Evidence map›Paper›PMID 39392678›Full record

ArticleJournal of proteome research2024

Clean and Complete Protein Digestion with an Autolysis Resistant Trypsin for Peptide Mapping.

Beatrice Muriithi, Samantha Ippoliti, Abraham Finny, Balasubrahmanyam Addepalli, Matthew Lauber

Abstract read
In one paragraph

Article in Journal of proteome research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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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

7 citing papers in PubMed.

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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.

Beatrice MuriithiWaters Corporation, 34 Maple Street, Milford, Massachusetts 01757, United States.ORCID 0009-0002-4176-9812
Samantha IppolitiWaters Corporation, 34 Maple Street, Milford, Massachusetts 01757, United States.
Abraham FinnyWaters Corporation, 34 Maple Street, Milford, Massachusetts 01757, United States.ORCID 0000-0003-3435-0941
Balasubrahmanyam AddepalliWaters Corporation, 34 Maple Street, Milford, Massachusetts 01757, United States.
Matthew LauberWaters Corporation, 34 Maple Street, Milford, Massachusetts 01757, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Peptide mapping requires cleavage of proteins in a predictable fashion so that target protein-specific peptides can be reliably identified and quantified. Trypsin, a commonly used protease in this process, can also undergo self-cleavage or autolysis, thereby reducing the effectivity and even cleavage specificity at lysine and arginine residues. Here, we report highly efficient and reproducible peptide mapping of biotherapeutic monoclonal antibodies. We highlight the properties of a homogeneous chemically modified trypsin on thermal stability, a 54% increase in melting temperature with an 84% increase in energy required for unfolding, an indication of more thermally stable trypsin, >90% retained intact mass peak area after exposure to digestion conditions confirming autolysis resistance, 10× more intensity for intact enzyme compared to trypsin of similar source and narrower molecular weight distribution with LC-MS indicative of low degradation compared to 3 other types of trypsin. Finally, we show the utility of this autolysis-resistant trypsin in characterizing biotherapeutic monoclonal antibodies consistently and reliably showing a >30% reduction in missed cleavage for a short-duration protein digestion time of 30 min compared to heterogeneously modified trypsin of a similar source.

Indexed as

Antibodies, MonoclonalAutolysisPeptide MappingProteolysisTrypsinChromatography, LiquidHumansPeptidesTandem Mass SpectrometryAntibodies, MonoclonalPeptidesTrypsinAutolysis resistanceBioanalysisDifferential scanning calorimetryEnzymeMethylationPeptide mapping: Chemically modificationProtein digestionThermal stabilityTrypsin

Identifiers

PMID39392678
PMCPMC11536465

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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.