Evidence mapPaperPMID 41233897Full record

ArticleJournal of biological engineering2025

Two novel red-FRET ERK bosensors in the 670-720 nm range.

Nicholaus L DeCuzzi, Jason Y Hu, Florene Xu, Brayant Rodriguez, Michael Pargett, John G Albeck

Abstract read
In one paragraph

Article in Journal of biological engineering, 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

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. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Nicholaus L DeCuzzi *Department of Molecular and Cellular Biology, University of California Davis, CA, Davis, USA.
Jason Y Hu *Department of Molecular and Cellular Biology, University of California Davis, CA, Davis, USA.
Florene Xu *Department of Molecular and Cellular Biology, University of California Davis, CA, Davis, USA.
Brayant RodriguezDepartment of Molecular and Cellular Biology, University of California Davis, CA, Davis, USA.
Michael PargettDepartment of Molecular and Cellular Biology, University of California Davis, CA, Davis, USA.
John G AlbeckDepartment of Molecular and Cellular Biology, University of California Davis, CA, Davis, USA. jgalbeck@ucdavis.edu.

Funding

Shared Resource ManagementP30CA093373 · UNIVERSITY OF CALIFORNIA DAVIS · 2002 to 2025
$10.6M
TRAINING IN COMPARATIVE LUNG BIOLOGY AND MEDICINET32HL007013 · UNIVERSITY OF CALIFORNIA DAVIS · 1985 to 2025
$1.6M
Control of gene expression by dynamic metabolic oscillationsR35GM139621 · UNIVERSITY OF CALIFORNIA AT DAVIS · 2025 to 2025
$374k
NCI NIH HHS P30 CA093373NHLBI NIH HHS HL007013NHLBI NIH HHS R01 HL151983NHLBI NIH HHS R01HL151983NHLBI NIH HHS T32 HL007013NIGMS NIH HHS R35 GM139621NIGMS NIH HHS R35GM139621
6 · The paper itself

Abstract

Cell fate decisions are regulated by intricate signaling networks, with Extracellular signal-Regulated Kinase (ERK) being a central node in the control of cell proliferation and differentiation. ERK typically cooperates with a network of other regulators, making it necessary to study multiple signaling pathways simultaneously at the single-cell level. Many existing fluorescent biosensors for ERK and other pathways have significant spectral overlap, limiting their utility for multiplexing. To address this limitation, we developed two novel red-FRET ERK biosensors, REKAR67 and REKAR76, which operate in the 670-720 nm range using the fluorescent proteins miRFP670nano3 and miRFP720. REKAR67 and REKAR76 differ in fluorophore position, which impacts biosensor characteristics; REKAR67 displayed a higher dynamic range but greater signal variance than REKAR76. In both polyclonal and clonal populations, REKAR67- or REKAR76-expressing cells displayed similar Signal-to-Noise ratios (SNR). Overall, the red-FRET ERK biosensors were highly consistent with existing CFP/YFP biosensors in reporting ERK activity. Both REKAR biosensors expand the available tools for measuring single-cell ERK activity by being spectrally compatible with other CFP/YFP FRET and cpGFP -based biosensors, allowing for multiplexed imaging.

Identifiers

PMID41233897
PMCPMC12616953

What Socratic 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 Socratic graph.