Evidence map›Paper›PMID 31710287›Full record

ArticleeLife2019

Single-cell transcriptomic evidence for dense intracortical neuropeptide networks.

Stephen J Smith, Uygar Sümbül, Lucas T Graybuck, Forrest Collman, Sharmishtaa Seshamani, Rohan Gala, Olga Gliko, Leila Elabbady, Jeremy A Miller, Trygve E Bakken and 6 more

Open access · goldAbstract read
In one paragraph

Article in eLife, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 90 papers.

0numbers the graph read from it
0cells of the map it votes in
90citing papers in PubMed
5.6field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

90 citing papers in PubMed, 165 citations in OpenAlex.

  1. Calcium-binding protein expression cannot serve as a general classifier for GABAergic neurons in macaque cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  2. Article
  3. Temporal coding expands the bandwidth of GPCR-mediated neuromodulation.bioRxiv : the preprint server for biology · 2026
    Article
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  15. Opioid Receptors Modulate Inhibition within the Prefrontal Cortex through Dissociable Cellular and Molecular Mechanisms.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  16. Review
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  19. Article
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30 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors at 2 institutions in 2 countries.

Stephen J SmithAllen Institute for Brain Science, Seattle, United States.ORCID 0000-0002-2290-8701
Uygar SümbülAllen Institute for Brain Science, Seattle, United States.ORCID 0000-0001-7134-8897
Lucas T GraybuckAllen Institute for Brain Science, Seattle, United States.ORCID 0000-0002-8814-6818
Forrest CollmanAllen Institute for Brain Science, Seattle, United States.ORCID 0000-0002-0280-7022
Sharmishtaa SeshamaniAllen Institute for Brain Science, Seattle, United States.
Rohan GalaAllen Institute for Brain Science, Seattle, United States.ORCID 0000-0003-1872-0957
Olga GlikoAllen Institute for Brain Science, Seattle, United States.ORCID 0000-0002-5014-7209
Leila ElabbadyAllen Institute for Brain Science, Seattle, United States.ORCID 0000-0002-1452-1603
Jeremy A MillerAllen Institute for Brain Science, Seattle, United States.ORCID 0000-0003-4549-588X
Trygve E BakkenAllen Institute for Brain Science, Seattle, United States.ORCID 0000-0003-3373-7386
Jean RossierNeuroscience Paris Seine, Sorbonne Université, Paris, France.ORCID 0000-0003-1821-2135
Zizhen YaoAllen Institute for Brain Science, Seattle, United States.
Ed LeinAllen Institute for Brain Science, Seattle, United States.ORCID 0000-0001-9012-6552
Hongkui ZengAllen Institute for Brain Science, Seattle, United States.ORCID 0000-0002-0326-5878
Bosiljka TasicAllen Institute for Brain Science, Seattle, United States.ORCID 0000-0002-6861-4506
Michael HawrylyczAllen Institute for Brain Science, Seattle, United States.ORCID 0000-0002-5741-8024
Allen Institute for Brain Science · USSorbonne Université · FR

Funding

Generation of novel cell type specific mouse genetic toolsU19MH114830 · NIMH · ALLEN INSTITUTE · PI ZENG, HONGKUI · 2017 to 2021
$64.7M
Recombinant Immunolabels for Nanoprecise Brain Mapping Across ScalesU24NS109113 · NINDS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI KARL Daniel MURRAY · 2018 to 2026
$9.9M
Synaptomes of Mouse and ManR01NS092474 · NINDS · ALLEN INSTITUTE · PI BURNS, RANDAL, SMITH, STEPHEN J · 2014 to 2018
$8.7M
Establishing a Comprehensive and Standardized Cell Type Characterization PlatformU01MH105982 · NIMH · ALLEN INSTITUTE · PI ANDERSON, DAVID J, ZENG, HONGKUI · 2014 to 2016
$5.1M
Dynamics and molecular mechanism of synaptic connectivity change during learningR01MH104227 · NIMH · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI ZUO, YI · 2014 to 2018
$2.1M
Resolving cellular and anatomical complexity of the brainstem using single-cell genomicsR01MH138332 · NIMH · ALLEN INSTITUTE · PI Zizhen Yao, Cindy van Velthoven · 2026 to 2026
$1.9M
NIH HHS 1U24NS109113NIH HHS R01MH104227NIH HHS R01NS092474NIMH NIH HHS R01 MH104227NIMH NIH HHS R01 MH138332NIMH NIH HHS U01 MH105982NIMH NIH HHS U19 MH114830NINDS NIH HHS R01 NS092474NINDS NIH HHS U24 NS109113
6 · The paper itself

Abstract

Seeking new insights into the homeostasis, modulation and plasticity of cortical synaptic networks, we have analyzed results from a single-cell RNA-seq study of 22,439 mouse neocortical neurons. Our analysis exposes transcriptomic evidence for dozens of molecularly distinct neuropeptidergic modulatory networks that directly interconnect all cortical neurons. This evidence begins with a discovery that transcripts of one or more neuropeptide precursor (NPP) and one or more neuropeptide-selective G-protein-coupled receptor (NP-GPCR) genes are highly abundant in all, or very nearly all, cortical neurons. Individual neurons express diverse subsets of NP signaling genes from palettes encoding 18 NPPs and 29 NP-GPCRs. These 47 genes comprise 37 cognate NPP/NP-GPCR pairs, implying the likelihood of local neuropeptide signaling. Here, we use neuron-type-specific patterns of NP gene expression to offer specific, testable predictions regarding 37 peptidergic neuromodulatory networks that may play prominent roles in cortical homeostasis and plasticity.

Indexed as

AnimalsGene Expression ProfilingGene Regulatory NetworksHomeostasisMiceNeocortexNeuronal PlasticityNeuronsNeuropeptidesProtein PrecursorsReceptors, G-Protein-CoupledSignal TransductionSingle-Cell AnalysisVisual CortexNeuropeptidesProtein PrecursorsReceptors, G-Protein-Coupledmouseneocortexneuromodulationneuron typesneuropeptidesneurosciencesynaptic networkstranscriptomics

Identifiers

PMID31710287
PMCPMC6881117
OpenAlexW2984612860

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.