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dc.contributor.authorReid, Adam J
dc.contributor.authorTalman, Arthur M
dc.contributor.authorBennett, Hayley M
dc.contributor.authorGomes, Ana R
dc.contributor.authorSanders, Mandy J
dc.contributor.authorIllingworth, Christopher
dc.contributor.authorBillker, Oliver
dc.contributor.authorBerriman, Matthew
dc.contributor.authorLawniczak, Mara Kn
dc.date.accessioned2018-10-10T05:16:49Z
dc.date.available2018-10-10T05:16:49Z
dc.date.issued2018-03-27
dc.identifier.issn2050-084X
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/283353
dc.description.abstractSingle-cell RNA-sequencing is revolutionising our understanding of seemingly homogeneous cell populations but has not yet been widely applied to single-celled organisms. Transcriptional variation in unicellular malaria parasites from the Plasmodium genus is associated with critical phenotypes including red blood cell invasion and immune evasion, yet transcriptional variation at an individual parasite level has not been examined in depth. Here, we describe the adaptation of a single-cell RNA-sequencing (scRNA-seq) protocol to deconvolute transcriptional variation for more than 500 individual parasites of both rodent and human malaria comprising asexual and sexual life-cycle stages. We uncover previously hidden discrete transcriptional signatures during the pathogenic part of the life cycle, suggesting that expression over development is not as continuous as commonly thought. In transmission stages, we find novel, sex-specific roles for differential expression of contingency gene families that are usually associated with immune evasion and pathogenesis.
dc.format.mediumElectronic
dc.languageeng
dc.publishereLife Sciences Publications, Ltd
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectAnimals
dc.subjectHumans
dc.subjectRodentia
dc.subjectPlasmodium
dc.subjectGene Expression Profiling
dc.subjectSequence Analysis, RNA
dc.subjectGenetic Variation
dc.subjectSingle-Cell Analysis
dc.titleSingle-cell RNA-seq reveals hidden transcriptional variation in malaria parasites.
dc.typeArticle
prism.publicationDate2018
prism.publicationNameElife
prism.volume7
dc.identifier.doi10.17863/CAM.30721
dcterms.dateAccepted2018-03-04
rioxxterms.versionofrecord10.7554/eLife.33105
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2018-03-27
dc.contributor.orcidIllingworth, Christopher [0000-0002-0030-2784]
dc.contributor.orcidBillker, Oliver [0000-0003-1716-168X]
dc.contributor.orcidBerriman, Matthew [0000-0002-9581-0377]
dc.contributor.orcidLawniczak, Mara Kn [0000-0002-3006-2080]
dc.identifier.eissn2050-084X
rioxxterms.typeJournal Article/Review
pubs.funder-project-idWellcome Trust (101239/Z/13/Z)
cam.issuedOnline2018-03-27


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