RNA-seq in DMD urinary stem cells recognized muscle-related transcription signatures and addressed the identification of atypical mutations by whole-genome sequencing
Maria S. Falzarano,
Andrea Grilli,
Silvia Zia,
Mingyan Fang,
Rachele Rossi,
Francesca Gualandi,
Paola Rimessi,
Reem El Dani,
Marina Fabris,
Zhiyuan Lu,
Wenyan Li,
Tiziana Mongini,
Federica Ricci,
Elena Pegoraro,
Luca Bello,
Andrea Barp,
Valeria A. Sansone,
Madhuri Hegde,
Barbara Roda,
Pierluigi Reschiglian,
Silvio Bicciato,
Rita Selvatici,
Alessandra Ferlini
Affiliations
Maria S. Falzarano
Department of Medical Sciences, Unit of Medical Genetics, University of Ferrara, Ferrara 44121, Italy
Andrea Grilli
Department of Life Sciences, University of Modena and Reggio Emilia, Modena 41121, Italy
Silvia Zia
Stem Sel s.r.l., Bologna 40127, Italy
Mingyan Fang
BGI-Shenzhen, Shenzhen 518083, China
Rachele Rossi
Department of Medical Sciences, Unit of Medical Genetics, University of Ferrara, Ferrara 44121, Italy
Francesca Gualandi
Department of Medical Sciences, Unit of Medical Genetics, University of Ferrara, Ferrara 44121, Italy
Paola Rimessi
Department of Medical Sciences, Unit of Medical Genetics, University of Ferrara, Ferrara 44121, Italy
Reem El Dani
Department of Medical Sciences, Unit of Medical Genetics, University of Ferrara, Ferrara 44121, Italy
Marina Fabris
Department of Medical Sciences, Unit of Medical Genetics, University of Ferrara, Ferrara 44121, Italy
Zhiyuan Lu
BGI-Shenzhen, Shenzhen 518083, China
Wenyan Li
BGI-Shenzhen, Shenzhen 518083, China
Tiziana Mongini
Policlinico Le Molinette, Torino 10126, Italy
Federica Ricci
Policlinico Le Molinette, Torino 10126, Italy
Elena Pegoraro
ERN Neuromuscular Center, Department of Neurosciences, Unit of Neurology, University of Padua, Padua 35122, Italy
Luca Bello
ERN Neuromuscular Center, Department of Neurosciences, Unit of Neurology, University of Padua, Padua 35122, Italy
Andrea Barp
The NEMO Clinical Center, Neurorehabilitation Unit, University of Milan, Milan 20162, Italy
Valeria A. Sansone
The NEMO Clinical Center, Neurorehabilitation Unit, University of Milan, Milan 20162, Italy
Madhuri Hegde
PerkinElmer Genomics, 3950 Shackleford Rd., Ste. 195, Duluth, GA 30096, USA
Barbara Roda
Stem Sel s.r.l., Bologna 40127, Italy; Department of Chemistry “G. Ciamician,” University of Bologna, Bologna 40126, Italy
Pierluigi Reschiglian
Stem Sel s.r.l., Bologna 40127, Italy; Department of Chemistry “G. Ciamician,” University of Bologna, Bologna 40126, Italy
Silvio Bicciato
Department of Life Sciences, University of Modena and Reggio Emilia, Modena 41121, Italy
Rita Selvatici
Department of Medical Sciences, Unit of Medical Genetics, University of Ferrara, Ferrara 44121, Italy
Alessandra Ferlini
Department of Medical Sciences, Unit of Medical Genetics, University of Ferrara, Ferrara 44121, Italy; Corresponding author
Summary: 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.