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Bardet-Biedl syndrome proteins regulate intracellular signaling and neuronal function in patient-specific iPSC-derived neurons
Liheng Wang, … , Claudia A. Doege, Rudolph L. Leibel
Liheng Wang, … , Claudia A. Doege, Rudolph L. Leibel
Published February 25, 2021
Citation Information: J Clin Invest. 2021;131(8):e146287. https://doi.org/10.1172/JCI146287.
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Research Article

Bardet-Biedl syndrome proteins regulate intracellular signaling and neuronal function in patient-specific iPSC-derived neurons

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Abstract

Bardet-Biedl syndrome (BBS) is a rare autosomal recessive disorder caused by mutations in genes encoding components of the primary cilium and is characterized by hyperphagic obesity. To investigate the molecular basis of obesity in human BBS, we developed a cellular model of BBS using induced pluripotent stem cell–derived (iPSC-derived) hypothalamic arcuate-like neurons. BBS mutations BBS1M390R and BBS10C91fsX95 did not affect neuronal differentiation efficiency but caused morphological defects, including impaired neurite outgrowth and longer primary cilia. Single-cell RNA sequencing of BBS1M390R hypothalamic neurons identified several downregulated pathways, including insulin and cAMP signaling and axon guidance. Additional studies demonstrated that BBS1M390R and BBS10C91fsX95 mutations impaired insulin signaling in both human fibroblasts and iPSC-derived neurons. Overexpression of intact BBS10 fully restored insulin signaling by restoring insulin receptor tyrosine phosphorylation in BBS10C91fsX95 neurons. Moreover, mutations in BBS1 and BBS10 impaired leptin-mediated p-STAT3 activation in iPSC-derived hypothalamic neurons. Correction of the BBS mutation by CRISPR rescued leptin signaling. POMC expression and neuropeptide production were decreased in BBS1M390R and BBS10C91fsX95 iPSC–derived hypothalamic neurons. In the aggregate, these data provide insights into the anatomic and functional mechanisms by which components of the BBSome in CNS primary cilia mediate effects on energy homeostasis.

Authors

Liheng Wang, Yang Liu, George Stratigopoulos, Sunil Panigrahi, Lina Sui, Yiying Zhang, Charles A. Leduc, Hannah J. Glover, Maria Caterina De Rosa, Lisa C. Burnett, Damian J. Williams, Linshan Shang, Robin Goland, Stephen H. Tsang, Sharon Wardlaw, Dieter Egli, Deyou Zheng, Claudia A. Doege, Rudolph L. Leibel

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Figure 3

BBS mutations disturb neurite outgrowth and impair Wnt and SHH signaling in TUJ1+ iPSC–derived neurons.

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BBS mutations disturb neurite outgrowth and impair Wnt and SHH signaling...
(A–C) Neurite outgrowth assay of control and BBS iPSC–derived neurons on day 30 of differentiation. (A) TUJ1 staining of control and BBS mutant cultures. Scale bar: 50 μm. Mean neurite length (B) and average number of neurite processes (C) were calculated using the neurite outgrowth tool in MetaMorph software based on TUJ1 and Hoechst staining (n = 10 independent wells, 2,500 cells/well). **P < 0.01, ***P < 0.001, ****P < 0.0001 by 1-way ANOVA followed by Bonferroni’s multiple-comparison test (vs. control 1); the asterisks above the horizontal bars in B and C are for the 1-way ANOVA that permitted the pair-wise testing. (D and E) Wnt signaling is impaired in BBS iPSC–derived neurons. Control 1, BBS1A, BBS1B, and BBS10A iPSC–derived neurons (day 30) were treated with vehicle (Veh) or 100 ng/mL Wnt3a for 16 hours. Frizzled 1 (FZD1) and AXIN2 mRNA levels were determined by qPCR (n = 3). (F and G) SHH signaling is reduced in BBS iPSC–derived neurons. Control and BBS iPSC–derived neurons (day 30) were treated with vehicle or 100 ng/mL SHH for 16 hours. GLI1 and PTCH1 mRNA levels were analyzed by qPCR (n = 3). (H) Smoothened (SMO) staining in SHH-treated control and BBS iPSC–derived neurons. Control and BBS1A iPSC–derived neurons were treated with vehicle or 100 ng/mL SHH overnight. Neurons were fixed and stained with anti-SMO and anti–γ-tubulin (G-TUB, basal body) antibodies for cilia and Hoechst for nuclei. Scale bar: 20μm. (I) Quantification of SMO+ cilia in E. Hoechst was used as nuclear marker. SMO+ cilia percentage was calculated by (SMO+ cells/Hoechst+ cells) × 100 (n = 3 independent images). *P < 0.05, **P < 0.01, ***P < 0.001, ****P < 0.0001 by 2-way ANOVA followed by Bonferroni’s multiple-comparison test (D–G and I).

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ISSN: 0021-9738 (print), 1558-8238 (online)

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