Evidence map›Paper›PMID 26912260›Full record

ArticleScientific reports2016

DoOR 2.0--Comprehensive Mapping of Drosophila melanogaster Odorant Responses.

Daniel Münch, C Giovanni Galizia

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 124 papers.

0numbers the graph read from it
0cells of the map it votes in
124citing 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

124 citing papers in PubMed.

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  17. An integrated anatomical, functional and evolutionary view of thebioRxiv : the preprint server for biology · 2025
    Article
  18. Article
  19. Review
  20. Accelerating Ligand Discovery for Insect Odorant Receptors.International journal of biological sciences · 2025
    Article

64 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

2 authors.

Daniel MünchNeurobiology, University of Konstanz, 78457 Konstanz, Germany.
C Giovanni GaliziaNeurobiology, University of Konstanz, 78457 Konstanz, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Odors elicit complex patterns of activated olfactory sensory neurons. Knowing the complete olfactome, i.e. the responses in all sensory neurons for all relevant odorants, is desirable to understand olfactory coding. The DoOR project combines all available Drosophila odorant response data into a single consensus response matrix. Since its first release many studies were published: receptors were deorphanized and several response profiles were expanded. In this study, we add unpublished data to the odor-response profiles for four odorant receptors (Or10a, Or42b, Or47b, Or56a). We deorphanize Or69a, showing a broad response spectrum with the best ligands including 3-hydroxyhexanoate, alpha-terpineol, 3-octanol and linalool. We include all of these datasets into DoOR, provide a comprehensive update of both code and data, and new tools for data analyses and visualizations. The DoOR project has a web interface for quick queries (http://neuro.uni.kn/DoOR), and a downloadable, open source toolbox written in R, including all processed and original datasets. DoOR now gives reliable odorant-responses for nearly all Drosophila olfactory responding units, listing 693 odorants, for a total of 7381 data points.

Indexed as

Databases, FactualAcyclic MonoterpenesAlgorithmsAnimalsArthropod AntennaeCalciumCaproatesChromatography, GasCyclohexane MonoterpenesCyclohexenesDrosophila melanogasterDrosophila ProteinsFemaleLigandsMicroscopy, FluorescenceMonoterpenes3-hydroxyhexanoic acidAcyclic Monoterpenesalpha-terpineolCalciumCaproatesCyclohexane MonoterpenesCyclohexenesDrosophila ProteinsLigandslinaloolMonoterpenesReceptors, Odorant

Identifiers

PMID26912260
PMCPMC4766438

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.