Evidence map›Paper›PMID 42323805›Full record

ArticleAnalytical chemistry2026

Quantitative Spatiotemporal Analysis of Intracellular Kinase Activity in Metastatic Breast Cancer Cells Using a Microfluidic-Based Lateral Diffusion Assay.

Brendan T Fuller, Travis H Jones, Emily T Chan, Malcolm W D'Souza, Kathryn E Luker, Gary D Luker, Jonathan W Song

Abstract read
In one paragraph

Article in Analytical chemistry, 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

7 authors.

Brendan T FullerDepartment of Biomedical Engineering, The Ohio State University, Columbus, Ohio 43210, United States.ORCID 0000-0003-4310-1058
Travis H JonesDepartment of Mechanical and Aerospace Engineering, The Ohio State University, Columbus, Ohio 43210, United States.
Emily T ChanInterdisciplinary Biophysics Graduate Program, The Ohio State University, Columbus, Ohio 43210, United States.
Malcolm W D'SouzaBiomedical Science, College of Medicine, The Ohio State University, Columbus, Ohio 43210, United States.
Kathryn E LukerDepartment of Radiology, University of Michigan, Ann Arbor, Michigan 48109, United States.
Gary D LukerDepartment of Radiology, University of Michigan, Ann Arbor, Michigan 48109, United States.
Jonathan W SongDepartment of Mechanical and Aerospace Engineering, The Ohio State University, Columbus, Ohio 43210, United States.ORCID 0000-0002-6991-5298

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mass transport by diffusion helps shape extracellular gradients of soluble signaling molecules in tumor microenvironments and other physiological settings. Microfluidic technologies are conducive to generating predictable chemical gradients. Yet, they often require specialized fluid-handling expertise and external pumping systems. We designed and implemented a simple microfluidic-based lateral diffusion assay (LDA) that enables reproducible and predictable biomolecular gradients without pumps and is devoid of any confounding pressure-driven flow. Using breast cancer cells that coexpress a kinase translocation reporter (KTR) for Akt, we demonstrate quantitative, real-time analysis of intracellular kinase signaling in response to diffusion-limited extracellular gradients of epidermal growth factor (EGF) in the LDA. We observed temporally and spatially staggered Akt activation and deactivation in KTR cells, with these signaling dynamics correlating to the rate of EGF delivery across zonal boundaries or EGF flux. We identified a threshold EGF concentration required for Akt activation in the median cell population and showed that this threshold concentration increases with cell density. Using mathematical modeling that incorporated empirically derived parameters, we accurately predicted individual cell Akt activation patterns among different EGF source concentrations and cell densities. Finally, we showed that both activation and deactivation patterns depend on the rate of the EGF concentration change, revealing the pivotal role of EGF flux in controlling signaling dynamics. Together, these findings establish the LDA as a powerful and accessible platform for dissecting the dynamics of extracellular gradients in controlling intracellular signaling.

Indexed as

Breast NeoplasmsMicrofluidic Analytical TechniquesProto-Oncogene Proteins c-aktCell Line, TumorDiffusionEpidermal Growth FactorFemaleHumansSignal TransductionEpidermal Growth FactorProto-Oncogene Proteins c-akt

Identifiers

PMID42323805
PMCPMC13325445

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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.