Evidence map›Paper›PMID 42691677›Full record

ArticleBiosensors & bioelectronics2026

Parallel intracellular redox and extracellular respiration sensing for quantitative oxidative stress profiling.

Shirin Parvin, Deon Ploessl, Zheyuan Zhang, Zengyi Shao, Meng Lu

Abstract read
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In one paragraph

Article in Biosensors & bioelectronics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Shirin ParvinDepartment of Electrical and Computer Engineering, Iowa State University, Ames, Iowa, 50011, USA.
Deon PloesslDepartment of Chemical and Biological Engineering, Iowa State University, Ames, Iowa, 50011, USA.
Zheyuan ZhangDepartment of Electrical and Computer Engineering, Iowa State University, Ames, Iowa, 50011, USA.
Zengyi ShaoDepartment of Chemical and Biological Engineering, Iowa State University, Ames, Iowa, 50011, USA; NSF Engineering Research Center for Biorenewable Chemicals, Iowa State University, Ames, Iowa, 50011, USA; DOE Center for Advanced Bioenergy and Bioproducts Innovation, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA; Interdepartmental Microbiology Program, Iowa State University, Ames, Iowa, 50011, USA; Bioeconomy Institute, Iowa State University, Ames, Iowa, 50011, USA; The Ames Laboratory, Ames, Iowa, 50011, USA; Iowa NSF EPSCoR - Chemurgy 2.0, Iowa State University, Ames, Iowa, 50011, USA. Electronic address: zyshao@iastate.edu.
Meng LuDepartment of Electrical and Computer Engineering, Iowa State University, Ames, Iowa, 50011, USA; Department of Mechanical Engineering, Iowa State University, Ames, Iowa, 50011, USA. Electronic address: menglu@iastate.edu.

Funding

Establishing a Novel Instrumental Model for Elucidating Mitochondrial DNA-Associated Dysfunction and PathogenicityR35GM143048 · NIGMS · IOWA STATE UNIVERSITY · PI SHAO, ZENGYI · 2021 to 2025
$1.8M
NIGMS NIH HHS R35 GM143048
6 · The paper itself

Abstract

Quantitative assessment of cellular oxidative stress requires parallel matched profiling of intracellular redox state and extracellular respiratory activity, yet paired sensing approaches remain limited. Here, we present a dual-fluorescent sensing platform combining a genetically encoded redox biosensor (roGFP2-Tsa2ΔC

Indexed as

Biosensing TechniquesOxidative StressSaccharomyces cerevisiaeYarrowiaGlucoseHydrogen PeroxideMitochondriaOxidation-ReductionOxygenOxygen ConsumptionReactive Oxygen SpeciesGlucoseHydrogen PeroxideOxygenReactive Oxygen SpeciesBiomanufacturingDissolved oxygen sensorGenetically encoded sensorReactive oxygen speciesYeast-based disease models

Identifiers

PMID42691677

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.