Evidence map›Paper›PMID 29250483›Full record

ArticleChemosensors (Basel, Switzerland)2017

Illuminating Brain Activities with Fluorescent Protein-Based Biosensors.

Zhijie Chen, Tan M Truong, Hui-Wang Ai

Abstract read
In one paragraph

Article in Chemosensors (Basel, Switzerland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

3 authors.

Zhijie ChenCalifornia Institute for Quantitative Biosciences, QB3, University of California, Berkeley, CA 94720, USA.
Tan M TruongCenter for Membrane and Cell Physiology, and Biomedical Sciences (BIMS) Graduate Program, University of Virginia, Charlottesville, VA 22908, USA.
Hui-Wang AiCenter for Membrane and Cell Physiology, and Biomedical Sciences (BIMS) Graduate Program, University of Virginia, Charlottesville, VA 22908, USA.

Funding

A Fluorescent Toolkit for Imaging Reactive Oxygen Species (ROS)R01GM118675 · NIGMS · UNIVERSITY OF VIRGINIA · PI AI, HUIWANG · 2016 to 2019
$1.4M
Expansion of Unnatural Fluorescent Protein ProbesR21EB021651 · NIBIB · UNIVERSITY OF VIRGINIA · PI AI, HUIWANG · 2016 to 2017
$395k
NIBIB NIH HHS R21 EB021651NIGMS NIH HHS R01 GM118675
6 · The paper itself

Abstract

Fluorescent protein-based biosensors are indispensable molecular tools for life science research. The invention and development of high-fidelity biosensors for a particular molecule or molecular event often catalyze important scientific breakthroughs. Understanding the structural and functional organization of brain activities remain a subject for which optical sensors are in desperate need and of growing interest. Here, we review genetically encoded fluorescent sensors for imaging neuronal activities with a focus on the design principles and optimizations of various sensors. New bioluminescent sensors useful for deep-tissue imaging are also discussed. By highlighting the protein engineering efforts and experimental applications of these sensors, we can consequently analyze factors influencing their performance. Finally, we remark on how future developments can fill technological gaps and lead to new discoveries.

Indexed as

bioluminescent sensorsbiosensorsbrain imagingfluorescent probes/indicatorsfluorescent proteinsgenetically encoded calcium indicatorsgenetically encoded glutamate sensorsgenetically encoded voltage sensorspH indicatorssynaptic activity indicators

Identifiers

PMID29250483
PMCPMC5729940

What OpenQuestion holds

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Registered trials

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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.