Evidence map›Paper›PMID 30683545›Full record

ArticleNeuron2019

Structured Odorant Response Patterns across a Complete Olfactory Receptor Neuron Population.

Guangwei Si, Jessleen K Kanwal, Yu Hu, Christopher J Tabone, Jacob Baron, Matthew Berck, Gaetan Vignoud, Aravinthan D T Samuel

Abstract read
In one paragraph

Article in Neuron, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing 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

50 citing papers in PubMed.

  1. Trial
  2. Article
  3. The larvalScience advances · 2026
    Article
  4. Article
  5. Convergent motifs of early olfactory processing are recapitulated by layer-wise efficient coding.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  6. The larvalbioRxiv : the preprint server for biology · 2026
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Dynamics of two distinct memory interactions during water seeking inProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Guangwei SiDepartment of Physics, Harvard University, Cambridge, MA 02138, USA; Center for Brain Science, Harvard University, Cambridge, MA 02138, USA.
Jessleen K KanwalCenter for Brain Science, Harvard University, Cambridge, MA 02138, USA; Program in Neuroscience, Harvard University, Cambridge, MA 02138, USA.
Yu HuCenter for Brain Science, Harvard University, Cambridge, MA 02138, USA.
Christopher J TaboneDepartment of Physics, Harvard University, Cambridge, MA 02138, USA; Center for Brain Science, Harvard University, Cambridge, MA 02138, USA.
Jacob BaronDepartment of Physics, Harvard University, Cambridge, MA 02138, USA; Center for Brain Science, Harvard University, Cambridge, MA 02138, USA.
Matthew BerckDepartment of Physics, Harvard University, Cambridge, MA 02138, USA; Center for Brain Science, Harvard University, Cambridge, MA 02138, USA.
Gaetan VignoudDepartment of Physics, Harvard University, Cambridge, MA 02138, USA; Center for Brain Science, Harvard University, Cambridge, MA 02138, USA.
Aravinthan D T SamuelDepartment of Physics, Harvard University, Cambridge, MA 02138, USA; Center for Brain Science, Harvard University, Cambridge, MA 02138, USA. Electronic address: samuel@physics.harvard.edu.

Funding

PROJECT 4: MOLECULAR AND CELLULAR MECHANISMS FOR THERMAL ROBUSTNESS AND MULTISENP01GM103770 · NIGMS · BRANDEIS UNIVERSITY · PI GARRITY, PAUL · 2013 to 2017
$6.2M
Molecular and cellular determinants of Drosophila larva thermotaxisR01GM130842 · NIGMS · BRANDEIS UNIVERSITY · PI Paul Garrity, ARAVINTHAN D. SAMUEL · 2019 to 2026
$3.8M
Biophysical approaches to complex navigational behaviors in larval Drosophila melDP1GM105383 · NIGMS · HARVARD UNIVERSITY · PI SAMUEL, ARAVINTHAN D. · 2012 to 2012
$832k
Neural Mechanisms for Olfactory and Gustatory Integration in the Drosophila LarvaF31DC015704 · NIDCD · HARVARD MEDICAL SCHOOL · PI KANWAL, JESSLEEN KAUR · 2016 to 2018
$94k
NIDCD NIH HHS F31 DC015704NIGMS NIH HHS DP1 GM105383NIGMS NIH HHS P01 GM103770NIGMS NIH HHS R01 GM130842
6 · The paper itself

Abstract

Odor perception allows animals to distinguish odors, recognize the same odor across concentrations, and determine concentration changes. How the activity patterns of primary olfactory receptor neurons (ORNs), at the individual and population levels, facilitate distinguishing these functions remains poorly understood. Here, we interrogate the complete ORN population of the Drosophila larva across a broadly sampled panel of odorants at varying concentrations. We find that the activity of each ORN scales with the concentration of any odorant via a fixed dose-response function with a variable sensitivity. Sensitivities across odorants and ORNs follow a power-law distribution. Much of receptor sensitivity to odorants is accounted for by a single geometrical property of molecular structure. Similarity in the shape of temporal response filters across odorants and ORNs extend these relationships to fluctuating environments. These results uncover shared individual- and population-level patterns that together lend structure to support odor perceptions.

Indexed as

OdorantsAnimalsDrosophila melanogasterOlfactory Receptor NeuronsReceptors, OdorantSensory ThresholdsSmellReceptors, Odorantcalcium imagingcombinatorial olfactory codedose response relationshipDrosophilamicrofluidicsmolecular recognitionolfactory receptor neuronspower lab distributionreceptor sensitivitytemporal filter

Identifiers

PMID30683545
PMCPMC6756926

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.