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Series GSE115469 Query DataSets for GSE115469
Status Public on Oct 22, 2018
Title Dissecting the human liver cellular landscape by single cell RNA-seq reveals novel intrahepatic monocyte/ macrophage populations
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary The liver is the largest solid organ in the body and is critical for metabolic and immune functions. However, surprisingly little is known about the cells that make up the human liver and its immune microenvironment. To address this, we mapped the cellular landscape in 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, including a novel 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 new characteristics of resident cells in the liver, and in particular provides a new map of the human hepatic immune microenvironment.
 
Overall design Primary liver samples from 5 patients were used for single cell RNA sequencing by 10X Genomics
 
Contributor(s) MacParland SA, Liu JC, Bader GD, McGilvray ID
Citation(s) 30348985
Submission date Jun 07, 2018
Last update date Mar 27, 2019
Contact name Jeff Liu
E-mail(s) jeff.liu@utoronto.ca
Phone 416-340-4800
Organization name University Health Network
Department Cellular and Molecular Biology
Street address 67 College Street, RM427
City Toronto
State/province Ontario
ZIP/Postal code M5G 2M1
Country Canada
 
Platforms (1)
GPL16791 Illumina HiSeq 2500 (Homo sapiens)
Samples (5)
GSM3178782 Patient 1 Total Liver Homogenate
GSM3178783 Patient 2 Total Liver Homogenate
GSM3178784 Patient 3 Total Liver Homogenate
Relations
BioProject PRJNA475114
SRA SRP149989

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Supplementary file Size Download File type/resource
GSE115469_Data.csv.gz 103.1 Mb (ftp)(http) CSV
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Raw data are available in SRA
Processed data are available on Series record

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