Chondrocyte channel transcriptomics: do microarray data fit with expression and functional data?

To date, a range of ion channels have been identified in chondrocytes using a number of different techniques, predominantly electrophysiological and/or biomolecular; each of these has its advantages and disadvantages. Here we aim to compare and contrast the data available from biophysical and microa...

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Main Authors:	Lewis, Rebecca, May, Hannah, Mobasheri, Ali, Barrett-Jolley, Richard
Format:	Article
Language:	English
Published:	Landes Bioscience 2013
Online Access:	http://eprints.nottingham.ac.uk/2864/ http://eprints.nottingham.ac.uk/2864/ http://eprints.nottingham.ac.uk/2864/ http://eprints.nottingham.ac.uk/2864/1/2013CHANNELS0041R.pdf

id	nottingham-2864
recordtype	eprints
spelling	nottingham-28642017-10-15T07:09:10Z http://eprints.nottingham.ac.uk/2864/ Chondrocyte channel transcriptomics: do microarray data fit with expression and functional data? Lewis, Rebecca May, Hannah Mobasheri, Ali Barrett-Jolley, Richard To date, a range of ion channels have been identified in chondrocytes using a number of different techniques, predominantly electrophysiological and/or biomolecular; each of these has its advantages and disadvantages. Here we aim to compare and contrast the data available from biophysical and microarray experiments. This letter analyses recent transcriptomics datasets from chondrocytes, accessible from the European Bioinformatics Institute (EBI). We discuss whether such bioinformatic analysis of microarray datasets can potentially accelerate identification and discovery of ion channels in chondrocytes. The ion channels which appear most frequently across these microarray datasets are discussed, along with their possible functions. We discuss whether functional or protein data exist which support the microarray data. A microarray experiment comparing gene expression in osteoarthritis and healthy cartilage is also discussed and we verify the differential expression of 2 of these genes, namely the genes encoding the BK and aquaporin channels. Landes Bioscience 2013-11 Article PeerReviewed application/pdf en cc_by_nc http://eprints.nottingham.ac.uk/2864/1/2013CHANNELS0041R.pdf Lewis, Rebecca and May, Hannah and Mobasheri, Ali and Barrett-Jolley, Richard (2013) Chondrocyte channel transcriptomics: do microarray data fit with expression and functional data? Channels, 7 (6). pp. 459-467. ISSN 1933-6950 https://www.landesbioscience.com/journals/channels/article/26071/?nocache=1249964648 doi:10.4161/chan.26071 doi:10.4161/chan.26071
repository_type	Digital Repository
institution_category	Local University
institution	University of Nottingham Malaysia Campus
building	Nottingham Research Data Repository
collection	Online Access
language	English
description	To date, a range of ion channels have been identified in chondrocytes using a number of different techniques, predominantly electrophysiological and/or biomolecular; each of these has its advantages and disadvantages. Here we aim to compare and contrast the data available from biophysical and microarray experiments. This letter analyses recent transcriptomics datasets from chondrocytes, accessible from the European Bioinformatics Institute (EBI). We discuss whether such bioinformatic analysis of microarray datasets can potentially accelerate identification and discovery of ion channels in chondrocytes. The ion channels which appear most frequently across these microarray datasets are discussed, along with their possible functions. We discuss whether functional or protein data exist which support the microarray data. A microarray experiment comparing gene expression in osteoarthritis and healthy cartilage is also discussed and we verify the differential expression of 2 of these genes, namely the genes encoding the BK and aquaporin channels.
format	Article
author	Lewis, Rebecca May, Hannah Mobasheri, Ali Barrett-Jolley, Richard
spellingShingle	Lewis, Rebecca May, Hannah Mobasheri, Ali Barrett-Jolley, Richard Chondrocyte channel transcriptomics: do microarray data fit with expression and functional data?
author_facet	Lewis, Rebecca May, Hannah Mobasheri, Ali Barrett-Jolley, Richard
author_sort	Lewis, Rebecca
title	Chondrocyte channel transcriptomics: do microarray data fit with expression and functional data?
title_short	Chondrocyte channel transcriptomics: do microarray data fit with expression and functional data?
title_full	Chondrocyte channel transcriptomics: do microarray data fit with expression and functional data?
title_fullStr	Chondrocyte channel transcriptomics: do microarray data fit with expression and functional data?
title_full_unstemmed	Chondrocyte channel transcriptomics: do microarray data fit with expression and functional data?
title_sort	chondrocyte channel transcriptomics: do microarray data fit with expression and functional data?
publisher	Landes Bioscience
publishDate	2013
url	http://eprints.nottingham.ac.uk/2864/ http://eprints.nottingham.ac.uk/2864/ http://eprints.nottingham.ac.uk/2864/ http://eprints.nottingham.ac.uk/2864/1/2013CHANNELS0041R.pdf
first_indexed	2018-09-06T10:26:32Z
last_indexed	2018-09-06T10:26:32Z
_version_	1610853480942010368

Chondrocyte channel transcriptomics: do microarray data fit with expression and functional data?

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