Monocyte subpopulation profiling indicates CDK6-derived cell differentiation and identifies subpopulation-specific miRNA expression sets in acute and stable coronary artery disease View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2022-04-04

AUTHORS

Anika Witten, Leonie Martens, Ann-Christin Schäfer, Christian Troidl, Sabine Pankuweit, Ann-Kathrin Vlacil, Raghav Oberoi, Bernhard Schieffer, Karsten Grote, Monika Stoll, Birgit Markus

ABSTRACT

Coronary artery disease (CAD) is a long-lasting inflammatory disease characterized by monocyte migration into the vessel wall leading to clinical events like myocardial infarction (MI). However, the role of monocyte subsets, especially their miRNA-driven differentiation in this scenario is still in its infancy. Here, we characterized monocyte subsets in controls and disease phenotypes of CAD and MI patients using flow cytometry and miRNA and mRNA expression profiling using RNA sequencing. We observed major differences in the miRNA profiles between the classical (CD14++CD16−) and nonclassical (CD14+CD16++) monocyte subsets irrespective of the disease phenotype suggesting the Cyclin-dependent Kinase 6 (CDK6) to be an important player in monocyte maturation. Between control and MI patients, we found a set of miRNAs to be differentially expressed in the nonclassical monocytes and targeting CCND2 (Cyclin D2) that is able to enhance myocardial repair. Interestingly, miRNAs as miR-125b playing a role in vascular calcification were differentially expressed in the classical subset in patients suffering from CAD and not MI in comparison to control samples. In conclusion, our study describes specific peculiarities of monocyte subset miRNA expression in control and diseased samples and provides basis to further functional analysis and to identify new cardiovascular disease treatment targets. More... »

PAGES

5589

References to SciGraph publications

  • 2015-01-25. The mystery of BCL2 family: Bcl-2 proteins and apoptosis: an update in ARCHIVES OF TOXICOLOGY
  • 2013-11-12. MicroRNAs in myocardial ischemia: identifying new targets and tools for treating heart disease. New frontiers for miR-medicine in CELLULAR AND MOLECULAR LIFE SCIENCES
  • 2019-02-08. Identification of non-invasive biomarkers for chronic atrophic gastritis from serum exosomal microRNAs in BMC CANCER
  • 2017-04-24. Monocyte differentiation and antigen-presenting functions in NATURE REVIEWS IMMUNOLOGY
  • 2012-03-20. The three human monocyte subsets: implications for health and disease in IMMUNOLOGIC RESEARCH
  • 2011-11-27. Overexpression of microRNA-378 attenuates ischemia-induced apoptosis by inhibiting caspase-3 expression in cardiac myocytes in APOPTOSIS
  • 2013-04-25. TopHat2: accurate alignment of transcriptomes in the presence of insertions, deletions and gene fusions in GENOME BIOLOGY
  • 2018-02-15. The pro-inflammatory phenotype of the human non-classical monocyte subset is attributed to senescence in CELL DEATH & DISEASE
  • 2018-07-31. Immune cell subset differentiation and tissue inflammation in JOURNAL OF HEMATOLOGY & ONCOLOGY
  • 2014-12-05. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2 in GENOME BIOLOGY
  • 2010-10-18. MicroRNA miR-93 promotes tumor growth and angiogenesis by targeting integrin-β8 in ONCOGENE
  • 2017-08-24. Biomechanical Stretch Induces Inflammation, Proliferation, and Migration by Activating NFAT5 in Arterial Smooth Muscle Cells in INFLAMMATION
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/s41598-022-08600-7

    DOI

    http://dx.doi.org/10.1038/s41598-022-08600-7

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1146856427

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/35379829


    Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
    Incoming Citations Browse incoming citations for this publication using opencitations.net

    JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "about": [
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Medical and Health Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1102", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Cardiorespiratory Medicine and Haematology", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Cell Differentiation", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Coronary Artery Disease", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Cyclin-Dependent Kinase 6", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Humans", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "MicroRNAs", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Monocytes", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Myocardial Infarction", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Receptors, IgG", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Core Facility Genomik, Medical Faculty M\u00fcnster, Westf\u00e4lische Wilhelms-University, M\u00fcnster, Germany", 
              "id": "http://www.grid.ac/institutes/grid.5949.1", 
              "name": [
                "Genetic Epidemiology, Institute for Human Genetics, Westf\u00e4lische Wilhelms-University, Domagkstra\u00dfe 3, 48149, M\u00fcnster, Germany", 
                "Core Facility Genomik, Medical Faculty M\u00fcnster, Westf\u00e4lische Wilhelms-University, M\u00fcnster, Germany"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Witten", 
            "givenName": "Anika", 
            "id": "sg:person.01353137264.29", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01353137264.29"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Genetic Epidemiology, Institute for Human Genetics, Westf\u00e4lische Wilhelms-University, Domagkstra\u00dfe 3, 48149, M\u00fcnster, Germany", 
              "id": "http://www.grid.ac/institutes/grid.5949.1", 
              "name": [
                "Genetic Epidemiology, Institute for Human Genetics, Westf\u00e4lische Wilhelms-University, Domagkstra\u00dfe 3, 48149, M\u00fcnster, Germany"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Martens", 
            "givenName": "Leonie", 
            "id": "sg:person.013076660064.89", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013076660064.89"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Cardiology and Angiology, Philipps-University Marburg, Marburg, Germany", 
              "id": "http://www.grid.ac/institutes/grid.10253.35", 
              "name": [
                "Department of Cardiology and Angiology, Philipps-University Marburg, Marburg, Germany"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Sch\u00e4fer", 
            "givenName": "Ann-Christin", 
            "id": "sg:person.011455360356.31", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011455360356.31"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Experimental Cardiology, Justus-Liebig-University, Giessen, Germany", 
              "id": "http://www.grid.ac/institutes/grid.8664.c", 
              "name": [
                "Department of Experimental Cardiology, Justus-Liebig-University, Giessen, Germany"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Troidl", 
            "givenName": "Christian", 
            "id": "sg:person.01306027440.48", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01306027440.48"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Cardiology and Angiology, Philipps-University Marburg, Marburg, Germany", 
              "id": "http://www.grid.ac/institutes/grid.10253.35", 
              "name": [
                "Department of Cardiology and Angiology, Philipps-University Marburg, Marburg, Germany"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Pankuweit", 
            "givenName": "Sabine", 
            "id": "sg:person.01314066670.18", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01314066670.18"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Cardiology and Angiology, Philipps-University Marburg, Marburg, Germany", 
              "id": "http://www.grid.ac/institutes/grid.10253.35", 
              "name": [
                "Department of Cardiology and Angiology, Philipps-University Marburg, Marburg, Germany"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Vlacil", 
            "givenName": "Ann-Kathrin", 
            "id": "sg:person.010422215024.11", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010422215024.11"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Cardiology and Angiology, Philipps-University Marburg, Marburg, Germany", 
              "id": "http://www.grid.ac/institutes/grid.10253.35", 
              "name": [
                "Department of Cardiology and Angiology, Philipps-University Marburg, Marburg, Germany"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Oberoi", 
            "givenName": "Raghav", 
            "id": "sg:person.01235725733.07", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01235725733.07"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Cardiology and Angiology, Philipps-University Marburg, Marburg, Germany", 
              "id": "http://www.grid.ac/institutes/grid.10253.35", 
              "name": [
                "Department of Cardiology and Angiology, Philipps-University Marburg, Marburg, Germany"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Schieffer", 
            "givenName": "Bernhard", 
            "id": "sg:person.01075113266.30", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01075113266.30"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Cardiology and Angiology, Philipps-University Marburg, Marburg, Germany", 
              "id": "http://www.grid.ac/institutes/grid.10253.35", 
              "name": [
                "Department of Cardiology and Angiology, Philipps-University Marburg, Marburg, Germany"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Grote", 
            "givenName": "Karsten", 
            "id": "sg:person.01205175326.76", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01205175326.76"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Biochemistry, Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, The Netherlands", 
              "id": "http://www.grid.ac/institutes/grid.5012.6", 
              "name": [
                "Genetic Epidemiology, Institute for Human Genetics, Westf\u00e4lische Wilhelms-University, Domagkstra\u00dfe 3, 48149, M\u00fcnster, Germany", 
                "Core Facility Genomik, Medical Faculty M\u00fcnster, Westf\u00e4lische Wilhelms-University, M\u00fcnster, Germany", 
                "Department of Biochemistry, Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, The Netherlands"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Stoll", 
            "givenName": "Monika", 
            "id": "sg:person.01344566140.79", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01344566140.79"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Cardiology and Angiology, Philipps-University Marburg, Marburg, Germany", 
              "id": "http://www.grid.ac/institutes/grid.10253.35", 
              "name": [
                "Department of Cardiology and Angiology, Philipps-University Marburg, Marburg, Germany"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Markus", 
            "givenName": "Birgit", 
            "id": "sg:person.015527426011.06", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015527426011.06"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1038/s41419-018-0327-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1101041423", 
              "https://doi.org/10.1038/s41419-018-0327-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nri.2017.28", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1085051097", 
              "https://doi.org/10.1038/nri.2017.28"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00204-014-1448-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016987582", 
              "https://doi.org/10.1007/s00204-014-1448-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s13045-018-0637-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1105932609", 
              "https://doi.org/10.1186/s13045-018-0637-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/gb-2013-14-4-r36", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015459845", 
              "https://doi.org/10.1186/gb-2013-14-4-r36"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00018-013-1504-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022295317", 
              "https://doi.org/10.1007/s00018-013-1504-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s12885-019-5328-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1112024048", 
              "https://doi.org/10.1186/s12885-019-5328-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/onc.2010.465", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043022730", 
              "https://doi.org/10.1038/onc.2010.465"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s12026-012-8297-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033809592", 
              "https://doi.org/10.1007/s12026-012-8297-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10495-011-0683-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010597094", 
              "https://doi.org/10.1007/s10495-011-0683-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10753-017-0653-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1091322362", 
              "https://doi.org/10.1007/s10753-017-0653-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s13059-014-0550-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015222646", 
              "https://doi.org/10.1186/s13059-014-0550-8"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2022-04-04", 
        "datePublishedReg": "2022-04-04", 
        "description": "Coronary artery disease (CAD) is a long-lasting inflammatory disease characterized by monocyte migration into the vessel wall leading to clinical events like myocardial infarction (MI). However, the role of monocyte subsets, especially their miRNA-driven differentiation in this scenario is still in its infancy. Here, we characterized monocyte subsets in controls and disease phenotypes of CAD and MI patients using flow cytometry and miRNA and mRNA expression profiling using RNA sequencing. We observed major differences in the miRNA profiles between the classical (CD14++CD16\u2212) and nonclassical (CD14+CD16++) monocyte subsets irrespective of the disease phenotype suggesting the Cyclin-dependent Kinase 6 (CDK6) to be an important player in monocyte maturation. Between control and MI patients, we found a set of miRNAs to be differentially expressed in the nonclassical monocytes and targeting CCND2 (Cyclin D2) that is able to enhance myocardial repair. Interestingly, miRNAs as miR-125b playing a role in vascular calcification were differentially expressed in the classical subset in patients suffering from CAD and not MI in comparison to control samples. In conclusion, our study describes specific peculiarities of monocyte subset miRNA expression in control and diseased samples and provides basis to further functional analysis and to identify new cardiovascular disease treatment targets.", 
        "genre": "article", 
        "id": "sg:pub.10.1038/s41598-022-08600-7", 
        "isAccessibleForFree": true, 
        "isPartOf": [
          {
            "id": "sg:journal.1045337", 
            "issn": [
              "2045-2322"
            ], 
            "name": "Scientific Reports", 
            "publisher": "Springer Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "1", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "12"
          }
        ], 
        "keywords": [
          "coronary artery disease", 
          "myocardial infarction", 
          "monocyte subsets", 
          "cyclin-dependent kinase 6", 
          "artery disease", 
          "MI patients", 
          "stable coronary artery disease", 
          "nonclassical monocyte subsets", 
          "disease phenotype", 
          "nonclassical monocytes", 
          "clinical events", 
          "vascular calcification", 
          "inflammatory diseases", 
          "monocyte migration", 
          "treatment targets", 
          "flow cytometry", 
          "myocardial repair", 
          "patients", 
          "monocyte maturation", 
          "disease", 
          "vessel wall", 
          "mRNA expression profiling", 
          "miRNA profiles", 
          "further functional analysis", 
          "kinase 6", 
          "set of miRNAs", 
          "miRNA expression", 
          "RNA sequencing", 
          "cell differentiation", 
          "expression profiling", 
          "important players", 
          "subset", 
          "functional analysis", 
          "phenotype", 
          "infarction", 
          "monocytes", 
          "classical subsets", 
          "miRNAs", 
          "calcification", 
          "control", 
          "cytometry", 
          "expression sets", 
          "differentiation", 
          "major differences", 
          "CCND2", 
          "infancy", 
          "repair", 
          "role", 
          "profiling", 
          "maturation", 
          "conclusion", 
          "expression", 
          "miRNA", 
          "samples", 
          "target", 
          "differences", 
          "sequencing", 
          "study", 
          "events", 
          "profile", 
          "migration", 
          "wall", 
          "comparison", 
          "players", 
          "analysis", 
          "basis", 
          "specific peculiarities", 
          "set", 
          "Classical", 
          "peculiarities", 
          "scenarios"
        ], 
        "name": "Monocyte subpopulation profiling indicates CDK6-derived cell differentiation and identifies subpopulation-specific miRNA expression sets in acute and stable coronary artery disease", 
        "pagination": "5589", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1146856427"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1038/s41598-022-08600-7"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "35379829"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1038/s41598-022-08600-7", 
          "https://app.dimensions.ai/details/publication/pub.1146856427"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2022-12-01T06:44", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20221201/entities/gbq_results/article/article_934.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1038/s41598-022-08600-7"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/s41598-022-08600-7'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/s41598-022-08600-7'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41598-022-08600-7'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41598-022-08600-7'


     

    This table displays all metadata directly associated to this object as RDF triples.

    294 TRIPLES      21 PREDICATES      116 URIs      96 LITERALS      15 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1038/s41598-022-08600-7 schema:about N00bb09fb87654327941019b19ce48306
    2 N12bb2cc076f74a818d70dbb3d668898e
    3 N1b2fc737acd343e19f96678a317f0327
    4 N3bac71846a124520b2dc015a8e9ccca7
    5 N5996bf7900334e5fbc043b1122f5b24c
    6 Nbd4f2823375c4e17aaa2ac50e41e771a
    7 Ndc457b6709994950ba94680297448dfb
    8 Nf971d1d1f6e74877b6b848be50f0c801
    9 anzsrc-for:11
    10 anzsrc-for:1102
    11 schema:author Na0047d5f441a4317a49cf27a40af41bb
    12 schema:citation sg:pub.10.1007/s00018-013-1504-0
    13 sg:pub.10.1007/s00204-014-1448-7
    14 sg:pub.10.1007/s10495-011-0683-0
    15 sg:pub.10.1007/s10753-017-0653-y
    16 sg:pub.10.1007/s12026-012-8297-3
    17 sg:pub.10.1038/nri.2017.28
    18 sg:pub.10.1038/onc.2010.465
    19 sg:pub.10.1038/s41419-018-0327-1
    20 sg:pub.10.1186/gb-2013-14-4-r36
    21 sg:pub.10.1186/s12885-019-5328-7
    22 sg:pub.10.1186/s13045-018-0637-x
    23 sg:pub.10.1186/s13059-014-0550-8
    24 schema:datePublished 2022-04-04
    25 schema:datePublishedReg 2022-04-04
    26 schema:description Coronary artery disease (CAD) is a long-lasting inflammatory disease characterized by monocyte migration into the vessel wall leading to clinical events like myocardial infarction (MI). However, the role of monocyte subsets, especially their miRNA-driven differentiation in this scenario is still in its infancy. Here, we characterized monocyte subsets in controls and disease phenotypes of CAD and MI patients using flow cytometry and miRNA and mRNA expression profiling using RNA sequencing. We observed major differences in the miRNA profiles between the classical (CD14++CD16−) and nonclassical (CD14+CD16++) monocyte subsets irrespective of the disease phenotype suggesting the Cyclin-dependent Kinase 6 (CDK6) to be an important player in monocyte maturation. Between control and MI patients, we found a set of miRNAs to be differentially expressed in the nonclassical monocytes and targeting CCND2 (Cyclin D2) that is able to enhance myocardial repair. Interestingly, miRNAs as miR-125b playing a role in vascular calcification were differentially expressed in the classical subset in patients suffering from CAD and not MI in comparison to control samples. In conclusion, our study describes specific peculiarities of monocyte subset miRNA expression in control and diseased samples and provides basis to further functional analysis and to identify new cardiovascular disease treatment targets.
    27 schema:genre article
    28 schema:isAccessibleForFree true
    29 schema:isPartOf N2d9de463ef394c5f843734b5bb4cb8a8
    30 Nac1d3a063c60479283a31aa03a6d9119
    31 sg:journal.1045337
    32 schema:keywords CCND2
    33 Classical
    34 MI patients
    35 RNA sequencing
    36 analysis
    37 artery disease
    38 basis
    39 calcification
    40 cell differentiation
    41 classical subsets
    42 clinical events
    43 comparison
    44 conclusion
    45 control
    46 coronary artery disease
    47 cyclin-dependent kinase 6
    48 cytometry
    49 differences
    50 differentiation
    51 disease
    52 disease phenotype
    53 events
    54 expression
    55 expression profiling
    56 expression sets
    57 flow cytometry
    58 functional analysis
    59 further functional analysis
    60 important players
    61 infancy
    62 infarction
    63 inflammatory diseases
    64 kinase 6
    65 mRNA expression profiling
    66 major differences
    67 maturation
    68 miRNA
    69 miRNA expression
    70 miRNA profiles
    71 miRNAs
    72 migration
    73 monocyte maturation
    74 monocyte migration
    75 monocyte subsets
    76 monocytes
    77 myocardial infarction
    78 myocardial repair
    79 nonclassical monocyte subsets
    80 nonclassical monocytes
    81 patients
    82 peculiarities
    83 phenotype
    84 players
    85 profile
    86 profiling
    87 repair
    88 role
    89 samples
    90 scenarios
    91 sequencing
    92 set
    93 set of miRNAs
    94 specific peculiarities
    95 stable coronary artery disease
    96 study
    97 subset
    98 target
    99 treatment targets
    100 vascular calcification
    101 vessel wall
    102 wall
    103 schema:name Monocyte subpopulation profiling indicates CDK6-derived cell differentiation and identifies subpopulation-specific miRNA expression sets in acute and stable coronary artery disease
    104 schema:pagination 5589
    105 schema:productId N26d2597bcfea4611bc1ce07626041918
    106 N55d37a1d11344bc2a38e9e95adb14867
    107 Nab41c38184c94a1bb56aeb92cc196c61
    108 schema:sameAs https://app.dimensions.ai/details/publication/pub.1146856427
    109 https://doi.org/10.1038/s41598-022-08600-7
    110 schema:sdDatePublished 2022-12-01T06:44
    111 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    112 schema:sdPublisher Nc678487d84cd48c28029b53f1053b42a
    113 schema:url https://doi.org/10.1038/s41598-022-08600-7
    114 sgo:license sg:explorer/license/
    115 sgo:sdDataset articles
    116 rdf:type schema:ScholarlyArticle
    117 N00bb09fb87654327941019b19ce48306 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    118 schema:name Cell Differentiation
    119 rdf:type schema:DefinedTerm
    120 N12bb2cc076f74a818d70dbb3d668898e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    121 schema:name MicroRNAs
    122 rdf:type schema:DefinedTerm
    123 N1b2fc737acd343e19f96678a317f0327 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    124 schema:name Monocytes
    125 rdf:type schema:DefinedTerm
    126 N26d2597bcfea4611bc1ce07626041918 schema:name pubmed_id
    127 schema:value 35379829
    128 rdf:type schema:PropertyValue
    129 N2d9de463ef394c5f843734b5bb4cb8a8 schema:issueNumber 1
    130 rdf:type schema:PublicationIssue
    131 N2f5c5d8c052f4a4d8f632dc92e8c595e rdf:first sg:person.010422215024.11
    132 rdf:rest Ne4ea556c3cd04bd48e37110285c6d387
    133 N3bac71846a124520b2dc015a8e9ccca7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    134 schema:name Cyclin-Dependent Kinase 6
    135 rdf:type schema:DefinedTerm
    136 N55d37a1d11344bc2a38e9e95adb14867 schema:name dimensions_id
    137 schema:value pub.1146856427
    138 rdf:type schema:PropertyValue
    139 N5996bf7900334e5fbc043b1122f5b24c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    140 schema:name Coronary Artery Disease
    141 rdf:type schema:DefinedTerm
    142 N70ece019731f430e89bc269f06e547dd rdf:first sg:person.01344566140.79
    143 rdf:rest N9ec68c5df8a948bc86e4ec0837ad7edb
    144 N8ce2741c20f04adeb3cf9d5164a96e6c rdf:first sg:person.013076660064.89
    145 rdf:rest Nfcbfd1db496841549693975aacc65554
    146 N9df8bd69d9a84026933a4aa042c211c6 rdf:first sg:person.01205175326.76
    147 rdf:rest N70ece019731f430e89bc269f06e547dd
    148 N9ec68c5df8a948bc86e4ec0837ad7edb rdf:first sg:person.015527426011.06
    149 rdf:rest rdf:nil
    150 Na0047d5f441a4317a49cf27a40af41bb rdf:first sg:person.01353137264.29
    151 rdf:rest N8ce2741c20f04adeb3cf9d5164a96e6c
    152 Nab41c38184c94a1bb56aeb92cc196c61 schema:name doi
    153 schema:value 10.1038/s41598-022-08600-7
    154 rdf:type schema:PropertyValue
    155 Nab74b6156f5a4c399763534e739d05a0 rdf:first sg:person.01314066670.18
    156 rdf:rest N2f5c5d8c052f4a4d8f632dc92e8c595e
    157 Nac1d3a063c60479283a31aa03a6d9119 schema:volumeNumber 12
    158 rdf:type schema:PublicationVolume
    159 Nbce6a16f3af94fe989095f18f9f59708 rdf:first sg:person.01306027440.48
    160 rdf:rest Nab74b6156f5a4c399763534e739d05a0
    161 Nbd4f2823375c4e17aaa2ac50e41e771a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    162 schema:name Humans
    163 rdf:type schema:DefinedTerm
    164 Nbf4f8326b8a0435db63bb24c1a332fab rdf:first sg:person.01075113266.30
    165 rdf:rest N9df8bd69d9a84026933a4aa042c211c6
    166 Nc678487d84cd48c28029b53f1053b42a schema:name Springer Nature - SN SciGraph project
    167 rdf:type schema:Organization
    168 Ndc457b6709994950ba94680297448dfb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    169 schema:name Receptors, IgG
    170 rdf:type schema:DefinedTerm
    171 Ne4ea556c3cd04bd48e37110285c6d387 rdf:first sg:person.01235725733.07
    172 rdf:rest Nbf4f8326b8a0435db63bb24c1a332fab
    173 Nf971d1d1f6e74877b6b848be50f0c801 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    174 schema:name Myocardial Infarction
    175 rdf:type schema:DefinedTerm
    176 Nfcbfd1db496841549693975aacc65554 rdf:first sg:person.011455360356.31
    177 rdf:rest Nbce6a16f3af94fe989095f18f9f59708
    178 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
    179 schema:name Medical and Health Sciences
    180 rdf:type schema:DefinedTerm
    181 anzsrc-for:1102 schema:inDefinedTermSet anzsrc-for:
    182 schema:name Cardiorespiratory Medicine and Haematology
    183 rdf:type schema:DefinedTerm
    184 sg:journal.1045337 schema:issn 2045-2322
    185 schema:name Scientific Reports
    186 schema:publisher Springer Nature
    187 rdf:type schema:Periodical
    188 sg:person.010422215024.11 schema:affiliation grid-institutes:grid.10253.35
    189 schema:familyName Vlacil
    190 schema:givenName Ann-Kathrin
    191 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010422215024.11
    192 rdf:type schema:Person
    193 sg:person.01075113266.30 schema:affiliation grid-institutes:grid.10253.35
    194 schema:familyName Schieffer
    195 schema:givenName Bernhard
    196 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01075113266.30
    197 rdf:type schema:Person
    198 sg:person.011455360356.31 schema:affiliation grid-institutes:grid.10253.35
    199 schema:familyName Schäfer
    200 schema:givenName Ann-Christin
    201 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011455360356.31
    202 rdf:type schema:Person
    203 sg:person.01205175326.76 schema:affiliation grid-institutes:grid.10253.35
    204 schema:familyName Grote
    205 schema:givenName Karsten
    206 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01205175326.76
    207 rdf:type schema:Person
    208 sg:person.01235725733.07 schema:affiliation grid-institutes:grid.10253.35
    209 schema:familyName Oberoi
    210 schema:givenName Raghav
    211 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01235725733.07
    212 rdf:type schema:Person
    213 sg:person.01306027440.48 schema:affiliation grid-institutes:grid.8664.c
    214 schema:familyName Troidl
    215 schema:givenName Christian
    216 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01306027440.48
    217 rdf:type schema:Person
    218 sg:person.013076660064.89 schema:affiliation grid-institutes:grid.5949.1
    219 schema:familyName Martens
    220 schema:givenName Leonie
    221 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013076660064.89
    222 rdf:type schema:Person
    223 sg:person.01314066670.18 schema:affiliation grid-institutes:grid.10253.35
    224 schema:familyName Pankuweit
    225 schema:givenName Sabine
    226 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01314066670.18
    227 rdf:type schema:Person
    228 sg:person.01344566140.79 schema:affiliation grid-institutes:grid.5012.6
    229 schema:familyName Stoll
    230 schema:givenName Monika
    231 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01344566140.79
    232 rdf:type schema:Person
    233 sg:person.01353137264.29 schema:affiliation grid-institutes:grid.5949.1
    234 schema:familyName Witten
    235 schema:givenName Anika
    236 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01353137264.29
    237 rdf:type schema:Person
    238 sg:person.015527426011.06 schema:affiliation grid-institutes:grid.10253.35
    239 schema:familyName Markus
    240 schema:givenName Birgit
    241 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015527426011.06
    242 rdf:type schema:Person
    243 sg:pub.10.1007/s00018-013-1504-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022295317
    244 https://doi.org/10.1007/s00018-013-1504-0
    245 rdf:type schema:CreativeWork
    246 sg:pub.10.1007/s00204-014-1448-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016987582
    247 https://doi.org/10.1007/s00204-014-1448-7
    248 rdf:type schema:CreativeWork
    249 sg:pub.10.1007/s10495-011-0683-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010597094
    250 https://doi.org/10.1007/s10495-011-0683-0
    251 rdf:type schema:CreativeWork
    252 sg:pub.10.1007/s10753-017-0653-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1091322362
    253 https://doi.org/10.1007/s10753-017-0653-y
    254 rdf:type schema:CreativeWork
    255 sg:pub.10.1007/s12026-012-8297-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033809592
    256 https://doi.org/10.1007/s12026-012-8297-3
    257 rdf:type schema:CreativeWork
    258 sg:pub.10.1038/nri.2017.28 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085051097
    259 https://doi.org/10.1038/nri.2017.28
    260 rdf:type schema:CreativeWork
    261 sg:pub.10.1038/onc.2010.465 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043022730
    262 https://doi.org/10.1038/onc.2010.465
    263 rdf:type schema:CreativeWork
    264 sg:pub.10.1038/s41419-018-0327-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101041423
    265 https://doi.org/10.1038/s41419-018-0327-1
    266 rdf:type schema:CreativeWork
    267 sg:pub.10.1186/gb-2013-14-4-r36 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015459845
    268 https://doi.org/10.1186/gb-2013-14-4-r36
    269 rdf:type schema:CreativeWork
    270 sg:pub.10.1186/s12885-019-5328-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112024048
    271 https://doi.org/10.1186/s12885-019-5328-7
    272 rdf:type schema:CreativeWork
    273 sg:pub.10.1186/s13045-018-0637-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1105932609
    274 https://doi.org/10.1186/s13045-018-0637-x
    275 rdf:type schema:CreativeWork
    276 sg:pub.10.1186/s13059-014-0550-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015222646
    277 https://doi.org/10.1186/s13059-014-0550-8
    278 rdf:type schema:CreativeWork
    279 grid-institutes:grid.10253.35 schema:alternateName Department of Cardiology and Angiology, Philipps-University Marburg, Marburg, Germany
    280 schema:name Department of Cardiology and Angiology, Philipps-University Marburg, Marburg, Germany
    281 rdf:type schema:Organization
    282 grid-institutes:grid.5012.6 schema:alternateName Department of Biochemistry, Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, The Netherlands
    283 schema:name Core Facility Genomik, Medical Faculty Münster, Westfälische Wilhelms-University, Münster, Germany
    284 Department of Biochemistry, Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, The Netherlands
    285 Genetic Epidemiology, Institute for Human Genetics, Westfälische Wilhelms-University, Domagkstraße 3, 48149, Münster, Germany
    286 rdf:type schema:Organization
    287 grid-institutes:grid.5949.1 schema:alternateName Core Facility Genomik, Medical Faculty Münster, Westfälische Wilhelms-University, Münster, Germany
    288 Genetic Epidemiology, Institute for Human Genetics, Westfälische Wilhelms-University, Domagkstraße 3, 48149, Münster, Germany
    289 schema:name Core Facility Genomik, Medical Faculty Münster, Westfälische Wilhelms-University, Münster, Germany
    290 Genetic Epidemiology, Institute for Human Genetics, Westfälische Wilhelms-University, Domagkstraße 3, 48149, Münster, Germany
    291 rdf:type schema:Organization
    292 grid-institutes:grid.8664.c schema:alternateName Department of Experimental Cardiology, Justus-Liebig-University, Giessen, Germany
    293 schema:name Department of Experimental Cardiology, Justus-Liebig-University, Giessen, Germany
    294 rdf:type schema:Organization
     




    Preview window. Press ESC to close (or click here)


    ...