Evidence map›Paper›PMID 34293341›Full record

ReviewJournal of molecular biology2022

Emerging Bioelectronics for Brain Organoid Electrophysiology.

Kazi Tasnim, Jia Liu

Abstract readReview
In one paragraph

Review in Journal of molecular biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 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

2 authors.

Kazi TasnimSchool of Engineering and Applied Sciences, Harvard University, Boston, MA, 02134, USA.
Jia LiuSchool of Engineering and Applied Sciences, Harvard University, Boston, MA, 02134, USA. Electronic address: jia_liu@seas.harvard.edu.

Funding

"Building a robust organoid platform to study the developmental potential and physiology of human specific cortical cell types"RF1MH123948 · NIMH · HARVARD UNIVERSITY · PI LIU, JIA, RAMANATHAN, SHARAD · 2020 to 2020
$1.8M
NIMH NIH HHS RF1 MH123948
6 · The paper itself

Abstract

Human brain organoids are generated from three-dimensional (3D) cultures of human induced pluripotent stem cells and embryonic stem cells, which partially replicate the development and complexity of the human brain. Many methods have been used to characterize the structural and molecular phenotypes of human brain organoids. Further understanding the electrophysiological phenotypes of brain organoids requires advanced electrophysiological measurement technologies to achieve long-term stable 3D recording over the time course of the organoid development with single-cell, millisecond spatiotemporal resolution. In this review, first, we briefly introduce the development, generation, and applications of human brain organoids. We then discuss the conventional methods used for characterizing the morphological, genetic, and electrical properties of brain organoids. Next, we highlight the need for characterizing electrophysiological properties of brain organoids in a minimally invasive manner. In particular, we discuss recent advances in the multi-electrode array (MEA), 3D bioelectronics, and flexible bioelectronics and their applications in brain organoid electrophysiological measurement. In addition, we introduce the recently developed cyborg organoids platform as an emerging tool for the long-term stable 3D characterization of the brain organoids electrophysiology at high spatiotemporal resolution. Finally, we discuss the perspectives of new technologies that could achieve the high-throughput, multimodal characterizations from the same brain organoids.

Indexed as

BrainInduced Pluripotent Stem CellsOrganoidsCell Culture Techniques, Three DimensionalElectrophysiological PhenomenaElectrophysiologyHumansbioelectronicsbrain organoidscyborg organoidsflexible electronicsmultielectrode array

Identifiers

PMID34293341
PMCPMC8766612

What OpenQuestion holds

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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.