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Single‐cell RNA sequencing of motoneurons identifies regulators of synaptic wiring in Drosophila embryos

Authors: Jessica Velten; Xuefan Gao; Patrick Van Nierop y Sanchez; Katrin Domsch; Rashi Agarwal; Lena Bognar; Malte Paulsen; +2 Authors

Single‐cell RNA sequencing of motoneurons identifies regulators of synaptic wiring in Drosophila embryos

Abstract

The correct wiring of neuronal circuits is one of the most complex processes in development, since axons form highly specific connections out of a vast number of possibilities. Circuit structure is genetically determined in vertebrates and invertebrates, but the mechanisms guiding each axon to precisely innervate a unique pre-specified target cell are poorly understood. We investigated Drosophila embryonic motoneurons using single-cell genomics, imaging, and genetics. We show that a cell-specific combination of homeodomain transcription factors and downstream immunoglobulin domain proteins is expressed in individual cells and plays an important role in determining cell-specific connections between differentiated motoneurons and target muscles. We provide genetic evidence for a functional role of five homeodomain transcription factors and four immunoglobulins in the neuromuscular wiring. Knockdown and ectopic expression of these homeodomain transcription factors induces cell-specific synaptic wiring defects that are partly phenocopied by genetic modulations of their immunoglobulin targets. Taken together, our data suggest that homeodomain transcription factor and immunoglobulin molecule expression could be directly linked and function as a crucial determinant of neuronal circuit structure.

Keywords

Homeodomain Proteins, Motor Neurons, Medicine (General), circuit wiring, Embriologia, QH301-705.5, Sequence Analysis, RNA, Articles, DNA-Binding Proteins, R5-920, single‐cell RNA sequencing, Drosòfila, Animals, Drosophila Proteins, Drosophila embryonic motoneuron, Drosophila, Ig‐domain encoding proteins, Biology (General), homeodomain transcription factors, Genètica, Transcription Factors

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    11
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
11
Top 10%
Average
Top 10%
Green
gold