ReviewMolecular omics2022
Advancements in automation for plasma proteomics sample preparation.
Review in Molecular omics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed, 18 citations in OpenAlex.
- Modification of a Low-Cost Pipetting Robot for Nanoliter Liquid Handling and Autosampling for Liquid Chromatography-Mass Spectrometry.Journal of separation science · 2026Article
- Development of an Adaptive, Economical, and Easy-to-Use SP3-TMT Automated Sample Preparation Workflow for Quantitative Proteomics.Journal of proteome research · 2025Article
- StageTip: a little giant unveiling the potential of mass spectrometry-based proteomics.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2025Review
- Proteomics as a complementary approach to measure norovirus infection in clinical samples.Virology · 2025Review
- The Circulating Proteome─Technological Developments, Current Challenges, and Future Trends.Journal of proteome research · 2024Article
- Establishing Quality Control Metrics for Large-Scale Plasma Proteomic Sample Preparation.ACS measurement science au · 2024Article
- Instrumentation at the Leading Edge of Proteomics.Analytical chemistry · 2024Review
- Plasma/Serum Proteomics based on Mass Spectrometry.Protein and peptide letters · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
Automation is necessary to increase sample processing throughput for large-scale clinical analyses. Replacement of manual pipettes with robotic liquid handler systems is especially helpful in processing blood-based samples, such as plasma and serum. These samples are very heterogenous, and protein expression can vary greatly from sample-to-sample, even for healthy controls. Detection of true biological changes requires that variation from sample preparation steps and downstream analytical detection methods, such as mass spectrometry, remains low. In this mini-review, we discuss plasma proteomics protocols and the benefits of automation towards enabling detection of low abundant proteins and providing low sample error and increased sample throughput. This discussion includes considerations for automation of major sample depletion and/or enrichment strategies for plasma toward mass spectrometry detection.
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What OpenQuestion holds
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.