Evidence map›Paper›PMID 32133349›Full record

ArticleFrontiers in bioengineering and biotechnology2020

Intracellular Recording of Human Cardiac Action Potentials on Market-Available Multielectrode Array Platforms.

Giovanni Melle, Giulia Bruno, Nicolò Maccaferri, Giuseppina Iachetta, Nicolò Colistra, Andrea Barbaglia, Michele Dipalo, Francesco De Angelis

Abstract read
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Article in Frontiers in bioengineering and biotechnology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

8 authors.

Giovanni MelleDIBRIS, Università degli Studi di Genova, Genova, Italy.
Giulia BrunoDIBRIS, Università degli Studi di Genova, Genova, Italy.
Nicolò MaccaferriDepartment of Physics and Materials Science, University of Luxembourg, Luxembourg, Luxembourg.
Giuseppina IachettaIstituto Italiano di Tecnologia, Genova, Italy.
Nicolò ColistraIstituto Italiano di Tecnologia, Genova, Italy.
Andrea BarbagliaIstituto Italiano di Tecnologia, Genova, Italy.
Michele DipaloIstituto Italiano di Tecnologia, Genova, Italy.
Francesco De AngelisIstituto Italiano di Tecnologia, Genova, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High quality attenuated intracellular action potentials from large cell networks can be recorded on multi-electrode arrays by means of 3D vertical nanopillars using electrical pulses. However, most of the techniques require complex 3D nanostructures that prevent the straightforward translation into marketable products and the wide adoption in the scientific community. Moreover, 3D nanostructures are often delicate objects that cannot sustain several harsh use/cleaning cycles. On the contrary, laser optoacoustic poration allows the recording of action potentials on planar nanoporous electrodes made of noble metals. However, these constraints of the electrode material and morphology may also hinder the full exploitation of this methodology. Here, we show that optoacoustic poration is also very effective for porating cells on a large family of MEA electrode configurations, including robust electrodes made of nanoporous titanium nitride or disordered fractal-like gold nanostructures. This enables the recording of high quality cardiac action potentials in combination with optoacoustic poration, providing thus attenuated intracellular recordings on various already commercial devices used by a significant part of the research and industrial communities.

Indexed as

bioelectronicsintracellular recordingsmeta-electrodesmulti-electrode arraysoptoacoustic porationpharmacology

Identifiers

PMID32133349
PMCPMC7039818

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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.