Evidence map›Paper›PMID 38485708›Full record

ArticleNature communications2024

Graphene-integrated mesh electronics with converged multifunctionality for tracking multimodal excitation-contraction dynamics in cardiac microtissues.

Hongyan Gao, Zhien Wang, Feiyu Yang, Xiaoyu Wang, Siqi Wang, Quan Zhang, Xiaomeng Liu, Yubing Sun, Jing Kong, Jun Yao

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
10.5field-weighted citation impact, top 1% of its field
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

17 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
  2. Three-dimensional microelectrode arrays forBiomedical engineering letters · 2026
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  14. Atomically thin bioelectronics.Nature reviews. Materials · 2024
    Article
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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

10 authors at 2 institutions in 1 country.

Hongyan GaoDepartment of Electrical and Computer Engineering, University of Massachusetts, Amherst, MA, 01003, USA.
Zhien WangDepartment of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Feiyu YangDepartment of Mechanical and Industrial Engineering, University of Massachusetts, Amherst, MA, 01003, USA.ORCID 0000-0002-9825-8055
Xiaoyu WangDepartment of Electrical and Computer Engineering, University of Massachusetts, Amherst, MA, 01003, USA.
Siqi WangDepartment of Electrical and Computer Engineering, University of Massachusetts, Amherst, MA, 01003, USA.
Quan ZhangDepartment of Electrical and Computer Engineering, University of Massachusetts, Amherst, MA, 01003, USA.
Xiaomeng LiuDepartment of Electrical and Computer Engineering, University of Massachusetts, Amherst, MA, 01003, USA.ORCID 0000-0003-1463-9916
Yubing SunDepartment of Mechanical and Industrial Engineering, University of Massachusetts, Amherst, MA, 01003, USA.ORCID 0000-0002-6831-3383
Jing KongDepartment of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.ORCID 0000-0003-0551-1208
Jun YaoDepartment of Electrical and Computer Engineering, University of Massachusetts, Amherst, MA, 01003, USA. juny@umass.edu.ORCID 0000-0002-5269-3190
University of Massachusetts Amherst · USMassachusetts Institute of Technology · US

Funding

Intrasurgical tissue engineering of autologous grafts using irreversible electroporation for bladder reconstructionR01DK129990 · NIDDK · UNIVERSITY OF MASSACHUSETTS AMHERST · PI SRIMATHVEERAVALLI, GOVINDARAJAN · 2021 to 2024
$1.4M
Bioinspired mechanogating biosensors for real-time biodetectionR21EB030216 · NIBIB · UNIVERSITY OF MASSACHUSETTS AMHERST · PI YAO, JUN · 2022 to 2024
$577k
NIBIB NIH HHS R21 EB030216NIDDK NIH HHS R01 DK129990
6 · The paper itself

Abstract

Cardiac microtissues provide a promising platform for disease modeling and developmental studies, which require the close monitoring of the multimodal excitation-contraction dynamics. However, no existing assessing tool can track these multimodal dynamics across the live tissue. We develop a tissue-like mesh bioelectronic system to track these multimodal dynamics. The mesh system has tissue-level softness and cell-level dimensions to enable stable embedment in the tissue. It is integrated with an array of graphene sensors, which uniquely converges both bioelectrical and biomechanical sensing functionalities in one device. The system achieves stable tracking of the excitation-contraction dynamics across the tissue and throughout the developmental process, offering comprehensive assessments for tissue maturation, drug effects, and disease modeling. It holds the promise to provide more accurate quantification of the functional, developmental, and pathophysiological states in cardiac tissues, creating an instrumental tool for improving tissue engineering and studies.

Indexed as

GraphiteElectronicsHeartTissue EngineeringGraphite

Identifiers

PMID38485708
PMCPMC10940632
OpenAlexW4392817916

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.