bioRxivCancer BiologyPreprint
Two opposing gene expression patterns within ATRX aberrant neuroblastoma
M. R. van Gerven, L. Schild, J. van Arkel, B. Koopmans, L. A. Broeils, L. A. M. Meijs, R. van Oosterhout, M. M. van Noesel, J. Koster, S. R. van Hooff, J. J. Molenaar, M. van den Boogaard
Abstract
Neuroblastoma is the most common extracranial solid tumor in children. A subgroup of high-risk patients is characterized by aberrations in the chromatin remodeller ATRX that is encoded by 35 exons. In contrast to other pediatric cancer where ATRX point mutations are most frequent, multi-exon deletions (MEDs) are the most frequent type of ATRX aberrations in neuroblastoma. Of these MEDs 75% are predicted to produce in-frame fusion proteins, suggesting a potential gain-of-function effect compared to nonsense mutations. For neuroblastoma there are only a few patient-derived ATRX aberrant models. Therefore, we created isogenic ATRX aberrant models using CRISPR-Cas9 in several neuroblastoma cell lines and one tumoroid and performed total RNA-sequencing on these and on the patient-derived model. Gene set enrichment analysis (GSEA) showed decreased expression of genes related to both ribosome biogenesis and several metabolic process in our isogenic ATRX exon 2-10 MED model systems, the patient-derived MED models and in tumor data containing two patients with an ATRX exon 2-10 MED. Interestingly, for our isogenic ATRX knock-out and exon 2-13 MED models GSEA revealed an opposite expression pattern characterized by increased expression of genes related to ribosome biogenesis and several metabolic process. Our validations confirmed a potential role of ATRX in the regulation of ribosome homeostasis. In this manner we identified two distinct molecular expression patterns within ATRX aberrant neuroblastomas with important implications for the need of distinct treatment regimens.
- organism: human
- assay: bulk RNA-seq
- research focus: cell type annotation
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: experimental assay
- approach: statistical model
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