Evidence map›Paper›PMID 34038140›Full record

ArticleJournal of proteome research2021

Comparative Evaluation of MaxQuant and Proteome Discoverer MS1-Based Protein Quantification Tools.

Antonio Palomba, Marcello Abbondio, Giovanni Fiorito, Sergio Uzzau, Daniela Pagnozzi, Alessandro Tanca

Abstract readComparative Study
In one paragraph

Article in Journal of proteome research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 2 pooled it
–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

40 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  6. Rubicon modulates neuroimmune responses following traumatic brain injury.bioRxiv : the preprint server for biology · 2026
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  16. Application of Proteomic Methods in Oomycete Biology.Methods in molecular biology (Clifton, N.J.) · 2025
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  18. Review
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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

6 authors.

Antonio PalombaPorto Conte Ricerche, Loc. Tramariglio, 07041 Alghero, Italy.
Marcello AbbondioDepartment of Biomedical Sciences, University of Sassari, Viale San Pietro 43/B, 07100 Sassari, Italy.
Giovanni FioritoDepartment of Biomedical Sciences, University of Sassari, Viale San Pietro 43/B, 07100 Sassari, Italy.
Sergio UzzauDepartment of Biomedical Sciences, University of Sassari, Viale San Pietro 43/B, 07100 Sassari, Italy.
Daniela PagnozziPorto Conte Ricerche, Loc. Tramariglio, 07041 Alghero, Italy.
Alessandro TancaDepartment of Biomedical Sciences, University of Sassari, Viale San Pietro 43/B, 07100 Sassari, Italy.ORCID 0000-0002-6066-7048

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MS1-based label-free quantification can compare precursor ion peaks across runs, allowing reproducible protein measurements. Among bioinformatic platforms enabling MS1-based quantification, MaxQuant (MQ) is one of the most used, while Proteome Discoverer (PD) has recently introduced the Minora tool. Here, we present a comparative evaluation of six MS1-based quantification methods available in MQ and PD. Intensity (MQ and PD) and area (PD only) of the precursor ion peaks were measured and then subjected or not to normalization. The six methods were applied to data sets simulating various differential proteomics scenarios and covering a wide range of protein abundance ratios and amounts. PD outperformed MQ in terms of quantification yield, dynamic range, and reproducibility, although neither platform reached a fully satisfactory quality of measurements at low-abundance ranges. PD methods including normalization were the most accurate in estimating the abundance ratio between groups and the most sensitive when comparing groups with a narrow abundance ratio; on the contrary, MQ methods generally reached slightly higher specificity, accuracy, and precision values. Moreover, we found that applying an optimized log ratio-based threshold can maximize specificity, accuracy, and precision. Taken together, these results can help researchers choose the most appropriate MS1-based protein quantification strategy for their studies.

Indexed as

ProteomeProteomicsComputational BiologyReproducibility of ResultsProteomeaccuracydifferential analysislabel-free quantificationlog ratiomass spectrometryprecisionproteomicssensitivityspecificity

Identifiers

PMID34038140
PMCPMC8280745

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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.