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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Landes Bioscience
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4042480/ https://www.ncbi.nlm.nih.gov/pubmed/23995703 http://dx.doi.org/10.4161/chan.26071 |
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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 |
collection | PubMed |
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 large calcium-activated potassium (BK) and aquaporin channels. |
format | Online Article Text |
id | pubmed-4042480 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Landes Bioscience |
record_format | MEDLINE/PubMed |
spelling | pubmed-40424802014-06-04 Chondrocyte channel transcriptomics: Do microarray data fit with expression and functional data? Lewis, Rebecca May, Hannah Mobasheri, Ali Barrett-Jolley, Richard Channels (Austin) Perspective 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 large calcium-activated potassium (BK) and aquaporin channels. Landes Bioscience 2013-11-01 2013-08-30 /pmc/articles/PMC4042480/ /pubmed/23995703 http://dx.doi.org/10.4161/chan.26071 Text en Copyright © 2013 Landes Bioscience http://creativecommons.org/licenses/by-nc/3.0/ This is an open-access article licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License. The article may be redistributed, reproduced, and reused for non-commercial purposes, provided the original source is properly cited. |
spellingShingle | Perspective 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? |
topic | Perspective |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4042480/ https://www.ncbi.nlm.nih.gov/pubmed/23995703 http://dx.doi.org/10.4161/chan.26071 |
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