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Transcriptomic evidence for dense peptidergic neuromodulation networks in mouse cortex

View ORCID ProfileStephen J Smith, Uygar Sümbül, View ORCID ProfileLucas Graybuck, View ORCID ProfileForrest Collman, View ORCID ProfileSharmishtaa Seshamani, View ORCID ProfileRohan Gala, Olga Gliko, Leila Elabbady, Jeremy Miller, View ORCID ProfileTrygve Bakken, View ORCID ProfileZizhen Yao, View ORCID ProfileEd Lein, View ORCID ProfileHongkui Zeng, View ORCID ProfileBosiljka Tasic, View ORCID ProfileMichael Hawrylycz
doi: https://doi.org/10.1101/519694
Stephen J Smith
Allen Institute for Brain Science 615 Westlake Ave N, Seattle, WA 98109
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  • For correspondence: stephens@alleninstitute.org
Uygar Sümbül
Allen Institute for Brain Science 615 Westlake Ave N, Seattle, WA 98109
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Lucas Graybuck
Allen Institute for Brain Science 615 Westlake Ave N, Seattle, WA 98109
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Forrest Collman
Allen Institute for Brain Science 615 Westlake Ave N, Seattle, WA 98109
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Sharmishtaa Seshamani
Allen Institute for Brain Science 615 Westlake Ave N, Seattle, WA 98109
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Rohan Gala
Allen Institute for Brain Science 615 Westlake Ave N, Seattle, WA 98109
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Olga Gliko
Allen Institute for Brain Science 615 Westlake Ave N, Seattle, WA 98109
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Leila Elabbady
Allen Institute for Brain Science 615 Westlake Ave N, Seattle, WA 98109
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Jeremy Miller
Allen Institute for Brain Science 615 Westlake Ave N, Seattle, WA 98109
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Trygve Bakken
Allen Institute for Brain Science 615 Westlake Ave N, Seattle, WA 98109
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Zizhen Yao
Allen Institute for Brain Science 615 Westlake Ave N, Seattle, WA 98109
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Ed Lein
Allen Institute for Brain Science 615 Westlake Ave N, Seattle, WA 98109
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Hongkui Zeng
Allen Institute for Brain Science 615 Westlake Ave N, Seattle, WA 98109
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Bosiljka Tasic
Allen Institute for Brain Science 615 Westlake Ave N, Seattle, WA 98109
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Michael Hawrylycz
Allen Institute for Brain Science 615 Westlake Ave N, Seattle, WA 98109
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Summary

Seeking new insights into intracortical neuromodulation, we have analyzed results from deep RNA-Seq analysis of 22,439 individual mouse neocortical neurons. With special interest in ways that cortical neurons may use paracrine neuropeptide (NP) signaling to modulate one anothers’ synaptic and electrical function, we have concentrated on neocortical expression of genes encoding 18 neuropeptide precursor proteins (NPPs) and 29 cognate G-protein-coupled neuropeptide receptors (NP-GPCRs). We find that over 97% of sampled neurons express at least one of these NPP genes and that 98% express at least one NP-GPCR gene, with almost all neurons expressing several genes in each category. Reference to a transcriptomic taxonomy suggests that neocortical neuron types should be distinguishable by unique combinatorial signatures of NPP and NP-GPCR expression. We use these neuron-type-specific NP expression signatures to generate testable predictions regarding dense peptidergic neuromodulatory networks that may play prominent roles in cortical activity homeostasis and memory engram storage.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted January 13, 2019.
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Transcriptomic evidence for dense peptidergic neuromodulation networks in mouse cortex
Stephen J Smith, Uygar Sümbül, Lucas Graybuck, Forrest Collman, Sharmishtaa Seshamani, Rohan Gala, Olga Gliko, Leila Elabbady, Jeremy Miller, Trygve Bakken, Zizhen Yao, Ed Lein, Hongkui Zeng, Bosiljka Tasic, Michael Hawrylycz
bioRxiv 519694; doi: https://doi.org/10.1101/519694
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Transcriptomic evidence for dense peptidergic neuromodulation networks in mouse cortex
Stephen J Smith, Uygar Sümbül, Lucas Graybuck, Forrest Collman, Sharmishtaa Seshamani, Rohan Gala, Olga Gliko, Leila Elabbady, Jeremy Miller, Trygve Bakken, Zizhen Yao, Ed Lein, Hongkui Zeng, Bosiljka Tasic, Michael Hawrylycz
bioRxiv 519694; doi: https://doi.org/10.1101/519694

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