Evidence map›Paper›PMID 42611223›Full record

ArticleACS nano2026

Potassium-Selective Nanoelectrode Arrays for Single-Cell Profiling of Human iPSC-Derived Cardiomyocytes.

Dhivya Pushpa Meganathan, Romeo Banzon, Ana Casanova, Einollah Sarikhani, Kuldeep Mahato, Hillary Vu, Sarah Reade, Iswerya Ambika Devarajan, Anum Tahir, Lekshmi Sasi and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in ACS nano, 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.

Dhivya Pushpa MeganathanAiiso Yufeng Li Family Department of Chemical and Nano Engineering, University of California San Diego, La Jolla, San Diego, California92093, United States.
Romeo BanzonAiiso Yufeng Li Family Department of Chemical and Nano Engineering, University of California San Diego, La Jolla, San Diego, California92093, United States.
Ana CasanovaAiiso Yufeng Li Family Department of Chemical and Nano Engineering, University of California San Diego, La Jolla, San Diego, California92093, United States.
Einollah SarikhaniAiiso Yufeng Li Family Department of Chemical and Nano Engineering, University of California San Diego, La Jolla, San Diego, California92093, United States.ORCID 0000-0002-7841-5244
Kuldeep MahatoAiiso Yufeng Li Family Department of Chemical and Nano Engineering, University of California San Diego, La Jolla, San Diego, California92093, United States.ORCID 0000-0002-1927-4795
Hillary VuAiiso Yufeng Li Family Department of Chemical and Nano Engineering, University of California San Diego, La Jolla, San Diego, California92093, United States.
Sarah ReadeAiiso Yufeng Li Family Department of Chemical and Nano Engineering, University of California San Diego, La Jolla, San Diego, California92093, United States.
Iswerya Ambika DevarajanAiiso Yufeng Li Family Department of Chemical and Nano Engineering, University of California San Diego, La Jolla, San Diego, California92093, United States.
Anum TahirAiiso Yufeng Li Family Department of Chemical and Nano Engineering, University of California San Diego, La Jolla, San Diego, California92093, United States.
Lekshmi SasiAiiso Yufeng Li Family Department of Chemical and Nano Engineering, University of California San Diego, La Jolla, San Diego, California92093, United States.
Leah SadrAiiso Yufeng Li Family Department of Chemical and Nano Engineering, University of California San Diego, La Jolla, San Diego, California92093, United States.
Joseph WangAiiso Yufeng Li Family Department of Chemical and Nano Engineering, University of California San Diego, La Jolla, San Diego, California92093, United States.ORCID 0000-0002-4921-9674
Zeinab JahedAiiso Yufeng Li Family Department of Chemical and Nano Engineering, University of California San Diego, La Jolla, San Diego, California92093, United States.ORCID 0000-0002-0139-3219

Funding

Air Force Office of Scientific Research FA9550-23-1-0090Division of Materials Research DMR-2011924
6 · The paper itself

Abstract

Potassium ion (K+) dynamics are central to cardiac electrophysiology, with early disruptions in K+ flux often preceding arrhythmia and contractile dysfunction. However, current sensing technologies, such as patch-clamp, microelectrode arrays (MEAs), and fluorescent indicators, either lack chemical specificity for K+ or are unsuitable for long-term, single-cell analysis. Conventional ion-selective electrodes (ISEs), while more selective, are limited by bulk-phase design and poor spatial resolution. To address these limitations, we present KINESIS (K+-Ion Nano-Electrode Selective Interface System), a nanofabricated platform that enables direct, label-free potentiometric measurement of K+ gradients with single-cell precision. KINESIS features high-aspect-ratio nanopillars coated with a valinomycin-based K+ recognition membrane, forming a stable, noninvasive interface with human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs). This architecture allows localized, Nernstian sensing of K+ efflux or depletion without disrupting cell membranes. Pharmacological validation shows distinct potential shifts in response to caffeine and ouabain. KINESIS thus offers a highly selective, spatially resolved approach for studying K+ handling in cardiotoxicity screening and patient-specific disease modeling.

Indexed as

Induced Pluripotent Stem CellsMyocytes, CardiacNanotechnologyPotassiumSingle-Cell AnalysisHumansMicroelectrodesPotassiumcardiac electrophysiologyiPsc-derived cardiomyocytesnanoelectrode arraysnanopillar electrodespotassium-ion (K+) sensingpotentiometrysingle-cell interface

Identifiers

PMID42611223
PMCPMC13492460

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.