Evidence map›Paper›PMID 38967040›Full record

ArticleAnalytical chemistry2024

Data-Independent Acquisition Represents a Promising Alternative for Fast Photochemical Oxidation of Proteins (FPOP) Samples Analysis.

Marek Zakopcanik, Daniel Kavan, Zdenek Kukacka, Petr Novak, Dmitry S Loginov

Abstract read
In one paragraph

Article in Analytical chemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Marek ZakopcanikInstitute of Microbiology, The Czech Academy of Sciences, 14220 Prague, Czech Republic.ORCID 0009-0003-9039-7151
Daniel KavanInstitute of Microbiology, The Czech Academy of Sciences, 14220 Prague, Czech Republic.
Zdenek KukackaInstitute of Microbiology, The Czech Academy of Sciences, 14220 Prague, Czech Republic.ORCID 0000-0001-7569-843X
Petr NovakInstitute of Microbiology, The Czech Academy of Sciences, 14220 Prague, Czech Republic.ORCID 0000-0001-8688-529X
Dmitry S LoginovInstitute of Microbiology, The Czech Academy of Sciences, 14220 Prague, Czech Republic.ORCID 0000-0002-4164-6145

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fast Photochemical Oxidation of Proteins (FPOP) is a protein footprinting method utilizing hydroxyl radicals to provide valuable information on the solvent-accessible surface area. The extensive number of oxidative modifications that are created by FPOP is both advantageous, leading to great spatial resolution, and challenging, increasing the complexity of data processing. The precise localization of the modification together with the appropriate reproducibility is crucial to obtain relevant structural information. In this paper, we propose a novel approach combining validated spectral libraries together with utilizing DIA data. First, the DDA data searched by FragPipe are subsequently validated using Skyline software to form a spectral library. This library is then matched against the DIA data to filter out nonrepresentative IDs. In comparison with FPOP data processing using only a search engine followed by generally applied filtration steps, the manually validated spectral library offers higher confidence in identifications and increased spatial resolution. Furthermore, the reproducibility of quantification was compared for DIA, DDA, and MS-only acquisition modes on timsTOF SCP. Comparison of coefficients of variation (CV) showed that the DIA and MS acquisition modes exhibit significantly better reproducibility in quantification (CV medians 0.1233 and 0.1494, respectively) compared to the DDA mode (CV median 0.2104).

Indexed as

Oxidation-ReductionPhotochemical ProcessesProteinsHydroxyl RadicalSoftwareHydroxyl RadicalProteins

Identifiers

PMID38967040
PMCPMC11256011

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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.