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pmid: 34857782
pmc: PMC8640072
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.
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
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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