Douglas Kenneth Rabert

A tetrodotoxin-resistant voltage-gated sodium channel from human dorsal root ganglia, hPN3/SCN10A

Abstract Neuropathic pain may be produced, at least in part, by the increased activity of primary afferent neurons. Studies have suggested that an accumulation of voltage‐gated sodium channels at the site of peripheral nerve injury is a primary precursory event for subsequent afferent hyperexcitability. In this study, a human sodium channel (hPN3, SCN10A) has been cloned from the lumbar 4/5 dorsal root ganglia (DRG). Expression of hPN3 in Xenopus oocytes showed that this clone is a functional voltage‐gated sodium channel. The amino acid sequence of hPN3 is most closely related to the rat PN3/SNS sodium channels which are expressed primarily in the small neurons of rat DRGs. The homologous relationship between rPN3 and hPN3 is defined by (i) a high level of sequence identity (ii) sodium currents that are highly resistant to tetrodotoxin (TTX) (iii) similar tissue distribution profiles and (iv) orthologous chromosomal map positions. Since rPN3/SNS has been implicated in nociceptive transmission, hPN3 may prove to be a valuable target for therapeutic agents against neuropathic pain.

Assessment of differential gene expression in human peripheral nerve injury

BackgroundMicroarray technology is a powerful methodology for identifying differentially expressed genes. However, when thousands of genes in a microarray data set are evaluated simultaneously by fold changes and significance tests, the probability of detecting false positives rises sharply. In this first microarray study of brachial plexus injury, we applied and compared the performance of two recently proposed algorithms for tackling this multiple testing problem, Significance Analysis of Microarrays (SAM) and Westfall and Young step down adjusted p values, as well as t-statistics and Welch statistics, in specifying differential gene expression under different biological states.ResultsUsing SAM based on t statistics, we identified 73 significant genes, which fall into different functional categories, such as cytokines / neurotrophin, myelin function and signal transduction. Interestingly, all but one gene were down-regulated in the patients. Using Welch statistics in conjunction with SAM, we identified an additional set of up-regulated genes, several of which are engaged in transcription and translation regulation. In contrast, the Westfall and Young algorithm identified only one gene using a conventional significance level of 0.05.ConclusionIn coping with multiple testing problems, Family-wise type I error rate (FWER) and false discovery rate (FDR) are different expressions of Type I error rates. The Westfall and Young algorithm controls FWER. In the context of this microarray study, it is, seemingly, too conservative. In contrast, SAM, by controlling FDR, provides a promising alternative. In this instance, genes selected by SAM were shown to be biologically meaningful.