Evidence map›Paper›PMID 29313542›Full record

ArticleLab on a chip2018

A programmable platform for sub-second multichemical dynamic stimulation and neuronal functional imaging in C. elegans.

T Rouse, G Aubry, Y Cho, M Zimmer, H Lu

Abstract read
In one paragraph

Article in Lab on a chip, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

10 citing papers in PubMed, 16 citations in OpenAlex.

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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 2 institutions in 3 countries.

T RouseSchool of Chemical & Biomolecular Engineering, Georgia Institute of Technology, 311 Ferst Drive NW, Atlanta, Georgia 30332, USA. hang.lu@gatech.edu.
G Aubry
Y Cho
M Zimmer
H Lu
Georgia Institute of Technology · USResearch Institute of Molecular Pathology · AT

Funding

Quantitative microscopy-based rapid phenotyping and screeningR01GM088333 · NIGMS · GEORGIA INSTITUTE OF TECHNOLOGY · PI LU, HANG · 2011 to 2018
$2.3M
Functional characterization of an insulin-like peptide network that regulates learningR01GM108962 · NIGMS · HARVARD UNIVERSITY · PI ZHANG, YUN · 2014 to 2017
$2.2M
Quantitative Understanding of Mechnosensory Circuit on ChipR01NS096581 · NINDS · GEORGIA INSTITUTE OF TECHNOLOGY · PI LU, HANG · 2016 to 2020
$1.7M
Automated droplet-based platform for combinatorial screens on whole animalsR21EB021676 · NIBIB · GEORGIA INSTITUTE OF TECHNOLOGY · PI LU, HANG · 2015 to 2016
$429k
NIBIB NIH HHS R21 EB021676NIGMS NIH HHS R01 GM088333NIGMS NIH HHS R01 GM108962NINDS NIH HHS R01 NS096581
6 · The paper itself

Abstract

Caenorhabditis elegans (C. elegans) is a prominent model organism in neuroscience, as its small stereotyped nervous system offers unique advantages for studying neuronal circuits at the cellular level. Characterizing temporal dynamics of neuronal circuits is essential to fully understand neuronal processing. Characterization of the temporal dynamics of chemosensory circuits requires a precise and fast method to deliver multiple stimuli and monitor the animal's neuronal activity. Microfluidic platforms have been developed that offer an improved control of chemical delivery compared to manual methods. However, stimulating an animal with multiple chemicals at high speed is still difficult. In this work, we have developed a platform that can deliver any sequence of multiple chemical reagents, at sub-second resolution and without cross-contamination. We designed a network of chemical selectors wherein the chemical selected for stimulation is determined by the set of pressures applied to the chemical reservoirs. Modulation of inlet pressures has been automated to create robust, programmable sequences of subsecond chemical pulses. We showed that stimulation with sequences of different chemicals at the second to sub-second range can generate different neuronal activity patterns in chemosensory neurons; we observed previously unseen neuronal responses to a controlled chemical stimulation. Because of the speed and versatility of stimulus generated, this platform opens new possibilities to investigate neuronal circuits.

Indexed as

Lab-On-A-Chip DevicesSensory Receptor CellsAnimalsCaenorhabditis elegansCells, CulturedCytological TechniquesEquipment DesignMicrofluidic Analytical TechniquesStimulation, Chemical

Identifiers

PMID29313542
PMCPMC5790607
OpenAlexW2781135650

What OpenQuestion holds

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LicenceTDM
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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.