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

Lewis, Rebecca; May, Hannah; Mobasheri, Ali; Barrett-Jolley, Richard

Abstract

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.

Citation

Lewis, R., May, H., Mobasheri, A., & Barrett-Jolley, R. (2013). Chondrocyte channel transcriptomics: do microarray data fit with expression and functional data?. Channels, 7(6), https://doi.org/10.4161/chan.26071

• Journal Article Type: Article
• Publication Date: Nov 1, 2013
• Deposit Date: Apr 4, 2014
• Publicly Available Date: Apr 4, 2014
• Journal: Channels
• Print ISSN: 1933-6950
• Electronic ISSN: 1933-6969
• Publisher: Taylor and Francis
• Peer Reviewed: Peer Reviewed
• Volume: 7
• Issue: 6
• DOI: https://doi.org/10.4161/chan.26071
• Public URL: https://nottingham-repository.worktribe.com/output/1000920
• Publisher URL: https://www.landesbioscience.com/journals/channels/article/26071/?nocache=1249964648