Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Longitudinal Single-Cell RNA-Sequencing Reveals Evolution of Micro- and Macro-states in Chronic Myeloid Leukemia.

Cancer research·2026
Same author

CIPHER: An end-to-end framework for designing optimized aggregated spatial transcriptomics experiments.

PLoS computational biology·2026
Same author

A class act: HDAC1- <i>Malat1</i> regulates MDSC apoptosis and cell cycling to decrease suppression of T cells.

bioRxiv : the preprint server for biology·2026
Same author

CIPHER: An end-to-end framework for designing optimized aggregated spatial transcriptomics experiments.

bioRxiv : the preprint server for biology·2026
Same author

Beyond RECIST: mathematical modeling and Bayesian inference reveal the importance of immune parameters in metastatic breast cancer.

bioRxiv : the preprint server for biology·2025
Same author

Longitudinal single cell RNA-sequencing reveals evolution of micro- and macro-states in chronic myeloid leukemia.

bioRxiv : the preprint server for biology·2025
Same journal

RNA-ligand complexes and the attenuation of neutral confinement in the evolution of RNA secondary structures.

Journal of the Royal Society, Interface·2026
Same journal

Individual detachment-reintegration events in homing pigeon flocks and the dominance of directional adjustment in their kinematic features.

Journal of the Royal Society, Interface·2026
Same journal

Thermal stress disrupts symbiotic fluid dynamics in bobtail squid.

Journal of the Royal Society, Interface·2026
Same journal

Distinct geometrical landscapes distinguish between modes of tristability in gene regulatory networks.

Journal of the Royal Society, Interface·2026
Same journal

Slow modulation of the contraction patterns in Physarum polycephalum.

Journal of the Royal Society, Interface·2026
Same journal

Moo-ving mountains: grazing agents drive terracette formation on steep hillslopes.

Journal of the Royal Society, Interface·2026
查看所有相关文章

相关实验视频

Updated: Jul 27, 2025

Single-Cell Calcium Imaging for Studying the Activation of Calcium Ion Channels
07:17

Single-Cell Calcium Imaging for Studying the Activation of Calcium Ion Channels

Published on: December 13, 2024

771

一个单细胞CaCa.

Xiaojun Wu1, Roy Wollman2,3, Adam L MacLean1

  • 1Department of Quantitative and Computational Biology, University of Southern California, 1050 Childs Way, Los Angeles, CA 90089, USA.

Journal of the Royal Society, Interface
|June 7, 2023
PubMed
概括
此摘要是机器生成的。

我们开发了贝叶斯单细胞分析方法,使用转移学习从基因表达和 (Ca2+) 信号推断细胞动态. 通过转录相似性对细胞进行排序,提高了区分信号配置文件和识别标记基因的准确性.

关键词:
贝叶斯的推理 贝叶斯的推理的信号传递.动态系统是动态系统.一个单细胞的单细胞.空间转录学 空间转录学

更多相关视频

Imaging Local Ca2+ Signals in Cultured Mammalian Cells
09:30

Imaging Local Ca2+ Signals in Cultured Mammalian Cells

Published on: March 3, 2015

10.8K
Cytosolic Calcium Measurements in Renal Epithelial Cells by Flow Cytometry
10:24

Cytosolic Calcium Measurements in Renal Epithelial Cells by Flow Cytometry

Published on: October 28, 2014

15.4K

相关实验视频

Last Updated: Jul 27, 2025

Single-Cell Calcium Imaging for Studying the Activation of Calcium Ion Channels
07:17

Single-Cell Calcium Imaging for Studying the Activation of Calcium Ion Channels

Published on: December 13, 2024

771
Imaging Local Ca2+ Signals in Cultured Mammalian Cells
09:30

Imaging Local Ca2+ Signals in Cultured Mammalian Cells

Published on: March 3, 2015

10.8K
Cytosolic Calcium Measurements in Renal Epithelial Cells by Flow Cytometry
10:24

Cytosolic Calcium Measurements in Renal Epithelial Cells by Flow Cytometry

Published on: October 28, 2014

15.4K

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:

  • 单细胞基因组技术为细胞异质性提供了前所未有的见解.
  • 在单细胞中整合基因表达和动态信号数据仍然是参数推断的挑战.

研究的目的:

  • 开发使用联合单细胞基因表达和Ca2+动态数据进行参数推断的贝叶斯方法.
  • 为了利用转移学习,在单细胞种群中进行高效的参数推断.
  • 为了研究转录状态和细胞信号传递动态之间的关系.

主要方法:

  • 贝叶斯参数推理框架.贝叶斯参数推理框架.
  • 转移学习方法用于在顺序分析的单个细胞之间共享信息.
  • 细胞内Ca2+信号的动态建模.
  • 对成千上万个单细胞进行分析,这些单细胞具有异质的反应.

主要成果:

  • 转移学习加速了对细胞序列的参数推断,无论细胞的顺序如何.
  • 通过转录相似性对细胞进行排序对于区分Ca2+动态配置文件和相关标记基因至关重要.
  • 推断揭示了复杂的细胞异质性,在细胞内和细胞间的背景下有不同的参数共变.

结论:

  • 单细胞参数推断,由转录相似性告知,可以量化基因表达和信号动态之间的关系.
  • 开发的方法提高了单细胞数据的实用性,以了解细胞动态和异质性.
  • 转录相似度排序是稳定识别细胞特异信号行为和分子标记物的关键.