Biology subjects

Nonaka, D.

Publications and source records attributed to Nonaka, D..

3 recordsLinked to original sources

bioRxiv2025

Phaeochromocytomas and paragangliomas harbour tumour-initiating SOX2+ stem cells

Phaeochromocytomas (PCCs) and paragangliomas (PGLs), are rare neuroendocrine tumours that arise in the neural crest (NC)-derived adrenal medulla and the paraganglia, respectively. Approximately 10%-15% of patients with PCCs and 35%-40% with PGLs go on to develop metastatic disease, leading to a reported median overall survival of 7 years. The development of prognostic markers and subsequent personal therapeutic strategies are hindered by a lack of understanding of tumourigenesis. In other organs, cells with stem-like properties are at the root of tumour initiation and maintenance, due to their ability to self- renew and give rise to differentiated cells. We have recently shown that, in the human adrenal, a subset of sustentacular cells, endowed with a support role, are in fact SOX2+ postnatal adrenomedullary stem cells, that are specified along the neural crest migratory route. In this study, we intended to determine if SOX2+ cells in PCCs and PGLs can behave as tumour-initiating stem cells. Using expression and transcriptomic studies, we demonstrate the presence of SOX2/SOX2-expressing cells across a broad range of PCCs and PGLs, irrespective of tumour aggressiveness, location, and causative mutation. In silico analyses reveal the co-expression of SOX2 and chromaffin cell markers in the tumour, and the active proliferation of these double-positive cells. Isolation of these cells in vitro in stem cell-promoting media, and their xenotransplantation on chicken chorioallantoic membranes, demonstrates that they have the potential to expand and metastasise in ovo, supporting their potential as tumour-initiating cells.

cancer biology↗

bioRxiv2024

Genome-wide analysis of somatic non-coding mutation patterns and mitochondrial heteroplasmy in type B1 and B2 thymomas

IntroductionType B1 and B2 thymomas are lymphocyte-rich malignant tumors with few somatic mutations in protein-coding regions of the nuclear genome; nonetheless, non-coding regions remain uncharacterized. Here, we developed a rigorous tumor isolation method from lymphocyte-rich thymoma tissues and identified somatic mutations in non-coding and mitochondrial DNA. MethodsCD205+CD45- pure tumor cells were isolated from fresh-frozen tissues using DEPArray system. Deep whole-genome sequencing was performed, and recurrent somatic alterations in coding, non-coding, and mitochondria regions were systemically identified by computational framework. The mutations were classified according to gene function, cis-regulatory element, and mutational signature. ResultsThe total number of somatic mutations was approximately 80 times higher in non-coding regions than in coding regions in type B1-2 thymomas (1,671.3 vs. 21.1 per case). Coding mutations were identified in epigenetic regulators, DNA repair genes, and some other genes. Nevertheless, 40% of cases exhibited fewer than four mutations in coding regions. A systematic non-coding analysis identified a total of 405.0 mutations per case on cis-regulatory elements, and detected six recurrent mutations: one interferon regulatory factor (IRF8), two E3 ubiquitin ligases (UBR2 and RNF213), and three intergenic regions. Mitochondrial heteroplasmy was observed in 90% of cases, with a significant proportion of mutations located in D-loop region. The single-base substitution pattern was signature 12. ConclusionsNumerous non-coding mutations and mitochondrial heteroplasmy were detected in type B1 and B2 thymomas. Given the paucity of coding mutations observed in this disease entity, disruption of the non-coding landscape and mitochondrial heteroplasmic shift may be the primary cause of thymoma.

genomics↗

bioRxiv2024

REPrise: de novo interspersed repeat detection using inexact seeding

MotivationInterspersed repeats occupy a large part of many eukaryotic genomes, and thus their accurate annotation is essential for various genome analyses. Database-free de novo repeat detection approaches are powerful for annotating genomes that lack well-curated repeat databases. However, existing tools do not yet have sufficient repeat detection performance. ResultsIn this study, we developed REPrise, a de novo interspersed repeat detection software program based on a seed-and-extension method. Although the algorithm of REPrise is similar to that of RepeatScout, which is currently the de facto standard tool, we incorporated three unique techniques into REPrise: inexact seeding, affine gap scoring and loose masking. Analyses of rice and simulation genome datasets showed that REPrise outperformed RepeatScout in terms of sensitivity, especially when the repeat sequences contained many mutations. Furthermore, when applied to the complete human genome dataset T2T-CHM13, REPrise demonstrated the potential to detect novel repeat sequence families. AvailabilityThe source code of REPrise is freely available at https://github.com/hmdlab/REPrise. Repeat annotations predicted for the T2T genome using REPrise are also available at https://waseda.box.com/v/REPrise-data. Contactfukunaga@aoni.waseda.jp and mhamada@waseda.jp

bioinformatics↗