Single‐cell mRNA profiling reveals the hierarchical response of miRNA targets to miRNA induction
Dateien
Datum
Autor:innen
Herausgeber:innen
ISSN der Zeitschrift
Electronic ISSN
ISBN
Bibliografische Daten
Verlag
Schriftenreihe
Auflagebezeichnung
URI (zitierfähiger Link)
DOI (zitierfähiger Link)
Internationale Patentnummer
Link zur Lizenz
Angaben zur Forschungsförderung
Projekt
Open Access-Veröffentlichung
Sammlungen
Core Facility der Universität Konstanz
Titel in einer weiteren Sprache
Publikationstyp
Publikationsstatus
Erschienen in
Zusammenfassung
miRNAs are small RNAs that regulate gene expression post‐transcriptionally. By repressing the translation and promoting the degradation of target mRNAs, miRNAs may reduce the cell‐to‐cell variability in protein expression, induce correlations between target expression levels, and provide a layer through which targets can influence each other's expression as “competing RNAs” (ceRNAs). However, experimental evidence for these behaviors is limited. Combining mathematical modeling with RNA sequencing of individual human embryonic kidney cells in which the expression of two distinct miRNAs was induced over a wide range, we have inferred parameters describing the response of hundreds of miRNA targets to miRNA induction. Individual targets have widely different response dynamics, and only a small proportion of predicted targets exhibit high sensitivity to miRNA induction. Our data reveal for the first time the response parameters of the entire network of endogenous miRNA targets to miRNA induction, demonstrating that miRNAs correlate target expression and at the same time increase the variability in expression of individual targets across cells. The approach is generalizable to other miRNAs and post‐transcriptional regulators to improve the understanding of gene expression dynamics in individual cell types.
Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
Schlagwörter
Konferenz
Rezension
Zitieren
ISO 690
RZEPIELA, Andrzej J., Souvik GHOSH, Jeremie BREDA, Arnau VINA-VILASECA, Afzal P. SYED, Andreas J. GRUBER, Katja ESCHBACH, Christian BEISEL, Erik NIMWEGEN, Mihaela ZAVOLAN, 2018. Single‐cell mRNA profiling reveals the hierarchical response of miRNA targets to miRNA induction. In: Molecular Systems Biology. Wiley. 2018, 14(8), e8266. eISSN 1744-4292. Available under: doi: 10.15252/msb.20188266BibTex
@article{Rzepiela2018-08-27Singl-50939, year={2018}, doi={10.15252/msb.20188266}, title={Single‐cell mRNA profiling reveals the hierarchical response of miRNA targets to miRNA induction}, number={8}, volume={14}, journal={Molecular Systems Biology}, author={Rzepiela, Andrzej J. and Ghosh, Souvik and Breda, Jeremie and Vina-Vilaseca, Arnau and Syed, Afzal P. and Gruber, Andreas J. and Eschbach, Katja and Beisel, Christian and Nimwegen, Erik and Zavolan, Mihaela}, note={Article Number: e8266} }
RDF
<rdf:RDF xmlns:dcterms="http://purl.org/dc/terms/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bibo="http://purl.org/ontology/bibo/" xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:void="http://rdfs.org/ns/void#" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/50939"> <dc:creator>Eschbach, Katja</dc:creator> <dcterms:issued>2018-08-27</dcterms:issued> <dc:contributor>Beisel, Christian</dc:contributor> <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/50939/3/Rzepiela_2-1mz66dic033cd8.pdf"/> <dc:creator>Gruber, Andreas J.</dc:creator> <dcterms:title>Single‐cell mRNA profiling reveals the hierarchical response of miRNA targets to miRNA induction</dcterms:title> <dc:contributor>Breda, Jeremie</dc:contributor> <dc:language>eng</dc:language> <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/28"/> <dc:creator>Syed, Afzal P.</dc:creator> <dc:creator>Breda, Jeremie</dc:creator> <dc:contributor>Gruber, Andreas J.</dc:contributor> <foaf:homepage rdf:resource="http://localhost:8080/"/> <dc:contributor>Zavolan, Mihaela</dc:contributor> <dc:creator>Rzepiela, Andrzej J.</dc:creator> <dc:contributor>Vina-Vilaseca, Arnau</dc:contributor> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2020-09-22T07:56:52Z</dc:date> <dc:creator>Nimwegen, Erik</dc:creator> <dc:creator>Beisel, Christian</dc:creator> <dcterms:abstract xml:lang="eng">miRNAs are small RNAs that regulate gene expression post‐transcriptionally. By repressing the translation and promoting the degradation of target mRNAs, miRNAs may reduce the cell‐to‐cell variability in protein expression, induce correlations between target expression levels, and provide a layer through which targets can influence each other's expression as “competing RNAs” (ceRNAs). However, experimental evidence for these behaviors is limited. Combining mathematical modeling with RNA sequencing of individual human embryonic kidney cells in which the expression of two distinct miRNAs was induced over a wide range, we have inferred parameters describing the response of hundreds of miRNA targets to miRNA induction. Individual targets have widely different response dynamics, and only a small proportion of predicted targets exhibit high sensitivity to miRNA induction. Our data reveal for the first time the response parameters of the entire network of endogenous miRNA targets to miRNA induction, demonstrating that miRNAs correlate target expression and at the same time increase the variability in expression of individual targets across cells. The approach is generalizable to other miRNAs and post‐transcriptional regulators to improve the understanding of gene expression dynamics in individual cell types.</dcterms:abstract> <dc:contributor>Ghosh, Souvik</dc:contributor> <dc:contributor>Syed, Afzal P.</dc:contributor> <dc:contributor>Eschbach, Katja</dc:contributor> <dc:creator>Zavolan, Mihaela</dc:creator> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/28"/> <dc:creator>Ghosh, Souvik</dc:creator> <dcterms:rights rdf:resource="http://creativecommons.org/licenses/by/4.0/"/> <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/50939/3/Rzepiela_2-1mz66dic033cd8.pdf"/> <dc:contributor>Rzepiela, Andrzej J.</dc:contributor> <dc:contributor>Nimwegen, Erik</dc:contributor> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2020-09-22T07:56:52Z</dcterms:available> <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/50939"/> <dc:rights>Attribution 4.0 International</dc:rights> <dc:creator>Vina-Vilaseca, Arnau</dc:creator> </rdf:Description> </rdf:RDF>