Evidence map›Paper›PMID 32205417›Full record

ArticleMolecular & cellular proteomics : MCP2020

DEqMS: A Method for Accurate Variance Estimation in Differential Protein Expression Analysis.

Yafeng Zhu, Lukas M Orre, Yan Zhou Tran, Georgios Mermelekas, Henrik J Johansson, Alina Malyutina, Simon Anders, Janne Lehtiö

Open access · hybridAbstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 162 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
162citing papers in PubMed, 2 pooled it
11.3field-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

162 citing papers in PubMed, 2 syntheses or guidelines pooled it, 276 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. PSMatch: An R/Bioconductor Package to Explore Proteomics Identification Data.Methods in molecular biology (Clifton, N.J.) · 2027
    Article
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  6. Urban PMMolecular neurobiology · 2026
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  7. Review
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  9. Article
  10. Protein Variability Patterns in Ovarian Serous Carcinoma.International journal of molecular sciences · 2026
    Article
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  14. Article
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102 more citing papers are in PubMed but not listed here.

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

8 authors at 3 institutions in 3 countries.

Yafeng ZhuDepartment of Oncology-Pathology, Science for Life Laboratory, Karolinska Institutet, Stockholm, Sweden.
Lukas M OrreDepartment of Oncology-Pathology, Science for Life Laboratory, Karolinska Institutet, Stockholm, Sweden.
Yan Zhou TranDepartment of Oncology-Pathology, Science for Life Laboratory, Karolinska Institutet, Stockholm, Sweden.
Georgios MermelekasDepartment of Oncology-Pathology, Science for Life Laboratory, Karolinska Institutet, Stockholm, Sweden.
Henrik J JohanssonDepartment of Oncology-Pathology, Science for Life Laboratory, Karolinska Institutet, Stockholm, Sweden.
Alina MalyutinaInstitute for Molecular Medicine, University of Helsinki, Helsinki, Finland.
Simon AndersCentre for Molecular Biology of Heidelberg University (ZMBH), Heidelberg, Germany.
Janne LehtiöDepartment of Oncology-Pathology, Science for Life Laboratory, Karolinska Institutet, Stockholm, Sweden. Electronic address: janne.lehtio@ki.se.
Science for Life Laboratory · SEHeidelberg University · DEUniversity of Helsinki · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantitative proteomics by mass spectrometry is widely used in biomarker research and basic biology research for investigation of phenotype level cellular events. Despite the wide application, the methodology for statistical analysis of differentially expressed proteins has not been unified. Various methods such as

Indexed as

AlgorithmsBiomarkersCell LineChromatography, LiquidErbB ReceptorsEscherichia coliGefitinibHumansIsoelectric FocusingMCF-7 CellsPeptidesProteomeProteomicsReproducibility of ResultsTandem Mass SpectrometryBiomarkersEGFR protein, humanErbB ReceptorsGefitinibPeptidesProteomedata evaluationdifferential analysisFDRlabel-free quantificationmass spectrometryquality control and metricsQuantificationstatisticsTMT

Identifiers

PMID32205417
PMCPMC7261819
OpenAlexW3012843216

What OpenQuestion holds

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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.