Back

Long-term editing of brain circuits in mice using an engineered electrical synapse

Ransey, E.; Thomas, G.; Wisdom, E.; Almoril-Porras, A.; Bowman, R.; Adamson, E.; Walder-Christensen, K. K.; White, J. A.; Hughes, D. N.; Schwennesen, H.; Ferguson, C.; Tye, K.; Mague, S. D.; Niu, L.-G.; Wang, Z.-W.; Colon-Ramos, D.; Hultman, R.; Bursac, N.; Dzirasa, K.

2025-03-26 neuroscience
10.1101/2025.03.25.645291 bioRxiv
Show abstract

Electrical signaling across distinct populations of brain cells underpins cognitive and emotional function; however, approaches that selectively regulate electrical signaling between two cellular components of a mammalian neural circuit remain sparse. Here, we engineered an electrical synapse composed of two connexin proteins found in Morone americana (white perch fish) - connexin34.7 and connexin35 - to accomplish mammalian circuit modulation. By exploiting protein mutagenesis, devising a new in vitro system for assaying connexin hemichannel docking, and performing computational modeling of hemichannel interactions, we uncovered a structural motif that contributes to electrical synapse formation. Targeting these motifs, we designed connexin34.7 and connexin35 hemichannels that dock with each other to form an electrical synapse, but not with other major connexins expressed in the mammalian central nervous system. We validated this electrical synapse in vivo using C. elegans and mice, demonstrating that it can strengthen communication across neural circuits composed of pairs of distinct cell types and modify behavior accordingly. Thus, we establish Long-term integration of Circuits using connexins (LinCx) for precision circuit-editing in mammals.

Published in Nature (predicted rank #9) · training set

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.