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dc.contributor.authorAndrews, Tallulah S
dc.contributor.authorAtif, Jawairia
dc.contributor.authorLiu, Jeff C
dc.contributor.authorPerciani, Catia T
dc.contributor.authorMa, Xue-Zhong
dc.contributor.authorThoeni, Cornelia
dc.contributor.authorSlyper, Michal
dc.contributor.authorEraslan, Gökcen
dc.contributor.authorSegerstolpe, Asa
dc.contributor.authorManuel, Justin
dc.contributor.authorChung, Sai
dc.contributor.authorWinter, Erin
dc.contributor.authorCirlan, Iulia
dc.contributor.authorKhuu, Nicholas
dc.contributor.authorFischer, Sandra
dc.contributor.authorRozenblatt-Rosen, Orit
dc.contributor.authorRegev, Aviv
dc.contributor.authorMcGilvray, Ian D
dc.contributor.authorBader, Gary D
dc.contributor.authorMacParland, Sonya A
dc.date.accessioned2023-01-13T15:22:49Z
dc.date.available2023-01-13T15:22:49Z
dc.date.issued2022
dc.identifier.urihttps://hdl.handle.net/1721.1/147098
dc.description.abstractThe critical functions of the human liver are coordinated through the interactions of hepatic parenchymal and non-parenchymal cells. Recent advances in single-cell transcriptional approaches have enabled an examination of the human liver with unprecedented resolution. However, dissociation-related cell perturbation can limit the ability to fully capture the human liver's parenchymal cell fraction, which limits the ability to comprehensively profile this organ. Here, we report the transcriptional landscape of 73,295 cells from the human liver using matched single-cell RNA sequencing (scRNA-seq) and single-nucleus RNA sequencing (snRNA-seq). The addition of snRNA-seq enabled the characterization of interzonal hepatocytes at a single-cell resolution, revealed the presence of rare subtypes of liver mesenchymal cells, and facilitated the detection of cholangiocyte progenitors that had only been observed during in vitro differentiation experiments. However, T and B lymphocytes and natural killer cells were only distinguishable using scRNA-seq, highlighting the importance of applying both technologies to obtain a complete map of tissue-resident cell types. We validated the distinct spatial distribution of the hepatocyte, cholangiocyte, and mesenchymal cell populations by an independent spatial transcriptomics data set and immunohistochemistry. Conclusion: Our study provides a systematic comparison of the transcriptomes captured by scRNA-seq and snRNA-seq and delivers a high-resolution map of the parenchymal cell populations in the healthy human liver.en_US
dc.language.isoen
dc.publisherWileyen_US
dc.relation.isversionof10.1002/HEP4.1854en_US
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivs Licenseen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.sourceWileyen_US
dc.titleSingle‐Cell, Single‐Nucleus, and Spatial RNA Sequencing of the Human Liver Identifies Cholangiocyte and Mesenchymal Heterogeneityen_US
dc.typeArticleen_US
dc.identifier.citationAndrews, Tallulah S, Atif, Jawairia, Liu, Jeff C, Perciani, Catia T, Ma, Xue-Zhong et al. 2022. "Single‐Cell, Single‐Nucleus, and Spatial RNA Sequencing of the Human Liver Identifies Cholangiocyte and Mesenchymal Heterogeneity." Hepatology Communications, 6 (4).
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biologyen_US
dc.relation.journalHepatology Communicationsen_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.updated2023-01-13T15:16:13Z
dspace.orderedauthorsAndrews, TS; Atif, J; Liu, JC; Perciani, CT; Ma, X-Z; Thoeni, C; Slyper, M; Eraslan, G; Segerstolpe, A; Manuel, J; Chung, S; Winter, E; Cirlan, I; Khuu, N; Fischer, S; Rozenblatt-Rosen, O; Regev, A; McGilvray, ID; Bader, GD; MacParland, SAen_US
dspace.date.submission2023-01-13T15:16:17Z
mit.journal.volume6en_US
mit.journal.issue4en_US
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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