Evidence map›Paper›PMID 41674298›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Real-Time Visualization of Isoform-Specific RAF-KRAS Interactions in Living Cells Using FRET-BRET Hybrid Biosensors.

Jeong-Min Go, Dahee Lee, Minji Kim, Kiseok Han, Gyuho Choi, ChanHui Song, Sanghyun Ahn, Yerim Lee, Jinyoung Lee, Yingxiao Wang and 3 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 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

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

13 authors.

Jeong-Min GoDepartment of Integrated Biological Science, College of Natural Sciences, Pusan National University, Busan, Republic of Korea.
Dahee LeeDepartment of Integrated Biological Science, College of Natural Sciences, Pusan National University, Busan, Republic of Korea.
Minji KimDepartment of Integrated Biological Science, College of Natural Sciences, Pusan National University, Busan, Republic of Korea.
Kiseok HanDepartment of Integrated Biological Science, College of Natural Sciences, Pusan National University, Busan, Republic of Korea.
Gyuho ChoiDepartment of Integrated Biological Science, College of Natural Sciences, Pusan National University, Busan, Republic of Korea.
ChanHui SongDepartment of Integrated Biological Science, College of Natural Sciences, Pusan National University, Busan, Republic of Korea.
Sanghyun AhnDepartment of Integrated Biological Science, College of Natural Sciences, Pusan National University, Busan, Republic of Korea.
Yerim LeeDepartment of Integrated Biological Science, College of Natural Sciences, Pusan National University, Busan, Republic of Korea.
Jinyoung LeeCollege of Pharmacy and Research Institute for Drug Development, Pusan National University, Busan, Republic of Korea.
Yingxiao WangAlfred E. Mann Department of Biomedical Engineering, University of Southern California, Los Angeles, California, USA.
Jung-Soo SuhDepartment of Integrated Biological Science, College of Natural Sciences, Pusan National University, Busan, Republic of Korea.
Hwayoung YunCollege of Pharmacy and Research Institute for Drug Development, Pusan National University, Busan, Republic of Korea.
Tae-Jin KimDepartment of Integrated Biological Science, College of Natural Sciences, Pusan National University, Busan, Republic of Korea.ORCID https://orcid.org/0000-0001-7678-0478

Funding

Acoustothermogenetics for Cell EngineeringR35GM140929 · NIGMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI WANG, YINGXIAO · 2021 to 2025
$2.9M
National Research Foundation of Korea RS-2024-00400827National Research Foundation of Korea RS-2025-21082968NIGMS NIH HHS R35 GM140929
6 · The paper itself

Abstract

The RAS-RAF-MEK-ERK signaling cascade is a central component of the mitogen-activated protein kinase (MAPK) pathway, regulating cell proliferation, differentiation, and survival, and is frequently dysregulated in cancer. Despite extensive biochemical characterization, direct observation of KRAS interactions with RAF isoforms in living cells remains limited. To overcome this limitation, a dual-mode biosensor platform is presented that enables real-time monitoring of RAF-KRAS interactions through both fluorescence resonance energy transfer (FRET) and bioluminescence resonance energy transfer (BRET). Isoform-specific biosensors reveal distinct interaction dynamics, with ARAF-based sensors exhibiting the strongest and most reversible FRET responses. Importantly, incorporation of NanoLuc luciferase into the hybrid biosensor preserves FRET sensitivity while introducing a luminescent BRET mode suitable for high-throughput and low-background applications. Evaluation of oncogenic KRAS mutants indicates elevated basal FRET signals and differential binding profiles across RAF isoforms. Pharmacologic profiling further demonstrates allele-selective inhibition, with mutant-specific FRET and BRET responses observed upon treatment with targeted KRAS inhibitors. This biosensor platform enables live-cell, real-time, and quantitative monitoring of RAF-KRAS interactions, facilitating the analysis of oncogenic signaling dynamics and the evaluation of mutation-specific responses to targeted therapies under physiologically relevant conditions.

Indexed as

Bioluminescence Resonance Energy Transfer TechniquesBiosensing TechniquesFluorescence Resonance Energy TransferProto-Oncogene Proteins p21(ras)raf KinasesHumansProtein IsoformsKRAS protein, humanProtein IsoformsProto-Oncogene Proteins p21(ras)raf KinasesbiosensorBRETFRETKRASlive‐cell imagingRAF

Identifiers

PMID41674298
PMCPMC13104123

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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.