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相关概念视频

Non-equilibrium in the Cell01:16

Non-equilibrium in the Cell

An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...
Protein Dynamics in Living Cells01:19

Protein Dynamics in Living Cells

Different fluorescence-based techniques are used to study the protein dynamics in living cells. These techniques include FRAP, FRET, and PET.
Fluorescent recovery after photobleaching (FRAP) is a fluorescent-protein-based detection technique used to quantify protein movement rates within the cell. This method exposes a small portion of the cell to an intense laser beam. The laser beam causes permanent photobleaching of the fluorophore-tagged proteins in the exposed region. As the bleached...
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...

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相关实验视频

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Quantifying Spatiotemporal Parameters of Cellular Exocytosis in Micropatterned Cells
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DIISCO:一个贝叶斯框架,用于从时间序列单细胞数据中推断动态细胞间相互作用.

Cameron Park1,2,3, Shouvik Mani2,4,3, Nicolas Beltran-Velez4

  • 1Department of Biomedical Engineering, Columbia University, New York, NY 10027, USA.

bioRxiv : the preprint server for biology
|November 28, 2023
PubMed
概括
此摘要是机器生成的。

DIISCO是一个新的贝叶斯框架,通过单细胞RNA测序,随着时间的推移跟踪细胞-细胞通信动态. 它揭示了细胞相互作用如何演变,提供了对生物过程和疾病进展的见解.

关键词:
细胞与细胞之间的通信.可能性的建模.一个单细胞的奥米克.时间序列数据数据时间序列数据.变量推理推理是不同的.

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科学领域:

  • 计算生物学 计算生物学
  • 系统生物学 系统生物学
  • 基因组学就是基因组学.

背景情况:

  • 了解动态细胞-细胞通信对于生物过程,疾病和治疗反应至关重要.
  • 目前的方法难以捕捉时间依赖的细胞间相互作用,并且依赖于有限的数据库.

研究的目的:

  • 开发一种新的计算框架来描述细胞细胞通信的时间动态.
  • 为了使细胞间相互作用的分析使用多个时间点单细胞RNA测序数据.

主要方法:

  • 实施了一个贝叶斯框架,名为DIISCO (通过CO进化进行细胞间信号的动态推理).
  • 利用结构化的高斯过程回归来建模时间解析的细胞类型相互作用.
  • 结合了对受体-连接体复合体的先前知识,以增强相互作用推断.

主要成果:

  • 使用模拟数据证明了DIISCO的可解释性和有效性.
  • 应用了DIISCO来分析CAR-T细胞和淋巴瘤细胞共同培养数据.
  • 在实验数据中成功发现了动态的细胞-细胞交叉语音模式.

结论:

  • DIISCO提供了一种强大的方法来剖析细胞间通信的时间动态.
  • 该框架增强了对生物系统,疾病机制和治疗干预措施的理解.
  • 迪斯科 (DIISCO) 便于从多个时间点的单细胞数据中发现新的细胞间信号通路.