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A multitargeting approach rewires cell identity in fusion-negative rhabdomyosarcoma [bulk_ATACseq]

GSE275736 Homo sapiens; Mus musculus Genome binding/occupancy profiling by high throughput sequencing 8 samples Submitted 2024/09/03 Platform GPL21103Platform GPL20301
Summary
Rhabdomyosarcoma (RMS), the most common soft-tissue sarcoma occurring in the pediatric population, arises from the skeletal muscle compartment. Several transcriptional and post-transcriptional regulators lock the tumor in a continuous undifferentiated state and prevent the cells from returning to quiescence. MicroRNAs (miRNAs) are short non-coding RNAs that modulate cell identity by means of post-transcriptional regulation of messenger RNAs. In this study, we aimed at identifying miRNAs that could affect FN-RMS cell identity. Thus, we analyzed publicly available datasets and identified miR-449a and miR-340 as the main regulators of cell cycle and p53 signaling. Using miR-eCLIP technology, we identified the direct effects of miRNAs in FN-RMS cell lines, and an overall rewiring of cell identity at the transcriptomic, epigenetic and metabolic level. We observed that miR-449a+340 directly and indirectly targeted glycolysis and pyruvate entry into mitochondria by inhibiting mitochondrial pyruvate complex (MPC) inhibition. The pharmacological inhibition of MPC resulted in a similar metabolic shift with cell cycle exit and a significant reduction in metastatic potential of FN-RMS models. In conclusion, the combination of miR-449 and miR-340 play a pivotal role in orchestrating the cell identity of FN-RMS, and the modulation of MPC emerges as a key factor in redirecting FN-RMS towards a quiescent, non-tumorigenic state.
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Direct links to NCBI, no account and no request form: the whole study as GSE275736_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 8 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1152883 and SRA study SRP528829. Searching any of these in the dataset finder brings you back here.

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