Biology subjects

Leysen, E.

Publications and source records attributed to Leysen, E..

3 recordsLinked to original sources

bioRxiv2024

Cell-surface receptor-mediated regulation of synaptic organelle distribution controls dendritic spine maturation

The spine apparatus (SA), an endoplasmic reticulum-related organelle present in a subset of mature dendritic spines, plays a key role in postsynaptic development and has been implicated in various neurological disorders. However, the molecular mechanisms that dictate SA localization at selected synapses remain elusive. Here, we identify a postsynaptic signaling complex comprising the GPCR-like receptor GPR158 and a largely uncharacterized phospholipase C (PLC), PLCXD2, that controls SA abundance. Sparse genetic manipulations in vivo demonstrate that in the absence of GPR158, unrestrained PLCXD2 activity impedes postsynaptic SA incorporation and hampers dendritic spine maturation. Finally, we show that extracellular heparan sulfate proteoglycan (HSPG) binding modulates the GPR158-PLCXD2 interaction. Together, our findings reveal how a postsynaptic receptor signaling complex regulates the local lipid microenvironment to control SA abundance required for the proper maturation of dendritic spines.

neuroscience↗

bioRxiv2024

Enhancer-driven cell type comparison reveals similarities between the mammalian and bird pallium

Combinations of transcription factors govern the identity of cell types, which is reflected by enhancer codes in cis-regulatory genomic regions. Cell type-specific enhancer codes at nucleotide-level resolution have not yet been characterized for the mammalian neocortex. It is currently unknown whether these codes are conserved in other vertebrate brains, and whether they are informative to resolve homology relationships for species that lack a neocortex such as birds. To compare enhancer codes of cell types from the mammalian neocortex with those from the bird pallium, we generated single-cell multiome and spatially-resolved transcriptomics data of the chicken telencephalon. We then trained deep learning models to characterize cell type-specific enhancer codes for the human, mouse, and chicken telencephalon. We devised three metrics that exploit enhancer codes to compare cell types between species. Based on these metrics, non-neuronal and GABAergic cell types show a high degree of regulatory similarity across vertebrates. Proposed homologies between mammalian neocortical and avian pallial excitatory neurons are still debated. Our enhancer code based comparison shows that excitatory neurons of the mammalian neocortex and the avian pallium exhibit a higher degree of divergence than other cell types. In contrast to existing evolutionary models, the mammalian deep layer excitatory neurons are most similar to mesopallial neurons; and mammalian upper layer neurons to hyper- and nidopallial neurons based on their enhancer codes. In addition to characterizing the enhancer codes in the mammalian and avian telencephalon, and revealing unexpected correspondences between cell types of the mammalian neocortex and the chicken pallium, we present generally applicable deep learning approaches to characterize and compare cell types across species via the genomic regulatory code.

genomics↗

bioRxiv2024

Decoding Cortical Circuits: Synaptic Signatures and Disease Vulnerabilities of Layer 5 Pyramidal Neuron Types

Cortical layer 5 (L5) intratelencephalic (IT) and pyramidal tract (PT) neurons are embedded in distinct information processing pathways. The morphology, connectivity, electrophysiological properties, and role in behavior of these neurons have been extensively analyzed. However, the molecular composition of their synapses remains largely uncharacterized. Here, we dissect the protein composition of the excitatory postsynaptic compartment of L5 neurons in intact somatosensory circuits, using an optimized proximity biotinylation workflow with subsynaptic resolution. We find distinct synaptic signatures of L5 IT and PT neurons that are defined by proteins regulating synaptic organization and transmission, including cell-surface proteins (CSPs), neurotransmitter receptors and ion channels. In addition, we find a differential vulnerability to disease, with a marked enrichment of autism risk genes in the synaptic signature of L5 IT neurons compared to PT neurons. Our results align with human studies and suggest that the excitatory postsynaptic compartment of L5 IT neurons is notably susceptible in autism. Together, our analysis sheds light on the proteins that regulate synaptic organization and function of L5 neuron types and contribute to their susceptibility in disease. Our approach is versatile and can be broadly applied to other neuron types to create a protein-based, synaptic atlas of cortical circuits.

neuroscience↗