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Spatial Transcriptomics to define transcriptional patterns of zonation and structural components in the mouse liver

Authors: Hildebrandt, Franziska; Andersson, Alma; Saarenpää, Sami; Larsson, Ludvig; Van Hul, Noémi; Kanatani, Sachie; Masek, Jan; +6 Authors

Spatial Transcriptomics to define transcriptional patterns of zonation and structural components in the mouse liver

Abstract

Abstract Reconstruction of heterogeneity through single cell transcriptional profiling has greatly advanced our understanding of the spatial liver transcriptome in recent years. However, global transcriptional differences across lobular units remain elusive in physical space. Here, we apply Spatial Transcriptomics to perform transcriptomic analysis across sectioned liver tissue. We confirm that the heterogeneity in this complex tissue is predominantly determined by lobular zonation. By introducing novel computational approaches, we enable transcriptional gradient measurements between tissue structures, including several lobules in a variety of orientations. Further, our data suggests the presence of previously transcriptionally uncharacterized structures within liver tissue, contributing to the overall spatial heterogeneity of the organ. This study demonstrates how comprehensive spatial transcriptomic technologies can be used to delineate extensive spatial gene expression patterns in the liver, indicating its future impact for studies of liver function, development and regeneration as well as its potential in pre-clinical and clinical pathology.

Country
Sweden
Keywords

Erythroblasts, Kupffer Cells, Neutrophils, Spatial Transcriptomics, Cell- och molekylärbiologi, Science, liver, Article, Genetic Heterogeneity, Mice, zonation, Animals, rna sequencing, B-Lymphocytes, Gene Expression Profiling, Macrophages, Q, Endothelial Cells, Genetics and Genomics, Genetik och genomik, Molecular Sequence Annotation, Dendritic Cells, Mice, Inbred C57BL, Gene Ontology, Liver, Hepatocytes, Female, Transcriptome, Cell and Molecular Biology

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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OpenAIRE UsageCountsDownloads provided by UsageCounts
175
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107
68
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