互流:用于识别介导多个受体信号收的因素的最大流量框架
Ron Sheinin1, Koren Salomon2, Eilam Yeini2
1Blavatnik School of Computer Science, Tel Aviv University, Tel Aviv, 6997801, Israel.
我们开发了interFLOW,这是一个计算框架,通过绘制配体-受体相互作用和下游信号通路来分析细胞-细胞通信. 这种方法识别了关键的转录因子,整合了细胞反应的信号.
科学领域:
- 计算生物学 计算生物学
- 系统生物学 系统生物学
- 免疫学 免疫学 免疫学
背景情况:
- 细胞-细胞通信是复杂的,涉及多个受体-连接体相互作用和信号级联.
- 来自单细胞RNA测序 (scRNA-seq) 的基因表达数据为微环境中的这些相互作用提供了洞察力.
研究的目的:
- 开发一个计算框架,interFLOW,用于分析细胞细胞交叉通话.
- 为了绘制连体受体相互作用和下游信号通路的地图.
- 确定参与信号整合的关键转录因子.
主要方法:
- 在蛋白质-蛋白质相互作用网络上利用最大流量计算.
- 综合scRNA-seq数据来自不同的细胞子集.
- 模拟了从受体到转录因子的细胞内信号传导.
主要成果:
- 成功地绘制了细胞子集之间的潜在联体受体相互作用.
- 从受体到转录因子的下游信号的特征.
- 确定了关键的转录因子,这些因子是整合多个信号通路的核心.
结论:
- 互流框架允许对细胞间通信进行全面分析.
- 已识别的转录因子在整合来自不同细胞相互作用的信号方面发挥着至关重要的作用.
- 提供了一种新的方法来理解复杂的微环境中的细胞反应.
更多相关视频
08:49Identification of Mediators of T-cell Receptor Signaling via the Screening of Chemical Inhibitor Libraries
Published on: January 22, 2019
12:30Avidity-based Extracellular Interaction Screening AVEXIS for the Scalable Detection of Low-affinity Extracellular Receptor-Ligand Interactions
Published on: March 5, 2012
相关概念视频
Interactions Between Signaling Pathways
Convergence and divergence, and cross-talk between signaling pathways
Two distinct signaling pathways can converge on a single functional unit, which may either be a single protein or a complex of proteins. The response is either functionally distinct or synergistic between the two pathways but different from the response...
Assembly of Signaling Complexes
Interaction domains in cell signaling
Interaction domains recognize exposed features of their binding partners containing post-translationally modified sequences,...
Intracellular Signaling Cascades
Intracellular Signaling Affects Focal Adhesions
Some...
Diversity in Cell Signaling Responses
Graded and Abrupt Responses
Some signaling systems generate...
Overview of Cell-Matrix Interactions
