Evidence map›Paper›PMID 34284580›Full record

ReviewChemical research in toxicology2021

Genetically Encoded Fluorescent Redox Indicators for Unveiling Redox Signaling and Oxidative Toxicity.

Yu Pang, Hao Zhang, Hui-Wang Ai

Abstract readReview
In one paragraph

Review in Chemical research in toxicology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
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.

Yu PangCenter for Membrane and Cell Physiology, University of Virginia, Charlottesville, Virginia 22908, United States.
Hao ZhangCenter for Membrane and Cell Physiology, University of Virginia, Charlottesville, Virginia 22908, United States.
Hui-Wang AiCenter for Membrane and Cell Physiology, University of Virginia, Charlottesville, Virginia 22908, United States.ORCID 0000-0002-5664-3270

Funding

Red and Far-Red Fluorescent Biosensors for Compartmentalized Redox SignalingR01GM129291 · NIGMS · UNIVERSITY OF VIRGINIA · PI AI, HUIWANG · 2018 to 2021
$2.1M
A Fluorescent Toolkit for Imaging Reactive Oxygen Species (ROS)R01GM118675 · NIGMS · UNIVERSITY OF VIRGINIA · PI AI, HUIWANG · 2016 to 2019
$1.4M
NIGMS NIH HHS R01 GM118675NIGMS NIH HHS R01 GM129291
6 · The paper itself

Abstract

Redox-active molecules play essential roles in cell homeostasis, signaling, and other biological processes. Dysregulation of redox signaling can lead to toxic effects and subsequently cause diseases. Therefore, real-time tracking of specific redox-signaling molecules in live cells would be critical for deciphering their functional roles in pathophysiology. Fluorescent protein (FP)-based genetically encoded redox indicators (GERIs) have emerged as valuable tools for monitoring the redox states of various redox-active molecules from subcellular compartments to live organisms. In the first section of this review, we overview the background, focusing on the sensing mechanisms of various GERIs. Next, we review a list of selected GERIs according to their analytical targets and discuss their key biophysical and biochemical properties. In the third section, we provide several examples which applied GERIs to understanding redox signaling and oxidative toxicology in pathophysiological processes. Lastly, a summary and outlook section is included.

Indexed as

Oxidative StressAnimalsBiosensing TechniquesFluorescent DyesGreen Fluorescent ProteinsHumansLuminescent ProteinsOxidation-ReductionSignal TransductionFluorescent DyesGreen Fluorescent ProteinsLuminescent Proteins

Identifiers

PMID34284580
PMCPMC8383716

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.