Evidence map›Paper›PMID 38691771›Full record

ArticleJournal of proteome research2024

Optimizing Spectronaut Search Parameters to Improve Data Quality with Minimal Proteome Coverage Reductions in DIA Analyses of Heterogeneous Samples.

Christa P Baker, Roland Bruderer, James Abbott, J Simon C Arthur, Alejandro J Brenes

Open access · hybridAbstract read
In one paragraph

Article in Journal of proteome research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
10.1field-weighted citation impact, top 1% of its field
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

24 citing papers in PubMed, 42 citations in OpenAlex.

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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

5 authors at 2 institutions in 2 countries.

Christa P BakerDivision of Cell Signalling & Immunology, School of Life Sciences, University of Dundee, Dundee DD1 5EH, United Kingdom.
Roland BrudererBiognosys AG, Schlieren, Zurich 8952, Switzerland.ORCID 0000-0002-1049-5524
James AbbottData Analysis Group, Division of Computational Biology, School of Life Sciences, University of Dundee, Dundee DD1 5EH, United Kingdom.
J Simon C ArthurDivision of Cell Signalling & Immunology, School of Life Sciences, University of Dundee, Dundee DD1 5EH, United Kingdom.
Alejandro J BrenesDivision of Cell Signalling & Immunology, School of Life Sciences, University of Dundee, Dundee DD1 5EH, United Kingdom.ORCID 0000-0001-8298-2463
University of Dundee · GBBiognosys (Switzerland) · CH

Funding

Wellcome Trust
6 · The paper itself

Abstract

Data-independent acquisition has seen breakthroughs that enable comprehensive proteome profiling using short gradients. As the proteome coverage continues to increase, the quality of the data generated becomes much more relevant. Using Spectronaut, we show that the default search parameters can be easily optimized to minimize the occurrence of false positives across different samples. Using an immunological infection model system to demonstrate the impact of adjusting search settings, we analyzed

Indexed as

Candida albicansMacrophagesProteomeProteomicsAnimalsData AccuracyMicePeptidesPeptidesProteomeC. albicansdata qualityDIAfalse positivesimmunologyinfectionM. musculusmultispeciesspectronautXIC

Identifiers

PMID38691771
PMCPMC11165578
OpenAlexW4396540347

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.