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

Overview of Lipid Metabolism01:24

Overview of Lipid Metabolism

Lipid metabolism is a crucial process in the human body that involves the synthesis and degradation of lipids. This process is essential for energy production, cell membrane formation, and hormone production, among other functions.
Lipolysis: The Breakdown of Lipids:
Lipolysis is the process of breaking down lipids, particularly triglycerides, into glycerol and fatty acids. This process typically occurs in the adipose tissue and is triggered by various hormones, including glucagon and...

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

Artificial Intelligence-Based LC-OzESI-MRM for Isomer-Resolved Triacylglycerol Profiling by In-Source Ozonolysis.

Analytical chemistry·2026
Same author

Sleep-dependent clearance of brain lipids by peripheral blood cells.

Nature·2026
Same author

Accessing Higher Order Mathieu Space Stability Zones to Narrow Isolation Widths Using Digital Quadrupole Time-of-Flight Mass Spectrometry.

Journal of the American Society for Mass Spectrometry·2025
Same author

Lesion-remote astrocytes govern microglia-mediated white matter repair.

Nature·2025
Same author

Sleep-dependent clearance of brain lipids by peripheral blood cells.

bioRxiv : the preprint server for biology·2025
Same author

Recurrent Neural Networks Predict Future Peptide Aggregation for Drug Development.

Molecular pharmaceutics·2025
Same journal

Poisoning the Genome: Targeted Backdoor Attacks on DNA Foundation Models.

ArXiv·2026
Same journal

Mechanistic mathematical model of the in vitro infection dynamics of Bunyamwera and Batai viruses including MOI-dependent shortening of the eclipse phase.

ArXiv·2026
Same journal

AI-Driven Lumped-Element Modeling of Human Respiratory System for Studying Voice Mechanics.

ArXiv·2026
Same journal

Beyond Algorithms: Conceptual Innovation in Medical Imaging AI.

ArXiv·2026
Same journal

Feynman Kac Reweighted Schrödinger Bridge Matching for Surface-Based Tau PET Harmonization.

ArXiv·2026
Same journal

Agentic Discovery of Non-Canonical Antimicrobial Peptides with AMPGAN v3.

ArXiv·2026
查看所有相关文章

相关实验视频

Updated: May 12, 2026

Lipidomics and Transcriptomics in Neurological Diseases
09:58

Lipidomics and Transcriptomics in Neurological Diseases

Published on: March 18, 2022

3.5K

使用大型语言模型进行全面的脂质学自动化工作流程.

Connor Beveridge, Sanjay Iyer, Caitlin E Randolph

    ArXiv
    |April 2, 2024
    PubMed
    概括
    此摘要是机器生成的。

    综合性脂管学自动化工作流程 (CLAW) 平台通过自动化数据分析和结构识别来简化脂管学. 它集成了统计工具和人工智能代理,用于高通量脂管学研究.

    科学领域:

    • 生物化学 生物化学
    • 分析化学 分析化学
    • 生物信息学是一种生物信息学.

    更多相关视频

    Shotgun Lipidomics of Rodent Tissues
    11:46

    Shotgun Lipidomics of Rodent Tissues

    Published on: November 18, 2022

    2.0K
    A Workflow for Lipid Nanoparticle LNP Formulation Optimization using Designed Mixture-Process Experiments and Self-Validated Ensemble Models SVEM
    13:54

    A Workflow for Lipid Nanoparticle LNP Formulation Optimization using Designed Mixture-Process Experiments and Self-Validated Ensemble Models SVEM

    Published on: August 18, 2023

    4.5K

    相关实验视频

    Last Updated: May 12, 2026

    Lipidomics and Transcriptomics in Neurological Diseases
    09:58

    Lipidomics and Transcriptomics in Neurological Diseases

    Published on: March 18, 2022

    3.5K
    Shotgun Lipidomics of Rodent Tissues
    11:46

    Shotgun Lipidomics of Rodent Tissues

    Published on: November 18, 2022

    2.0K
    A Workflow for Lipid Nanoparticle LNP Formulation Optimization using Designed Mixture-Process Experiments and Self-Validated Ensemble Models SVEM
    13:54

    A Workflow for Lipid Nanoparticle LNP Formulation Optimization using Designed Mixture-Process Experiments and Self-Validated Ensemble Models SVEM

    Published on: August 18, 2023

    4.5K

    背景情况:

    • 脂管学数据的复杂性和结构多样性对手册注释和解释构成挑战.
    • 现有的软件缺乏自动化方法生成和与统计和生物信息学工具的集成.

    结论:

    • CLAW显著增强了高通量脂质结构识别.
    • 该平台简化了复杂的脂管学数据分析,帮助研究人员在各种生物和化学应用中.
    • CLAW促进了自动化脂管学工作流程,将数据采集与基于人工智能的先进生物信息分析集成在一起.