@article{71d746c89dbd4272aa02da3d970c1f92,
title = "Cholesterol accessibility at the ciliary membrane controls hedgehog signaling",
abstract = "Previously we proposed that transmission of the Hedgehog signal across the plasma membrane by Smoothened is triggered by its interaction with cholesterol (Luchetti et al., 2016). But how is cholesterol, an abundant lipid, regulated tightly enough to control a signaling system that can cause birth defects and cancer? Using toxin-based sensors that distinguish between distinct pools of cholesterol, we find that Smoothened activation and Hedgehog signaling are driven by a biochemically-defined, small fraction of membrane cholesterol, termed accessible cholesterol. Increasing cholesterol accessibility by depletion of sphingomyelin, which sequesters cholesterol in complexes, amplifies Hedgehog signaling. Hedgehog ligands increase cholesterol accessibility in the membrane of the primary cilium by inactivating the transporter-like protein Patched 1. Trapping this accessible cholesterol blocks Hedgehog signal transmission across the membrane. Our work shows that the organization of cholesterol in the ciliary membrane can be modified by extracellular ligands to control the activity of cilia-localized signaling proteins.",
author = "Maia Kinnebrew and Iverson, {Ellen J.} and Patel, {Bhaven B.} and Pusapati, {Ganesh V.} and Kong, {Jennifer H.} and Johnson, {Kristen A.} and Giovanni Luchetti and Eckert, {Kaitlyn M.} and McDonald, {Jeffrey G.} and Covey, {Douglas F.} and Christian Siebold and Arun Radhakrishnan and Rajat Rohatgi",
note = "Funding Information: We thank Kye Tlravaglini and Onn Brandman for help with the MATLAB code for automated quantitation of probe fluorescence at primary cilia, Xiaohui Zha and Kevin Courtney for helpful discusonss anid protocols for sphingomyelin asayss, Greg Fairn for suggesting low-deo s staurosporine to elevate SM levels, Danya Vazquez for help with protein purification, and Ted Steck and Yvonne Lange for helpful comments, including discusonss abiout cholesterol thresholds for SMO activation and PFO binndangd tih“pepu-l eak”mmodel for PTCH1 function at cilia. We also thank Suzanne Pfeffer, Pehr Harbury, and Eamon Byrne for comments on the manuscipt rand We Alex McMillan, PhD (Department of Biomedical Data Science, Stanford University School of Medicine) for expert advice on statistical analysis. CS was supported by grants from Cancer Research UK (C20724/A14414 and C20724/A26752) and a European Research Council grant (647278), RR by grants from the National Institutes of Health (GM118082 and GM106078), AR by grants from the NIH (HL20948) and Welch Foundation (I-1793), JGM in part by the NIH (HL20948), MK and EJI by pre-doctoral fellowships from the National Science Foundation, KAJ by a post-doctoral fellowship from the Hartwell Foundation, GL by a pre-doctoral fellowship from the Ford Foundation, GP by a post-doctoral fellowship from the American Heart Asocisation (14POST20370057), and JK by a post-doctoral fellowship from the American Heart Asocisation (19POST34380734) and a K99/R00 award from the NIH (GM13251801). Funding Information: We thank Kyle Travaglini and Onn Brandman for help with the MATLAB code for automated quantitation of probe fluorescence at primary cilia, Xiaohui Zha and Kevin Courtney for helpful discussions and protocols for sphingomyelin assays, Greg Fairn for suggesting low-dose staurosporine to elevate SM levels, Danya Vazquez for help with protein purification, and Ted Steck and Yvonne Lange for helpful comments, including discussions about cholesterol thresholds for SMO activation and PFO binding and the ?pump-leak? model for PTCH1 function at cilia. We also thank Suzanne Pfeffer, Pehr Harbury, and Eamon Byrne for comments on the manuscript and We Alex McMillan, PhD (Department of Biomedical Data Science, Stanford University School of Medicine) for expert advice on statistical analysis. CS was supported by grants from Cancer Research UK (C20724/A14414 and C20724/A26752) and a European Research Council grant (647278), RR by grants from the National Institutes of Health (GM118082 and GM106078), AR by grants from the NIH (HL20948) and Welch Foundation (I-1793), JGM in part by the NIH (HL20948), MK and EJI by pre-doctoral fellowships from the National Science Foundation, KAJ by a post-doctoral fellowship from the Hartwell Foundation, GL by a pre-doctoral fellowship from the Ford Foundation, GP by a post-doctoral fellowship from the American Heart Association (14POST20370057), and JK by a post-doctoral fellowship from the American Heart Association (19POST34380734) and a K99/R00 award from the NIH (GM13251801). Publisher Copyright: {\textcopyright} 2019, eLife Sciences Publications Ltd. All rights reserved.",
year = "2019",
month = oct,
doi = "10.7554/eLife.50051",
language = "English",
volume = "8",
journal = "eLife",
issn = "2050-084X",
}