Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Characterization of CD63+ adult liver stem cells and downstream lineages

ABSTRACT: Understanding the liver stem cells (LSCs) holds great promise for new insights into liver diseases and liver regeneration. By employing single-cell RNA-seq technology, we examined transcriptome features of distinct Krt19 lineage-tracing cell types isolated from Krt19CreERT; Rosa26R-GFP reporter mouse livers, and identified adult LSCs, as well as their downstream hepatocytes and cholangiocytes. Importantly, we discovered a novel cell surface LSCs marker, CD63, as well as CD56, which distinguished active and quiescent LSCs. Furthermore, we confirmed that CD63+CD56- quiescent LSCs could be activated by a combined action of VEGF and bFGF, and subsequently underwent terminal differentiation. These findings define an authentic adult liver stem cells compartment and highlight its contribution to liver homeostasis during pathophysiologic processes.

ORGANISM(S): Mus musculus

PROVIDER: GSE214451 | GEO | 2025/09/01

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Characterization of quiescent adult liver stem cells and downstream lineages [Agilent Array]

Project description:Understanding the liver stem cells (LSCs) holds great promise for new insights into liver diseases and liver regeneration. By employing single-cell RNA-seq technology with weighted gene co-expression network analyses (WGCNA), we examined transcriptome features of distinct Krt19 lineage-tracing cell types isolated from Krt19CreERT; Rosa26R-GFP reporter mice, and identified gene expression signatures of quiescent and active adult LSCs, as well as their downstream lineage-restricted progenitors and terminally differentiation hepatocytes and cholangiocytes. Importantly, we discovered a novel cell surface LSC marker, CD63, as well as CD56, which distinguished active and quiescent LSCs. Furthermore, we confirmed that CD63+CD56- quiescent LSCs resided in Canals of Hering and peribiliary glands and that these cells could be activated by a combined action of VEGF and bFGF, and subsequently underwent terminal differentiation. These findings define an authentic adult liver stem cells compartment and highlight its contribution to liver homeostasis during pathophysiologic processes.

2018-10-29 | GSE64313 | GEO

Characterization of quiescent adult liver stem cells and downstream lineages [RNA-seq]

2018-10-29 | GSE64292 | GEO

Tetraspanin CD63 acts as a pro-metastatic factor via β-catenin stabilization

Project description:The tetraspanin CD63 is implicated in pro-metastatic signaling pathways, but so far, it is unclear how CD63 levels affect the tumor cell phenotype. Here, we investigated the effect of CD63 modulation in different metastatic tumor cell lines. In vitro, knock down of CD63 induced a more epithelial-like phenotype concomitant with increased E-cadherin expression, downregulation of its repressors Slug and Zeb1, and decreased N-cadherin. In addition, β-catenin protein was markedly reduced, negatively affecting expression of the target genes MMP-2 and PAI-1. β-catenin inhibitors mimicked the epithelial phenotype induced by CD63 knock down. Inhibition of β-catenin upstream regulators PI3K/AKT or GSK3β could rescue the mesenchymal phenotype underlining the importance of the β-catenin pathway in CD63-regulated cell plasticity. CD63 knock down-induced phenotypical changes correlated with a decrease of experimental metastasis, while CD63 overexpression enhanced the tumor cell-intrinsic metastatic potential. Taken together, our data show that CD63 is a crucial player in the regulation of the tumor cell-intrinsic metastatic potential by affecting cell plasticity. Stable knock down of CD63 was performed in SKOV3ipL ovarian carcinoma cell line using 2 shRNAs lentiviral constructs (sh49 and sh51), and as a negative control, a shNT construct. Parental cells, control shNT and the 2 shCD63 cell lines were seeded 24 hours prior to RNA isolation on a 10 cm dish, labelling and hybridization on microarrays. One color experiment with 2 biological replicates of the 4 experimental conditions: SKOV3ipL, SKOV3ipL_shNT, SKOV3ipL_sh49 and SKOV3ipL_sh51.

2015-01-23 | E-GEOD-61957 | biostudies-arrayexpress

Tetraspanin CD63 acts as a pro-metastatic factor via β-catenin stabilization

2015-01-23 | GSE61957 | GEO

Characterization of CD63+ adult liver stem cells and downstream lineages

Project description:Characterization of CD63+ adult liver stem cells and downstream lineages

| PRJNA885442 | ENA

Gene expression changes upon CD63 knockdown in esophageal squamous cell carcinoma cell lines

Project description:The purpose of this analysis is to analyze the changes in gene expression that occur in cancer cells when CD63 is knocked down in esophageal squamous cell carcinoma (ESCC) cell lines. We performed a comprehensive analysis of mRNA in CD63 knockdown human ESCC cell lines (TE2, TE15) using microarrays.

2024-11-05 | GSE280961 | GEO

HEK293 CD63 CRISPR cell-derived small EVs

Project description:The tetraspanin protein CD63 has been recently described as a key factor in extracellular vesicle (EV) production and endosomal cargo sorting. In this study, we assemble a global scope of CD63-dependent protein trafficking into small secreted vesicles.

2018-10-24 | PXD006514 | Pride

Jurkat cell exosomes bound by CD47, CD63 and MHC1 harbor different RNA content

Project description:Extracellular vesicles (EVs) mediate cell-cell communication including the intercellular transfer of RNAs, which alter gene expression in target cells. However, heterogeneity in the size, density, and composition of EVs has limited progress towards defining their physiological functions and utility as disease-specific biomarkers. CD63 and MHC-1 are widely used as markers to purify EVs. CD47 is also present on EVs and alters their effects on target cells, suggesting that specific surface markers define functionally distinct EVs. This hypothesis was addressed by comparing the properties of Jurkat T cell EVs captured using CD47, CD63, and MHC-1 antibodies. These EV subsets have similar sizes but divergent RNA contents.

2018-03-13 | GSE103493 | GEO

Jurkat cell exosomes bound by either CD47 or CD63 harbor different RNA content

Project description:xtracellular vesicles (EVs) mediate cell-cell communication including the intercellular transfer of RNAs, which alter gene expression in target cells. However, heterogeneity in the size, density, and composition of EVs has limited progress towards defining their physiological functions and utility as disease-specific biomarkers. CD63 and MHC-1 are widely used as markers to purify EVs. CD47 is also present on EVs and alters their effects on target cells, suggesting that specific surface markers define functionally distinct EVs. This hypothesis was addressed by comparing the properties of Jurkat T cell EVs captured using CD47, CD63, and MHC-1 antibodies. These EV subsets have similar sizes but divergent RNA contents.

2018-08-03 | GSE103310 | GEO

The Quantitative Analysis of Transcriptomes Derived From Ezh2- or Ezh1/2-Deleted Leukemia Stem Cells of Murine Acute Myloid Leukemia

Project description:We report dual genetic delstion of Ezh1/2 in murine AML model induced cell cyle progression of quiescent LSCs and cell differentiation of LSCs. To investigate the underlying mechanism by which Ezh1/2 regulate quiescent LSCs and maintein the stemness of LSCs, we performed RNA sequencing of L-GMPs derived from Ezh2- and Ezh1/2-deleted AML mice.

2017-03-11 | GSE96061 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data