Evidence map›Paper›PMID 29735998›Full record

ArticleNature methods2018

BoxCar acquisition method enables single-shot proteomics at a depth of 10,000 proteins in 100 minutes.

Florian Meier, Philipp E Geyer, Sebastian Virreira Winter, Juergen Cox, Matthias Mann

Abstract read
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In one paragraph

Article in Nature methods, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 176 papers.

0numbers the graph read from it
0cells of the map it votes in
176citing papers in PubMed
28.3field-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

176 citing papers in PubMed, 376 citations in OpenAlex.

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116 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

5 authors at 2 institutions in 2 countries.

Florian MeierProteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany.ORCID http://orcid.org/0000-0003-4729-175X
Philipp E GeyerProteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany.
Sebastian Virreira WinterProteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany.ORCID http://orcid.org/0000-0002-2299-8110
Juergen CoxComputational Systems Biochemistry, Max Planck Institute of Biochemistry, Martinsried, Germany.
Matthias MannProteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany. mmann@biochem.mpg.de.ORCID http://orcid.org/0000-0003-1292-4799
Max Planck Institute of Biochemistry · DEUniversity of Copenhagen · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Great advances have been made in sensitivity and acquisition speed on the Orbitrap mass analyzer, enabling increasingly deep proteome coverage. However, these advances have been mainly limited to the MS2 level, whereas ion beam sampling for the MS1 scans remains extremely inefficient. Here we report a data-acquisition method, termed BoxCar, in which filling multiple narrow mass-to-charge segments increases the mean ion injection time more than tenfold as compared to that of a standard full scan. In 1-h analyses, the method provided MS1-level evidence for more than 90% of the proteome of a human cancer cell line that had previously been identified in 24 fractions, and it quantified more than 6,200 proteins in ten of ten replicates. In mouse brain tissue, we detected more than 10,000 proteins in only 100 min, and sensitivity extended into the low-attomolar range.

Indexed as

Databases, ProteinAnimalsCerebellumChromatography, LiquidEscherichia coliHeLa CellsHumansMicePeptidesProteomeProteomicsTandem Mass SpectrometryPeptidesProteome

Identifiers

PMID29735998
OpenAlexW2802342298

What OpenQuestion holds

Textmetadata
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.