Automated sample preparation with SP3 for low‐input clinical proteomics. Issue 1 (16th January 2020)
- Record Type:
- Journal Article
- Title:
- Automated sample preparation with SP3 for low‐input clinical proteomics. Issue 1 (16th January 2020)
- Main Title:
- Automated sample preparation with SP3 for low‐input clinical proteomics
- Authors:
- Müller, Torsten
Kalxdorf, Mathias
Longuespée, Rémi
Kazdal, Daniel N
Stenzinger, Albrecht
Krijgsveld, Jeroen - Abstract:
- 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. Synopsis: The study presents an automated sample preparation pipeline for low‐input proteomics based on the SP3 method. TheAbstract: 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. Synopsis: The study presents an automated sample preparation pipeline for low‐input proteomics based on the SP3 method. The seamless integration of tissue lysis with autoSP3 in a 96‐well format features low variability, high sensitivity and longitudinal reproducibility for clinical studies. An automated, scalable, and cost‐effective workflow (autoSP3) allows reproducible tissue proteomics in a broad range of clinical and non‐clinical applications. Automated tissue lysis is integrated with autoSP3 for an end‐to‐end workflow with minimal manual interference. The workflow allows reduced variability in protein quantification and increased longitudinal reproducibility. Minimal sample losses facilitate low‐input applications in a standardized workflow. Abstract : The study presents an automated sample preparation pipeline for low‐input proteomics based on the SP3 method. The seamless integration of tissue lysis with autoSP3 in a 96‐well format features low variability, high sensitivity and longitudinal reproducibility for clinical studies. … (more)
- Is Part Of:
- Molecular systems biology. Volume 16:Issue 1(2020)
- Journal:
- Molecular systems biology
- Issue:
- Volume 16:Issue 1(2020)
- Issue Display:
- Volume 16, Issue 1 (2020)
- Year:
- 2020
- Volume:
- 16
- Issue:
- 1
- Issue Sort Value:
- 2020-0016-0001-0000
- Page Start:
- n/a
- Page End:
- n/a
- Publication Date:
- 2020-01-16
- Subjects:
- automation -- clinical proteomics -- FFPE -- low‐input -- SP3
Molecular biology -- Periodicals
Systems biology -- Periodicals
572.8 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1744-4292 ↗
http://www.nature.com/msb/index.html ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.15252/msb.20199111 ↗
- Languages:
- English
- ISSNs:
- 1744-4292
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5900.856300
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British Library HMNTS - ELD Digital store - Ingest File:
- 12712.xml