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dc.contributor.authorGriffiths, Jonathan
dc.contributor.authorScialdone, Antonio
dc.contributor.authorMarioni, John
dc.date.accessioned2018-08-20T10:37:11Z
dc.date.available2018-08-20T10:37:11Z
dc.date.issued2018-04-16
dc.identifier.issn1744-4292
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/278954
dc.description.abstractHigh-throughput -omics techniques have revolutionised biology, allowing for thorough and unbiased characterisation of the molecular states of biological systems. However, cellular decision-making is inherently a unicellular process to which "bulk" -omics techniques are poorly suited, as they capture ensemble averages of cell states. Recently developed single-cell methods bridge this gap, allowing high-throughput molecular surveys of individual cells. In this review, we cover core concepts of analysis of single-cell gene expression data and highlight areas of developmental biology where single-cell techniques have made important contributions. These include understanding of cell-to-cell heterogeneity, the tracing of differentiation pathways, quantification of gene expression from specific alleles, and the future directions of cell lineage tracing and spatial gene expression analysis.
dc.description.sponsorshipJ.A.G. was supported by Wellcome Trust Grant “Systematic Identification of Lineage Specification in Murine Gastrulation” (109081/Z/15/A). A.S. was supported by Wellcome Trust Grant “Tracing early mammalian lineage decisions by single cell genomics” (105031/B/14/Z). J.C.M. was supported by core funding from Cancer Research UK (award no. A17197) and EMBL.
dc.languageeng
dc.publisherWiley
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectcell fate
dc.subjectdevelopment
dc.subjectdifferentiation
dc.subjectsingle‐cell RNA‐seq
dc.subjecttranscriptome
dc.titleUsing single-cell genomics to understand developmental processes and cell fate decisions.
dc.typeArticle
prism.endingPagee8046
prism.issueIdentifier4
prism.publicationDate2018
prism.publicationNameMolecular Systems Biology
prism.startingPagee8046
prism.volume14
dc.identifier.doi10.17863/CAM.26336
dcterms.dateAccepted2018-01-19
rioxxterms.versionofrecord10.15252/msb.20178046
rioxxterms.versionVoR
rioxxterms.licenseref.urihttp://creativecommons.org/licenses/by/4.0/
rioxxterms.licenseref.startdate2018-04-16
dc.contributor.orcidGriffiths, Jonathan [0000-0002-2010-2296]
dc.contributor.orcidMarioni, John [0000-0001-9092-0852]
dc.identifier.eissn1744-4292
dc.publisher.urlhttp://msb.embopress.org/content/14/4/e8046
rioxxterms.typeJournal Article/Review
pubs.funder-project-idWellcome Trust (109081/Z/15/Z)
cam.issuedOnline2018-04-16
dc.identifier.urlhttp://msb.embopress.org/content/14/4/e8046
cam.orpheus.successThu Jan 30 12:59:00 GMT 2020 - The item has an open VoR version.
rioxxterms.freetoread.startdate2100-01-01


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Attribution 4.0 International
Except where otherwise noted, this item's licence is described as Attribution 4.0 International