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A Multi-Omics Approach to Liver Diseases: Integration of Single Nuclei Transcriptomics with Proteomics and HiCap Bulk Data in Human Liver.


ABSTRACT: The liver is the largest solid organ and a primary metabolic hub. In recent years, intact cell nuclei were used to perform single-nuclei RNA-seq (snRNA-seq) for tissues difficult to dissociate and for flash-frozen archived tissue samples to discover unknown and rare cell subpopulations. In this study, we performed snRNA-seq of a liver sample to identify subpopulations of cells based on nuclear transcriptomics. In 4282 single nuclei, we detected, on average, 1377 active genes and we identified seven major cell types. We integrated data from 94,286 distal interactions (p?

SUBMITTER: Cavalli M 

PROVIDER: S-EPMC7185313 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature

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A Multi-Omics Approach to Liver Diseases: Integration of Single Nuclei Transcriptomics with Proteomics and HiCap Bulk Data in Human Liver.

Cavalli Marco M   Diamanti Klev K   Pan Gang G   Spalinskas Rapolas R   Kumar Chanchal C   Deshmukh Atul Shahaji AS   Mann Matthias M   Sahlén Pelin P   Komorowski Jan J   Wadelius Claes C  

Omics : a journal of integrative biology 20200316 4


The liver is the largest solid organ and a primary metabolic hub. In recent years, intact cell nuclei were used to perform single-nuclei RNA-seq (snRNA-seq) for tissues difficult to dissociate and for flash-frozen archived tissue samples to discover unknown and rare cell subpopulations. In this study, we performed snRNA-seq of a liver sample to identify subpopulations of cells based on nuclear transcriptomics. In 4282 single nuclei, we detected, on average, 1377 active genes and we identified se  ...[more]

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