Evidence map›Paper›PMID 41705965›Full record

ArticleMolecular biology of the cell2026

Engineered interfaces in Rac1 and Cdc42 biosensors enhance sensitivity and reduce cell perturbation.

Daniel J Marston, Ellen C O'Shaughnessy, Timothy M Jacobs, Jaewon Huh, Denis Tsygankov, Mingyu Choi, Xiao Ma, Mihai L Azoitei, Gaudenz Danuser, Brian Kuhlman and 1 more

Abstract read
In one paragraph

Article in Molecular biology of the cell, 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

11 authors.

Daniel J MarstonDepartment of Pharmacology, University of North Carolina School of Medicine, Chapel Hill, 27599 NC.
Ellen C O'ShaughnessyDepartment of Pharmacology, University of North Carolina School of Medicine, Chapel Hill, 27599 NC.
Timothy M JacobsDepartment of Biochemistry and Biophysics, University of North Carolina School of Medicine, Chapel Hill, 27599 NC.
Jaewon HuhDepartment of Bioinformatics and Cecil H. and Ida Green Center for Systems Biology, University of Texas Southwestern Medical Center, Dallas, 75390 TX.
Denis TsygankovWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University School of Medicine, Atlanta, 30332 GA.
Mingyu ChoiDepartment of Pharmacology, University of North Carolina School of Medicine, Chapel Hill, 27599 NC.
Xiao MaDepartment of Bioinformatics and Cecil H. and Ida Green Center for Systems Biology, University of Texas Southwestern Medical Center, Dallas, 75390 TX.
Mihai L AzoiteiDuke Human Vaccine Institute, Duke University, Durham, 27710 NC.
Gaudenz DanuserDepartment of Bioinformatics and Cecil H. and Ida Green Center for Systems Biology, University of Texas Southwestern Medical Center, Dallas, 75390 TX.
Brian KuhlmanLineberger Cancer Center, University of North Carolina, Chapel Hill, 27599 NC.
Klaus M HahnDepartment of Pharmacology, University of North Carolina School of Medicine, Chapel Hill, 27599 NC.

Funding

Dissecting signaling in vivo via precise control and visualization of protein activityR35GM122596 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Klaus M. Hahn · 2017 to 2026
$7.4M
UTSW-UNC Center for Cell Signaling AnalysisRM1GM145399 · NIGMS · UT SOUTHWESTERN MEDICAL CENTER · PI Kevin Michael Dean, Klaus M. Hahn · 2022 to 2026
$6.2M
GPU workstation for deep learning-based protein design and cryo-EM data processingR35GM131923 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BRIAN A KUHLMAN · 2019 to 2026
$6.1M
Integrated visualization, control, and analysis of GEF – GTPase networks in living cellsR01CA252826 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI DEAN, KEVIN MICHAEL, HAHN, KLAUS M. · 2021 to 2025
$2.6M
High throughput platform to engineer light-controlled inhibitors against guanine exchange factors of the Dbl familyR01GM144632 · NIGMS · DUKE UNIVERSITY · PI AZOITEI, MIHAI LUCHIAN · 2022 to 2025
$1.7M
NCI NIH HHS R01 CA252826NIGMS NIH HHS R01 GM144632NIGMS NIH HHS R35 GM122596NIGMS NIH HHS R35 GM131923NIGMS NIH HHS RM1 GM145399
6 · The paper itself

Abstract

Fluorescent biosensors are a valuable means to report the spatiotemporal dynamics of protein activities in live cells and animals. However, biosensors affect the activities they are reporting. This can be ameliorated by increasing sensitivity, using lower biosensor concentrations, or by choosing designs that minimize undesirable interactions. For biosensors in which fluorescent components interact to produce Forster Resonance Energy Transfer (FRET), perturbation is often due to interaction of biosensor components with nonfluorescent, endogenous proteins, rather than productive interactions that lead to FRET. Here, we engineer the interface between biosensor components using charge swap and "knob into hole" mutations to reduce all but desired interactions. Novel biosensors for Rac1 and Cdc42 showed reduced interactions with endogenous GTPases and effectors, normal activation by guanine nucleotide exchange factors (GEFs), and correctly reproduced previous reports of GTPase activation dynamics. Assaying concentration-dependent effects on cell motility showed substantially reduced perturbation of normal cell behavior. Computational models indicated that minimal perturbation could be achieved over a broader range of concentrations using the new "orthogonal" biosensors.

Indexed as

Biosensing Techniquescdc42 GTP-Binding Proteinrac1 GTP-Binding ProteinAnimalsCell MovementFluorescence Resonance Energy TransferGuanine Nucleotide Exchange FactorsHumansProtein Engineeringcdc42 GTP-Binding ProteinGuanine Nucleotide Exchange Factorsrac1 GTP-Binding Protein

Identifiers

PMID41705965
PMCPMC13041527

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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 OpenQuestion graph.