Evidence map›Paper›PMID 31969834›Full record

ArticleFrontiers in physiology2019

Stereotyped Combination of Hearing and Wind/Gravity-Sensing Neurons in the Johnston's Organ of

Yuki Ishikawa, Mao Fujiwara, Junlin Wong, Akari Ura, Azusa Kamikouchi

Open access · goldAbstract read
In one paragraph

Article in Frontiers in physiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.2field-weighted citation impact, top 25% 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

9 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Review
  3. Deafness due to loss of a TRPV channel eliminates mating behavior inProceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Neuronal Compartmentalization: A Means to Integrate Sensory Input at the Earliest Stage of Information Processing?BioEssays : news and reviews in molecular, cellular and developmental biology · 2020
    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

5 authors at 1 institution in 1 country.

Yuki IshikawaDivision of Biological Science, Graduate School of Science, Nagoya University, Nagoya, Japan.
Mao FujiwaraDivision of Biological Science, Graduate School of Science, Nagoya University, Nagoya, Japan.
Junlin WongDivision of Biological Science, Graduate School of Science, Nagoya University, Nagoya, Japan.
Akari UraDivision of Biological Science, Graduate School of Science, Nagoya University, Nagoya, Japan.
Azusa KamikouchiDivision of Biological Science, Graduate School of Science, Nagoya University, Nagoya, Japan.
Nagoya University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The antennal ear of the fruit fly, called the Johnston's organ (JO), detects a wide variety of mechanosensory stimuli, including sound, wind, and gravity. Like many sensory cells in insect, JO neurons are compartmentalized in a sensory unit (i.e., scolopidium). To understand how different subgroups of JO neurons are organized in each scolopidial compartment, we visualized individual JO neurons by labeling various subgroups of JO neurons in different combinations. We found that vibration-sensitive (or deflection-sensitive) neurons rarely grouped together in a single scolopidial compartment. This finding suggests that JO neurons are grouped in stereotypical combinations each with a distinct response property in a scolopidium.

Indexed as

compartmentearfruit flymechanosensory neuronscolopidium

Identifiers

PMID31969834
PMCPMC6960095
OpenAlexW2999100972

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.