HCA Data Explorer

A Human Liver Cell Atlas reveals Heterogeneity and Epithelial Progenitors

Access Granted
Updated July 22, 2022

We perfomed single-cell RNA-sequnecing of around 10,000 cells from normal human liver tissue to construct a human liver cell atlas. We reveal previously unknown subtypes in different cell type compartments. Overall design: Single cells were isolated from human liver resection specimens and then sorted by FACS into 384 well plates in a unbiased way and on the basis of cell surface markers for distinct cell types. ScRNA-seq was done using the mCelSeq2 protocol.

Thomas F BaumertInstitut National de la Santé et de la Recherche Médicalethomas.baumert@unistra.fr
Dominic GrünMax-Planck-Institute of Immunobiology and Epigeneticsgruen@ie-freiburg.mpg.de
Nadim Aizarani1
Antonio Saviano2
Sagar1
Laurent Mailly2
Sarah Durand2
Josip S Herman1
Patrick Pessaux2
Thomas F Baumert2
Dominic Grün1
1Max-Planck-Institute of Immunobiology and Epigenetics
2Institut National de la Santé et de la Recherche Médicale
Ami Day

To reference this project, please use the following link:

https://explore.data.humancellatlas.org/projects/94e4ee09-9b4b-410a-84dc-a751ad36d0df

Supplementary links are provided by contributors and represent items such as additional data which can’t be hosted here; code that was used to analyze this data; or tools and visualizations associated with this specific dataset.

1.http://human-liver-cell-atlas.ie-freiburg.mpg.de/
INSDC Project Accessions:GEO Series Accessions:INSDC Study Accessions:

Atlas

None

Analysis Portals

None

Project Label

LiverCellAtlasHeterogeneity

Species

Homo sapiens

Sample Type

2 sample types

Anatomical Entity

liver

Organ Part

Unspecified

Selected Cell Types

Unspecified

Model Organ

liver

Disease Status (Specimen)

2 disease statuses

Disease Status (Donor)

3 disease statuses

Development Stage

human adult stage

Library Construction Method

CEL-seq2

Nucleic Acid Source

single cell

Paired End

false

Analysis Protocol

analysis_protocol_normalization, analysis_protocol_quantification

File Format

4 file formats

Cell Count Estimate

10.0k

Donor Count

23
fastq.gz598 file(s)RData.gz1 file(s)tar1 file(s)txt.gz2 file(s)