Great work, congrats !!!!

Very nice, congrats

#neuroscience #neuroskyence

Very nice work

Very nice and important paper 👏

Thank you @cedricboeckx.bsky.social for the nice comment !!!!

Very nice paper 👏

Exciting developments ahead in LR predictions with developmental spatial transcriptomics and a focus on non-neuronal cells !!!!

All that, and more! Big thanks to Rémi Mathieu and
@ltelley.bsky.social who made everything go !!!! And the other collaborators of course
Thanks to funding bodies: @agencerecherche.bsky.social, @EU_H2020, @FRM_officiel, @AgenceRecherche, @Inserm, @jeromelejeune.bsky.social, @frcneurodon, @Rotary

9/9 These findings underscore the power of large-scale transcriptional profiling to unravel fundamental molecular mechanisms driving cortical circuit assembly.

8/9 This atlas not only corroborated known interactions but also enabled the discovery of novel regulators, identifying 2 cadherin superfamily members as key mediators of perisomatic inhibition in deep vs superficial layer excitatory neurons by parvalbumin-expressing basket cells

7/9 Our LR atlas validated key interactions like CBLN4, which drives inhibitory synapse formation on GlutNs. It showed that CBLN4 exp is specific to Sst|L2/3-L5 fan-MCs, and predicted NEO1 as its primary receptor in the cortex. Proximity ligation assays confirmed this prediction

6/9 LRs linked to autism and epilepsy were widely used in the somatosensory cortex (examined here), while LRs linked to schizophrenia and intellectual disabilities may affect interactions beyond this area.

5/9 While neuron-pair specific LRs were rare, most LRs were shared by a relatively small subset of possible neuron-pairs (<100 out of 729 cell pairs). Ultimately, specificity arose from the unique combinations of these LRs per neuron-pair.

4/9 We then built an atlas predicting LR-mediated neuron-neuron interactions during cortical dev. It integrates the exp of ~8K LRs with downstream transcriptional networks across 729 neuronal pairs, prioritizing LR interactions based on known connectivity and neuronal maturation.