Biology subjects

Lefever, L.

Publications and source records attributed to Lefever, L..

3 recordsLinked to original sources

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↗

bioRxiv2026

LFQ Benchmark Dataset - Generation Beta: Assessing Modern Proteomics Instruments and Acquisition Workflows with High-Throughput LC Gradients

Recent advances in liquid chromatography-mass spectrometry (LC-MS) have accelerated the adoption of high-throughput workflows that deliver deep proteome coverage using minimal sample amounts. This trend is largely driven by clinical and single-cell proteomics, where sensitivity and reproducibility are essential. Here, we extend our previous benchmark dataset (PXD028735) using next-generation LC-MS platforms optimized for rapid proteome analysis. We generated an extensive DDA/DIA dataset using a human-yeast-E. coli hybrid proteome. The proteome sample was distributed across multiple laboratories together with standardized analytical protocols specifying two short LC gradients (5 and 15 min) and low sample input amounts. This dataset includes data acquired on four different platforms, and features new scanning quadrupole-based implementations, extending coverage across different instruments and acquisition strategies. Our comprehensive evaluation highlights how technological advances and reduced LC gradients may affect proteome depth, quantitative precision, and cross-instrument consistency. The release of this benchmark dataset via ProteomeXchange (PXD070049 and PXD071205), allows for the acceleration of cross-platform algorithm development, enhance data mining strategies, and supports standardization of short-gradient, high-throughput LC-MS-based proteomics.

bioinformatics↗

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↗