Evidence map›Paper›PMID 33264511›Full record

ArticleMicrobiologyOpen2021

A Pichia biosensor for high-throughput analyses of compounds that can influence mosquito behavior.

Julia Nogueira Varela, Vikramaditya G Yadav

Open access · goldAbstract read
In one paragraph

Article in MicrobiologyOpen, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 44% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. The GEM-GECO Calcium Indicator Is Useable inInternational journal of molecular sciences · 2022
    Article
  3. The Use of Yeast in Biosensing.Microorganisms · 2022
    Review
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.

Julia Nogueira VarelaDepartment of Chemical and Biological Engineering & School of Biomedical Engineering, The University of British Columbia, Vancouver, BC, Canada.
Vikramaditya G YadavDepartment of Chemical and Biological Engineering & School of Biomedical Engineering, The University of British Columbia, Vancouver, BC, Canada.ORCID 0000-0002-1120-6392
University of British Columbia · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mosquitoes utilize their sense of smell to locate prey and feed on their blood. Repellents interfere with the biochemical cascades that detect odors. Consequently, repellants are highly effective and resource-efficient alternatives for controlling the spread of mosquito-borne illnesses. Unfortunately, the discovery of repellents is slow, laborious, and error-prone. To this end, we have taken a giant stride toward improving the speed and accuracy of repellant discovery by constructing a prototypical whole-cell biosensor for accurate detection of mosquito behavior-modifying compounds such as repellants. As a proof-of-concept, we genetically engineered Pichia pastoris to express the olfactory receptor co-receptor (Orco) of Anopheles gambiae mosquitoes. This transmembrane protein behaves like a cationic channel upon activation by stimulatory odorants. When the engineered Pichia cells are cultured in calcium-containing Hank's buffer, induction of the medium with a stimulatory odorant results in an influx of calcium ions into the cells, and the stimulatory effect is quantifiable using the calcium-sequestering fluorescent dye, fluo-4-acetoxymethyl ester. Moreover, the stimulatory effect can be titrated by adjusting either the concentration of calcium ions in the medium or the level of induction of the stimulatory odorant. Subsequent exposure of the activated Pichia cells to a repellant molecule inhibits the stimulatory effect and quenches the fluorescent signal, also in a titratable manner. Significantly, the modular architecture of the biosensor allows easy and efficient expansion of its detection range by co-expressing Orco with other olfactory receptors. The high-throughput assay is also compatible with robotic screening infrastructure, and our development represents a paradigm change for the discovery of mosquito repellants.

Indexed as

AnimalsAnophelesBiosensing TechniquesCalciumHigh-Throughput Screening AssaysHumansInsect ProteinsInsect RepellentsIon TransportOdorantsReceptors, OdorantSaccharomycetalesSmellCalciumInsect ProteinsInsect RepellentsReceptors, Odorantmosquitoodor biosensorolfactory receptor co-receptorpublic healthrepellantsynthetic biologyyeast

Identifiers

PMID33264511
PMCPMC7851572
OpenAlexW3109381849

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.