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

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 pr...

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Autores principales: Falzarano, Maria S., Grilli, Andrea, Zia, Silvia, Fang, Mingyan, Rossi, Rachele, Gualandi, Francesca, Rimessi, Paola, El Dani, Reem, Fabris, Marina, Lu, Zhiyuan, Li, Wenyan, Mongini, Tiziana, Ricci, Federica, Pegoraro, Elena, Bello, Luca, Barp, Andrea, Sansone, Valeria A., Hegde, Madhuri, Roda, Barbara, Reschiglian, Pierluigi, Bicciato, Silvio, Selvatici, Rita, Ferlini, Alessandra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8756543/
https://www.ncbi.nlm.nih.gov/pubmed/35047845
http://dx.doi.org/10.1016/j.xhgg.2021.100054
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author Falzarano, Maria S.
Grilli, Andrea
Zia, Silvia
Fang, Mingyan
Rossi, Rachele
Gualandi, Francesca
Rimessi, Paola
El Dani, Reem
Fabris, Marina
Lu, Zhiyuan
Li, Wenyan
Mongini, Tiziana
Ricci, Federica
Pegoraro, Elena
Bello, Luca
Barp, Andrea
Sansone, Valeria A.
Hegde, Madhuri
Roda, Barbara
Reschiglian, Pierluigi
Bicciato, Silvio
Selvatici, Rita
Ferlini, Alessandra
author_facet Falzarano, Maria S.
Grilli, Andrea
Zia, Silvia
Fang, Mingyan
Rossi, Rachele
Gualandi, Francesca
Rimessi, Paola
El Dani, Reem
Fabris, Marina
Lu, Zhiyuan
Li, Wenyan
Mongini, Tiziana
Ricci, Federica
Pegoraro, Elena
Bello, Luca
Barp, Andrea
Sansone, Valeria A.
Hegde, Madhuri
Roda, Barbara
Reschiglian, Pierluigi
Bicciato, Silvio
Selvatici, Rita
Ferlini, Alessandra
author_sort Falzarano, Maria S.
collection PubMed
description 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.
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spelling pubmed-87565432022-01-18 RNA-seq in DMD urinary stem cells recognized muscle-related transcription signatures and addressed the identification of atypical mutations by whole-genome sequencing Falzarano, Maria S. Grilli, Andrea Zia, Silvia Fang, Mingyan Rossi, Rachele Gualandi, Francesca Rimessi, Paola El Dani, Reem Fabris, Marina Lu, Zhiyuan Li, Wenyan Mongini, Tiziana Ricci, Federica Pegoraro, Elena Bello, Luca Barp, Andrea Sansone, Valeria A. Hegde, Madhuri Roda, Barbara Reschiglian, Pierluigi Bicciato, Silvio Selvatici, Rita Ferlini, Alessandra HGG Adv Article 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. Elsevier 2021-08-24 /pmc/articles/PMC8756543/ /pubmed/35047845 http://dx.doi.org/10.1016/j.xhgg.2021.100054 Text en © 2021 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Falzarano, Maria S.
Grilli, Andrea
Zia, Silvia
Fang, Mingyan
Rossi, Rachele
Gualandi, Francesca
Rimessi, Paola
El Dani, Reem
Fabris, Marina
Lu, Zhiyuan
Li, Wenyan
Mongini, Tiziana
Ricci, Federica
Pegoraro, Elena
Bello, Luca
Barp, Andrea
Sansone, Valeria A.
Hegde, Madhuri
Roda, Barbara
Reschiglian, Pierluigi
Bicciato, Silvio
Selvatici, Rita
Ferlini, Alessandra
RNA-seq in DMD urinary stem cells recognized muscle-related transcription signatures and addressed the identification of atypical mutations by whole-genome sequencing
title RNA-seq in DMD urinary stem cells recognized muscle-related transcription signatures and addressed the identification of atypical mutations by whole-genome sequencing
title_full RNA-seq in DMD urinary stem cells recognized muscle-related transcription signatures and addressed the identification of atypical mutations by whole-genome sequencing
title_fullStr RNA-seq in DMD urinary stem cells recognized muscle-related transcription signatures and addressed the identification of atypical mutations by whole-genome sequencing
title_full_unstemmed RNA-seq in DMD urinary stem cells recognized muscle-related transcription signatures and addressed the identification of atypical mutations by whole-genome sequencing
title_short RNA-seq in DMD urinary stem cells recognized muscle-related transcription signatures and addressed the identification of atypical mutations by whole-genome sequencing
title_sort rna-seq in dmd urinary stem cells recognized muscle-related transcription signatures and addressed the identification of atypical mutations by whole-genome sequencing
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8756543/
https://www.ncbi.nlm.nih.gov/pubmed/35047845
http://dx.doi.org/10.1016/j.xhgg.2021.100054
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