RAD23 Control of ALS phenotypes

Project: Research project

Project Details


The accumulation of damaged, misfolded and aggregation-prone proteins in neurodegenerative diseases reflects corruption of cellular protein homeostasis (or “proteostasis”). Proteostasis is the proper balance of protein synthesis and protein degradation that is required for optimal cellular functioning. The identification of misfolded proteins and their targeting to the major degradative pathways (i.e., the proteasome or the autophagy pathway) are highly regulated processes. A key protein in this process is RAD23. RAD23 promotes the degradation of some proteins and stabilizes cellular levels of other proteins. The mechanism underlying these diametrically opposed operations is not understood. Interestingly, ablation of rad23 accelerates the destruction several disease-causing, aggregation-prone mutated proteins (i.e., polyQ expanded Ataxin3, TDP43, SOD) and confers benefits in a variety of model systems. We hypothesize that RAD23 bridges ubiquitinated misfolded proteins with the proteasome and in doing so, sterically or allosterically inhibits proteasome function. In this way, RAD23 impairs proteostasis. In specific aim #1, we will use imaging and biochemical approaches to test this mechanism of RAD23 action. In in vitro and C.elegans models of ALS, loss of RAD23 is health promoting – whether this is true in mouse models is unknown. Mammals have 2 rad23 isoforms, rad23A and rad23B. In specific aims 2-4, we will use genetic and anti-sense oligomer technology to ablate and/or knockdown rad23A, rad23B or both in several mouse models of ALS. We will comprehensively interrogate the effects of loss of rad23A/B on mouse survival, behavior and biochemistry. The successful completion of these studies has the potential to be translated into clinical therapeutics.
Effective start/end date6/1/215/31/26


  • National Institute of Neurological Disorders and Stroke (1R01NS122908-01)


Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.