Urinary stem cells (USCs) are a non-invasive, simple, and affordable cell source to study human diseases. Here we show that USCs are a versatile tool for studying Duchenne muscular dystrophy (DMD), since they are able to address RNA signatures and atypical mutation identification. Gene expression profiling of DMD individuals’ USCs revealed a profound deregulation of inflammation, muscle development, and metabolic pathways that mirrors the known transcriptional landscape of DMD muscle and worsens following USCs’ myogenic transformation. This pathogenic transcription signature was reverted by an exon-skipping corrective approach, suggesting the utility of USCs in monitoring DMD antisense therapy. The full DMD transcript profile performed in USCs from three undiagnosed DMD individuals addressed three splicing abnormalities, which were decrypted and confirmed as pathogenic variations by whole-genome sequencing (WGS). This combined genomic approach allowed the identification of three atypical and complex DMD mutations due to a deep intronic variation and two large inversions, respectively. All three mutations affect DMD gene splicing and cause a lack of dystrophin protein production, and one of these also generates unique fusion genes and transcripts. Further characterization of USCs using a novel cell-sorting technology (Celector) highlighted cell-type variability and the representation of cell-specific DMD isoforms. Our comprehensive approach to USCs unraveled RNA, DNA, and cell-specific features and demonstrated that USCs are a robust tool for studying and diagnosing DMD.

RNA-seq in DMD urinary stem cells recognized muscle-related transcription signatures and addressed the identification of atypical mutations by whole-genome sequencing / Falzarano, M. S.; Grilli, A.; Zia, S.; Fang, M.; Rossi, R.; Gualandi, F.; Rimessi, P.; El Dani, R.; Fabris, M.; Lu, Z.; Li, W.; Mongini, T.; Ricci, F.; Pegoraro, E.; Bello, L.; Barp, A.; Sansone, V. A.; Hegde, M.; Roda, B.; Reschiglian, P.; Bicciato, S.; Selvatici, R.; Ferlini, A.. - In: HGG ADVANCES. - ISSN 2666-2477. - 3:1(2022), pp. 100054-N/A. [10.1016/j.xhgg.2021.100054]

RNA-seq in DMD urinary stem cells recognized muscle-related transcription signatures and addressed the identification of atypical mutations by whole-genome sequencing

Grilli A.;Bicciato S.;
2022

Abstract

Urinary stem cells (USCs) are a non-invasive, simple, and affordable cell source to study human diseases. Here we show that USCs are a versatile tool for studying Duchenne muscular dystrophy (DMD), since they are able to address RNA signatures and atypical mutation identification. Gene expression profiling of DMD individuals’ USCs revealed a profound deregulation of inflammation, muscle development, and metabolic pathways that mirrors the known transcriptional landscape of DMD muscle and worsens following USCs’ myogenic transformation. This pathogenic transcription signature was reverted by an exon-skipping corrective approach, suggesting the utility of USCs in monitoring DMD antisense therapy. The full DMD transcript profile performed in USCs from three undiagnosed DMD individuals addressed three splicing abnormalities, which were decrypted and confirmed as pathogenic variations by whole-genome sequencing (WGS). This combined genomic approach allowed the identification of three atypical and complex DMD mutations due to a deep intronic variation and two large inversions, respectively. All three mutations affect DMD gene splicing and cause a lack of dystrophin protein production, and one of these also generates unique fusion genes and transcripts. Further characterization of USCs using a novel cell-sorting technology (Celector) highlighted cell-type variability and the representation of cell-specific DMD isoforms. Our comprehensive approach to USCs unraveled RNA, DNA, and cell-specific features and demonstrated that USCs are a robust tool for studying and diagnosing DMD.
2022
3
1
100054
N/A
RNA-seq in DMD urinary stem cells recognized muscle-related transcription signatures and addressed the identification of atypical mutations by whole-genome sequencing / Falzarano, M. S.; Grilli, A.; Zia, S.; Fang, M.; Rossi, R.; Gualandi, F.; Rimessi, P.; El Dani, R.; Fabris, M.; Lu, Z.; Li, W.; Mongini, T.; Ricci, F.; Pegoraro, E.; Bello, L.; Barp, A.; Sansone, V. A.; Hegde, M.; Roda, B.; Reschiglian, P.; Bicciato, S.; Selvatici, R.; Ferlini, A.. - In: HGG ADVANCES. - ISSN 2666-2477. - 3:1(2022), pp. 100054-N/A. [10.1016/j.xhgg.2021.100054]
Falzarano, M. S.; Grilli, A.; Zia, S.; Fang, M.; Rossi, R.; Gualandi, F.; Rimessi, P.; El Dani, R.; Fabris, M.; Lu, Z.; Li, W.; Mongini, T.; Ricci, F.; Pegoraro, E.; Bello, L.; Barp, A.; Sansone, V. A.; Hegde, M.; Roda, B.; Reschiglian, P.; Bicciato, S.; Selvatici, R.; Ferlini, A.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1281902
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