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Upregulation of acid ceramidase contributes to tumor progression in tuberous sclerosis complex
Aristotelis Astrinidis, Chenggang Li, Erik Y. Zhang, Xueheng Zhao, Shuyang Zhao, Minzhe Guo, Tasnim Olatoke, Ushodaya Mattam, Rong Huang, Alan G. Zhang, Lori Pitstick, Elizabeth J. Kopras, Nishant Gupta, Roman Jandarov, Eric P. Smith, Elizabeth Fugate, Diana Lindquist, Maciej M. Markiewski, Magdalena Karbowniczek, Kathryn A. Wikenheiser-Brokamp, Kenneth D. R. Setchell, Francis X. McCormack, Yan Xu, Jane J. Yu
Aristotelis Astrinidis, Chenggang Li, Erik Y. Zhang, Xueheng Zhao, Shuyang Zhao, Minzhe Guo, Tasnim Olatoke, Ushodaya Mattam, Rong Huang, Alan G. Zhang, Lori Pitstick, Elizabeth J. Kopras, Nishant Gupta, Roman Jandarov, Eric P. Smith, Elizabeth Fugate, Diana Lindquist, Maciej M. Markiewski, Magdalena Karbowniczek, Kathryn A. Wikenheiser-Brokamp, Kenneth D. R. Setchell, Francis X. McCormack, Yan Xu, Jane J. Yu
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Research Article Cell biology Metabolism

Upregulation of acid ceramidase contributes to tumor progression in tuberous sclerosis complex

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Abstract

Tuberous sclerosis complex (TSC) is characterized by multisystem, low-grade neoplasia involving the lung, kidneys, brain, and heart. Lymphangioleiomyomatosis (LAM) is a progressive pulmonary disease affecting almost exclusively women. TSC and LAM are both caused by mutations in TSC1 and TSC2 that result in mTORC1 hyperactivation. Here, we report that single-cell RNA sequencing of LAM lungs identified activation of genes in the sphingolipid biosynthesis pathway. Accordingly, the expression of acid ceramidase (ASAH1) and dihydroceramide desaturase (DEGS1), key enzymes controlling sphingolipid and ceramide metabolism, was significantly increased in TSC2-null cells. TSC2 negatively regulated the biosynthesis of tumorigenic sphingolipids, and suppression of ASAH1 by shRNA or the inhibitor ARN14976 (17a) resulted in markedly decreased TSC2-null cell viability. In vivo, 17a significantly decreased the growth of TSC2-null cell–derived mouse xenografts and short-term lung colonization by TSC2-null cells. Combined rapamycin and 17a treatment synergistically inhibited renal cystadenoma growth in Tsc2+/– mice, consistent with increased ASAH1 expression and activity being rapamycin insensitive. Collectively, the present study identifies rapamycin-insensitive ASAH1 upregulation in TSC2-null cells and tumors and provides evidence that targeting aberrant sphingolipid biosynthesis pathways has potential therapeutic value in mechanistic target of rapamycin complex 1–hyperactive neoplasms, including TSC and LAM.

Authors

Aristotelis Astrinidis, Chenggang Li, Erik Y. Zhang, Xueheng Zhao, Shuyang Zhao, Minzhe Guo, Tasnim Olatoke, Ushodaya Mattam, Rong Huang, Alan G. Zhang, Lori Pitstick, Elizabeth J. Kopras, Nishant Gupta, Roman Jandarov, Eric P. Smith, Elizabeth Fugate, Diana Lindquist, Maciej M. Markiewski, Magdalena Karbowniczek, Kathryn A. Wikenheiser-Brokamp, Kenneth D. R. Setchell, Francis X. McCormack, Yan Xu, Jane J. Yu

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Figure 1

scRNA-Seq analysis identified sphingolipid pathways and related genes induced in LAM mesenchymal cells and renal AML ACTA2+ cells.

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scRNA-Seq analysis identified sphingolipid pathways and related genes in...
(A) Integration of 54,511 cells from 2 LAM lung samples and 6 control lung samples. Cells are visualized using uniform manifold approximation and projection and colored by major lineages. (B) A total of 736 mesenchymal cells from control samples and 190 mesenchymal cells from LAM lung samples are integrated and extracted for direct comparison. (C) Functional enrichment analysis of genes induced in LAM mesenchymal cells versus control mesenchymal cells. (D) Dot plots showing the increasing expression and frequency of ASAH1 and DEGS1 in LAM versus control. Node size represents gene expression frequency. Node color represents the scaled average expression. (E) Box plots showing the expression frequency of representative sphingolipid biosynthesis pathway genes in control mesenchymal cells and LAM mesenchymal cells. Box plots show the interquartile range (box), median (line), and minimum and maximum (whiskers). (F) Visualization of 1,583 cells from lesions of renal AML tumor cells. Cells are visualized using t-distributed stochastic neighbor embedding. Cells are colored by condition. AML lesions consist of 3 major cell types: ACTA2+ AML cells (largest cluster), immune cells, and endothelial cells. AML scRNA-Seq data were downloaded from GEO GSM4035469, with cell type annotation based on the previous study (52). (G) Dot plot showing selected sphingolipid biosynthesis pathway genes’ expression comparison across the 3 AML cell populations. Node size represents gene expression frequency. Node color represents the scaled average expression. (H) Feature plots of LAM and AML markers (ACTA2, PMEL, FIGF, and CTSK) and sphingolipid pathway genes (ASAH1, DEGS1, SPHK1, and SPHK2) in AML cells.

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