Integrative multi-omic analysis identifies new drivers and pathways in molecularly distinct subtypes of ALS

Giovanna Morello, Maria Guarnaccia, Antonio Gianmaria Spampinato, Salvatore Salomone, Velia D’Agata, Francesca Luisa Conforti, Eleonora Aronica, Sebastiano Cavallaro

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Amyotrophic lateral sclerosis (ALS) is an incurable and fatal neurodegenerative disease. Increasing the chances of success for future clinical strategies requires more in-depth knowledge of the molecular basis underlying disease heterogeneity. We recently laid the foundation for a molecular taxonomy of ALS by whole-genome expression profiling of motor cortex from sporadic ALS (SALS) patients. Here, we analyzed copy number variants (CNVs) occurring in the same patients, by using a customized exon-centered comparative genomic hybridization array (aCGH) covering a large panel of ALS-related genes. A large number of novel and known disease-associated CNVs were detected in SALS samples, including several subgroup-specific loci, suggestive of a great divergence of two subgroups at the molecular level. Integrative analysis of copy number profiles with their associated transcriptomic data revealed subtype-specific genomic perturbations and candidate driver genes positively correlated with transcriptional signatures, suggesting a strong interaction between genomic and transcriptomic events in ALS pathogenesis. The functional analysis confirmed our previous pathway-based characterization of SALS subtypes and identified 24 potential candidates for genomic-based patient stratification. To our knowledge, this is the first comprehensive “omics” analysis of molecular events characterizing SALS pathology, providing a road map to facilitate genome-guided personalized diagnosis and treatments for this devastating disease.
Original languageEnglish
Article number9968
JournalScientific Reports
Volume9
Issue number1
DOIs
Publication statusPublished - 1 Dec 2019
Externally publishedYes

Cite this

Morello, G., Guarnaccia, M., Spampinato, A. G., Salomone, S., D’Agata, V., Conforti, F. L., ... Cavallaro, S. (2019). Integrative multi-omic analysis identifies new drivers and pathways in molecularly distinct subtypes of ALS. Scientific Reports, 9(1), [9968]. https://doi.org/10.1038/s41598-019-46355-w