ArticleJournal of proteome research2018
Highly Reproducible Automated Proteomics Sample Preparation Workflow for Quantitative Mass Spectrometry.
Article in Journal of proteome research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
51 citing papers in PubMed.
- Development and Integrated Application of the Multi-Attribute Method (MAM) in Quality Control of Biotechnological Drugs.Biotechnology and bioengineering · 2026Review
- High-Throughput Proteomics Sample Preparation Using a 96-Channel Pipettor and Magnetic Pin Device.Journal of proteome research · 2026Article
- Performance Characteristics of Zeno Trap Scanning DIA for Sensitive and Quantitative Proteomics at High Throughput.Proteomics · 2026Article
- Development of an Adaptive, Economical, and Easy-to-Use SP3-TMT Automated Sample Preparation Workflow for Quantitative Proteomics.Journal of proteome research · 2025Article
- Discovering organic reactions with a machine-learning-powered deciphering of tera-scale mass spectrometry data.Nature communications · 2025Article
- Comprehensive Overview of Bottom-Up Proteomics Using Mass Spectrometry.ACS measurement science au · 2024Review
- Establishing Quality Control Metrics for Large-Scale Plasma Proteomic Sample Preparation.ACS measurement science au · 2024Article
- A proximity proteomics pipeline with improved reproducibility and throughput.Molecular systems biology · 2024Article
- The Future of Proteomics is Up in the Air: Can Ion Mobility Replace Liquid Chromatography for High Throughput Proteomics?Journal of proteome research · 2024Review
- Instrumentation at the Leading Edge of Proteomics.Analytical chemistry · 2024Review
- A proximity proteomics pipeline with improved reproducibility and throughput.bioRxiv : the preprint server for biology · 2024Article
- Integrating Artificial Intelligence for Advancing Multiple-Cancer Early Detection via Serum Biomarkers: A Narrative Review.Cancers · 2024Review
- Identifying novel biomarkers using proteomics to predict cancer-associated thrombosis.Bleeding, thrombosis and vascular biology · 2024Article
- Automation to Enable High-Throughput Chemical Proteomics.Journal of proteome research · 2023Review
- Article
- Automated Sample Preparation Workflow for Tandem Mass Tag-Based Proteomics.Journal of the American Society for Mass Spectrometry · 2023Article
- Assessment of a 60-Biomarker Health Surveillance Panel (HSP) on Whole Blood from Remote Sampling Devices by Targeted LC/MRM-MS and Discovery DIA-MS Analysis.Analytical chemistry · 2023Article
- Quantitative protein biomarker panels: a path to improved clinical practice through proteomics.EMBO molecular medicine · 2023Article
- Bottom-Up Proteomics: Advancements in Sample Preparation.International journal of molecular sciences · 2023Review
- Automated proteomic sample preparation: The key component for high throughput and quantitative mass spectrometry analysis.Mass spectrometry reviews · 2023Review
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Sample preparation for protein quantification by mass spectrometry requires multiple processing steps including denaturation, reduction, alkylation, protease digestion, and peptide cleanup. Scaling these procedures for the analysis of numerous complex biological samples can be tedious and time-consuming, as there are many liquid transfer steps and timed reactions where technical variations can be introduced and propagated. We established an automated sample preparation workflow with a total processing time for 96 samples of 5 h, including a 2 h incubation with trypsin. Peptide cleanup is accomplished by online diversion during the LC/MS/MS analysis. In a selected reaction monitoring (SRM) assay targeting 6 plasma biomarkers and spiked β-galactosidase, mean intraday and interday cyclic voltammograms (CVs) for 5 serum and 5 plasma samples over 5 days were <20%. In a highly multiplexed SRM assay targeting more than 70 proteins, 90% of the transitions from 6 plasma samples repeated on 3 separate days had total CVs below 20%. Similar results were obtained when the workflow was transferred to a second site: 93% of peptides had CVs below 20%. An automated trypsin digestion workflow yields uniformly processed samples in less than 5 h. Reproducible quantification of peptides was observed across replicates, days, instruments, and laboratory sites, demonstrating the broad applicability of this approach.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.