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Risk and modifying factors in Frontotemporal Dementia

Understanding the molecular mechanisms underlying frontotemporal dementia (FTD) is essential for the development of successful therapies. Here, we present Phase 1 of a multi-omics, multi-model data resource for FTD research which will allows in-depth molecular research into these mechanisms. We have integrated and analysed data from the frontal lobe of FTD patients with mutations in MAPT, GRN and C9orf72 and detected common and distinct dysregulated cellular pathways. Our results highlight that excitatory neurons are the most vulnerable neuronal cell type and that vascular aberrations are a common hallmark in FTD. Via integration of multi-omics data, we detected several transcription factors and pathways which regulate the strong neuroinflammation observed in FTD-GRN. Finally, using small RNA-seq data and verification experiments in cellular models, we identified several up-regulated miRNAs that inhibit cellular trafficking pathways in FTD and lead to microglial activation. In this work we shed light on novel mechanistic and pathophysiological hallmarks of FTD. In addition, we believe that this comprehensive, multi-omics data resource will further mechanistic FTD research by the community.

Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data

Dataset ID Description Technology Samples
EGAD00001006842 NextSeq 550 30
EGAD00001006843 Illumina HiSeq 2000 57
EGAD00001006844 NextSeq 550 15
EGAD00001006845 NextSeq 550 33
EGAD00001006846 NextSeq 550 9
EGAD00001008014 Illumina HiSeq 2500 NextSeq 550 47
EGAD00010002055 Illumina Infinium MethylationEPIC BeadChip 47
Publications Citations
Pathogen detection in RNA-seq data with Pathonoia.
BMC Bioinformatics 24: 2023 53
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