A compendium of validated pain genes.
Eric WistromRebecca ChasePatrick R SmithZachary T CampbellPublished in: WIREs mechanisms of disease (2022)
The development of novel pain therapeutics hinges on the identification and rigorous validation of potential targets. Model organisms provide a means to test the involvement of specific genes and regulatory elements in pain. Here we provide a list of genes linked to pain-associated behaviors. We capitalize on results spanning over three decades to identify a set of 242 genes. They support a remarkable diversity of functions spanning action potential propagation, immune response, GPCR signaling, enzymatic catalysis, nucleic acid regulation, and intercellular signaling. Making use of existing tissue and single-cell high-throughput RNA sequencing datasets, we examine their patterns of expression. For each gene class, we discuss archetypal members, with an emphasis on opportunities for additional experimentation. Finally, we discuss how powerful and increasingly ubiquitous forward genetic screening approaches could be used to improve our ability to identify pain genes. This article is categorized under: Neurological Diseases > Genetics/Genomics/Epigenetics Neurological Diseases > Molecular and Cellular Physiology.
Keyphrases
- chronic pain
- genome wide
- single cell
- pain management
- bioinformatics analysis
- genome wide identification
- high throughput
- neuropathic pain
- immune response
- rna seq
- nucleic acid
- dna methylation
- transcription factor
- small molecule
- poor prognosis
- spinal cord injury
- nitric oxide
- risk assessment
- hydrogen peroxide
- toll like receptor
- inflammatory response
- long non coding rna
- blood brain barrier
- dendritic cells