Sangam: A Confluence of Knowledge Streams

Single-cell transcriptomics uncovers zonation of function in the mesenchyme during liver fibrosis - Seurat objects

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dc.contributor Wellcome Trust
dc.contributor Guts UK
dc.contributor Tenovus Scotland
dc.contributor Wilson-Kanamori, John Roger
dc.creator Dobie, Ross
dc.creator Wilson-Kanamori, John Roger
dc.creator Henderson, Neil
dc.date 2020-02-12T11:12:04Z
dc.date 2020-02-12T11:12:04Z
dc.date.accessioned 2023-02-17T20:53:10Z
dc.date.available 2023-02-17T20:53:10Z
dc.identifier Dobie, Ross; Wilson-Kanamori, John Roger; Henderson, Neil. (2020). Single-cell transcriptomics uncovers zonation of function in the mesenchyme during liver fibrosis - Seurat objects, [dataset]. University of Edinburgh Centre for Inflammation Research. https://doi.org/10.7488/ds/2769.
dc.identifier https://hdl.handle.net/10283/3573
dc.identifier https://doi.org/10.7488/ds/2769
dc.identifier.uri http://localhost:8080/xmlui/handle/CUHPOERS/244087
dc.description We profile the transcriptomes of ~30,000 mouse single cells to deconvolve the hepatic mesenchyme in healthy and fibrotic liver at high resolution. We reveal spatial zonation of hepatic stellate cells across the liver lobule, designated portal vein-associated HSC and central vein-associated HSC, and uncover an equivalent functional zonation in a mouse model of centrilobular fibrosis. Our work illustrates the power of single-cell transcriptomics to resolve key collagen-producing cells driving liver fibrosis with high precision. We provide the contents of these data as Seurat R objects.
dc.description uninjured.rds: Seurat object in RDS format containing the raw, normalised, and scaled expression values for 12533 mouse single cell transcriptomes from healthy liver, corresponding to Figure 1. injured.rds: Seurat object in RDS format containing the raw, normalised, and scaled expression values for 23291 mouse single cell transcriptomes from healthy liver, corresponding to Figure 3. acute.rds: Seurat object in RDS format containing the raw, normalised, and scaled expression values for 7260 mouse single cell transcriptomes from healthy liver, corresponding to Figure 5. ss2.rds: Seurat object in RDS format containing the raw, normalised, and scaled expression values for 905 mouse single cell transcriptomes from healthy liver, corresponding to Figure S3. The Seurat objects contain metadata fields as follows: - various quality control metrics such as nGene, nUMI, percent.mito - enrichment: isolation protocol used, either PF (digestion protocol 1) or HSC (digestion protocol 2) - dataset: dataset of origin, i.e. HSC_Uninjured, PF_CCl4_Peak - condition: condition of liver of origin, i.e. Uninjured, Peak CCl4 - lineage: annotated mesenchymal lineage, either FB, HSC, or VSMC - hsc_zonation: annotated HSC zonation, either Portal or Central - pseudotime_central and pseudotime_portal (acute only): annotated pseudotemporal values
dc.format application/octet-stream
dc.format application/octet-stream
dc.format text/plain
dc.format application/octet-stream
dc.format application/octet-stream
dc.language eng
dc.publisher University of Edinburgh Centre for Inflammation Research
dc.relation https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE137720
dc.relation https://www.sciencedirect.com/science/article/pii/S2211124719313245
dc.rights Creative Commons Attribution 4.0 International Public License
dc.subject Single cell transcriptomics
dc.subject Liver fibrosis
dc.subject Medicine and Dentistry::Clinical Medicine
dc.title Single-cell transcriptomics uncovers zonation of function in the mesenchyme during liver fibrosis - Seurat objects
dc.type dataset
dc.coverage UK
dc.coverage UNITED KINGDOM


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10x_acute.rds 1.014Gb application/octet-stream View/Open
10x_injured.rds 3.293Gb application/octet-stream View/Open
10x_uninjured.rds 1.699Gb application/octet-stream View/Open
readme.txt 1.35Kb text/plain View/Open
ss2.rds 158.4Mb application/octet-stream View/Open

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