Evidence map›Paper›PMID 33230323›Full record

ArticleNature methods2020

Quantitative shotgun proteome analysis by direct infusion.

Jesse G Meyer, Natalie M Niemi, David J Pagliarini, Joshua J Coon

Abstract read
In one paragraph

Article in Nature methods, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

  1. Sustained loss ofbioRxiv : the preprint server for biology · 2026
    Article
  2. Single-Injection Multi-Omics Analysis by Direct Infusion Mass Spectrometry.Angewandte Chemie (International ed. in English) · 2026
    Article
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  18. Mitochondrial proteome research: the road ahead.Nature reviews. Molecular cell biology · 2024
    Review
  19. Article
  20. 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.

Jesse G MeyerDepartment of Biomolecular Chemistry, University of Wisconsin-Madison, Madison, WI, USA. jesmeyer@mcw.edu.ORCID http://orcid.org/0000-0003-2753-3926
Natalie M NiemiMorgridge Institute for Research, Madison, WI, USA.ORCID http://orcid.org/0000-0002-5174-4005
David J PagliariniMorgridge Institute for Research, Madison, WI, USA.ORCID http://orcid.org/0000-0002-0001-0087
Joshua J CoonDepartment of Biomolecular Chemistry, University of Wisconsin-Madison, Madison, WI, USA. jcoon@chem.wisc.edu.ORCID http://orcid.org/0000-0002-0004-8253

Funding

Research Training for Computation and Informatics in Biology and MedicineT15LM007359 · NLM · UNIVERSITY OF WISCONSIN-MADISON · PI Mark W. Craven, Colin Noel Dewey · 2002 to 2026
$22.6M
TR&D 2 Metabolic Labels for Ultraplexed Protein Quantification p. 453P41GM108538 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI COON, JOSHUA J · 2016 to 2025
$13.1M
Regulation of Mitochondrial Metabolism by Post-Translational ModificationsR01DK098672 · NIDDK · WASHINGTON UNIVERSITY · PI David J Pagliarini · 2013 to 2026
$4.8M
NIDDK NIH HHS R01 DK098672NIGMS NIH HHS P41 GM108538NLM NIH HHS T15 LM007359
6 · The paper itself

Abstract

Liquid chromatography-mass spectrometry (LC-MS) delivers sensitive peptide analysis for proteomics but requires extensive analysis time, reducing throughput. Here, we demonstrate that gas-phase peptide separation instead of LC enables fast proteome analysis. Using direct infusion-shotgun proteome analysis (DI-SPA) by data-independent acquisition mass spectrometry (DIA-MS), we demonstrate the targeted quantification of over 500 proteins within minutes of MS data collection (~3.5 proteins per second). We show the utility of this technology in performing a complex multifactorial proteomic study of interactions between nutrients, genotype and mitochondrial toxins in a collection of cultured human cells. More than 45,000 quantitative protein measurements from 132 samples were achieved in only ~4.4 h of MS data collection. Enabling fast, unbiased proteome quantification without LC, DI-SPA offers an approach to boost throughput, critical to drug and biomarker discovery studies that require analysis of thousands of proteomes.

Indexed as

A549 CellsCell Line, TumorGas Chromatography-Mass SpectrometryGene Expression ProfilingHEK293 CellsHumansMCF-7 CellsProteomeProteomicsProteome

Identifiers

PMID33230323
PMCPMC8009190

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.