Evidence map›Paper›PMID 39193414›Full record

ArticleClinical mass spectrometry (Del Mar, Calif.)2017

Manipulating trypsin digestion conditions to accelerate proteolysis and simplify digestion workflows in development of protein mass spectrometric assays for the clinical laboratory.

Yu Zi Zheng, Mari L DeMarco

Erratum issuedAbstract read
In one paragraph

Article in Clinical mass spectrometry (Del Mar, Calif.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

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  8. Review
  9. Cheaper, faster, simpler trypsin digestion for high-throughput targeted protein quantification.Journal of mass spectrometry and advances in the clinical lab · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Yu Zi ZhengDepartment of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, Canada.
Mari L DeMarcoDepartment of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For ease of measurement and accurate identification of proteins by mass spectrometry, protein targets are commonly cleaved into peptides. Protein digestion is a critical step in sample preparation, yielding peptides amenable to both chromatographic separation and mass spectrometric analysis. Trypsin is the most extensively used protease due to its high cleavage specificity; however, it can yield highly variable digestion profiles and is dependent on several factors including digestion buffer, denaturant, trypsin quality selected, and composition/complexity of the sample matrix. Historically, trypsin digestion protocols have relied on lengthy digestion times-which are unsuitable for many clinical applications-to ensure effective proteolysis. Here, we performed an iterative and comprehensive evaluation of digestion conditions for five structurally diverse proteins in plasma and serum: apolipoprotein A-1, retinol-binding protein 4, transthyretin, complement component 9 and C-reactive protein. Conditions were monitored for improvements in signal intensity, reproducibility of digestion profile, and rate of release of proteolytic peptides. This approach yielded an optimized digestion protocol for detection of all five proteins in a single workflow requiring a brief 20 min digestion, without the use of chemical denaturants or reduction/alkylation steps, and only 1 μl of plasma. It is our hope that this data can accelerate the development phase of targeted mass spectrometric protein assays by identifying practical approaches to accelerate and simplify digestion protocols for clinical applications and assist with the selection of tryptic peptides for protein quantitation.

Indexed as

DigestionMass spectrometryPeptideProteinTargeted proteomicsTrypsin

Identifiers

PMID39193414
PMCPMC11322774

What OpenQuestion holds

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Registered trials

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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.