About: The workflow of single-cell expression profiling using quantitative real-time PCR

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

About: The workflow of single-cell expression profiling using quantitative real-time PCR 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	Biological material is heterogeneous and when exposed to stimuli the various cells present respond differently. Much of the complexity can be eliminated by disintegrating the sample, studying the cells one by one. Single-cell profiling reveals responses that go unnoticed when classical samples are studied. New cell types and cell subtypes may be found and relevant pathways and expression networks can be identified. The most powerful technique for single-cell expression profiling is currently quantitative reverse transcription real-time PCR (RT-qPCR). A robust RT-qPCR workflow for highly sensitive and specific measurements in high-throughput and a reasonable degree of multiplexing has been developed for targeting mRNAs, but also microRNAs, non-coding RNAs and most recently also proteins. We review the current state of the art of single-cell expression profiling and present also the improvements and developments expected in the next 5 years. Biological material is heterogeneous and when exposed to stimuli the various cells present respond differently. Much of the complexity can be eliminated by disintegrating the sample, studying the cells one by one. Single-cell profiling reveals responses that go unnoticed when classical samples are studied. New cell types and cell subtypes may be found and relevant pathways and expression networks can be identified. The most powerful technique for single-cell expression profiling is currently quantitative reverse transcription real-time PCR (RT-qPCR). A robust RT-qPCR workflow for highly sensitive and specific measurements in high-throughput and a reasonable degree of multiplexing has been developed for targeting mRNAs, but also microRNAs, non-coding RNAs and most recently also proteins. We review the current state of the art of single-cell expression profiling and present also the improvements and developments expected in the next 5 years. (en)
Title	The workflow of single-cell expression profiling using quantitative real-time PCR The workflow of single-cell expression profiling using quantitative real-time PCR (en)
skos:prefLabel	The workflow of single-cell expression profiling using quantitative real-time PCR The workflow of single-cell expression profiling using quantitative real-time PCR (en)
skos:notation	RIV/86652036:_____/14:00432501!RIV15-GA0-86652036
http://linked.open...avai/riv/aktivita	I P
http://linked.open...avai/riv/aktivity	I, P(ED1.1.00/02.0109), P(GA13-02154S)
http://linked.open...iv/cisloPeriodika	3
http://linked.open...vai/riv/dodaniDat	2015
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	56311
http://linked.open...ai/riv/idVysledku	RIV/86652036:_____/14:00432501
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	single-cell workflow; gene expression profiling; RT-qPCR (en)
http://linked.open.../riv/klicoveSlovo	RT-qPCR gene expression profiling single-cell workflow
http://linked.open...odStatuVydavatele	GB - Spojené království Velké Británie a Severního Irska
http://linked.open...ontrolniKodProRIV	[2C31C2A537CC]
http://linked.open...i/riv/nazevZdroje	Expert Review of Molecular Diagnostics
http://linked.open...in/vavai/riv/obor	EB
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...vavai/riv/projekt	Biotechnology and Biomedicine Centre of the Academy of Sciences and Charles University Profilování genové exprese a funkční charakterizace subpopulací gliových buněk po ischemickém poškození mozku
http://linked.open...UplatneniVysledku	2014
http://linked.open...v/svazekPeriodika	14
http://linked.open...iv/tvurceVysledku	Kubista, Mikael Stahlberg, A.
http://linked.open...ain/vavai/riv/wos	000335345600010
issn	1473-7159
number of pages	9 (xsd:int)
http://bibframe.org/vocab/doi	10.1586/14737159.2014.901154

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, 117 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software