The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Patterns of pain: Meta-analysis of microarray studies of pain
Open accessAbstract
Existing microarray gene expression profiling studies of tonic/chronic pain were subjected to meta-analysis to identify genes found to be regulated by these pain states in multiple, independent experiments. Twenty studies published from 2002 to 2008 were identified, describing the statistically significant regulation of 2254 genes. Of those, a total of 79 genes were found to be statistically significant "hits" in 4 or more independent microarray experiments, corresponding to a conservative P<0.01 overall. Gene ontology-based functional annotation clustering analyses revealed strong evidence for regulation of immune-related genes in pain states. A multi-gene quantitative real-time polymerase chain reaction experiment was run on dorsal root ganglion (DRG) and spinal cord tissue from rats and mice given nerve (sciatic chronic constriction; CCI) or inflammatory (complete Freund's adjuvant) injury. We independently confirmed the regulation of 43 of these genes in the rat-CCI-DRG condition; the genetic correlates in all other conditions were largely and, in some cases, strikingly, independent. However, a handful of genes were identified whose regulation bridged etiology, anatomical locus, and/or species. Most notable among these were Reg3b (regenerating islet-derived 3 beta; pancreatitis-associated protein) and Ccl2 (chemokine [C-C motif] ligand 2), which were significantly upregulated in every condition in the rat.
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Cites
DAVID: Database for Annotation, Visualization, and Integrated Discovery
Dennis, G., Sherman, B. T., Hosack, D. A., Yang, J., Gao, W., Lane, H. C., & Lempicki, R. A. (2003) · Genome Biology · doi:10.1186/gb-2003-4-5-p3 · Cited by 9,327
A peripheral mononeuropathy in rat that produces disorders of pain sensation like those seen in man
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Microarray data analysis: from disarray to consolidation and consensus
Allison, D. B., Cui, X., Page, G. P., & Sabripour, M. (2006) · Nature Reviews Genetics · doi:10.1038/nrg1749 · Cited by 1,339 · cited 1×
“Much has been said about the reliability and false-positive rates of these techniques from a statistical perspective [3,18,20], but far less is known about the error associated with actual biological differences across multiple experiments over time.”
BackgroundRepeatability of published microarray gene expression analyses
Ioannidis, J. P. A., Allison, D. B., Ball, C. A., Coulibaly, I., Cui, X., Culhane, A. C., Falchi, M., Furlanello, C., Game, L., Jurman, G., et al. (2009) · Nature Genetics · doi:10.1038/ng.295 · Cited by 551
Dynamic Pattern of Reg-2 Expression in Rat Sensory Neurons after Peripheral Nerve Injury
Averill, S., Davis, D. R., Shortland, P. J., Priestley, J. V., & Hunt, S. P. (2002) · The Journal of Neuroscience · doi:10.1523/jneurosci.22-17-07493.2002 · Cited by 60
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Transcriptional Reprogramming of Distinct Peripheral Sensory Neuron Subtypes after Axonal Injury
Renthal, W., Tochitsky, I., Yang, L., Cheng, Y.-C., Li, E., Kawaguchi, R., Geschwind, D. H., & Woolf, C. J. (2020) · Neuron · doi:10.1016/j.neuron.2020.07.026 · Cited by 553
North, R. Y., Li, Y., Ray, P., Rhines, L. D., Tatsui, C. E., Rao, G., Johansson, C. A., Zhang, H., Kim, Y. H., Zhang, B., et al. (2019) · Brain · doi:10.1093/brain/awz063 · Cited by 282
Chronic Pain: Emerging Evidence for the Involvement of Epigenetics
Denk, F., & McMahon, S. B. (2012) · Neuron · doi:10.1016/j.neuron.2012.01.012 · Cited by 263
Parisien, M., Samoshkin, A., Tansley, S. N., Piltonen, M. H., Martin, L. J., El-Hachem, N., Dagostino, C., Allegri, M., Mogil, J. S., Khoutorsky, A., et al. (2019) · Pain · doi:10.1097/j.pain.0000000000001471 · Cited by 85
Self-citationDegeneracy in the nervous system: From neuronal excitability to neural coding
Kamaleddin, M. A. (2022) · BioEssays · doi:10.1002/bies.202100148 · Cited by 24
Metadata
- Authors
- LaCroix-Fralish, M. L., Austin, J.-S., Zheng, F. Y., Levitin, D. J., & Mogil, J. S.
- Venue
- Pain
- Published
- 2011-08
- Volume
- 152
- Issue
- 8
- Pages
- 1888-1898
- ISSN
- 0304-3959 (ISSN-L)
- OpenAlex
- W2094248609
- Cited by
- 204
- References
- 5
- FWCI
- 2.04
- Type
- journal article
- Language
- en
- Open access
- green
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- LaCroix-Fralish, M. L., Austin, J.-S., Zheng, F. Y., Levitin, D. J., & Mogil, J. S. (2011). Patterns of pain: Meta-analysis of microarray studies of pain. Pain. https://doi.org/10.1016/j.pain.2011.04.014
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
