bioRxivGenomicsPreprint
Dissecting the biological impact of GBA1 mutations using multi-omics in an isogenic setting
Pilar Álvarez JereziD, Peter Wild CreaiD, Dhairya Patel, Logan M. Glasstetter, Christiane Alvarez, Mary B. MakariousiD, Erika Lara, Yu CheniD, Caroline B. PantazisiD, Kimberly PaquetteiD, Laksh MalikiD, Mike A. NallsiD, Xylena ReediD, Andrew SingletoniD, Kimberley J. BillingsleyiD, Justin A. McDonoughiD, Gang NingiD, William C. SkarnesiD, Mina RyteniD, Ellen SidranskyiD, Mark CooksoniD, Sasha Beilina, Cornelis BlauwendraatiD
Abstract
GBA1 is a risk gene for multiple neurodegenerative diseases, including Lewy Body Dementia and Parkinsons disease, and biallelic pathogenic variants in the gene result in the lysosomal storage disorder Gaucher disease. GBA1 encodes the enzyme glucocerebrosidase (GCase), and alterations in the gene result in reduced enzymatic activity, which affects lysosome function downstream. Induced pluripotent stem cells (iPSCs) are a useful tool for testing the functional consequences of gene variants in an isogenic setting. Additionally, they can be used to perform multiomic studies to explore biological effects independent of disease mechanisms. Using CRISPR-edited isogenic KOLF2.1J iPSC lines containing pathogenic GBA1 variants D409H (p.D448H), D409V (p.D448V) and GBA1 knockout line generated by the iPSC Neurodegenerative Disease Initiative (iNDI), we examined potential molecular mechanisms and downstream consequences of GCase reduction. In this study, we confirm that this isogenic series behaves as expected for loss of function variants, despite the known difficulties with GBA1 editing. We identified that there are limited overlapping results across cell types suggesting potential different downstream effects caused by GBA1 variants. Additionally, we note that RNA-based quantitation may not be the best method to characterize GCase mechanisms, but protein and metabolomic analyses may be used to evaluate differences across genotypes.
- organism: human
- assay: bulk RNA-seq
- assay: proteomics
- assay: metabolomics
- research focus: cell type annotation
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: experimental assay
- Citations
- 1
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