Evidence map›Paper›PMID 38275131›Full record

ArticleJournal of proteome research2024

Robust, Precise, and Deep Proteome Profiling Using a Small Mass Range and Narrow Window Data-Independent-Acquisition Scheme.

Klemens Fröhlich, Regula Furrer, Christian Schori, Christoph Handschin, Alexander Schmidt

Abstract 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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. A scoping review of computational models on human glucose cerebral metabolism.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2026
    Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. 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.

Klemens FröhlichProteomics Core Facility, Biozentrum Basel, University of Basel, 4056 Basel, Switzerland.ORCID 0000-0003-1445-0750
Regula FurrerBiozentrum Basel, University of Basel, 4056 Basel, Switzerland.
Christian SchoriProteomics Core Facility, Biozentrum Basel, University of Basel, 4056 Basel, Switzerland.
Christoph HandschinBiozentrum Basel, University of Basel, 4056 Basel, Switzerland.
Alexander SchmidtProteomics Core Facility, Biozentrum Basel, University of Basel, 4056 Basel, Switzerland.ORCID 0000-0002-3149-2381

Funding

Swiss National Science Foundation 145005
6 · The paper itself

Abstract

In recent years, a plethora of different data-independent acquisition methods have been developed for proteomics to cover a wide range of requirements. Current deep proteome profiling methods rely on fractionations, elaborate chromatography, and mass spectrometry setups or display suboptimal quantitative precision. We set out to develop an easy-to-use one shot DIA method that achieves high quantitative precision and high proteome coverage. We achieve this by focusing on a small mass range of 430-670

Indexed as

ProteomeSoftwareAnimalsMass SpectrometryMiceProteomicsProteomedeep proteome profilingDIAmurine skeletal musclenarrow mass rangePGC-1αproteomicsrobust quantitationWikiPathWay enrichments

Identifiers

PMID38275131
PMCPMC10913089

What OpenQuestion holds

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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.