About: Defining cell populations with single-cell gene expression profiling: correlations and identification of astrocyte subpopulations

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Defining cell populations with single-cell gene expression profiling: correlations and identification of astrocyte subpopulations Goto Sponge NotDistinct Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	Single-cell gene expression levels show substantial variations among cells in seemingly homogenous populations. Astrocytes perform many control and regulatory functions in the central nervous system. In contrast to neurons, we have limited knowledge about functional diversity of astrocytes and its molecular basis. To study astrocyte heterogeneity and stem/progenitor cell properties of astrocytes, we used single-cell gene expression profiling in primary mouse astrocytes and dissociated mouse neurosphere cells. The transcript number variability for astrocytes showed lognormal features and revealed that cells in primary cultures to a large extent co-express markers of astrocytes and neural stem/progenitor cells. We show how subpopulations of cells can be identified at single-cell level using unsupervised algorithms and that gene correlations can be used to identify differences in activity of important transcriptional pathways. We identified two subpopulations of astrocytes with distinct gene expression profiles. One had an expression profile very similar to that of neurosphere cells, whereas the other showed characteristics of activated astrocytes in vivo. Single-cell gene expression levels show substantial variations among cells in seemingly homogenous populations. Astrocytes perform many control and regulatory functions in the central nervous system. In contrast to neurons, we have limited knowledge about functional diversity of astrocytes and its molecular basis. To study astrocyte heterogeneity and stem/progenitor cell properties of astrocytes, we used single-cell gene expression profiling in primary mouse astrocytes and dissociated mouse neurosphere cells. The transcript number variability for astrocytes showed lognormal features and revealed that cells in primary cultures to a large extent co-express markers of astrocytes and neural stem/progenitor cells. We show how subpopulations of cells can be identified at single-cell level using unsupervised algorithms and that gene correlations can be used to identify differences in activity of important transcriptional pathways. We identified two subpopulations of astrocytes with distinct gene expression profiles. One had an expression profile very similar to that of neurosphere cells, whereas the other showed characteristics of activated astrocytes in vivo. (en)
Title	Defining cell populations with single-cell gene expression profiling: correlations and identification of astrocyte subpopulations Defining cell populations with single-cell gene expression profiling: correlations and identification of astrocyte subpopulations (en)
skos:prefLabel	Defining cell populations with single-cell gene expression profiling: correlations and identification of astrocyte subpopulations Defining cell populations with single-cell gene expression profiling: correlations and identification of astrocyte subpopulations (en)
skos:notation	RIV/86652036:_____/11:00391559!RIV14-GA0-86652036
http://linked.open...avai/riv/aktivita	P Z
http://linked.open...avai/riv/aktivity	P(GAP303/10/1338), P(IAA500970904), Z(AV0Z50520701)
http://linked.open...iv/cisloPeriodika	4
http://linked.open...vai/riv/dodaniDat	2014
http://linked.open...aciTvurceVysledku	Kubista, Mikael
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Biotechnologický ústav AV ČR, v. v. i.
http://linked.open...dnocenehoVysledku	193110
http://linked.open...ai/riv/idVysledku	RIV/86652036:_____/11:00391559
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	EMBRYONIC STEM-CELLS; REAL-TIME PCR; MESSENGER-RNA (en)
http://linked.open.../riv/klicoveSlovo	EMBRYONIC STEM-CELLS MESSENGER-RNA REAL-TIME PCR
http://linked.open...odStatuVydavatele	GB - Spojené království Velké Británie a Severního Irska
http://linked.open...ontrolniKodProRIV	[54335884A82C]
http://linked.open...i/riv/nazevZdroje	Nucleic Acids Research
http://linked.open...in/vavai/riv/obor	EB
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...cetTvurcuVysledku	7 (xsd:int)
http://linked.open...vavai/riv/projekt	Cell volume regulation in glial cells during brain ischemia/reperfusion MicroRNA expression during early development of Xenopus laevis and mRNA degradation
http://linked.open...UplatneniVysledku	2011
http://linked.open...v/svazekPeriodika	39
http://linked.open...iv/tvurceVysledku	Kubista, Mikael Andersson, D. Aurelius, J. Faiz, M. Pekna, M. Pekný, M. Stahlberg, A.
http://linked.open...ain/vavai/riv/wos	000288019400006
http://linked.open...n/vavai/riv/zamer	Establishing of the Biotechnology Institute ASCR
issn	0305-1048
number of pages	7 (xsd:int)
http://bibframe.org/vocab/doi	10.1093/nar/gkq1182

Faceted Search & Find service v1.16.118 as of Jun 21 2024

Alternative Linked Data Documents: ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 48 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software