bioRxivNeurosciencePreprint
Generation of C9orf72 repeat knock-in iPSC lines for modelling ALS and FTD
Rachel ConeysiD, Alexander J. CammackiD, R. NairiD, David ThompsoniD, Jonas MechtersheimeriD, Mireia CarcoléiD, Yashica Gupta, Gabriel Eduardo RechiD, Michael D. FloweriD, Niamh Louise O’BrieniD, Marc‐David RueppiD, Sarah MizielinskaiD, Fiona DucotterdiD, Sarah J. TabriziiD, Elizabeth FisheriD, Thomas J. CunninghamiD, Michael Emmerson WardiD, William C. SkarnesiD, Adrian M. IsaacsiD
- Citations
- 4
Abstract
Induced pluripotent stem cell (iPSC) models are powerful tools for neurodegenerative disease modelling, as they allow mechanistic studies in a human genetic environment and they can be differentiated into a range of neuronal and non-neuronal cells. However, these models come with inherent challenges due to line-to-line and clonal variability. To combat this issue, the iPSC Neurodegenerative Disease Initiative (iNDI) has generated an iPSC repository using a single clonal reference line, KOLF2.1J, into which disease-causing mutations and revertants are introduced via gene editing. Here we describe the generation and validation of lines carrying the most common causative mutation for amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD), a repeat expansion in the C9orf72 gene, for the iNDI collection of neurodegenerative iPSC models. We demonstrate that these C9orf72 knock-in lines differentiate efficiently into neurons and display characteristic C9orf72-associated pathologies, including reduced C9orf72 levels and the presence of dipeptide repeat proteins (DPRs) and RNA foci, which increase in abundance over time in culture. These pathologies are not present in revertant cells lacking the repeat expansion. These repeat expansion and revertant cell lines are now available to academic and for-profit institutions through the JAX iPS cell repository and will help to facilitate and standardise iPSC-based ALS/FTD research.
- organism: human
- research focus: cell type annotation
- research focus: differential expression
- approach: experimental assay
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