Evidence map›Paper›PMID 33162986›Full record

ArticleFrontiers in immunology2020

SIRPα on Mouse B1 Cells Restricts Lymphoid Tissue Migration and Natural Antibody Production.

Katka Franke, Saravanan Y Pillai, Mark Hoogenboezem, Marion J J Gijbels, Hanke L Matlung, Judy Geissler, Hugo Olsman, Chantal Pottgens, Patrick J van Gorp, Maria Ozsvar-Kozma and 8 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.3field-weighted citation impact, top 43% 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

8 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
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  5. Tolerating CD47.Clinical and translational medicine · 2024
    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

18 authors at 8 institutions in 4 countries.

Katka FrankeSanquin Research and Landsteiner Laboratory, Department of Blood Cell Research, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands.
Saravanan Y PillaiDepartment of Pulmonary Medicine, Erasmus MC, Rotterdam, Netherlands.
Mark HoogenboezemSanquin Research and Landsteiner Laboratory, Department of Plasma Protein, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands.
Marion J J GijbelsDepartment of Medical Biochemistry, Experimental Vascular Biology, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands.
Hanke L MatlungSanquin Research and Landsteiner Laboratory, Department of Blood Cell Research, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands.
Judy GeisslerSanquin Research and Landsteiner Laboratory, Department of Blood Cell Research, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands.
Hugo OlsmanSanquin Research and Landsteiner Laboratory, Department of Blood Cell Research, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands.
Chantal PottgensDepartment of Medical Biochemistry, Experimental Vascular Biology, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands.
Patrick J van GorpDepartment of Medical Biochemistry, Experimental Vascular Biology, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands.
Maria Ozsvar-KozmaDepartment of Laboratory Diagnostics, Medical University of Vienna, Vienna, Austria.
Yasuyuki SaitoDivision of Molecular and Cellular Signaling, Department of Biochemistry and Molecular Biology, Kobe University Graduate School of Medicine, Kobe, Japan.
Takashi MatozakiDivision of Molecular and Cellular Signaling, Department of Biochemistry and Molecular Biology, Kobe University Graduate School of Medicine, Kobe, Japan.
Taco W KuijpersSanquin Research and Landsteiner Laboratory, Department of Blood Cell Research, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands.
Rudi W HendriksDepartment of Pulmonary Medicine, Erasmus MC, Rotterdam, Netherlands.
Georg KraalDepartment of Molecular Cell Biology and Immunology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Infection and Immunity Institute, Amsterdam, Netherlands.
Christoph J BinderDepartment of Laboratory Diagnostics, Medical University of Vienna, Vienna, Austria.
Menno P J de WintherDepartment of Medical Biochemistry, Experimental Vascular Biology, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands.
Timo K van den BergSanquin Research and Landsteiner Laboratory, Department of Blood Cell Research, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands.
Sanquin · NLUniversity of Amsterdam · NLAmsterdam University Medical Centers · NLErasmus University Rotterdam · NLKobe University · JPMedical University of Vienna · ATInstitute for Sports Medicine · DEMaastricht University · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The inhibitory immunoreceptor SIRPα is expressed on myeloid and neuronal cells and interacts with the broadly expressed CD47. CD47-SIRPα interactions form an innate immune checkpoint and its targeting has shown promising results in cancer patients. Here, we report expression of SIRPα on B1 lymphocytes, a subpopulation of murine B cells responsible for the production of natural antibodies. Mice defective in SIRPα signaling (SIRPα

Indexed as

AnimalsAntibody FormationAtherosclerosisAutoantibodiesB-LymphocytesCD47 AntigenCell MovementCells, CulturedCytokinesImmunomodulationLymphoid TissueMiceMice, Inbred C57BLMice, KnockoutReceptors, ImmunologicReceptors, LDLAutoantibodiesCD47 AntigenCytokinesLDLR protein, humanReceptors, ImmunologicReceptors, LDLSirpa protein, mouseatherosclerosisB1 cellsCD11b/CD18-integrinCD47immune checkpointinhibitory receptornatural antibodiesSIRPα

Identifiers

PMID33162986
PMCPMC7581795
OpenAlexW3091997497

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.