Show simple item record

dc.contributor.authorWatcham, Samuel
dc.contributor.authorKucinski, Iwo
dc.contributor.authorGottgens, Berthold
dc.date.accessioned2019-01-17T10:25:04Z
dc.date.available2019-01-17T10:25:04Z
dc.date.issued2019-03-28
dc.identifier.issn0006-4971
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/288121
dc.description.abstractSingle-cell transcriptomics has recently emerged as a powerful tool to analyze cellular heterogeneity, discover new cell types, and infer putative differentiation routes. The technique has been rapidly embraced by the hematopoiesis research community, and like other technologies before, single-cell molecular profiling is widely expected to make important contributions to our understanding of the hematopoietic hierarchy. Much of this new interpretation relies on inference of the transcriptomic landscape as a representation of existing cellular states and associated transitions among them. Here we review how this model allows, under certain assumptions, charting of time-resolved differentiation trajectories with unparalleled resolution and how the landscape of multipotent cells may be rather devoid of discrete structures, challenging our preconceptions about stem and progenitor cell types and their organization. Finally, we highlight how promising technological advances may convert static differentiation landscapes into a dynamic cell flux model and thus provide a more holistic understanding of normal hematopoiesis and blood disorders.
dc.description.sponsorshipWork in the Gottgens Laboratory is funded by grants from Wellcome; Bloodwise; Cancer Research UK; National Institutes of Health (NIDDK DK106766); and core support grants by Wellcome to the Wellcome–Medical Research Council Cambridge Stem Cell Institute. SW is the recipient of a Medical Research Council Studentship.
dc.format.mediumPrint-Electronic
dc.languageeng
dc.publisherAmerican Society of Hematology
dc.subjectHematopoietic Stem Cells
dc.subjectAnimals
dc.subjectHumans
dc.subjectSequence Analysis, RNA
dc.subjectHematopoiesis
dc.subjectSingle-Cell Analysis
dc.titleNew insights into hematopoietic differentiation landscapes from single-cell RNA sequencing.
dc.typeArticle
prism.endingPage1426
prism.issueIdentifier13
prism.publicationDate2019
prism.publicationNameBlood
prism.startingPage1415
prism.volume133
dc.identifier.doi10.17863/CAM.35436
dcterms.dateAccepted2018-10-22
rioxxterms.versionofrecord10.1182/blood-2018-08-835355
rioxxterms.versionAM
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2019-03
dc.contributor.orcidWatcham, Samuel [0000-0002-8399-7875]
dc.contributor.orcidKucinski, Iwo [0000-0002-9385-0359]
dc.contributor.orcidGottgens, Berthold [0000-0001-6302-5705]
dc.identifier.eissn1528-0020
rioxxterms.typeJournal Article/Review
pubs.funder-project-idWellcome Trust (105031/D/14/Z)
pubs.funder-project-idCancer Research UK (21762)
pubs.funder-project-idMedical Research Council (MR/M008975/1)
pubs.funder-project-idNational Institute of Diabetes and Digestive and Kidney Diseases (R24DK106766)
pubs.funder-project-idMedical Research Council (MC_PC_12009)
pubs.funder-project-idMedical Research Council (MR/S036113/1)
cam.orpheus.successThu Jan 30 10:53:03 GMT 2020 - Embargo updated
rioxxterms.freetoread.startdate2020-03-31


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record