Evidence map›Paper›PMID 35148862›Full record

ArticleCurrent biology : CB2022

Blue light responses in Cancer borealis stomatogastric ganglion neurons.

Sonal Kedia, Eve Marder

Open access · hybridAbstract read
In one paragraph

Article in Current biology : CB, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 54% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Neuronal morphology enhances robustness to perturbations of channel densities.Proceedings of the National Academy of Sciences of the United States of America · 2023
    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

2 authors at 1 institution in 1 country.

Sonal KediaVolen Center and Biology Department, MS 013, Brandeis University, 415 South Street, Waltham, MA 02454, USA. Electronic address: sonalkedia@brandeis.edu.
Eve MarderVolen Center and Biology Department, MS 013, Brandeis University, 415 South Street, Waltham, MA 02454, USA. Electronic address: marder@brandeis.edu.
Brandeis University · US

Funding

Neuromodulation and Robustness of Neurons and NetworksR35NS097343 · NINDS · BRANDEIS UNIVERSITY · PI MARDER, EVE E · 2017 to 2024
$7.8M
NINDS NIH HHS R35 NS097343
6 · The paper itself

Abstract

In many animals, the daily cycling of light is a key environmental cue, encoded in part by specialized light-sensitive neurons without visual functions. We serendipitously discovered innate light-responsiveness while imaging the extensively studied stomatogastric ganglion (STG) of the crab, Cancer borealis. The STG houses a motor circuit that controls the rhythmic contractions of the foregut, and the system has facilitated deep understanding of circuit function and neuromodulation. We illuminated the crab STG in vitro with different wavelengths and amplitudes of light and found a dose-dependent increase in neuronal activity upon exposure to blue light (λ460-500 nm). The response was elevated in the absence of neuromodulatory inputs to the STG. The pacemaker kernel that drives the network rhythm was responsive to light when synaptically isolated, and light shifted the threshold for slow wave and spike activity in the hyperpolarized direction, accounting for the increased activity patterns. Cryptochromes are evolutionarily conserved blue-light photoreceptors that are involved in circadian behaviors.

Indexed as

BrachyuraNeoplasmsAnimalsGangliaGanglia, InvertebrateNeuronsPeriodicitycrabscryptochromephotosensitivitypyloric rhythm

Identifiers

PMID35148862
PMCPMC8967796
OpenAlexW4211021306

What OpenQuestion holds

Textmetadata
LicenceTDM
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.