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相关概念视频

Overview of Cell-Matrix Interactions01:24

Overview of Cell-Matrix Interactions

7.2K
The extracellular matrix or ECM holds cells together to form a tissue and allows the cells within the tissue to communicate. ECM comprises proteins such as fibronectin, collagen, laminin, etc. The most abundant protein in this space is collagen. Collagen fibers are interwoven with carbohydrate-containing protein molecules called proteoglycans. ECM allows cell migration and provides a structural scaffold at cell adhesion that anchors the cell when the extracellular matrix proteins interact with...
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Overview of Cell Signaling01:23

Overview of Cell Signaling

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Despite the protective membrane that separates a cell from the environment, cells need the ability to detect and respond to environmental changes. Additionally, cells often need to communicate with one another. Unicellular and multicellular organisms use a variety of cell signaling mechanisms to communicate with the environment.
Cells respond to many types of information, often through receptor proteins positioned on the membrane. For example, skin cells respond to and transmit touch...
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Neural Circuits01:25

Neural Circuits

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Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
1.3K
Cell-surface Signaling01:21

Cell-surface Signaling

51.8K
Hormones—or any molecule that binds to a receptor, known as a ligand—that are lipid-insoluble (water-soluble) are not able to diffuse across the cell membrane. In order to be able to affect a cell without entering it, these hormones bind to receptors on the cell membrane. When a first messenger, a hormone, binds to a receptor, a signal cascade is set off, causing second messengers, proteins inside the cell, to become activated, resulting in downstream effects.
51.8K
Overview of Cell-Cell Junctions01:14

Overview of Cell-Cell Junctions

25.6K
The complex three-dimensional arrangement of cells in any multicellular organism is defined and maintained by interactions of cells with each other and the extracellular matrix. Cell-cell junctions are specialized structures where the multi-protein complexes on one cell interact with the multi-protein complexes on another  cell. These cell junctions are classified  into three main types based on their function — occluding, anchoring, and gap junctions.
Occluding or Tight...
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Cell Signaling Feedback Loops01:07

Cell Signaling Feedback Loops

6.3K
Positive and negative feedback loops are crucial for regulating biological signaling systems. These feedback loops are processes that connect output signals to their inputs.
Negative feedback loops
Most signaling systems have negative feedback loops that can perform different functions such as output limiter, and adaptation.
Output limiter
Upon receiving an input signal, the cellular response rapidly increases until a threshold is reached. Beyond this threshold, a negative feedback loop...
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Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology
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CGCom:基于图形神经网络推断细胞-细胞通信的框架.

Honglin Wang, Chenyu Zhang, Seung-Hyun Hong

    bioRxiv : the preprint server for biology
    |November 28, 2023
    PubMed
    概括

    空间转录学使细胞间通信推断成为可能. 一个新的图形神经网络 (GNN) 框架,CGCom,使用空间数据准确预测通信模式,通过减少假阳性来优于现有方法.

    科学领域:

    • 计算生物学 计算生物学
    • 基因组学就是基因组学.
    • 细胞生物学 细胞生物学

    背景情况:

    • 细胞与细胞之间的沟通对于组织平衡和功能至关重要.
    • 空间转录学为研究细胞相互作用提供了前所未有的分辨率.
    • 从空间数据推断通信仍然是一个挑战.

    结论:

    • CGCom有效地利用空间解析的转录组数据进行准确的细胞-细胞通信预测.
    • 基于GNN的方法提高了推断通信网络的可靠性.
    • 这一框架促进了对复杂生物系统中细胞相互作用的理解.

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