Systematic quantification of synapses in primary neuronal culture

preprint OA: closed
📄 Open PDF View at publisher

Abstract

A vast set of neurological disorders is associated with impaired synaptic connectivity. Therefore, modulation of synapse formation could have therapeutic relevance. However, the high density and small size of synapses make their quantification a challenging task. To improve the reliability of synapse-oriented drug screens, we evaluated a panel of synapse-targeting antibodies for their labeling specificity on hippocampal and cortical cell cultures using quantitative immunofluorescence microscopy. For those antibodies that passed multiparametric validation, we assessed pairwise colocalization, an often-used readout for established synapses. We found that even when two pan-synaptic markers were used, the overlap was incomplete, and the presence of spurious signals limited the dynamic range. To circumvent this problem, we implemented a proximity ligation-based approach, that only leads to a signal when two pre- and postsynaptic markers are sufficiently close. We demonstrate that this approach can be applied to different synaptic marker combinations and can be successfully used for quantification of synapse density in cultures of different maturity stage in healthy or pathological conditions. Thus, the unbiased analysis of synapse labeling and exploitation of resident protein proximity, allows increasing the sensitivity of synapse quantifications in neuronal culture and therefore represents a valuable extension of the analytical toolset for in vitro synapse screens.

My notes (saved in your browser only)

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. The paper's references may be in our DB but unresolved to ``paper_id`` (resolution happens at ingest when the cited DOI matches a row we already have). Run the cross-source citation reconcile pass to retry.

Source provenance

europepmc
last seen: 2026-05-19T01:45:01.086888+00:00
unpaywall
last seen: 2026-06-02T02:00:03.124865+00:00