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Single nucleus transcriptomics data integration recapitulates the major cell types in human liver

29 Oct 2020

Abstract excerpt

AIM: The aim of this study was to explore the benefits of data integration from different platforms for single nucleus transcriptomics profiling to characterize cell populations in human liver. METHODS: We generated single-nucleus RNA sequencing data from Chromium 10X Genomics and Drop-seq for a human liver sample. We utilized state of the art bioinformatics tools to undertake a rigorous quality control and to...

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PMID: 33119937
DOI: 10.1111/hepr.13585

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