Evidence mapPaperPMID 41210971Full record

ArticleiScience2025

Robust calibration and quantification of FRET signals using multiplexed biosensor barcoding.

Jhen-Wei Wu, Jr-Ming Yang, Chao-Cheng Chen, Gabriel Au, Suyang Wang, Yichu Xu, Gia-Wei Chern, Chuan-Hsiang Huang

Abstract read
In one paragraph

Article in iScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Jhen-Wei WuDepartment of Pathology, Department of Cell Biology, and Center for Cell Dynamics, Johns Hopkins University, Baltimore, MD 21205, USA.
Jr-Ming YangDepartment of Pathology, Department of Cell Biology, and Center for Cell Dynamics, Johns Hopkins University, Baltimore, MD 21205, USA.
Chao-Cheng ChenDepartment of Pathology, Department of Cell Biology, and Center for Cell Dynamics, Johns Hopkins University, Baltimore, MD 21205, USA.
Gabriel AuDepartment of Biophysics, Johns Hopkins University, Baltimore, MD 21218, USA.
Suyang WangDepartment of Pathology, Department of Cell Biology, and Center for Cell Dynamics, Johns Hopkins University, Baltimore, MD 21205, USA.
Yichu XuDepartment of Pathology, Department of Cell Biology, and Center for Cell Dynamics, Johns Hopkins University, Baltimore, MD 21205, USA.
Gia-Wei ChernDepartment of Physics, University of Virginia, Charlottesville, VA 22904, USA.
Chuan-Hsiang HuangDepartment of Pathology, Department of Cell Biology, and Center for Cell Dynamics, Johns Hopkins University, Baltimore, MD 21205, USA.

Funding

Tissue/Pathology/Immunology CoreP50CA098252 · JOHNS HOPKINS UNIVERSITY · 2003 to 2025
$10.1M
NCI NIH HHS P50 CA098252NIGMS NIH HHS R01 GM136711NIH HHS S10 OD016374NIH HHS S10 OD023548
6 · The paper itself

Abstract

Förster resonance energy transfer (FRET) between fluorescent proteins (FPs) underpins many genetically encoded fluorescent biosensors for monitoring biochemical activities in live cells. However, the FRET ratio (acceptor-to-donor signal ratio), commonly used as a proxy for FRET efficiency, is highly sensitive to imaging parameters, complicating data interpretation. Using FP-based barcodes, we introduced calibration standards into subsets of cells for normalization of fluorescence signals. Theoretical analysis indicated the need for both high- and low-FRET standards for calibration under different excitation intensities. We validated this prediction using engineered "FRET-ON" and "FRET-OFF" standards, demonstrating that calibrated FRET ratios are independent of imaging conditions. Including donor-only and acceptor-only cells enabled simultaneous determination of FRET efficiency for multiple biosensors. Calibration also restored expected reciprocal changes in donor and acceptor signals, often obscured by imaging fluctuations and photobleaching. Together, our studies introduce a simple strategy for robust, multiplexed FRET biosensor imaging, facilitating cross-experimental and long-term studies.

Indexed as

Biophysical ChemistryBiotechnologyMethodology in biological sciencesSensor

Identifiers

PMID41210971
PMCPMC12595091

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.