By the same authors

From the same journal

Co-expression of C9orf72 related dipeptide-repeats over 1000 repeat units reveals age- and combination-specific phenotypic profiles in Drosophila

Research output: Contribution to journalArticlepeer-review


  • Ines Hahn
  • Joanne Sharpe
  • André Voelzmann
  • Anna Munro
  • Richard Baines
  • Stuart Pickering-Brown
  • Ryan West


Publication details

JournalActa neuropathologica communications
DatePublished - 7 Sep 2020
Number of pages19
Original languageEnglish


A large intronic hexanucleotide repeat expansion (GGGGCC) within the C9orf72 (C9orf72-SMCR8 Complex Subunit) locus is the most prevalent genetic cause of both Frontotemporal Dementia (FTD) and Motor Neuron Disease (MND). In patients this expansion is typically hundreds to thousands of repeat units in length. Repeat associated non-AUG translation of the expansion leads to the formation of toxic, pathological Dipeptide-Repeat Proteins (DPRs). To date there remains a lack of in vivo models expressing C9orf72 related DPRs with a repeat length of more than a few hundred repeats. As such our understanding of how physiologically relevant repeat length DPRs effect the nervous system in an ageing in vivo system remains limited. In this study we generated Drosophila models expressing DPRs over 1000 repeat units in length, a known pathological length in humans. Using these models, we demonstrate each DPR exhibits a unique, age-dependent, phenotypic and pathological profile. Furthermore, we show co-expression of specific DPR combinations leads to distinct, age-dependent, phenotypes not observed through expression of single DPRs. We propose these models represent a unique, in vivo, tool for dissecting the molecular mechanisms implicated in disease pathology, opening up new avenues in the study of both MND and FTD.

    Research areas

  • Drosophila, Frontotermporal dementia, FTD, MND, dipeptide repeat proteins, C9orf72, ALS

Discover related content

Find related publications, people, projects, datasets and more using interactive charts.

View graph of relations