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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| Format: | Article |
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Landes Bioscience
2013
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| Online Access: | https://eprints.nottingham.ac.uk/2864/ |
| _version_ | 1848790895105671168 |
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| author | Lewis, Rebecca May, Hannah Mobasheri, Ali Barrett-Jolley, Richard |
| author_facet | Lewis, Rebecca May, Hannah Mobasheri, Ali Barrett-Jolley, Richard |
| author_sort | Lewis, Rebecca |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T18:19:53Z |
| format | Article |
| id | nottingham-2864 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T18:19:53Z |
| publishDate | 2013 |
| publisher | Landes Bioscience |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-28642020-05-04T20:18:36Z https://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 Lewis, Rebecca, May, Hannah, 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 |
| spellingShingle | Lewis, Rebecca May, Hannah Mobasheri, Ali Barrett-Jolley, Richard Chondrocyte channel transcriptomics: do microarray data fit with expression and functional data? |
| title | 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_short | 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? |
| url | https://eprints.nottingham.ac.uk/2864/ https://eprints.nottingham.ac.uk/2864/ https://eprints.nottingham.ac.uk/2864/ |