Evidence map›Paper›PMID 29019370›Full record

ArticleMolecular bioSystems2017

Evaluation and optimization of reduction and alkylation methods to maximize peptide identification with MS-based proteomics.

Suttipong Suttapitugsakul, Haopeng Xiao, Johanna Smeekens, Ronghu Wu

Abstract read
In one paragraph

Article in Molecular bioSystems, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

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

44 citing papers in PubMed.

  1. Review
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  19. Review
  20. Peptide-Based Mass Spectrometry for the Investigation of Protein Complexes.Advances in experimental medicine and biology · 2024
    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.

Suttipong SuttapitugsakulSchool of Chemistry and Biochemistry and the Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, Georgia 30332, USA. ronghu.wu@chemistry.gatech.edu.
Haopeng Xiao
Johanna Smeekens
Ronghu Wu

Funding

Effective MS-Based Methods for Unraveling Cell Surface Protein InteractionsR01GM118803 · NIGMS · GEORGIA INSTITUTE OF TECHNOLOGY · PI WU, RONGHU · 2017 to 2024
$2.4M
NIGMS NIH HHS R01 GM118803
6 · The paper itself

Abstract

Mass spectrometry (MS) has become an increasingly important technique to analyze proteins. In popular bottom-up MS-based proteomics, reduction and alkylation are routine steps to facilitate peptide identification. However, incomplete reactions and side reactions may occur, which compromise the experimental results. In this work, we systematically evaluated the reduction step with commonly used reagents, i.e., dithiothreitol, 2-mercaptoethanol, tris(2-carboxyethyl)phosphine, or tris(3-hydroxypropyl)phosphine, and alkylation with iodoacetamide, acrylamide, N-ethylmaleimide, or 4-vinylpyridine. By using digested peptides from a yeast whole-cell lysate, the number of proteins and peptides identified were very similar using four different reducing reagents. The results from four alkylating reagents, however, were dramatically different with iodoacetamide giving the highest number of peptides with alkylated cysteine and the lowest number of peptides with incomplete cysteine alkylation and side reactions. Alkylation conditions with iodoacetamide were further optimized. To identify more peptides with cysteine, thiopropyl-sepharose 6B resins were used to enrich them, and the optimal conditions were employed for the reduction and alkylation. The enrichment resulted in over three times more cysteine-containing peptides than without enrichment. Systematic evaluation of the reduction and alkylation with different reagents can aid in a better design of bottom-up proteomic experiments.

Indexed as

AcrylamideAlkylationEthylmaleimideIodoacetamideMass SpectrometryPeptidesProteomicsPyridines4-vinylpyridineAcrylamideEthylmaleimideIodoacetamidePeptidesPyridines

Identifiers

PMID29019370
PMCPMC5698164

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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.