Evidence map›Paper›PMID 33920418›Full record

ArticleBiosensors2021

Genetically Encoded Fluorescent Indicators for Imaging Brain Chemistry.

Xiaoke Bi, Connor Beck, Yiyang Gong

Abstract read
In one paragraph

Article in Biosensors, 2021. 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. Identifying dysfunctional cell types and circuits in animal models for psychiatric disorders with calcium imaging.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
    Review
  2. Article
  3. Review
  4. Review
  5. Calcium imaging: a technique to monitor calcium dynamics in biological systems.Physiology and molecular biology of plants : an international journal of functional plant biology · 2023
    Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
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

3 authors.

Xiaoke BiDepartment of Biomedical Engineering, Duke University, Durham, NC 27708, USA.
Connor BeckDepartment of Biomedical Engineering, Duke University, Durham, NC 27708, USA.
Yiyang GongDepartment of Biomedical Engineering, Duke University, Durham, NC 27708, USA.

Funding

Voltage Imaging Dissection of the Mammalian CortexDP2NS111505 · NINDS · DUKE UNIVERSITY · PI GONG, YIYANG · 2018 to 2018
$2.4M
Large-scale cellular-resolution voltage imaging of the zebrafish brainUF1NS107678 · NINDS · DUKE UNIVERSITY · PI GONG, YIYANG · 2018 to 2018
$1.2M
6 · The paper itself

Abstract

Genetically encoded fluorescent indicators, combined with optical imaging, enable the detection of physiologically or behaviorally relevant neural activity with high spatiotemporal resolution. Recent developments in protein engineering and screening strategies have improved the dynamic range, kinetics, and spectral properties of genetically encoded fluorescence indicators of brain chemistry. Such indicators have detected neurotransmitter and calcium dynamics with high signal-to-noise ratio at multiple temporal and spatial scales in vitro and in vivo. This review summarizes the current trends in these genetically encoded fluorescent indicators of neurotransmitters and calcium, focusing on their key metrics and in vivo applications.

Indexed as

Brain ChemistryOptical ImagingProtein EngineeringAnimalsBrainFluorescenceFluorescent DyesHumansNeurotransmitter AgentsFluorescent DyesNeurotransmitter Agentsgenetically encoded calcium indicatorsgenetically encoded fluorescent indicatorsgenetically encoded neurotransmitter indicatorsneural imagingprotein engineering

Identifiers

PMID33920418
PMCPMC8069469

What OpenQuestion holds

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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.