Automated sample preparation with SP3 for low‐input clinical proteomics

Abstract 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 (...

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Main Authors: Torsten Müller, Mathias Kalxdorf, Rémi Longuespée, Daniel N Kazdal, Albrecht Stenzinger, Jeroen Krijgsveld
Format: Article
Language:English
Published: Springer Nature 2020-01-01
Series:Molecular Systems Biology
Subjects:
Online Access:https://doi.org/10.15252/msb.20199111
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author Torsten Müller
Mathias Kalxdorf
Rémi Longuespée
Daniel N Kazdal
Albrecht Stenzinger
Jeroen Krijgsveld
author_facet Torsten Müller
Mathias Kalxdorf
Rémi Longuespée
Daniel N Kazdal
Albrecht Stenzinger
Jeroen Krijgsveld
author_sort Torsten Müller
collection DOAJ
description Abstract 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.
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issn 1744-4292
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spelling doaj-art-bbd2898a56b34226bafb9ba7a5f5aeda2025-08-20T04:02:44ZengSpringer NatureMolecular Systems Biology1744-42922020-01-0116111910.15252/msb.20199111Automated sample preparation with SP3 for low‐input clinical proteomicsTorsten Müller0Mathias Kalxdorf1Rémi Longuespée2Daniel N Kazdal3Albrecht Stenzinger4Jeroen Krijgsveld5German Cancer Research Center (DKFZ)German Cancer Research Center (DKFZ)Department of Clinical Pharmacology and Pharmacoepidemiology, Heidelberg UniversityInstitute of Pathology, Heidelberg UniversityInstitute of Pathology, Heidelberg UniversityGerman Cancer Research Center (DKFZ)Abstract 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.https://doi.org/10.15252/msb.20199111automationclinical proteomicsFFPElow‐inputSP3
spellingShingle Torsten Müller
Mathias Kalxdorf
Rémi Longuespée
Daniel N Kazdal
Albrecht Stenzinger
Jeroen Krijgsveld
Automated sample preparation with SP3 for low‐input clinical proteomics
Molecular Systems Biology
automation
clinical proteomics
FFPE
low‐input
SP3
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 automation
clinical proteomics
FFPE
low‐input
SP3
url https://doi.org/10.15252/msb.20199111
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AT danielnkazdal automatedsamplepreparationwithsp3forlowinputclinicalproteomics
AT albrechtstenzinger automatedsamplepreparationwithsp3forlowinputclinicalproteomics
AT jeroenkrijgsveld automatedsamplepreparationwithsp3forlowinputclinicalproteomics