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S2Map:一个新的计算平台,通过细胞分泌信号地图识别分泌类型

Zongliang Yue¹, Lang Zhou², Peizhen Sun²

¹Department of Health Outcomes Research and Policy, Harrison College of Pharmacy, Auburn University, Auburn, AL, 36849, United States.

Bioinformatics advances

|April 7, 2025

概括

我们开发了分泌信号地图 (S2Map),这是一个可视化单细胞分泌信号的在线平台. S2Map使用新的指标来分析信号模式,有助于理解细胞通信和免疫细胞功能.

科学领域:

细胞生物学细胞生物学
免疫学免疫学免疫学
生物信息学是一种生物信息学.

背景情况:

细胞通信依赖于分泌的蛋白质,异常模式表明生理问题.
了解单细胞分泌是解读调节机制的关键.

研究的目的:

介绍分泌信号地图 (S2Map),这是一个用于可视化和解释细胞分泌信号的分析平台.
为了在单细胞水平上探索细胞分泌模式.

主要方法:

开发了S2Map,这是一个用于分析细胞分泌信号的交互式在线平台.
纳入了新的指标:信号不平等指数 (SII) 和信号覆盖率指数 (SCI) 用于时间数据分析.
利用时间序列分析和多层可视化用于信号描绘.

主要成果:

S2Map在视觉上表示了不同的细胞分泌信号模式.
在SII和SCI有效区分模拟信号扩散模型.
单细胞分泌信号数据的存储库使得新的细胞分泌类型的探索成为可能.

结论:

在单细胞水平上分析复杂的生理系统,S2Map提供了一个强大的工具.
该平台提供了对蛋白质生产调节的见解,例如细胞因子.
S2Map促进了基于分泌信号的细胞表型的新范式.

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