Evidence map›Paper›PMID 33353544›Full record

ArticleBMC genomics2020

Comparison of the central human and mouse platelet signaling cascade by systems biological analysis.

Johannes Balkenhol, Kristin V Kaltdorf, Elmina Mammadova-Bach, Attila Braun, Bernhard Nieswandt, Marcus Dittrich, Thomas Dandekar

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.1field-weighted citation impact, top 10% 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

17 citing papers in PubMed, 30 citations in OpenAlex.

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  7. Ablation of CD38 Alleviates the Secondary Aggregation of Platelets.Indian journal of hematology & blood transfusion : an official journal of Indian Society of Hematology and Blood Transfusion · 2025
    Article
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  10. Experimental conditions shapeFrontiers in immunology · 2025
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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

7 authors at 2 institutions in 1 country.

Johannes BalkenholFunctional Genomics and Systems Biology Group, Department of Bioinformatics, Biocenter, Am Hubland, University of Würzburg, D-97074, Würzburg, Germany.
Kristin V KaltdorfFunctional Genomics and Systems Biology Group, Department of Bioinformatics, Biocenter, Am Hubland, University of Würzburg, D-97074, Würzburg, Germany.
Elmina Mammadova-BachInstitute of Experimental Biomedicine, University Hospital and Rudolf Virchow Centre, University of Würzburg, Würzburg, Germany.
Attila BraunMember of the German Center for Lung Research (DZL), Walther-Straub-Institute for Pharmacology and Toxicology, Ludwig-Maximilians University Munich, Munich, Germany.
Bernhard NieswandtInstitute of Experimental Biomedicine, University Hospital and Rudolf Virchow Centre, University of Würzburg, Würzburg, Germany.
Marcus DittrichFunctional Genomics and Systems Biology Group, Department of Bioinformatics, Biocenter, Am Hubland, University of Würzburg, D-97074, Würzburg, Germany.
Thomas DandekarFunctional Genomics and Systems Biology Group, Department of Bioinformatics, Biocenter, Am Hubland, University of Würzburg, D-97074, Würzburg, Germany. dandekar@biozentrum.uni-wuerzburg.de.ORCID http://orcid.org/0000-0003-1886-7625
University of Würzburg · DEGerman Center for Lung Research · DE

Funding

Deutsche Forschungsgemeinschaft Project number 3 74031971 - TRR 240/A1Deutsche Forschungsgemeinschaft Project number 3 74031971 - TRR 240/A9Deutsche Forschungsgemeinschaft Project number 3 74031971 - TRR 240/INFEuropäischer Entwicklungsfonds Bayern EFFRE
6 · The paper itself

Abstract

backgroundUnderstanding the molecular mechanisms of platelet activation and aggregation is of high interest for basic and clinical hemostasis and thrombosis research. The central platelet protein interaction network is involved in major responses to exogenous factors. This is defined by systemsbiological pathway analysis as the central regulating signaling cascade of platelets (CC).

resultsThe CC is systematically compared here between mouse and human and major differences were found. Genetic differences were analysed comparing orthologous human and mouse genes. We next analyzed different expression levels of mRNAs. Considering 4 mouse and 7 human high-quality proteome data sets, we identified then those major mRNA expression differences (81%) which were supported by proteome data. CC is conserved regarding genetic completeness, but we observed major differences in mRNA and protein levels between both species. Looking at central interactors, human PLCB2, MMP9, BDNF, ITPR3 and SLC25A6 (always Entrez notation) show absence in all murine datasets. CC interactors GNG12, PRKCE and ADCY9 occur only in mice. Looking at the common proteins, TLN1, CALM3, PRKCB, APP, SOD2 and TIMP1 are higher abundant in human, whereas RASGRP2, ITGB2, MYL9, EIF4EBP1, ADAM17, ARRB2, CD9 and ZYX are higher abundant in mouse. Pivotal kinase SRC shows different regulation on mRNA and protein level as well as ADP receptor P2RY12.

conclusionsOur results highlight species-specific differences in platelet signaling and points of specific fine-tuning in human platelets as well as murine-specific signaling differences.

Indexed as

Platelet ActivationThrombosisAnimalsBlood PlateletsGuanine Nucleotide Exchange FactorsHumansMiceProteomeSignal TransductionGuanine Nucleotide Exchange FactorsProteomeRASGRP2 protein, humanCascadeHumanInteractomeInterspecies comparisonMouseNetworkPlateletProteomeSignalingTranscriptome

Identifiers

PMID33353544
PMCPMC7756956
OpenAlexW3111946351

What Socratic 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 Socratic graph.