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相关概念视频

Action Potential01:14

Action Potential

Neurons communicate by firing action potentials—the electrochemical signal that is propagated along the axon. The signal results in the release of neurotransmitters at axon terminals, thereby transmitting information to the nervous system. An action potential is a specific "all-or-none" change in membrane potential that results in a rapid spike in voltage.
Membrane potential in neurons
Neurons typically have a resting membrane potential of about -70 millivolts (mV). When they receive...
Generation of Action Potential in Skeletal Muscles01:24

Generation of Action Potential in Skeletal Muscles

Every cell in the body maintains a membrane potential due to an uneven distribution of positive and negative charges across its plasma membrane. The membrane potential is measured in millivolts and quantifies the difference in charge across the membrane.
Like neurons, muscle cells are also regarded as excitable due to their capacity to change in response to stimuli, primarily due to voltage-gated ion channels embedded in their plasma membranes, which get activated by alterations in the cell's...
Propagation of Action Potentials01:23

Propagation of Action Potentials

The propagation of an action potential refers to the process by which a nerve impulse, or "action potential," travels along a neuron.
Neurons (nerve cells) have a resting membrane potential, with a slightly negative charge inside compared to outside. This is maintained by ion channels, such as sodium (Na+) and potassium (K+) channels, which control the flow of ions. When a stimulus, like a touch or a signal from another neuron, triggers the neuron, sodium channels open, allowing sodium ions to...

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相关实验视频

Updated: May 12, 2026

Subtype-specific Optical Action Potential Recordings in Human Induced Pluripotent Stem Cell-derived Ventricular Cardiomyocytes
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基于梯度的参数优化方法开发的hiPSC-CMs的细胞特异模型适应了两个不同的动力电位波形.

Yixin Zhang1, Futoshi Toyoda2,3, Yukiko Himeno4,5

  • 1Graduate School of Life Sciences, Ritsumeikan University, Kusatsu, Japan.

Scientific reports
|June 7, 2024
PubMed
概括
此摘要是机器生成的。

在分析控制和阻塞波形时,参数优化成功识别了心脏动作潜在的离子电流. 这种方法应用于人类诱导的多能干细胞衍生的心肌细胞,即使在有噪音的数据中也被证明是可靠的.

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科学领域:

  • 心血管生理学心血管生理学
  • 计算生物学 计算生物学
  • 生物物理学的生物物理.

背景情况:

  • 参数优化 (PO) 方法用于使用计算模型确定心动电位 (AP) 波形中的离子电流组成.
  • 由于有限的信息,在PO方法中安装单个AP记录可能不足以提供独特的解决方案.

研究的目的:

  • 提高PO方法的准确性和可靠性,用于剖析心脏离子电流组成.
  • 用人类诱导多能干细胞衍生心肌细胞 (hiPSC-CMs) 的实验数据验证PO方法.

主要方法:

  • 用心膜激发的计算模型进行初始PO方法测试.
  • 将PO应用于一对控制和在中IKr阻断的AP波形.
  • 在来自hiPSC-CMs的实验AP记录上测试了PO方法,包括控制状态和IKr-blocked状态.
  • 实现了稳定的细分选择和代处理,以克服实验数据的挑战.

主要成果:

  • 当应用到in silico控制和单通道阻塞AP对时,PO方法表现出了完美的性能.
  • 从hiPSC-CMs同时安装实验控制器和IKr-blocked APs最初是具有挑战性的,因为信号噪声和可变性.
  • 选择稳定的记录段和采用代PO处理在很大程度上解决了技术问题.
  • 从优化参数得出的定量离子机制与已建立的生理学理解保持一致.

结论:

  • PO方法对于确定心脏离子电流组成非常有效,特别是在分析配对控制和阻塞AP波形时.
  • 具有稳定的细分选择的代PO增强了分析来自hiPSC-CMs的实验AP数据的稳定性.
  • 经过验证的PO方法为心脏电生理学提供了可靠的定量见解,与现有知识相一致.