Evidence map›Paper›PMID 38325732›Full record

ReviewJournal of proteomics2024

Optimal conditions for carrying out trypsin digestions on complex proteomes: From bulk samples to single cells.

M Shahid Mansuri, Shveta Bathla, TuKiet T Lam, Angus C Nairn, Kenneth R Williams

Abstract readReview
In one paragraph

Review in Journal of proteomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. A Uniquome-Based Method for Proteins Identification by Mass Spectrometry.Methods in molecular biology (Clifton, N.J.) · 2027
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

M Shahid MansuriYale/NIDA Neuroproteomics Center, New Haven, CT 06511, USA; Molecular Biophysics and Biochemistry, Yale University School of Medicine, New Haven, CT 06511, USA. Electronic address: mohammad.mansuri@yale.edu.
Shveta BathlaYale/NIDA Neuroproteomics Center, New Haven, CT 06511, USA; Department of Psychiatry, Yale School of Medicine, New Haven, CT 06511, USA.
TuKiet T LamYale/NIDA Neuroproteomics Center, New Haven, CT 06511, USA; Molecular Biophysics and Biochemistry, Yale University School of Medicine, New Haven, CT 06511, USA; Keck MS & Proteomics Resource, Yale School of Medicine, New Haven, CT 06511, USA.
Angus C NairnYale/NIDA Neuroproteomics Center, New Haven, CT 06511, USA; Department of Psychiatry, Yale School of Medicine, New Haven, CT 06511, USA.
Kenneth R WilliamsYale/NIDA Neuroproteomics Center, New Haven, CT 06511, USA; Molecular Biophysics and Biochemistry, Yale University School of Medicine, New Haven, CT 06511, USA; Keck MS & Proteomics Resource, Yale School of Medicine, New Haven, CT 06511, USA. Electronic address: kenneth.williams@yale.edu.

Funding

Yale/NIDA Neuroproteomics Research CenterP30DA018343 · NIDA · YALE UNIVERSITY · PI Marina R Picciotto · 2004 to 2026
$37.1M
Yale Alzheimer Disease Research CenterP30AG066508 · NIA · YALE UNIVERSITY · PI STEPHEN M STRITTMATTER · 2020 to 2026
$30.2M
Yale Alzheimer Disease Research CenterP50AG047270 · NIA · YALE UNIVERSITY · PI STRITTMATTER, STEPHEN M · 2015 to 2019
$8.3M
The Massachusetts and Yale ADRC Collaborative Proteomic Biofluid Biomarker Discovery ProgramR01AG062306 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI ARNOLD, STEVEN E, CARLYLE, BECKY CATHERINE · 2018 to 2022
$3.5M
NIA NIH HHS P30 AG066508NIA NIH HHS P50 AG047270NIA NIH HHS R01 AG062306NIDA NIH HHS P30 DA018343
6 · The paper itself

Abstract

To identify proteins by the bottom-up mass spectrometry workflow, enzymatic digestion is essential to break down proteins into smaller peptides amenable to both chromatographic separation and mass spectrometric analysis. Trypsin is the most extensively used protease due to its high cleavage specificity and generation of peptides with desirable positively charged N- and C-terminal amino acid residues that are amenable to reverse phase HPLC separation and MS/MS analyses. However, trypsin can yield variable digestion profiles and its protein cleavage activity is interdependent on trypsin source and quality, digestion time and temperature, pH, denaturant, trypsin and substrate concentrations, composition/complexity of the sample matrix, and other factors. There is therefore a need for a more standardized, general-purpose trypsin digestion protocol. Based on a review of the literature we delineate optimal conditions for carrying out trypsin digestions of complex proteomes from bulk samples to limiting amounts of protein extracts. Furthermore, we highlight recent developments and technological advances used in digestion protocols to quantify complex proteomes from single cells. SIGNIFICANCE: Currently, bottom-up MS-based proteomics is the method of choice for global proteome analysis. Since trypsin is the most utilized protease in bottom-up MS proteomics, delineating optimal conditions for carrying out trypsin digestions of complex proteomes in samples ranging from tissues to single cells should positively impact a broad range of biomedical research.

Indexed as

ProteomeTandem Mass SpectrometryDigestionPeptidesTrypsinPeptidesProteomeTrypsinBottom-up proteomicsMass spectrometrySingle cell proteomicsTrypsin digestion

Identifiers

PMID38325732
PMCPMC10939724

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.