Novel experimental strategies to characterize the genomic architecture of monogenic autoinflammatory diseases: from characterization of aberrant mRNA transcripts to elucidation of the role of post-zygotic variants in desease pathogenesis

Developments in sequencing technologies over the last decade have revolutionized the ability to identify the genetic mechanisms underlying rare autoinflammatory diseases (AIDs), enabling improved characterization and diagnosis. This PhD thesis combines the knowledge and application of the latest met...

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Detalles Bibliográficos
Autor: Bonet Martín, Núria
Tipo de recurso: tesis doctoral
Estado:Versión publicada
Fecha de publicación:2025
País:España
Institución:CBUC, CESCA
Repositorio:TDR. Tesis Doctorales en Red
OAI Identifier:oai:www.tdx.cat:10803/693691
Acceso en línea:http://hdl.handle.net/10803/693691
Access Level:acceso abierto
Palabra clave:Malalties autoinflamatòries
Anàlisi genòmica
Seqüenciació ARN
Mosaicisme
Noves tecnologies de seqüenciació
Autoinflammatory diseases
Genomic analysis
RNA sequencing
Mosaicism
New sequencing technologies
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Descripción
Sumario:Developments in sequencing technologies over the last decade have revolutionized the ability to identify the genetic mechanisms underlying rare autoinflammatory diseases (AIDs), enabling improved characterization and diagnosis. This PhD thesis combines the knowledge and application of the latest methodologies of genomic analyses to identify and characterize the genetic causes of different AIDs. The two main areas of interest of this work include the identification of transcript isoforms through mRNA sequencing and the evaluation of mosaicism in genetic diseases caused by somatic DNA variants. First, we demonstrated the impact of two novel variants in the IL1RN gene as the cause of DIRA in a family with two patients presenting with a severe, neonatal-onset and lethal undiagnosed inflammatory disease. Second, we conducted the most extensive longitudinal study in a cohort of CAPS patients with post-zygotic NLRP3 variants. Additionally, we characterized two transcript isoforms resulting from a novel somatic variant at a splice site of the UBA1 gene, which has been identified as causative of VEXAS syndrome. And finally, we implemented and validated innovative methodologies, including single-cell RNA sequencing, digital PCR, and adaptive sampling using Oxford Nanopore Technologies.