Loss of the extracellular matrix protein Perlecan disrupts axonal and synaptic stability during Drosophila development
Guss, E. J.; Akbergenova, Y.; Cunningham, K. L.; Littleton, J. T.
Show abstract
Heparan sulfate proteoglycans (HSPGs) form essential components of the extracellular matrix (ECM) and basement membrane (BM) and have both structural and signaling roles. Perlecan is a secreted ECM-localized HSPG that contributes to tissue integrity and cell-cell communication. Although a core component of the ECM, the role of Perlecan in neuronal structure and function is less understood. Here we identify a role for Drosophila Perlecan in the maintenance of larval motoneuron axonal and synaptic stability. Loss of Perlecan causes alterations in the axonal cytoskeleton, followed by axonal breakage and synaptic retraction of neuromuscular junctions. These phenotypes are not prevented by blocking Wallerian degeneration and are independent of Perlecans role in Wingless signaling. Expression of Perlecan solely in motoneurons cannot rescue synaptic retraction phenotypes. Similarly, removing Perlecan specifically from neurons, glia or muscle does not cause synaptic retraction, indicating the protein is secreted from multiple cell types and functions non-cell autonomously. Within the peripheral nervous system, Perlecan predominantly localizes to the neural lamella, a specialized ECM surrounding nerve bundles. Indeed, the neural lamella is disrupted in the absence of Perlecan, with axons occasionally exiting their usual boundary in the nerve bundle. In addition, entire nerve bundles degenerate in a temporally coordinated manner across individual hemi-segments throughout larval development. These observations indicate disruption of neural lamella ECM function triggers axonal destabilization and synaptic retraction of motoneurons, revealing a role for Perlecan in axonal and synaptic integrity during nervous system development.
Matching journals
The top 2 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Sticks and Stones, a conserved cell surface ligand for the Type IIa RPTP Lar, regulates neural circuit wiring in Drosophila 98%
- Presynaptic contact and activity opposingly regulate postsynaptic dendrite outgrowth 97%
- Specific presynaptic functions require distinct Drosophila Cav2 splice isoforms 97%
Similar papers in this journal
- Synaptic plasticity induced by differential manipulation of tonic and phasic motoneurons in Drosophila 98%
- Structural and functional synaptic plasticity induced by convergent synapse loss requires co-innervation in the Drosophila neuromuscular circuit 97%
- UNC-2 CaV2 channel localization at presynaptic active zones depends on UNC-10/RIM and SYD-2/Liprin-α in Caenorhabditis elegans. 96%
Similar papers in this journal
- Muscle cofilin alters neuromuscular junction postsynaptic development to strengthen functional neurotransmission 98%
- Agrin/Lrp4 signal constrains MuSK activity during neuromuscular synapse development in appendicular muscle 97%
- Discoidin domain receptor regulates ensheathment, survival, and caliber of peripheral axons 96%
Similar papers in this journal
- A transient apical extracellular matrix relays cytoskeletal patterns to shape permanent acellular ridges on the surface of adult C. elegans 96%
- CASK and FARP localize two classes of post-synaptic ACh receptors thereby promoting cholinergic transmission 96%
- Caenorhabditis elegans LET-413 Scribble is essential in the epidermis for growth, viability, and directional outgrowth of epithelial seam cells 96%
Similar papers in this journal
- The histone demethylase KDM5 is required for synaptic structure and function at the Drosophila neuromuscular junction 98%
- Rab2 drives axonal transport of dense core vesicles and lysosomal organelles 96%
- Affinity Requirements For Control Of Synaptic Targeting And Neuronal Cell Survival By Heterophilic IgSF Cell Adhesion Molecules 96%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.