Evidence map›Paper›PMID 31844046›Full record

ArticleNature communications2019

Classification of mouse B cell types using surfaceome proteotype maps.

Marc van Oostrum, Maik Müller, Fabian Klein, Roland Bruderer, Hui Zhang, Patrick G A Pedrioli, Lukas Reiter, Panagiotis Tsapogas, Antonius Rolink, Bernd Wollscheid

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

24 citing papers in PubMed, 45 citations in OpenAlex.

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  18. Landscape of surfaceome and endocytome in human glioma is divergent and depends on cellular spatial organization.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  19. Article
  20. CD20 as a gatekeeper of the resting state of human B cells.Proceedings of the National Academy of Sciences of the United States of America · 2021
    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

10 authors at 5 institutions in 2 countries.

Marc van OostrumBiomedical Proteomics Platform, Department of Health Sciences and Technology, ETH Zurich, 8093, Zurich, Switzerland.ORCID http://orcid.org/0000-0001-8747-9787
Maik MüllerBiomedical Proteomics Platform, Department of Health Sciences and Technology, ETH Zurich, 8093, Zurich, Switzerland.ORCID http://orcid.org/0000-0002-9127-5733
Fabian KleinDevelopmental and Molecular Immunology, Department of Biomedicine, University of Basel, Basel, Switzerland.ORCID http://orcid.org/0000-0002-6208-8592
Roland BrudererBiognosys AG, Schlieren, Switzerland.
Hui ZhangDepartment of Pathology, Johns Hopkins University, Baltimore, MD, USA.
Patrick G A PedrioliInstitute of Molecular Systems Biology at the Department of Biology, ETH Zurich, 8093, Zurich, Switzerland.
Lukas ReiterBiognosys AG, Schlieren, Switzerland.ORCID http://orcid.org/0000-0001-5751-3139
Panagiotis TsapogasDevelopmental and Molecular Immunology, Department of Biomedicine, University of Basel, Basel, Switzerland.
Antonius RolinkDevelopmental and Molecular Immunology, Department of Biomedicine, University of Basel, Basel, Switzerland.
Bernd WollscheidBiomedical Proteomics Platform, Department of Health Sciences and Technology, ETH Zurich, 8093, Zurich, Switzerland. wbernd@ethz.ch.ORCID http://orcid.org/0000-0002-3923-1610
SIB Swiss Institute of Bioinformatics · CHUniversity of Basel · CHBiognosys (Switzerland) · CHETH Zurich · CHJohns Hopkins University · US

Funding

Glycoprotein biomarkers for the early detection of aggressive prostate cancerU01CA152813 · NCI · JOHNS HOPKINS UNIVERSITY · PI ZHANG, HUI · 2010 to 2021
$6.2M
The Comprehensive Proteome Characterization Center at Johns Hopkins: High Precision Discovery and Confirmation of Genoproteomic TargetsU24CA210985 · NCI · JOHNS HOPKINS UNIVERSITY · PI CHAN, DANIEL WANYUI, ZHANG, HUI · 2016 to 2020
$5.3M
NCI NIH HHS U01 CA152813NCI NIH HHS U24 CA210985
6 · The paper itself

Abstract

System-wide quantification of the cell surface proteotype and identification of extracellular glycosylation sites is challenging when samples are limited. Here, we miniaturize and automate the previously described Cell Surface Capture (CSC) technology, increasing sensitivity, reproducibility and throughput. We use this technology, which we call autoCSC, to create population-specific surfaceome maps of developing mouse B cells and use targeted flow cytometry to uncover developmental cell subpopulations.

Indexed as

Cell DifferentiationAnimalsB-Lymphocyte SubsetsCell MembraneFlow CytometryHigh-Throughput Screening AssaysHT29 CellsHumansMembrane ProteinsMicePrimary Cell CultureProteomicsReproducibility of ResultsMembrane Proteins

Identifiers

PMID31844046
PMCPMC6915781
OpenAlexW2995806984

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.