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Automated sample preparation with SP3 for low‐input clinical proteomics
High‐throughput and streamlined workflows are essential in clinical proteomics for standardized processing of samples from a variety of sources, including fresh‐frozen tissue, FFPE tissue, or blood. To reach this goal, we have implemented single‐pot solid‐phase‐enhanced sample preparation (SP3) on a...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6966100/ https://www.ncbi.nlm.nih.gov/pubmed/32129943 http://dx.doi.org/10.15252/msb.20199111 |
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author | Müller, Torsten Kalxdorf, Mathias Longuespée, Rémi Kazdal, Daniel N Stenzinger, Albrecht Krijgsveld, Jeroen |
author_facet | Müller, Torsten Kalxdorf, Mathias Longuespée, Rémi Kazdal, Daniel N Stenzinger, Albrecht Krijgsveld, Jeroen |
author_sort | Müller, Torsten |
collection | PubMed |
description | High‐throughput and streamlined workflows are essential in clinical proteomics for standardized processing of samples from a variety of sources, including fresh‐frozen tissue, FFPE tissue, or blood. To reach this goal, we have implemented single‐pot solid‐phase‐enhanced sample preparation (SP3) on a liquid handling robot for automated processing (autoSP3) of tissue lysates in a 96‐well format. AutoSP3 performs unbiased protein purification and digestion, and delivers peptides that can be directly analyzed by LCMS, thereby significantly reducing hands‐on time, reducing variability in protein quantification, and improving longitudinal reproducibility. We demonstrate the distinguishing ability of autoSP3 to process low‐input samples, reproducibly quantifying 500–1,000 proteins from 100 to 1,000 cells. Furthermore, we applied this approach to a cohort of clinical FFPE pulmonary adenocarcinoma (ADC) samples and recapitulated their separation into known histological growth patterns. Finally, we integrated autoSP3 with AFA ultrasonication for the automated end‐to‐end sample preparation and LCMS analysis of 96 intact tissue samples. Collectively, this constitutes a generic, scalable, and cost‐effective workflow with minimal manual intervention, enabling reproducible tissue proteomics in a broad range of clinical and non‐clinical applications. |
format | Online Article Text |
id | pubmed-6966100 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-69661002020-01-27 Automated sample preparation with SP3 for low‐input clinical proteomics Müller, Torsten Kalxdorf, Mathias Longuespée, Rémi Kazdal, Daniel N Stenzinger, Albrecht Krijgsveld, Jeroen Mol Syst Biol Methods High‐throughput and streamlined workflows are essential in clinical proteomics for standardized processing of samples from a variety of sources, including fresh‐frozen tissue, FFPE tissue, or blood. To reach this goal, we have implemented single‐pot solid‐phase‐enhanced sample preparation (SP3) on a liquid handling robot for automated processing (autoSP3) of tissue lysates in a 96‐well format. AutoSP3 performs unbiased protein purification and digestion, and delivers peptides that can be directly analyzed by LCMS, thereby significantly reducing hands‐on time, reducing variability in protein quantification, and improving longitudinal reproducibility. We demonstrate the distinguishing ability of autoSP3 to process low‐input samples, reproducibly quantifying 500–1,000 proteins from 100 to 1,000 cells. Furthermore, we applied this approach to a cohort of clinical FFPE pulmonary adenocarcinoma (ADC) samples and recapitulated their separation into known histological growth patterns. Finally, we integrated autoSP3 with AFA ultrasonication for the automated end‐to‐end sample preparation and LCMS analysis of 96 intact tissue samples. Collectively, this constitutes a generic, scalable, and cost‐effective workflow with minimal manual intervention, enabling reproducible tissue proteomics in a broad range of clinical and non‐clinical applications. John Wiley and Sons Inc. 2020-01-16 /pmc/articles/PMC6966100/ /pubmed/32129943 http://dx.doi.org/10.15252/msb.20199111 Text en © 2020 The Authors. Published under the terms of the CC BY 4.0 license This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Methods Müller, Torsten Kalxdorf, Mathias Longuespée, Rémi Kazdal, Daniel N Stenzinger, Albrecht Krijgsveld, Jeroen Automated sample preparation with SP3 for low‐input clinical proteomics |
title | Automated sample preparation with SP3 for low‐input clinical proteomics |
title_full | Automated sample preparation with SP3 for low‐input clinical proteomics |
title_fullStr | Automated sample preparation with SP3 for low‐input clinical proteomics |
title_full_unstemmed | Automated sample preparation with SP3 for low‐input clinical proteomics |
title_short | Automated sample preparation with SP3 for low‐input clinical proteomics |
title_sort | automated sample preparation with sp3 for low‐input clinical proteomics |
topic | Methods |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6966100/ https://www.ncbi.nlm.nih.gov/pubmed/32129943 http://dx.doi.org/10.15252/msb.20199111 |
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