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dc.contributor.authorSimmons, Sean K
dc.contributor.authorLithwick-Yanai, Gila
dc.contributor.authorAdiconis, Xian
dc.contributor.authorOberstrass, Florian
dc.contributor.authorIremadze, Nika
dc.contributor.authorGeiger-Schuller, Kathryn
dc.contributor.authorThakore, Pratiksha I
dc.contributor.authorFrangieh, Chris J
dc.contributor.authorBarad, Omer
dc.contributor.authorAlmogy, Gilad
dc.contributor.authorRozenblatt-Rosen, Orit
dc.contributor.authorRegev, Aviv
dc.contributor.authorLipson, Doron
dc.contributor.authorLevin, Joshua Z
dc.date.accessioned2023-01-13T15:16:35Z
dc.date.available2023-01-13T15:16:35Z
dc.date.issued2022
dc.identifier.urihttps://hdl.handle.net/1721.1/147097
dc.description.abstract<jats:title>Abstract</jats:title><jats:p>Here we introduce a mostly natural sequencing-by-synthesis (mnSBS) method for single-cell RNA sequencing (scRNA-seq), adapted to the Ultima genomics platform, and systematically benchmark it against current scRNA-seq technology. mnSBS uses mostly natural, unmodified nucleotides and only a low fraction of fluorescently labeled nucleotides, which allows for high polymerase processivity and lower costs. We demonstrate successful application in four scRNA-seq case studies of different technical and biological types, including 5′ and 3′ scRNA-seq, human peripheral blood mononuclear cells from a single individual and in multiplex, as well as Perturb-Seq. Benchmarking shows that results from mnSBS-based scRNA-seq are very similar to those using Illumina sequencing, with minor differences in results related to the position of reads relative to annotated gene boundaries, owing to single-end reads of Ultima being closer to gene ends than reads from Illumina. The method is thus compatible with state-of-the-art scRNA-seq libraries independent of the sequencing technology. We expect mnSBS to be of particular utility for cost-effective large-scale scRNA-seq projects.</jats:p>en_US
dc.language.isoen
dc.publisherSpringer Science and Business Media LLCen_US
dc.relation.isversionof10.1038/S41587-022-01452-6en_US
dc.rightsCreative Commons Attribution 4.0 International licenseen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceNatureen_US
dc.titleMostly natural sequencing-by-synthesis for scRNA-seq using Ultima sequencingen_US
dc.typeArticleen_US
dc.identifier.citationSimmons, Sean K, Lithwick-Yanai, Gila, Adiconis, Xian, Oberstrass, Florian, Iremadze, Nika et al. 2022. "Mostly natural sequencing-by-synthesis for scRNA-seq using Ultima sequencing." Nature Biotechnology.
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biologyen_US
dc.relation.journalNature Biotechnologyen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2023-01-13T14:59:32Z
dspace.orderedauthorsSimmons, SK; Lithwick-Yanai, G; Adiconis, X; Oberstrass, F; Iremadze, N; Geiger-Schuller, K; Thakore, PI; Frangieh, CJ; Barad, O; Almogy, G; Rozenblatt-Rosen, O; Regev, A; Lipson, D; Levin, JZen_US
dspace.date.submission2023-01-13T14:59:44Z
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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