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dc.contributor.author
Massalha, Hassan
dc.contributor.author
Halpern, Keren B.
dc.contributor.author
Abu-Gazala, Samir
dc.contributor.author
Jana, Tamar
dc.contributor.author
Massasa, Efi E.
dc.contributor.author
Moor, Andreas E.
dc.contributor.author
Buchauer, Lisa
dc.contributor.author
Rozenberg, Milena
dc.contributor.author
Pikarsky, Eli
dc.contributor.author
Amit, Ido
dc.contributor.author
Zamir, Gideon
dc.contributor.author
Itzkovitz, Shalev
dc.date.accessioned
2021-01-27T16:25:25Z
dc.date.available
2021-01-03T03:36:47Z
dc.date.available
2021-01-12T11:49:07Z
dc.date.available
2021-01-27T16:25:25Z
dc.date.issued
2020-12-01
dc.identifier.issn
1744-4292
dc.identifier.other
10.15252/msb.20209682
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/458852
dc.identifier.doi
10.3929/ethz-b-000458852
dc.description.abstract
Malignant cell growth is fueled by interactions between tumor cells and the stromal cells composing the tumor microenvironment. The human liver is a major site of tumors and metastases, but molecular identities and intercellular interactions of different cell types have not been resolved in these pathologies. Here, we apply single cell RNA‐sequencing and spatial analysis of malignant and adjacent non‐malignant liver tissues from five patients with cholangiocarcinoma or liver metastases. We find that stromal cells exhibit recurring, patient‐independent expression programs, and reconstruct a ligand–receptor map that highlights recurring tumor–stroma interactions. By combining transcriptomics of laser‐capture microdissected regions, we reconstruct a zonation atlas of hepatocytes in the non‐malignant sites and characterize the spatial distribution of each cell type across the tumor microenvironment. Our analysis provides a resource for understanding human liver malignancies and may expose potential points of interventions.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
EMBO Press
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.subject
human cell atlas
en_US
dc.subject
liver cancer
en_US
dc.subject
single cell RNAseq
en_US
dc.subject
spatial transcriptomics
en_US
dc.subject
tumor-stroma interactions
en_US
dc.title
A single cell atlas of the human liver tumor microenvironment
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 4.0 International
dc.date.published
2020-12-17
ethz.journal.title
Molecular Systems Biology
ethz.journal.volume
16
en_US
ethz.journal.issue
12
en_US
ethz.journal.abbreviated
Mol Syst Biol
ethz.pages.start
e9682
en_US
ethz.size
18 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
Heidelberg
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02060 - Dep. Biosysteme / Dep. of Biosystems Science and Eng.::09711 - Moor, Andreas / Moor, Andreas
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02060 - Dep. Biosysteme / Dep. of Biosystems Science and Eng.::09711 - Moor, Andreas / Moor, Andreas
ethz.date.deposited
2021-01-03T03:36:55Z
ethz.source
SCOPUS
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2021-01-12T11:49:16Z
ethz.rosetta.lastUpdated
2022-03-29T04:59:25Z
ethz.rosetta.versionExported
true
ethz.COinS
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