ArticleInvertebrate neuroscience : IN2020
Aging and disease-relevant gene products in the neuronal transcriptome of the great pond snail (Lymnaea stagnalis): a potential model of aging, age-related memory loss, and neurodegenerative diseases.
Article in Invertebrate neuroscience : IN, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 22 citations in OpenAlex.
- Drug discovery and development for Parkinson's disease: are preclinical models good enough?Frontiers in aging neuroscience · 2025Review
- Identification and characterization of the kynurenine pathway in the pond snail Lymnaea stagnalis.Scientific reports · 2022Article
- Transcriptome analysis provides genome annotation and expression profiles in the central nervous system of Lymnaea stagnalis at different ages.BMC genomics · 2021Article
- What can we teach Lymnaea and what can Lymnaea teach us?Biological reviews of the Cambridge Philosophical Society · 2021Review
- Mobilizing molluscan models and genomes in biology.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021Article
- The pond snail Lymnaea stagnalis.EvoDevo · 2020Review
- Recombinant human gelsolin promotes the migration of human articular cartilage chondrocytes by regulating gene expressionOsteoarthritis and cartilage open · 2020Article
- The unlimited potential of the great pond snail,eLife · 2020Article
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Authors and funding
5 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Modelling of human aging, age-related memory loss, and neurodegenerative diseases has developed into a progressive area in invertebrate neuroscience. Gold standard molluscan neuroscience models such as the sea hare (Aplysia californica) and the great pond snail (Lymnaea stagnalis) have proven to be attractive alternatives for studying these processes. Until now, A. californica has been the workhorse due to the enormous set of publicly available transcriptome and genome data. However, with growing sequence data, L. stagnalis has started to catch up with A. californica in this respect. To contribute to this and inspire researchers to use molluscan species for modelling normal biological aging and/or neurodegenerative diseases, we sequenced the whole transcriptome of the central nervous system of L. stagnalis and screened for the evolutionary conserved homolog sequences involved in aging and neurodegenerative/other diseases. Several relevant molecules were identified, including for example gelsolin, presenilin, huntingtin, Parkinson disease protein 7/Protein deglycase DJ-1, and amyloid precursor protein, thus providing a stable genetic background for L. stagnalis in this field. Our study supports the notion that molluscan species are highly suitable for studying molecular, cellular, and circuit mechanisms of the mentioned neurophysiological and neuropathological processes.
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