadleveraginggeneticsandclinicaltraitstocompareaptamerandantibodybasedmethods |