HumanLiver/DESCRIPTION at master · BaderLab/HumanLiver · GitHub

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Package: HumanLiver
Type: Package
Title: Single cell RNA sequencing of human liver reveals distinct intrahepatic macrophage populations
Version: 1.5.1
Date: 2020-05-12
Author: Sonya A. MacParland,
    Jeff C. Liu,
    Xue-Zhong Ma,
    Brendan T. Innes,
    Agata M. Bartczak,
    Blair K. Gage,
    Justin Manuel,
    Nicholas Khuu,
    Juan Echeverri,
    Ivan Linares,
    Rahul Gupta,
    Michael L. Cheng,
    Lewis Y. Liu,
    Damra Camat,
    Sai W. Chung,
    Rebecca K. Seliga,
    Zigong Shao,
    Elizabeth Lee,
    Shinichiro Ogawa,
    Mina Ogawa,
    Michael D. Wilson,
    Jason E. Fish,
    Markus Selzner,
    Anand Ghanekar,
    David Grant,
    Paul Greig,
    Gonzalo Sapisochin,
    Nazia Selzner,
    Neil Winegarden,
    Oyedele Adeyi,
    Gordon Keller,
    Gary D. Bader,
    Ian D. McGilvray
Maintainer: Brendan T. Innes <brendan.innes@mail.utoronto.ca>
Description: Data package for the 2018 Nature Communications paper sharing its
    title (doi:10.1038/s41467-018-06318-7). Please cite this paper when using the data.
    The data consists of processed files ready for visualization
    in scClustViz (https://baderlab.github.io/scClustViz), specifically a Seurat
    object and sCVdata object.
Abstract: The liver is the largest solid organ in the body and is critical for
    metabolic and immune functions. Surprisingly little is known about the cells
    that make up the human liver and its immune microenvironment. Here we report
    a map of the cellular landscape of the human liver using single cell RNA
    sequencing. We carefully fractionated fragile, fresh hepatic tissue from
    human livers to obtain viable parenchymal and non-parenchymal cells. Our
    single cell transcriptomics map reveals 20 discrete cell populations, and
    includes a description of distinct monocyte/macrophage populations in the
    human liver. We present a comprehensive view of the human liver at single
    cell resolution that outlines the characteristics of resident cells in the
    liver, and in particular provides a map of the human hepatic immune
    microenvironment.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Suggests: org.Hs.eg.db
Imports: scClustViz (>= 1.3.3),
    Matrix (>= 1.2-15)
Depends: Seurat (>= 3.0.0)
Remotes: BaderLab/scClustViz
RoxygenNote: 7.1.0