bioRxivCancer BiologyPreprint
TRPML1 signaling at lysosomes-mitochondria nexus drives triple-negative breast cancer mitophagy, metabolic reprogramming and chemoresistance
Alia Kazim Rizvi Syeda, Shekoufeh AlmasiiD, Cory J. Benson, Barry E. Kennedy, Ryan M. Yoast, Scott M. EmrichiD, Logan SladeiD, Shanmugasundaram PakkiriswamiiD, Vishnu Vijay Vijayan, Shashi Ashok GujariD, Thomas PulinilkunniliD, Mohamed TrebakiD, Yassine El HianiiD
Abstract
Inter-organelle signaling mechanisms, particularly those at the lysosomes-mitochondria interface, are critical for cancer cell metabolism, mitophagy and survival. However, the incomplete understanding of these mechanisms has limited the development of effective therapies, especially for triple-negative breast cancers (TNBC). Here, we demonstrate the lysosomal Ca{superscript 2}-release channel TRPML1 as a master regulator of mitochondrial bioenergetics in TNBC cells. TRPML1 knockdown (ML1-KD) in TNBC cells selectively compromises mitochondrial respiration, reprograms cell metabolism, and induces mitochondrial fragmentation without impacting non-cancerous cells. Mitochondria of ML1-KD TNBC cells sequester around the endoplasmic reticulum (ER), increasing mitochondria-ER contact sites at the expense of mitochondria-lysosomes contacts. Mechanistically, ML1-KD reduces lysosomal acidification, thus hindering autophagic flux and completion of autophagy. ML1-KD inhibits TFEB-mediated mitophagy and oxidative defense mechanisms while causing mitochondrial Ca2+ overload, further impairing mitochondrial function. These alterations render ML1-KD TNBC cells highly sensitive to doxorubicin and paclitaxel at low doses that are typically ineffective on their own. Together, our findings establish TRPML1 as a critical inter-organelle regulator and highlight its potential as a therapeutic target to exploit the metabolic vulnerabilities of TNBC cells.
- organism: human
- assay: metabolomics
- assay: proteomics
- research focus: cancer & tumor microenvironment
- research focus: cell signaling & trafficking
- research focus: drug response / drug discovery
- approach: experimental assay
- approach: statistical model
- Citations
- 3
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