Evidence map›Paper›PMID 39827209›Full record

ArticleNature communications2025

A high-performance GRAB sensor reveals differences in the dynamics and molecular regulation between neuropeptide and neurotransmitter release.

Xiju Xia, Yulong Li

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
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

14 citing papers in PubMed.

  1. Article
  2. Temporal coding expands the bandwidth of GPCR-mediated neuromodulation.bioRxiv : the preprint server for biology · 2026
    Article
  3. Review
  4. Soma CaCurrent biology : CB · 2026
    Article
  5. Article
  6. Review
  7. Article
  8. Article
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  10. Review
  11. Article
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  14. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Xiju XiaState Key Laboratory of Membrane Biology, School of Life Sciences, Peking University, Beijing, China.
Yulong LiState Key Laboratory of Membrane Biology, School of Life Sciences, Peking University, Beijing, China. yulongli@pku.edu.cn.ORCID http://orcid.org/0000-0002-9166-9919

Funding

Optimization of GPCR-based fluorescent sensors for large-scale multiplexed in vivo imaging of neuromodulationU01NS120824 · NINDS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI HIRES, SAMUEL ANDREW, LI, YULONG · 2021 to 2024
$3.6M
NINDS NIH HHS U01 NS120824
6 · The paper itself

Abstract

The co-existence and co-transmission of neuropeptides and small molecule neurotransmitters within individual neuron represent a fundamental characteristic observed across various species. However, the differences regarding their in vivo spatiotemporal dynamics and underlying molecular regulation remain poorly understood. Here, we develop a GPCR-activation-based (GRAB) sensor for detecting short neuropeptide F (sNPF) with high sensitivity and spatiotemporal resolution. Furthermore, we investigate the in vivo dynamics and molecular regulation differences between sNPF and acetylcholine (ACh) from the same neurons. Interestingly, our findings reveal distinct spatiotemporal dynamics in the release of sNPF and ACh. Notably, our results indicate that distinct synaptotagmins (Syt) are involved in these two processes, as Syt7 and Sytα for sNPF release, while Syt1 for ACh release. Thus, this high-performance GRAB sensor provides a robust tool for studying neuropeptide release and shedding insights into the unique release dynamics and molecular regulation that distinguish neuropeptides from small molecule neurotransmitters.

Indexed as

Biosensing TechniquesNeuropeptidesNeurotransmitter AgentsAcetylcholineAnimalsMiceNeuronsReceptors, G-Protein-CoupledSynaptotagminsAcetylcholineneuropeptide FNeuropeptidesNeurotransmitter AgentsReceptors, G-Protein-CoupledSynaptotagmins

Identifiers

PMID39827209
PMCPMC11743212

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Registered trials

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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.