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Data for "Synapses without Tension Fail to Fire in an In Vitro Network of Hippocampal Neurons."

<p>Neurons in the brain communicate with each other at their synapses. It has long been understood that this communication occurs through biochemical processes. Here, we reveal a previously unrecognized paradigm wherein mechanical tension in neurons is essential for communication. Using <em>in vitro</em> rat hippocampal neurons, we find that (1) neurons become tout/tensed after forming synapses resulting in a contractile neural network, and (2) without this contractility, neurons fail to fire. To measure time evolution of network contractility in 3D (<em>not</em> 2D) extracellular matrix, we developed an ultra-sensitive force sensor with 1 nN resolution. We employed Multi-Electrode Array (MEA) and iGluSnFR, a glutamate sensor, to quantify neuronal firing at the network and at the single synapse scale, respectively. When neuron contractility is relaxed, both techniques show significantly reduced firing. Firing resumes when contractility is restored. This discovery highlights the essential contribution of neural contractility in fundamental brain functions and has implications for our understanding of neuronal physiology.</p>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
16
Reuse readiness
8
Engagement
4

Dataset details

Repository
zenodo
Published
September 27, 2023
License
cc-by-3.0-us
DOI
10.5281/zenodo.8385318

Scored with release 0.9.0

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