Evidence map›Paper›PMID 25538558›Full record

ReviewFrontiers in molecular neuroscience2014

Monitoring activity in neural circuits with genetically encoded indicators.

Gerard J Broussard, Ruqiang Liang, Lin Tian

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in molecular neuroscience, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers.

0numbers the graph read from it
0cells of the map it votes in
72citing papers in PubMed
6.9field-weighted citation impact, top 2% 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

72 citing papers in PubMed, 142 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Beyond a Transmission Cable-New Technologies to Reveal the Richness in Axonal Electrophysiology.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Double-edged Role of KCurrent neuropharmacology · 2022
    Review
  13. Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article

12 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

3 authors at 1 institution in 1 country.

Gerard J BroussardDepartment of Biochemistry and Molecular Medicine, University of California Davis Davis, CA, USA ; Neuroscience Graduate Group, University of California Davis Davis, CA, USA.
Ruqiang LiangDepartment of Biochemistry and Molecular Medicine, University of California Davis Davis, CA, USA.
Lin TianDepartment of Biochemistry and Molecular Medicine, University of California Davis Davis, CA, USA ; Neuroscience Graduate Group, University of California Davis Davis, CA, USA.
University of California, Davis · US

Funding

Fluorescent biosensors for imaging neurotransmitters: observing synapses in actioDP2MH107056 · NIMH · UNIVERSITY OF CALIFORNIA AT DAVIS · PI TIAN, LIN · 2014 to 2014
$2.3M
Genetically encoded sensors for the biogenic amine: watching neuromodulation in actionU01NS090604 · NINDS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI TIAN, LIN · 2014 to 2016
$1.3M
NIMH NIH HHS DP2 MH107056NINDS NIH HHS U01 NS090604
6 · The paper itself

Abstract

Recent developments in genetically encoded indicators of neural activity (GINAs) have greatly advanced the field of systems neuroscience. As they are encoded by DNA, GINAs can be targeted to genetically defined cellular populations. Combined with fluorescence microscopy, most notably multi-photon imaging, GINAs allow chronic simultaneous optical recordings from large populations of neurons or glial cells in awake, behaving mammals, particularly rodents. This large-scale recording of neural activity at multiple temporal and spatial scales has greatly advanced our understanding of the dynamics of neural circuitry underlying behavior-a critical first step toward understanding the complexities of brain function, such as sensorimotor integration and learning. Here, we summarize the recent development and applications of the major classes of GINAs. In particular, we take an in-depth look at the design of available GINA families with a particular focus on genetically encoded calcium indicators (GCaMPs), sensors probing synaptic activity, and genetically encoded voltage indicators. Using the family of the GCaMP as an example, we review established sensor optimization pipelines. We also discuss practical considerations for end users of GINAs about experimental methods including approaches for gene delivery, imaging system requirements, and data analysis techniques. With the growing toolbox of GINAs and with new microscopy techniques pushing beyond their current limits, the age of light can finally achieve the goal of broad and dense sampling of neuronal activity across time and brain structures to obtain a dynamic picture of brain function.

Indexed as

calcium sensorgenetically encoded sensorsin vivo imagingmammalian and rodent brainneural activitysynaptic activity reportervoltage sensor

Identifiers

PMID25538558
PMCPMC4256991
OpenAlexW2006709849

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.