NAR CancerMolecular BiologyPeer-reviewed journal article
Communication between the nucleus and the mitochondria via NDUFS4 alternative splicing in gastric cancer cells
Vasiliki PapadakiiD, Zoi Erpapazoglou, Maria Kokkori, Malgorzata Ewa RogalskaiD, Myrto PotiriiD, Andrada Birladeanu, Eleni N. TsakiriiD, Hassan AshktorabiD, Duane T. Smoot, Katerina PapanikolopoulouiD, Martina K. SamiotakiiD, Panagiota KafaslaiD
Abstract
A constant communication between the nucleus and the mitochondria allows both organelles to ensure cellular homeostasis and adaptation to mitochondrial stress. Mitochondrial biogenesis and function are controlled by anterograde regulatory pathways involving a large number of nuclear-encoded proteins. Transcriptional networks controlling the nuclear-encoded mitochondrial genes are known, however alternative splicing (AS) regulation has not been implicated in this communication. Here, we show that IQGAP1, a scaffold protein that regulates AS of distinct subsets of genes in gastric cancer cells, participates in AS regulation that strongly affects mitochondrial respiration. Combined proteomic analyses and RNA-seq profiles of IQGAP1KO and parental cells show that IQGAP1KO alters a specific AS event of the mitochondrial respiratory chain complex I subunit NDUFS4 and downregulates a subset of complex I subunits. In IQGAP1KO cells, respiratory complex I intermediates accumulate resembling assembly deficiencies observed in patients with Leigh syndrome bearing NDUFS4 mutations. Mitochondrial complex I activity is significantly lower in KO compared to parental cells, while exogenous expression of IQGAP1 partially restores NDUFS4 AS pattern and expression and reverses mitochondrial defects of IQGAP1KO cells. Our work sheds light to a novel facet of IQGAP1 in mitochondrial quality control that involves fine-tuning of complex I activity through AS regulation.
- organism: human
- assay: proteomics
- assay: bulk RNA-seq
- research focus: differential expression
- research focus: gene regulatory network inference
- research focus: cell-cell communication
- approach: statistical model
- approach: experimental assay
- Citations
- 9
- FWCI
- 0.80
- Field percentile
- top 33%
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