Evidence map›Paper›PMID 30630937›Full record

ArticleMolecular & cellular proteomics : MCP2019

Proteome Analysis of Human Neutrophil Granulocytes From Patients With Monogenic Disease Using Data-independent Acquisition.

Piotr Grabowski, Sebastian Hesse, Sebastian Hollizeck, Meino Rohlfs, Uta Behrends, Roya Sherkat, Hannah Tamary, Ekrem Ünal, Raz Somech, Türkan Patıroğlu and 4 more

Open access · hybridAbstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
6.3field-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

33 citing papers in PubMed, 66 citations in OpenAlex.

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  14. Mitochondrial heterogeneity in diseases.Signal transduction and targeted therapy · 2023
    Review
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  16. Article
  17. Human neutrophilsImmunological reviews · 2023
    Review
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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

14 authors at 8 institutions in 6 countries.

Piotr GrabowskiFrom the ‡Bioanalytics, Institute of Biotechnology, Technische Universität Berlin, 13355 Berlin, Germany.
Sebastian Hesse§Dr. von Hauner Children's Hospital, Department of Pediatrics, University Hospital, LMU Munich, 80337 Munich, Germany.
Sebastian Hollizeck§Dr. von Hauner Children's Hospital, Department of Pediatrics, University Hospital, LMU Munich, 80337 Munich, Germany.
Meino Rohlfs§Dr. von Hauner Children's Hospital, Department of Pediatrics, University Hospital, LMU Munich, 80337 Munich, Germany.
Uta Behrends‖Children's Hospital, Hematology-Oncology, Technical University Munich, 80804 Munich, Germany.
Roya SherkatAcquired Immunodeficiency Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
Hannah TamarySchneider Children's Medical Center of Israel, Petah Tikva, Sackler School of Medicine, Tel Aviv University, Israel.
Ekrem ÜnalDepartment of Pediatrics, Division of Pediatric Hematology & Oncology, Erciyes University, Kayseri, Turkey.
Raz SomechPediatric Department A and Immunology Service, Jeffrey Modell Foundation Center, Edmond and Lily Safra Children's Hospital, Sheba Medical Center, Tel Hashomer, Sackler Faculty of Medicine, Tel Aviv University Tel Aviv, Israel.
Türkan PatıroğluDepartment of Pediatrics, Division of Pediatric Hematology & Oncology, Erciyes University, Kayseri, Turkey.
Stefan CanzarGene Center, Ludwig-Maximilians-Universität München, Munich, Germany.
Jutte van der Werff Ten BoschDepartment of Pediatric Hematology Oncology, UZ Brussel, Brussels, Belgium.
Christoph Klein§Dr. von Hauner Children's Hospital, Department of Pediatrics, University Hospital, LMU Munich, 80337 Munich, Germany;. Electronic address: christoph.klein@med.uni-muenchen.de.
Juri RappsilberFrom the ‡Bioanalytics, Institute of Biotechnology, Technische Universität Berlin, 13355 Berlin, Germany;; ¶Wellcome Centre for Cell Biology, University of Edinburgh, Edinburgh EH9 3BF, UK;. Electronic address: juri.rappsilber@ed.ac.uk.
Ludwig-Maximilians-Universität München · DEErciyes University · TRTechnische Universität Berlin · DEEdmond and Lily Safra Children's Hospital · ILIsfahan University of Medical Sciences · IRSchneider Children's Medical Center · ILTechnical University of Munich · DEUniversitair Ziekenhuis Brussel · BE

Funding

Wellcome Trust 103139Wellcome Trust 103139/Z/13/ZWellcome Trust 203149
6 · The paper itself

Abstract

Neutrophil granulocytes are critical mediators of innate immunity and tissue regeneration. Rare diseases of neutrophil granulocytes may affect their differentiation and/or functions. However, there are very few validated diagnostic tests assessing the functions of neutrophil granulocytes in these diseases. Here, we set out to probe omics analysis as a novel diagnostic platform for patients with defective differentiation and function of neutrophil granulocytes. We analyzed highly purified neutrophil granulocytes from 68 healthy individuals and 16 patients with rare monogenic diseases. Cells were isolated from fresh venous blood (purity >99%) and used to create a spectral library covering almost 8000 proteins using strong cation exchange fractionation. Patient neutrophil samples were then analyzed by data-independent acquisition proteomics, quantifying 4154 proteins in each sample. Neutrophils with mutations in the neutrophil elastase gene

Indexed as

DiseaseProteomicsBase SequenceHumansNeutrophilsProteomeRNA, MessengerProteomeRNA, Messengerdata-independent acquisitionDiagnosticImmunology*neutrophil granulocyteOmicsPersonalized medicineprimary immunodeficiency diseasesProteogenomicssystems medicinewhole exome sequencing

Identifiers

PMID30630937
PMCPMC6442368
OpenAlexW2909122637

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.