Evidence map›Paper›PMID 35316605›Full record

ArticleJournal of proteome research2022

Toward Zero Variance in Proteomics Sample Preparation: Positive-Pressure FASP in 96-Well Format (PF96) Enables Highly Reproducible, Time- and Cost-Efficient Analysis of Sample Cohorts.

Stefan Loroch, Dominik Kopczynski, Adriana C Schneider, Cornelia Schumbrutzki, Ingo Feldmann, Eleftherios Panagiotidis, Yvonne Reinders, Roman Sakson, Fiorella A Solari, Alicia Vening and 5 more

Open access · greenAbstract read
In one paragraph

Article in Journal of proteome research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

10 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
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  4. Article
  5. Review
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  7. Article
  8. Bottom-Up Proteomics: Advancements in Sample Preparation.International journal of molecular sciences · 2023
    Review
  9. Article
  10. 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

15 authors at 6 institutions in 3 countries.

Stefan LorochLeibniz-Institut für Analytische Wissenschaften - ISAS - e.V., 44139 Dortmund, Germany.ORCID 0000-0002-7758-0301
Dominik KopczynskiLeibniz-Institut für Analytische Wissenschaften - ISAS - e.V., 44139 Dortmund, Germany.
Adriana C SchneiderLeibniz-Institut für Analytische Wissenschaften - ISAS - e.V., 44139 Dortmund, Germany.
Cornelia SchumbrutzkiLeibniz-Institut für Analytische Wissenschaften - ISAS - e.V., 44139 Dortmund, Germany.
Ingo FeldmannLeibniz-Institut für Analytische Wissenschaften - ISAS - e.V., 44139 Dortmund, Germany.
Eleftherios PanagiotidisLeibniz-Institut für Analytische Wissenschaften - ISAS - e.V., 44139 Dortmund, Germany.
Yvonne ReindersLeibniz-Institut für Analytische Wissenschaften - ISAS - e.V., 44139 Dortmund, Germany.
Roman SaksonLeibniz-Institut für Analytische Wissenschaften - ISAS - e.V., 44139 Dortmund, Germany.ORCID 0000-0002-9698-0773
Fiorella A SolariLeibniz-Institut für Analytische Wissenschaften - ISAS - e.V., 44139 Dortmund, Germany.
Alicia VeningDepartment of Biochemistry, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, 6200 MD Maastricht, The Netherlands.
Frauke SwieringaDepartment of Biochemistry, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, 6200 MD Maastricht, The Netherlands.
Johan W M HeemskerkDepartment of Biochemistry, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, 6200 MD Maastricht, The Netherlands.
Maria GrandochInstitut für Pharmakologie und Klinische Pharmakologie, Universitätsklinikum der Heinrich-Heine-Universität Düsseldorf, 40225 Düsseldorf, Germany.
Thomas DandekarDepartment of Bioinformatics, Biocenter, University of Würzburg, 97074 Würzburg, Germany.ORCID 0000-0003-1886-7625
Albert SickmannLeibniz-Institut für Analytische Wissenschaften - ISAS - e.V., 44139 Dortmund, Germany.ORCID 0000-0002-2388-5265
Leibniz Institute for Analytical Sciences - ISAS · DEMaastricht University · NLDüsseldorf University Hospital · DETU Dortmund University · DEUniversity of Aberdeen · GBUniversity of Würzburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As novel liquid chromatography-mass spectrometry (LC-MS) technologies for proteomics offer a substantial increase in LC-MS runs per day, robust and reproducible sample preparation emerges as a new bottleneck for throughput. We introduce a novel strategy for positive-pressure 96-well filter-aided sample preparation (PF96) on a commercial positive-pressure solid-phase extraction device. PF96 allows for a five-fold increase in throughput in conjunction with extraordinary reproducibility with Pearson product-moment correlations on the protein level of

Indexed as

PeptidesProteomicsAnimalsChromatography, LiquidHumansMass SpectrometryMiceReproducibility of ResultsPeptidesautomationFASPPF96proteomicssample preparation

Identifiers

PMID35316605
PMCPMC8981309
OpenAlexW4221022665

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.