Biology subjects

Leysen, E.

Publications and source records attributed to Leysen, E..

7 recordsLinked to original sources

bioRxiv2026

A subtype-specific gene regulatory program controls differential circuit integration of deep CA3 pyramidal neurons

How closely related neuronal subtypes integrate into different circuits remains poorly understood. Deep and superficial hippocampal CA3 pyramidal neurons (PNs) differ in intrinsic firing and mossy fiber (MF) input at specialized postsynaptic structures termed thorny excrescences (TEs). Combining developmental single-nucleus multiomics with genetic targeting, morphological analysis and electrophysiology, we identify the transcription factor ST18 as a regulator of deep CA3 subtype identity. ST18 marks sparsely thorny and burst-firing neurons, and gene regulatory analyses predict that it represses a superficial-associated program involved in dendritic spine development, synaptic organization, and electrophysiological properties. Postnatal ST18 loss shifts the transcriptional and chromatin landscape of deep CA3 PNs toward a superficial-like state. These molecular changes are accompanied by increased TE elaboration approaching superficial levels, enhanced excitatory synaptic activity, and reduced burst-firing. Together, these findings identify ST18-dependent restriction of an alternative subtype program as a mechanism linking molecular identity to distinct input connectivity patterns and intrinsic firing properties during postnatal circuit maturation.

neuroscience↗

bioRxiv2026

A systematic cross-modal approach identifies astrocytic VCAM1 as a regulator of hippocampal synapse development

Astrocyte-mediated cell-cell interactions at synapses are essential for circuit formation, yet the molecular mechanisms underlying astrocyte-mediated regulation of hippocampal synapse development remain incompletely characterized. Here, we take a systematic cross-modal approach to identify novel astrocytic cell surface proteins (CSPs) at the tripartite synapse. By using single-cell spatial transcriptomics (scST) targeting CSPs identified in a previous hippocampal synaptic dataset, we find 10 potential candidate astrocytic CSPs. Subsequent systematic protein-level profiling using multiple antibody-based assays establishes GPR37L1, HepaCAM, and VCAM1 as astrocytic peri-synaptic CSPs. To gain insight into the molecular context in which these proteins operate at synapses, we map their synaptic interaction partners using affinity purification-mass spectrometry (AP-MS), revealing distinct hippocampal synaptic interactomes for GPR37L1 and VCAM1. We then develop a custom multi-metric image-based synapse analysis pipeline to assess the roles of GPR37L1 and VCAM1 in synaptic development, using CRISPR/Cas9-mediated gene knockout (KO) in the mouse hippocampus. While loss of GPR37L1 does not substantially affect excitatory and inhibitory synapses, VCAM1 loss impairs excitatory hippocampal synapse development. Conversely, addition of recombinant VCAM1 to cultured hippocampal neurons increases the density of excitatory synapses. Together, these results identify astrocytic VCAM1 as a regulator of hippocampal synapse development.

neuroscience↗

bioRxiv2025

Intrabody-guided synapse proteomics defines pyramidal neuron input architecture and uncovers early remodeling in a mouse model of Alzheimer's disease

Across their proximal and distal dendritic domains, pyramidal neurons (PNs) integrate inputs that differ in morphology and function. Hippocampal CA1 PNs are among the earliest affected neurons in Alzheimers disease (AD), but the molecular composition of their inputs and selective vulnerability remain poorly defined. We develop an intrabody-guided proximity-labeling strategy that targets the biotin ligase TurboID to endogenous postsynaptic scaffolds for cell-autonomous mapping of postsynaptic proteomes. Targeting PSD95 or Homer1 enables selective labeling of excitatory postsynaptic proteins in mouse CA1 PNs and resolves subsynaptic organization by comparing the two probes. Mapping the proteomes of major CA1 inputs uncovers a proximal-distal molecular logic that underlies their distinct properties. Applying this approach in the AppNL-G-F AD mouse model reveals an early signaling-driven phase of synaptic remodeling followed by a later translation-linked phase, with persistent downregulation of glutamatergic components. These results provide a molecular atlas of CA1 PN inputs and identify stage-specific mechanisms of synaptic vulnerability in early AD.

neuroscience↗

bioRxiv2025

A dynamic gene regulatory code drives synaptic development of hippocampal granule cells

Connecting neurons into functional circuits requires the formation, maturation, and plasticity of synapses. While advances have been made in identifying individual genes regulating synapse development, the molecular programs orchestrating their action during circuit integration of neurons remain poorly understood. Here, we take a multiomic approach to reconstruct gene regulatory networks (GRNs), comprising transcription factors (TFs), regulatory regions, and predicted target genes, in hippocampal granule cells (GCs). We find a dynamic gene regulatory code, with early and late postnatal GRNs regulating cell morphogenesis and synapse organization and plasticity, respectively. Our results predict sequential regulations, with early-active TFs delaying the activation of later GRNs and their putative synaptic targets. Using a loss-of-function approach, we identify Bcl6 as a regulator of pre- and postsynaptic structural maturation, and Smad3 as a modulator of inhibitory synaptic transmission, in GCs. Together, these findings highlight the networks of key TFs and target genes orchestrating GC synapse development.

neuroscience↗

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↗