Evidence map›Paper›PMID 29531254›Full record

ArticleScientific reports2018

Cost-effective generation of precise label-free quantitative proteomes in high-throughput by microLC and data-independent acquisition.

Jakob Vowinckel, Aleksej Zelezniak, Roland Bruderer, Michael Mülleder, Lukas Reiter, Markus Ralser

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
5.0field-weighted citation impact, top 3% 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

36 citing papers in PubMed, 86 citations in OpenAlex.

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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 at 2 institutions in 3 countries.

Jakob VowinckelDepartment of Biochemistry and Cambridge Systems Biology Centre, University of Cambridge, 80 Tennis Court Rd, Cambridge, CB2 1GA, UK.
Aleksej ZelezniakDepartment of Biochemistry and Cambridge Systems Biology Centre, University of Cambridge, 80 Tennis Court Rd, Cambridge, CB2 1GA, UK.
Roland BrudererBiognosys AG, Wagistrasse 21, CH-8952, Schlieren, Switzerland.
Michael MüllederDepartment of Biochemistry and Cambridge Systems Biology Centre, University of Cambridge, 80 Tennis Court Rd, Cambridge, CB2 1GA, UK.
Lukas ReiterBiognosys AG, Wagistrasse 21, CH-8952, Schlieren, Switzerland.
Markus RalserDepartment of Biochemistry and Cambridge Systems Biology Centre, University of Cambridge, 80 Tennis Court Rd, Cambridge, CB2 1GA, UK. markus.ralser@crick.ac.uk.ORCID 0000-0001-9535-7413
University of Cambridge · GBBiognosys (Switzerland) · CH

Funding

Biotechnology and Biological Sciences Research Council BB/N015215/1Cancer Research UK FC001134Medical Research Council FC001134Medical Research Council MC_UP_1202/8Wellcome Trust FC001134Wellcome Trust RG 200829/Z/16/Z
6 · The paper itself

Abstract

Quantitative proteomics is key for basic research, but needs improvements to satisfy an increasing demand for large sample series in diagnostics, academia and industry. A switch from nanoflowrate to microflowrate chromatography can improve throughput and reduce costs. However, concerns about undersampling and coverage have so far hampered its broad application. We used a QTOF mass spectrometer of the penultimate generation (TripleTOF5600), converted a nanoLC system into a microflow platform, and adapted a SWATH regime for large sample series by implementing retention time- and batch correction strategies. From 3 µg to 5 µg of unfractionated tryptic digests that are obtained from proteomics-typical amounts of starting material, microLC-SWATH-MS quantifies up to 4000 human or 1750 yeast proteins in an hour or less. In the acquisition of 750 yeast proteomes, retention times varied between 2% and 5%, and quantified the typical peptide with 5-8% signal variation in replicates, and below 20% in samples acquired over a five-months period. Providing precise quantities without being dependent on the latest hardware, our study demonstrates that the combination of microflow chromatography and data-independent acquisition strategies has the potential to overcome current bottlenecks in academia and industry, enabling the cost-effective generation of precise quantitative proteomes in large scale.

Indexed as

Chromatography, LiquidCost-Benefit AnalysisHumansK562 CellsPeptidesProteomeProteomicsSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsSoftwareTandem Mass SpectrometryPeptidesProteomeSaccharomyces cerevisiae Proteins

Identifiers

PMID29531254
PMCPMC5847575
OpenAlexW2805896072

What OpenQuestion holds

Textmetadata
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.