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相关概念视频

Cell Migration01:09

Cell Migration

Cell migration, the process by which cells move from one location to another, is essential for the proper development and viability of organisms throughout their life. When cells are not able to migrate properly to their ordained locations, various disorders may occur. For example, disruption in cell migration causes chronic inflammatory diseases such as arthritis.
TGF - β Signaling Pathway01:16

TGF - β Signaling Pathway

The TGF-β signaling pathway regulates cell growth, differentiation, adhesion, motility, and development. TGF-β ligands that induce TGF-β signaling are synthesized in their latent form. Several proteases or cell surface receptors such as integrins act upon the latent form, releasing the active ligand. There are three types of mammalian TGF-βs: (TGF-β1, TGF-β2, and TGF-β3) that bind as homodimers or heterodimers to TGF-β receptors. The TGF-β receptors are of three kinds RI, RII, and RIII. The RI...
Actin Polymerization and Cell Motility01:13

Actin Polymerization and Cell Motility

Actin is a family of globular proteins that are highly abundant in eukaryotic cells. It makes up approximately 1-5% of total cell protein concentration. Actin monomers polymerize to form a complex network of polarized filaments, the actin cytoskeleton, that plays a crucial role in many cellular processes, including cell motility, division, endocytosis, and metastasis of cancer cells.
Actin cytoskeleton dynamics can produce pushing, pulling, and resistance forces that help the cell to migrate.
Cytoskeletal Coordination in Cell Migration01:32

Cytoskeletal Coordination in Cell Migration

A migrating cell changes its shape during the cyclic events of attachment and detachment from the substratum and repositions the cell organelles correspondingly. These complex events are orchestrated by the dynamic cytoskeletal network comprising actin filaments, intermediate filaments, and microtubules. Cytoskeletal crosstalk — the direct and indirect communication between the different components — is crucial for this coordination. Direct communication involves various linker proteins that...
T Cell Activation and Clonal Selection01:22

T Cell Activation and Clonal Selection

T cells are integral to our adaptive immune system, recognizing and effectively responding to foreign antigens. T cell activation and clonal selection are pivotal in orchestrating this immune response. This article elucidates these mechanisms, detailing the roles of cluster of differentiation (CD) markers, major histocompatibility complex (MHC) molecules, costimulatory signals, and the process of clonal selection.
Naive T cells that have not yet encountered an antigen express two primary CD...
tRNA Activation02:26

tRNA Activation

Aminoacyl-tRNA synthetases are present in both eukaryotes and bacteria. Though eukaryotes have 20 different aminoacyl-tRNA synthetases to couple to 20 amino acids, many bacteria do not have genes for all of these aminoacyl-tRNA synthetases. Despite this, they still use all 20 amino acids to synthesize their proteins. For instance, some bacteria do not have the gene encoding the enzyme that couples glutamine with its partner tRNA. In these organisms, one enzyme adds glutamic acid to all of the...

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相关实验视频

Updated: Jun 15, 2026

Author Spotlight: Understanding Disease Mechanisms Through Real-Time Analysis of T-Cell Migration
06:42

Author Spotlight: Understanding Disease Mechanisms Through Real-Time Analysis of T-Cell Migration

Published on: May 24, 2024

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将T细胞动态映射到分子配置文件,通过行为引导的转录学.

A K L Wezenaar1,2, U Pandey1,2, F Keramati1

  • 1Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands.

Nature protocols
|February 10, 2025
PubMed
概括
此摘要是机器生成的。

这项研究引入了行为引导转录学 (BGT),将实时成像与单细胞RNA测序相结合,以将T细胞行为与其基因表达联系起来. 这种方法可以识别生物标志物,以提高癌症免疫疗法的有效性.

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相关实验视频

Last Updated: Jun 15, 2026

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科学领域:

  • 癌症研究 癌症研究
  • 免疫学 免疫学 免疫学
  • 生物技术是生物技术.

背景情况:

  • 细胞免疫疗法和免疫瘤学共同培养对于评估抗瘤反应至关重要.
  • BEHAV3D平台提供T细胞与瘤相互作用的3D实时成像,但缺乏分子洞察力.
  • 单细胞RNA测序 (scRNA-seq) 提供了分子数据,但缺乏时空分辨率.

研究的目的:

  • 将实时成像数据与scRNA-seq集成,以全面了解癌症治疗中的T细胞行为.
  • 开发行为引导转录学 (BGT),将动态T细胞行为与特定的基因程序联系起来.
  • 确定用于增强细胞免疫疗法治疗疗效的新生物标志物.

主要方法:

  • 扩展BEHAV3D协议,将scRNA-seq.纳入其中.
  • 使用实时成像数据来指导基于患者衍生瘤有机体 (PDO) 参与的细胞分离.
  • 使用光激活细胞分类 (FACS) 和scRNA-seq.
  • 整合in silico模拟以从转录基因数据推断T细胞行为.

主要成果:

  • 成功整合动态T细胞成像与单细胞转录组学.
  • 在瘤向过程中识别与特定的T细胞行为相关的基因程序.
  • 发现了新的生物标志物,表明了功能性和无效的T细胞.
  • 证明BGT在增强治疗疗效方面的潜力.

结论:

  • 行为引导转录学 (BGT) 弥合了动态细胞行为和分子概况之间的差距.
  • 通过BGT,可以发现优化癌症免疫治疗的生物标志物.
  • 该协议具有适应性,易于使用,可以在一个月内完成.