Evidence map›Paper›PMID 33596053›Full record

ArticleAnalytical chemistry2021

Robust Microflow LC-MS/MS for Proteome Analysis: 38 000 Runs and Counting.

Yangyang Bian, Florian P Bayer, Yun-Chien Chang, Chen Meng, Stefanie Hoefer, Nan Deng, Runsheng Zheng, Oleksandr Boychenko, Bernhard Kuster

Open access · greenAbstract read
In one paragraph

Article in Analytical chemistry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
6.0field-weighted citation impact, top 2% 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

27 citing papers in PubMed, 72 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. StageTip: a little giant unveiling the potential of mass spectrometry-based proteomics.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2025
    Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. SpectiCal:Journal of proteome research · 2024
    Article
  16. Article
  17. Article
  18. Article
  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

9 authors at 4 institutions in 2 countries.

Yangyang BianChair of Proteomics and Bioanalytics, Technical University of Munich, Emil Erlenmeyer Forum 5, 85354 Freising, Germany.
Florian P BayerChair of Proteomics and Bioanalytics, Technical University of Munich, Emil Erlenmeyer Forum 5, 85354 Freising, Germany.
Yun-Chien ChangChair of Proteomics and Bioanalytics, Technical University of Munich, Emil Erlenmeyer Forum 5, 85354 Freising, Germany.
Chen MengBavarian Biomolecular Mass Spectrometry Center (BayBioMS), Technical University of Munich, Gregor-Mendel-Straße 4, 85354 Freising, Germany.
Stefanie HoeferChair of Proteomics and Bioanalytics, Technical University of Munich, Emil Erlenmeyer Forum 5, 85354 Freising, Germany.
Nan DengInstrumental Analysis Center, Xi'an Jiaotong University, No. 28, Xianning West Road, Xi'an, Shaanxi 710049, P.R. China.
Runsheng ZhengThermo Fisher Scientific, Dornierstraße 4, 82110 Germering, Germany.
Oleksandr BoychenkoThermo Fisher Scientific, Dornierstraße 4, 82110 Germering, Germany.
Bernhard KusterChair of Proteomics and Bioanalytics, Technical University of Munich, Emil Erlenmeyer Forum 5, 85354 Freising, Germany.ORCID 0000-0002-9094-1677
Technical University of Munich · DEDornier (Germany) · DENorthwest University · CNXi'an Jiaotong University · CN

Funding

European Research Council 833710
6 · The paper itself

Abstract

Microflow liquid chromatography tandem mass spectrometry (μLC-MS/MS) is becoming a viable alternative to nanoflow LC-MS/MS for the analysis of proteomes. We have recently demonstrated the potential of such a system operating with a 1 mm i.d. × 150 mm column and at a flow rate of 50 μL/min for high-throughput applications. On the basis of the analysis of ∼38 000 samples measured on two instruments over the past two years, we now show that the approach is extremely robust. Up to 1500 analyses were performed within one month, and >14 000 samples could be analyzed on a single column without loss of chromatographic performance. Samples included proteomes of cell lines, tissues, and human body fluids, which were analyzed with or without prior peptide fractionation or stable isotope labeling. We show that the μLC-MS/MS system is capable of measuring 2600 proteins from undepleted human plasma and ∼5000 proteins from crude human urine in 1 day, demonstrating its potential for in-depth as well as high-throughput clinical application.

Indexed as

ProteomeTandem Mass SpectrometryChromatography, LiquidHumansIsotope LabelingPeptidesPeptidesProteome

Identifiers

PMID33596053
PMCPMC7616893
OpenAlexW3132700410

What OpenQuestion holds

Textmetadata
LicenceTDM
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.