Evidence map›Paper›PMID 29134766›Full record

ArticleProteomics2018

Comparative Analyses of Data Independent Acquisition Mass Spectrometric Approaches: DIA, WiSIM-DIA, and Untargeted DIA.

Frank Koopmans, Jenny T C Ho, August B Smit, Ka Wan Li

Abstract readComparative Study
In one paragraph

Article in Proteomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Review
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  6. Tracing de novo Lipids using Stable Isotope Labeling LC-TIMS-TOF MS/MS.Journal of visualized experiments : JoVE · 2024
    Article
  7. Review
  8. Article
  9. Article
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  11. Review
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  15. Review
  16. Proteomic Analysis of Human Neural Stem Cell Differentiation by SWATH-MS.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  17. Article
  18. Article
  19. Article
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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

4 authors.

Frank KoopmansDepartment of Molecular and Cellular Neurobiology, CNCR, Amsterdam Neuroscience, Vrije Universiteit, Amsterdam, The Netherlands.ORCID 0000-0002-4973-5732
Jenny T C HoThermo Fisher Scientific, Hemel Hempstead, UK.
August B SmitDepartment of Molecular and Cellular Neurobiology, CNCR, Amsterdam Neuroscience, Vrije Universiteit, Amsterdam, The Netherlands.
Ka Wan LiDepartment of Molecular and Cellular Neurobiology, CNCR, Amsterdam Neuroscience, Vrije Universiteit, Amsterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Data-independent acquisition (DIA) is an emerging technology for quantitative proteomics. Current DIA focusses on the identification and quantitation of fragment ions that are generated from multiple peptides contained in the same selection window of several to tens of m/z. An alternative approach is WiSIM-DIA, which combines conventional DIA with wide-SIM (wide selected-ion monitoring) windows to partition the precursor m/z space to produce high-quality precursor ion chromatograms. However, WiSIM-DIA has been underexplored; it remains unclear if it is a viable alternative to DIA. We demonstrate that WiSIM-DIA quantified more than 24 000 unique peptides over five orders of magnitude in a single 2 h analysis of a neuronal synapse-enriched fraction, compared to 31 000 in DIA. There is a strong correlation between abundance values of peptides quantified in both the DIA and WiSIM-DIA datasets. Interestingly, the S/N ratio of these peptides is not correlated. We further show that peptide identification directly from DIA spectra identified >2000 proteins, which included unique peptides not found in spectral libraries generated by DDA.

Indexed as

Data Interpretation, StatisticalSoftwareAnimalsHippocampusMass SpectrometryMiceMice, Inbred C57BLProteomeProteomicsSynaptosomesProteomedata-independent analysisquantitative proteomicsspectral library

Identifiers

PMID29134766
PMCPMC5817406

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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.