A novel method for sensor-based quantification of single/multicellular force dynamics and stiffening in 3D matrices

Emon, Bashar; Joy, Saddam Hossain; Doha, Umnia; Kosari, Farhad; Saif, M. Taher A.

doi:10.1126/sciadv.abf2629

Cited by 15 publications

(14 citation statements)

References 62 publications

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“…The rate of force increase was approximately 0.5 nN/h. Notably, the force generation pattern of neurons differs significantly from that of fibroblasts ( 28 ). Fibroblasts exhibit fluctuations in force over time, with peaks and drops in the force profile resulting from the cells’ continuous contraction and relaxation ( 28 ).…”

Section: Resultsmentioning

confidence: 99%

“…Notably, the force generation pattern of neurons differs significantly from that of fibroblasts ( 28 ). Fibroblasts exhibit fluctuations in force over time, with peaks and drops in the force profile resulting from the cells’ continuous contraction and relaxation ( 28 ). Neurons display a continuous increase in force with time with minimal fluctuation.…”

Section: Resultsmentioning

confidence: 99%

“…To address this gap, we developed an ultrasensitive force sensor ( Figs. 1 and 2 ), made from PDMS by molding, with 1 nN resolution ( 28 ), capable of measuring the force of a neuronal network ( Fig. 3 ) and astrocyte ( Fig.…”

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confidence: 99%

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Synapses without tension fail to fire in an in vitro network of hippocampal neurons

Joy,

Nall,

Emon

et al. 2023

Proc. Natl. Acad. Sci. U.S.A.

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Neurons in the brain communicate with each other at their synapses. It has long been understood that this communication occurs through biochemical processes. Here, we reveal that mechanical tension in neurons is essential for communication. Using in vitro rat hippocampal neurons, we find that 1) neurons become tout/tensed after forming synapses resulting in a contractile neural network, and 2) without this contractility, neurons fail to fire. To measure time evolution of network contractility in 3D (not 2D) extracellular matrix, we developed an ultrasensitive force sensor with 1 nN resolution. We employed Multi-Electrode Array and iGluSnFR, a glutamate sensor, to quantify neuronal firing at the network and at the single synapse scale, respectively. When neuron contractility is relaxed, both techniques show significantly reduced firing. Firing resumes when contractility is restored. This finding highlights the essential contribution of neural contractility in fundamental brain functions and has implications for our understanding of neural physiology.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

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Synapses without tension fail to fire in an in vitro network of hippocampal neurons

Joy,

Nall,

Emon

et al. 2023

Proc. Natl. Acad. Sci. U.S.A.

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“…In a more recent work led by Emon et al (2021) a highresolution sensor that allows self-assembly and culture of 3D tissue models was described. This sensor was applied to detect single and multiple cell forces in 3D matrices over long-term culture with a high resolution of 1 nN.…”

Section: Biosensor For Measuring Tissue Stiffness and Mechanical Prop...mentioning

confidence: 99%

Bioengineering and Biotechnology Approaches in Cardiovascular Regenerative Medicine, Volume II

2024

Frontiers Research Topics

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Frontiers is more than just an open access publisher of scholarly articles: it is a pioneering approach to the world of academia, radically improving the way scholarly research is managed. The grand vision of Frontiers is a world where all people have an equal opportunity to seek, share and generate knowledge. Frontiers provides immediate and permanent online open access to all its publications, but this alone is not enough to realize our grand goals. Frontiers journal seriesThe Frontiers journal series is a multi-tier and interdisciplinary set of openaccess, online journals, promising a paradigm shift from the current review, selection and dissemination processes in academic publishing. All Frontiers journals are driven by researchers for researchers; therefore, they constitute a service to the scholarly community. At the same time, the Frontiers journal series operates on a revolutionary invention, the tiered publishing system, initially addressing specific communities of scholars, and gradually climbing up to broader public understanding, thus serving the interests of the lay society, too. Dedication to qualityEach Frontiers article is a landmark of the highest quality, thanks to genuinely collaborative interactions between authors and review editors, who include some of the world's best academicians. Research must be certified by peers before entering a stream of knowledge that may eventually reach the public -and shape society; therefore, Frontiers only applies the most rigorous and unbiased reviews. Frontiers revolutionizes research publishing by freely delivering the most outstanding research, evaluated with no bias from both the academic and social point of view. By applying the most advanced information technologies, Frontiers is catapulting scholarly publishing into a new generation. What are Frontiers Research Topics?Frontiers Research Topics are very popular trademarks of the Frontiers journals series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area.

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“…In a more recent work led by Emon et al (2021) a high-resolution sensor that allows self-assembly and culture of 3D tissue models was described. This sensor was applied to detect single and multiple cell forces in 3D matrices over long-term culture with a high resolution of 1 nN.…”

Section: The Incorporation Of Built-in Biosensors For Functional Asse...mentioning

confidence: 99%

Intersection of stem cell biology and engineering towards next generation in vitro models of human fibrosis

Wang

Zhao²,

Okhovatian³

et al. 2022

Front. Bioeng. Biotechnol.

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Human fibrotic diseases constitute a major health problem worldwide. Fibrosis involves significant etiological heterogeneity and encompasses a wide spectrum of diseases affecting various organs. To date, many fibrosis targeted therapeutic agents failed due to inadequate efficacy and poor prognosis. In order to dissect disease mechanisms and develop therapeutic solutions for fibrosis patients, in vitro disease models have gone a long way in terms of platform development. The introduction of engineered organ-on-a-chip platforms has brought a revolutionary dimension to the current fibrosis studies and discovery of anti-fibrotic therapeutics. Advances in human induced pluripotent stem cells and tissue engineering technologies are enabling significant progress in this field. Some of the most recent breakthroughs and emerging challenges are discussed, with an emphasis on engineering strategies for platform design, development, and application of machine learning on these models for anti-fibrotic drug discovery. In this review, we discuss engineered designs to model fibrosis and how biosensor and machine learning technologies combine to facilitate mechanistic studies of fibrosis and pre-clinical drug testing.

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A novel method for sensor-based quantification of single/multicellular force dynamics and stiffening in 3D matrices

Cited by 15 publications

References 62 publications

Synapses without tension fail to fire in an in vitro network of hippocampal neurons

Synapses without tension fail to fire in an in vitro network of hippocampal neurons

Bioengineering and Biotechnology Approaches in Cardiovascular Regenerative Medicine, Volume II

Intersection of stem cell biology and engineering towards next generation in vitro models of human fibrosis

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