Evidence mapPaperPMID 39282286Full record

ArticlebioRxiv : the preprint server for biology2024

Calibration of FRET-based biosensors using multiplexed biosensor barcoding.

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

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. 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

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

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

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

Funding

Treatment of HIV- and HIV+ Patients with HPV16+ CIN2/3 Using pNGLV4a-hCRTE6E7L2 DNA vaccine administered intramuscularly via electroporationP50CA098252 · NCI · JOHNS HOPKINS UNIVERSITY · PI RAPHAEL Paul VISCIDI · 2003 to 2026
$53.5M
Deciphering the network structure of signaling dynamicsR01GM136711 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI HUANG, CHUAN-HSIANG · 2020 to 2024
$1.7M
Zeiss LSM780 Confocal Microscope for a Core FacilityS10OD016374 · OD · JOHNS HOPKINS UNIVERSITY · PI KUO, SCOT CHARLES · 2013 to 2013
$584k
LSM880 Laser-scanning Microscope with Airyscan ModuleS10OD023548 · OD · JOHNS HOPKINS UNIVERSITY · PI KUO, SCOT CHARLES · 2018 to 2018
$439k
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) is widely used in the design of genetically encoded fluorescent biosensors, which are powerful tools for monitoring the dynamics of biochemical activities in live cells. FRET ratio, defined as the ratio between acceptor and donor signals, is often used as a proxy for the actual FRET efficiency, which must be corrected for signal crosstalk using donor-only and acceptor-only samples. However, the FRET ratio is highly sensitive to imaging conditions, making direct comparisons across different experiments and over time challenging. Inspired by a method for multiplexed biosensor imaging using barcoded cells, we reasoned that calibration standards with fixed FRET efficiency can be introduced into a subset of cells for normalization of biosensor signals. Our theoretical analysis indicated that the FRET ratio of high-FRET species relative to non-FRET species slightly decreases at high excitation intensity, suggesting the need for calibration using both high and low FRET standards. To test these predictions, we created FRET donor-acceptor pairs locked in "FRET-ON" and "FRET-OFF" conformations and introduced them into a subset of barcoded cells. Our results confirmed the theoretical predictions and showed that the calibrated FRET ratio is independent of imaging settings. We also provided a strategy for calculating the FRET efficiency. Together, our study presents a simple strategy for calibrated and highly multiplexed imaging of FRET biosensors, facilitating reliable comparisons across experiments and supporting long-term imaging applications.

Identifiers

PMID39282286
PMCPMC11398328

What Socratic holds

Textmetadata
Read underepoch 390

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 Socratic graph.