Figure 3
The cellular heterogeneity of liver tissue can be deciphered as single cells (top) or whole tissue (bottom). (Top) Single-cell technologies transcriptomically categorize the sample at a single-cell level (scRNA-seq) and can be further enhanced by sorting nuclei instead of cells (snRNA-seq) or adding oligonucleotide-labeled antibodies to target surface antigens (CITE-seq). (Bottom) In spatial transcriptomics, freshly frozen tissue is attached to a chip, whose barcodes contain location information on a grid. Thus, mRNA transcripts released from the tissue after permeabilization can be traced back to its grid location, and therefore, the approximate location of the tissue. Abbreviation: CITE-seq, cellular indexing of transcriptomes and epitopes by sequencing.
Novel technologies in the characterization of the cellular composition of the liver

The cellular heterogeneity of liver tissue can be deciphered as single cells (top) or whole tissue (bottom). (Top) Single-cell technologies transcriptomically categorize the sample at a single-cell level (scRNA-seq) and can be further enhanced by sorting nuclei instead of cells (snRNA-seq) or adding oligonucleotide-labeled antibodies to target surface antigens (CITE-seq). (Bottom) In spatial transcriptomics, freshly frozen tissue is attached to a chip, whose barcodes contain location information on a grid. Thus, mRNA transcripts released from the tissue after permeabilization can be traced back to its grid location, and therefore, the approximate location of the tissue. Abbreviation: CITE-seq, cellular indexing of transcriptomes and epitopes by sequencing.

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