Evidence map›Paper›PMID 36675884›Full record

ArticleJournal of fungi (Basel, Switzerland)2022

Data-Independent Acquisition (DIA) Is Superior for High Precision Phospho-Peptide Quantification in

Katharina Bersching, Thomas Michna, Stefan Tenzer, Stefan Jacob

Open access · goldAbstract read
In one paragraph

Article in Journal of fungi (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 56% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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 at 3 institutions in 1 country.

Katharina BerschingInstitute of Biotechnology and Drug Research gGmbH (IBWF), Hanns-Dieter-Hüsch-Weg 17, 55131 Mainz, Germany.
Thomas MichnaInstitute for Immunology, University Medical Center of the Johannes Gutenberg University Mainz, 55131 Mainz, Germany.ORCID 0000-0003-1147-0334
Stefan TenzerInstitute for Immunology, University Medical Center of the Johannes Gutenberg University Mainz, 55131 Mainz, Germany.ORCID 0000-0003-3034-0017
Stefan JacobInstitute of Biotechnology and Drug Research gGmbH (IBWF), Hanns-Dieter-Hüsch-Weg 17, 55131 Mainz, Germany.ORCID 0000-0003-2966-4110
Institut für Biotechnologie und Wirkstoff-Forschung · DEGerman Cancer Research Center · DEJohannes Gutenberg University Mainz · DE

Funding

Deutsche Forschungsgemeinschaft 403841309Deutsche Forschungsgemeinschaft 426554840
6 · The paper itself

Abstract

The dynamic interplay of signaling networks in most major cellular processes is characterized by the orchestration of reversible protein phosphorylation. Consequently, analytic methods such as quantitative phospho-peptidomics have been pushed forward from a highly specialized edge-technique to a powerful and versatile platform for comprehensively analyzing the phosphorylation profile of living organisms. Despite enormous progress in instrumentation and bioinformatics, a high number of missing values caused by the experimental procedure remains a major problem, due to either a random phospho-peptide enrichment selectivity or borderline signal intensities, which both cause the exclusion for fragmentation using the commonly applied data dependent acquisition (DDA) mode. Consequently, an incomplete dataset reduces confidence in the subsequent statistical bioinformatic processing. Here, we successfully applied data independent acquisition (DIA) by using the filamentous fungus

Indexed as

bioinformaticscellular signalingDDADIALC-MS/MSMagnaporthe oryzaephospho-peptide enrichmentphospho-peptidomicsphosphorylationproteomics

Identifiers

PMID36675884
PMCPMC9863866
OpenAlexW4313471537

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.