Evidence map›Paper›PMID 40505065›Full record

ArticleAnalytical chemistry2025

Arg-C Ultra Simplifies Histone Preparation for LC-MS/MS.

Palina Ryzhaya, Pavlína Pírek, Zbyněk Zdráhal, Gabriela Lochmanová

Abstract read
In one paragraph

Article in Analytical chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Enhanced plant bottom-up histone proteomics.Journal of experimental botany · 2026
    Article
  3. Article
  4. Article
  5. 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

4 authors.

Palina RyzhayaMendel Center for Plant Genomics and Proteomics, Central European Institute of Technology, Masaryk University, 625 00 Brno, Czech Republic.ORCID 0009-0008-6025-6610
Pavlína PírekMendel Center for Plant Genomics and Proteomics, Central European Institute of Technology, Masaryk University, 625 00 Brno, Czech Republic.ORCID 0009-0006-8730-9845
Zbyněk ZdráhalMendel Center for Plant Genomics and Proteomics, Central European Institute of Technology, Masaryk University, 625 00 Brno, Czech Republic.ORCID 0000-0003-3044-5548
Gabriela LochmanováMendel Center for Plant Genomics and Proteomics, Central European Institute of Technology, Masaryk University, 625 00 Brno, Czech Republic.ORCID 0000-0002-0490-9380

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Arginine-specific cleavage is the primary method used to prepare lysine-rich histone proteins in bottom-up proteomics. As the Arg-C enzyme has demonstrated suboptimal specificity, cleavage at the carboxyl side of arginine residues is typically achieved through the chemical derivatization of lysines followed by trypsin digestion. Recent improvements in proteolytic enzymes are reflected in the introduction of Arg-C Ultra, a recombinant proteinase with a substantially improved digestion specificity. Here, using mammalian histone extract, we demonstrate that Arg-C Ultra facilitates histone preparation for LC-MS/MS. We show the performance of Arg-C Ultra in terms of digestion specificity, number of modified forms identified, and yield of quantitative information compared with Arg-C and trypsin digestion combined with chemical derivatization with trimethylacetic anhydride. Importantly, we show that chemical derivatization at the peptide level, i.e., after Arg-C Ultra digestion, is still necessary to improve the quantification of short histone peptidoforms as well as positional isomers.

Indexed as

HistonesTandem Mass SpectrometryAnimalsArginineChromatography, LiquidHumansLiquid Chromatography-Mass SpectrometryTrypsinArginineHistonesTrypsin

Identifiers

PMID40505065
PMCPMC12199229

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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.