The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Regional and tissue specific transcript signatures of ion channel genes in the non‐diseased human heart
Open accessAbstract
The various cardiac regions have specific action potential properties appropriate to their electrical specialization, resulting from a specific pattern of ion‐channel functional expression. The present study addressed regionally defined differential ion‐channel expression in the non‐diseased human heart with a genomic approach. High‐throughput real‐time RT‐PCR was used to quantify the expression patterns of 79 ion‐channel subunit transcripts and related genes in atria, ventricular epicardium and endocardium, and Purkinje fibres isolated from 15 non‐diseased human donor hearts. Two‐way non‐directed hierarchical clustering separated atria, Purkinje fibre and ventricular compartments, but did not show specific patterns for epicardium versus endocardium, nor left‐ versus right‐sided chambers. Genes that characterized the atria (versus ventricles) included Cx40, Kv1.5 and Kir3.1 as expected, but also Cav1.3, Cav3.1, Cavα2δ2, Navβ1, TWIK1, TASK1 and HCN4. Only Kir2.1, RyR2, phospholamban and Kv1.4 showed higher expression in the ventricles. The Purkinje fibre expression‐portrait (versus ventricle) included stronger expression of Cx40, Kv4.3, Kir3.1, TWIK1, HCN4, ClC6 and CALM1, along with weaker expression of mRNA encoding Cx43, Kir2.1, KChIP2, the pumps/exchangers Na+,K+‐ATPase, NCX1, SERCA2, and the Ca 2+‐handling proteins RYR2 and CASQ2. Transcripts that were more strongly expressed in epicardium (versus endocardium) included Cav1.2, KChIP2, SERCA2, CALM3 and calcineurin‐α. Nav1.5 and Navβ1 were more strongly expressed in the endocardium. For selected genes, RT‐PCR data were confirmed at the protein level. This is the first report of the global portrait of regional ion‐channel subunit‐gene expression in the non‐diseased human heart. Our data point to significant regionally determined ion‐channel expression differences, with potentially important implications for understanding regional electrophysiology, arrhythmia mechanisms, and responses to ion‐channel blocking drugs. Concordance with previous functional studies suggests that regional regulation of cardiac ion‐current expression may be primarily transcriptional.
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Cites
Analysis of Relative Gene Expression Data Using Real-Time Quantitative PCR and the 2−ΔΔCT Method
Livak, K. J., & Schmittgen, T. D. (2001) · Methods · doi:10.1006/meth.2001.1262 · Cited by 180,860
Cluster analysis and display of genome-wide expression patterns
Eisen, M. B., Spellman, P. T., Brown, P. O., & Botstein, D. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.25.14863 · Cited by 16,184
Mutation of the mouse klotho gene leads to a syndrome resembling ageing
Kuro-o, M., Matsumura, Y., Aizawa, H., Kawaguchi, H., Suga, T., Utsugi, T., Ohyama, Y., Kurabayashi, M., Kaname, T., Kume, E., et al. (1997) · Nature · doi:10.1038/36285 · Cited by 3,837
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O'Hara, T., Virág, L., Varró, A., & Rudy, Y. (2011) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002061 · Cited by 1,196
A Platform for Generation of Chamber-Specific Cardiac Tissues and Disease Modeling
Zhao, Y., Rafatian, N., Feric, N. T., Cox, B. J., Aschar-Sobbi, R., Wang, E. Y., Aggarwal, P., Zhang, B., Conant, G., Ronaldson-Bouchard, K., et al. (2019) · Cell · doi:10.1016/j.cell.2018.11.042 · Cited by 610
Maturing human pluripotent stem cell-derived cardiomyocytes in human engineered cardiac tissues
Feric, N. T., & Radisic, M. (2016) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2015.04.019 · Cited by 247
Kensah, G., Roa Lara, A., Dahlmann, J., Zweigerdt, R., Schwanke, K., Hegermann, J., Skvorc, D., Gawol, A., Azizian, A., Wagner, S., et al. (2013) · European Heart Journal · doi:10.1093/eurheartj/ehs349 · Cited by 193
Baruscotti, M., Barbuti, A., & Bucchi, A. (2010) · Journal of Molecular and Cellular Cardiology · doi:10.1016/j.yjmcc.2009.06.019 · Cited by 149
Burashnikov, A., Barajas-Martinez, H., Hu, D., Nof, E., Blazek, J., & Antzelevitch, C. (2012) · Journal of Cardiovascular Pharmacology · doi:10.1097/fjc.0b013e31824e1b93 · Cited by 25
Cavanaugh, J., & French, J. A. (2013) · Hormones and Behavior · doi:10.1016/j.yhbeh.2013.02.006 · Cited by 15
The Inferred Cardiogenic Gene Regulatory Network in the Mammalian Heart
Bazil, J. N., Stamm, K. D., Li, X., Thiagarajan, R., Nelson, T. J., Tomita-Mitchell, A., & Beard, D. A. (2014) · PLoS ONE · doi:10.1371/journal.pone.0100842 · Cited by 8
Metadata
- Authors
- Gaborit, N., Le Bouter, S., Szuts, V., Varro, A., Escande, D., Nattel, S., & Demolombe, S.
- Venue
- The Journal of Physiology
- Publisher
- Wiley
- Published
- 2007-07-05
- Volume
- 582
- Issue
- 2
- Pages
- 675-693
- ISSN
- 0022-3751 (ISSN-L)
- 1469-7793
- OpenAlex
- W2100078256
- Cited by
- 522
- References
- 3
- FWCI
- 19.44
- Type
- journal article
- Language
- en
- Open access
- green
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