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

Empathy and attitudes toward palliative care among Chinese medical students: a cross-sectional study.

BMC palliative care·2026
Same author

Analysis of Lesion Shrinkage and Factors Influencing Shrinkage Following Radiofrequency Ablation of Breast Nodules: An Observational Study.

Journal of investigative surgery : the official journal of the Academy of Surgical Research·2026
Same author

Development and validation of a model for early prediction of severe/critical COVID-19 in elderly patients.

PeerJ·2026
Same author

A cross-sectional survey of knowledge, attitudes, and practices related to enteral nutrition interruptions among intensive care unit nurses.

BMC nursing·2026
Same author

Acylglycerol Kinase Sensitizes Glioblastoma to Temozolomide via Limiting Mitochondrial Damage Related Cellular Senescence.

Molecular carcinogenesis·2026
Same author

[An Improved Faster R-CNN Method for Wound Detection].

Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition·2026

相关实验视频

Updated: Jun 20, 2025

Incorporation of a Survivable Liver Biopsy Procedure in Mice to Assess Non-alcoholic Steatohepatitis NASH Resolution
04:14

Incorporation of a Survivable Liver Biopsy Procedure in Mice to Assess Non-alcoholic Steatohepatitis NASH Resolution

Published on: April 16, 2019

11.9K

在小鼠NASH模型中使用单细胞测序结合机器学习的关键因素查.

Yu-Mu Song1, Jian-Yun Ge1, Min Ding1,2

  • 1Guangdong Provincial Key Laboratory of Large Animal Models for Biomedicine, and South China Institute of Large Animal Models for Biomedicine, School of Pharmacy and Food Engineering, Wuyi University, Jiangmen, Guangdong, China.

Heliyon
|July 23, 2024
PubMed
概括

研究人员通过单细胞RNA测序和机器学习确定了16个与非酒精性脂肪肝炎 (NASH) 进展相关的核心基因. 这些发现为NASH提供了潜在的治疗点.

关键词:
核心基因 核心基因 核心基因机器学习 机器学习巨细胞是一个巨细胞.纳什·纳什 (Nash Nash) 是一个名为纳什的城市.单细胞RNA测序的一个细胞.

更多相关视频

An Advanced Murine Model for Nonalcoholic Steatohepatitis in Association with Type 2 Diabetes
10:17

An Advanced Murine Model for Nonalcoholic Steatohepatitis in Association with Type 2 Diabetes

Published on: April 26, 2019

7.0K
Application of Ultrasound and Shear Wave Elastography Imaging in a Rat Model of NAFLD/NASH
07:13

Application of Ultrasound and Shear Wave Elastography Imaging in a Rat Model of NAFLD/NASH

Published on: April 20, 2021

4.0K

相关实验视频

Last Updated: Jun 20, 2025

Incorporation of a Survivable Liver Biopsy Procedure in Mice to Assess Non-alcoholic Steatohepatitis NASH Resolution
04:14

Incorporation of a Survivable Liver Biopsy Procedure in Mice to Assess Non-alcoholic Steatohepatitis NASH Resolution

Published on: April 16, 2019

11.9K
An Advanced Murine Model for Nonalcoholic Steatohepatitis in Association with Type 2 Diabetes
10:17

An Advanced Murine Model for Nonalcoholic Steatohepatitis in Association with Type 2 Diabetes

Published on: April 26, 2019

7.0K
Application of Ultrasound and Shear Wave Elastography Imaging in a Rat Model of NAFLD/NASH
07:13

Application of Ultrasound and Shear Wave Elastography Imaging in a Rat Model of NAFLD/NASH

Published on: April 20, 2021

4.0K

科学领域:

  • 肝病学和免疫学 肝病学和免疫学
  • 基因组学和生物信息学

背景情况:

  • 非酒精性脂肪肝炎 (NASH) 是一种复杂的肝病,遗传驱动因素不明.
  • 识别关键基因对于开发向疗法至关重要.

研究的目的:

  • 确定和分析对非酒精性脂肪肝炎 (NASH) 进展至关重要的基因.
  • 为了利用单细胞RNA测序 (scRNA-seq) 和机器学习进行基因发现.

主要方法:

  • scRNA-seq分析以比较Chow和NASH组中的细胞种群.
  • 高维权基因共同表达网络分析 (hdWGCNA) 用于识别与NASH相关的基因模块.
  • 机器学习和深度学习 (CNN) 来识别核心基因及其与免疫细胞的相关性.

主要成果:

  • 在Chow和NASH组之间确定了不同的库弗尔细胞群.
  • 在NASH中涉及肝脏巨细胞的高信号相互作用.
  • 确定了150个与NASH相关的基因,机器学习突出显示了16个核心基因.
  • 核心基因和免疫细胞之间建立了密切的相关性.

结论:

  • scRNA-seq和机器学习有效地从大型数据集中识别与NASH相关的基因.
  • 这种方法为发现NASH新型治疗点提供了基础.