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相关概念视频

Signal Transduction: Overview01:26

Signal Transduction: Overview

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Cells respond to many types of information, often through receptor proteins positioned on the membrane. They respond to chemical signals, such as hormones, neurotransmitters, and other signaling molecules, initiating a series of molecular reactions to produce an appropriate response. This is called signal transduction. Cells also coordinate different responses elicited by the same signaling molecule via mediators, allowing molecular cross-talk.
Typically, signal transduction involves three...
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Intracellular Signaling Cascades01:24

Intracellular Signaling Cascades

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Once a ligand binds to a receptor, the signal is transmitted through the membrane and into the cytoplasm. The continuation of a signal in this manner is called signal transduction. Signal transduction only occurs with cell-surface receptors, which cannot interact with most components of the cell, such as DNA. Only internal receptors can interact directly with DNA in the nucleus to initiate protein synthesis. When a ligand binds to its receptor, conformational changes occur that affect the...
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相关实验视频

Updated: Jan 8, 2026

Imaging Spatial Reorganization of a MAPK Signaling Pathway Using the Tobacco Transient Expression System
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Imaging Spatial Reorganization of a MAPK Signaling Pathway Using the Tobacco Transient Expression System

Published on: March 20, 2016

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使用空间转录组学重建空间感知受体-TF-目标信号级联的协议.

Yao Li1, Xiaobin Liu2, Xinkai Yan3

  • 1BGI Research, Qingdao 266555, China; Department of Food Science and Nutrition, The Hong Kong Polytechnic University, Hong Kong 999077, China.

STAR protocols
|December 12, 2025
PubMed
概括
此摘要是机器生成的。

这项研究引入了SpaGRN,这是一种新的基因调节网络分析方法,它考虑了空间信息. 它重建了组织中的空间感知信号通路,改善了对复杂生物系统的理解.

关键词:
生物信息学是一种生物信息学.计算机科学 计算机科学发育生物学是发展生物学.一个单细胞的单细胞.系统生物学 系统生物学

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Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection
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Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

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Mining Spatial Transcriptomics Datasets using DeepSpaceDB
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Mining Spatial Transcriptomics Datasets using DeepSpaceDB

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Mining Spatial Transcriptomics Datasets using DeepSpaceDB
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科学领域:

  • 空间转录组学 空间转录组学
  • 系统生物学 系统生物学
  • 生物信息学是一种生物信息学.

背景情况:

  • 基因调节网络 (GRNs) 对于细胞功能至关重要.
  • 现有的GRN推断方法往往忽视了转录学数据中的空间上下文.
  • 了解空间关系对于复杂的组织如胚胎和瘤至关重要.

研究的目的:

  • 提出一个用于重建空间感知基因调节网络的新方案.
  • 整合细胞外信号传输和空间依赖性,以改善GRN推断.
  • 为了使复杂的生物样本中信号通路的系统映射.

主要方法:

  • 使用SpaGRN统计框架.
  • 整合空间自相关性和共同表达分析.
  • 执行cis调节动机丰富和与受体相关的调节推理.
  • 采用3D可视化技术用于空间数据表示.

主要成果:

  • 成功重建受体-转录因子-目标调节级联与空间意识.
  • 展示SpaGRN在分析复杂组织方面的能力.
  • 开发一个用于空间GRN推断的综合协议.

结论:

  • SpaGRN为空间解析的GRN分析提供了一个强大的框架.
  • 该协议有助于更深入地了解发育和疾病背景下的信号通路.
  • 这种方法通过结合空间约束来增强空间转录组学数据的分析.