Evidence map›Paper›PMID 29326070›Full record

ArticleAnalytical biochemistry2018

Enhanced protein identification using graphite-modified MALDI plates for offline LC-MALDI-MS/MS bottom-up proteomics.

Anthony Maus, Rudolph Mignon, Franco Basile

Abstract read
In one paragraph

Article in Analytical biochemistry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 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

3 authors.

Anthony MausDepartment of Chemistry, University of Wyoming, 1000 E. University Ave., Laramie, WY 82072, United States.
Rudolph MignonDepartment of Chemistry, University of Wyoming, 1000 E. University Ave., Laramie, WY 82072, United States.
Franco BasileDepartment of Chemistry, University of Wyoming, 1000 E. University Ave., Laramie, WY 82072, United States. Electronic address: basile@uwyo.edu.

Funding

Wyoming INBRE Phase 4- Equipment Supplement for x-ray diffractometer for Center for Advanced Scientific InstrumentationP20GM103432 · NIGMS · UNIVERSITY OF WYOMING · PI Robert Scott Seville · 2012 to 2026
$56.8M
NIGMS NIH HHS P20 GM103432
6 · The paper itself

Abstract

The use of offline liquid chromatography-matrix assisted laser desorption/ionization (LC-MALDI) tandem mass spectrometry (MS/MS) for bottom-up proteomics offers advantages in terms of cost, ease of use, and the time-decoupled nature of the separation step and the mass analysis. A method was developed to improve the capabilities of LC-MALDI-MS/MS in terms of protein identification in a bottom-up proteomic workflow. Enhanced protein identification is achieved by an increase in the MALDI signal intensity of the precursor peptides brought about by coating the MALDI plate with a thin film of graphite powder. Using the Escherichia coli proteome, it is demonstrated that the graphite-modified MALDI plates used in an offline LC-MALDI-MS/MS bottom-up protocol led to a 50-135% increase in the number of peptide identifications, and a concomitant 21%-105% increase in the number of proteins inferred. We identify factors that lead to improvements in peptide sequence identifications and in the number of unique proteins identified when compared to using an unmodified MALDI plate. These improvements are achieved using a low cost approach that it is easy to implement, requires no hardware/protocol modification, it is compatible with LC and adds no additional analysis time.

Indexed as

ProteomicsChromatography, LiquidEscherichia coli K12Escherichia coli ProteinsGraphitePeptidesSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationEscherichia coli ProteinsGraphitePeptidesBottom-up proteomicsMALDI-TOF/TOFOffline LC-MALDIProtein identification

Identifiers

PMID29326070
PMCPMC6026324

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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.