The folding and trafficking of transmembrane glycoproteins are essential for cellular homeostasis and are compromised in many diseases. In Niemann-Pick type C disease, a lysosomal disorder characterized by impaired intracellular cholesterol trafficking, the transmembrane glycoprotein NPC1 misfolds due to disease-causing missense mutations. While mutant NPC1 has emerged as a robust target for proteostasis modulators, drug development efforts have been unsuccessful in mouse models. Here, we demonstrated unexpected differences in trafficking through the medial Golgi between mouse and human I1061T-NPC1, a common disease-causing mutant. We established that these distinctions are governed by differences in the NPC1 protein sequence rather than by variations in the endoplasmic reticulum–folding environment. Moreover, we demonstrated direct effects of mutant protein trafficking on the response to small molecules that modulate the endoplasmic reticulum–folding environment by affecting Ca++ concentration. Finally, we developed a panel of isogenic human NPC1 iNeurons expressing WT, I1061T-, and R934L-NPC1 and demonstrated their utility in testing these candidate therapeutics. Our findings identify important rules governing mutant NPC1’s response to proteostatic modulators and highlight the importance of species- and mutation-specific responses for therapy development.
Mark L. Schultz, Kylie J. Schache, Ruth D. Azaria, Esmée Q. Kuiper, Steven Erwood, Evgueni A. Ivakine, Nicole Y. Farhat, Forbes D. Porter, Koralege C. Pathmasiri, Stephanie M. Cologna, Michael D. Uhler, Andrew P. Lieberman
Usage data is cumulative from March 2024 through March 2025.
Usage | JCI | PMC |
---|---|---|
Text version | 1,032 | 364 |
115 | 100 | |
Figure | 400 | 6 |
Supplemental data | 35 | 7 |
Citation downloads | 43 | 0 |
Totals | 1,625 | 477 |
Total Views | 2,102 |
Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.
Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.