Genome-wide identification and functional analyses of microRNA signatures associated with cancer pain
Article first published online: 18 OCT 2013
Copyright © 2013 EMBO Molecular Medicine
This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
EMBO Molecular Medicine
Volume 5, Issue 11, pages 1740–1758, November 2013
How to Cite
Bali, K. K., Selvaraj, D., Satagopam, V. P., Lu, J., Schneider, R. and Kuner, R. (2013), Genome-wide identification and functional analyses of microRNA signatures associated with cancer pain. EMBO Mol Med, 5: 1740–1758. doi: 10.1002/emmm.201302797
- Issue published online: 4 NOV 2013
- Article first published online: 18 OCT 2013
- Accepted manuscript online: 2 SEP 2013 06:32AM EST
- Manuscript Accepted: 27 AUG 2013
- Manuscript Revised: 22 AUG 2013
- Manuscript Received: 23 MAR 2013
- Association of International Cancer Research and the Sander Stiftung
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Figure S1. Lack of uptake of intrathecally administered miRNA-inhibitors in spinal cord neurons.
Figure S2. Functional validation of miRNAs upregulated in DRGs in tumour-bearing mice with respect to tumour-induced mechanical hypersensitivity.
Figure S3. Functional validation of miRNAs downregulated in DRGs in tumour-bearing mice with respect to tumour-induced mechanical hypersensitivity.
Figure S4. Representative images from the cryosections of lumbar DRG to confirm the lack of auto fluorescence or unspecific staining for images shown in Fig 5 panel E.
Figure S5. Effect of siRNA-mediated Clcn3 knock-down in the DRGs on the basal mechanical sensitivity.
Table S1. Complete data over miRNAs, which were found to be significantly upregulated or downregulated via microarray analysis in ipsilateral lumbar DRG on Day 8 following induction of tumour growth in the calcaneous bone of the heel in mice as compared to sham surgery.
Table S2. Sequences of LNA-based miRNA-inhibitors, which were custom designed for miRNA inhibition in the DRGs in vivo.
Table S3. Summary of top 10 genes, which represent predictions as targets of miR-1a-3p via in silico analysis using 14 different algorithms.
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