Multimodal cell lineage reconstruction in the hindbrain reveals a link between progenitor origin and activity patterning
Blanc, M.; Meister, L.; Lemon, W. C.; Fiuza, U.-M.; Keller, P. J.; Espinosa-Medina, I.; Pujades, C.
Show abstract
Does the stem cell origin impact how daughter neurons acquire functional characteristics and assemble into circuits? Here, by multimodal cell lineage reconstruction in the zebrafish hindbrain we related a neurons embryonic origin to its future terminal differentiation features, such as neurotransmitter identity, and neuronal activity pattern. Intersectional lineage tracing, new developed computational tools, and genetic knockouts revealed that different progenitors formed functionally distinct neuron subtypes and could not compensate for the loss of adjacent progenitor pools, indicating developmental hardwiring. Dynamics of neuronal production suggest that progenitor competence changes over time. Whereas neurog1-expressing progenitors contributed to both glutamatergic and GABAergic lineages at early embryonic stages, later, other progenitor pools also assumed this role. Whole-hindbrain 3D atlases combining calcium imaging to monitor spontaneous neuronal activity, with genetic perturbations and progenitor origin information, unveiled that the emergence of neuronal activity patterns was presaged by their progenitor origins. This reveals a link between cell ontogeny and neuronal activity in the zebrafish hindbrain.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- Single-cell epigenomic reconstruction of developmental trajectories in human neural organoid systems from pluripotency 98%
- Identification of neural oscillations and epileptiform changes in human brain organoids 98%
- Unexpected contributions of striatal projection neurons coexpressing dopamine D1 and D2 receptors in balancing motor control 98%
Similar papers in this journal
"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.