Search research articles

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 Journal Methods Collections JoVE Encyclopedia of Experiments 存档

教育

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual 教师资源中心教师网站

使用条款与条件

相关概念视频

Proteomics

Proteomics

A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term...

Ribosome Profiling

Ribosome Profiling

Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique...

Genomics

Genomics

Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...

Quantifying Work

Quantifying Work

As a system undergoes a change, its internal energy can change, and energy can be transferred from the system to the surroundings, or from the surroundings to the system.

Quantitative Analysis

Quantitative Analysis

Quantitative analysis is a technique for measuring the amount of specific constituents in a sample. When the sample's composition is unknown, qualitative analysis is performed first to identify its components, which ensures that the correct substances are measured during the quantitative phase.
In quantitative analysis, two key measurements are made: the sample quantity and a property proportional to the amount of the analyte (the substance being analyzed). This forms the basis of the...

Protein Networks

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...

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

Interleukin 23 promotes a pro-inflammatory Th17 cell state by stabilizing RORγt and suppressing glucocorticoid receptor activity.

Immunity·2026

Same author

Using Serially Collected Specimens to Investigate the Potential Population Genetic Consequences of Reported Declines in Eastern Woodland Salamanders.

Ecology and evolution·2026

Same author

Cargo and Biological Properties of Extracellular Vesicles Released from Human Adenovirus Type 4-Infected Lung Epithelial Cells.

Viruses·2025

Same author

BAHCC1 binds H4K20me1 to facilitate the MCM complex loading and DNA replication.

Nature communications·2025

Same author

Dynamic global acetylation remodeling during the yeast heat shock response.

bioRxiv : the preprint server for biology·2025

Same author

<i>Staphylococcus aureus</i> Proteins Implicated in the Reduced Virulence of <i>sarA</i> and <i>sarA/agr</i> Mutants in Osteomyelitis.

Microorganisms·2025

Same journal

K-attention: a biologically informed attention operator for data-efficient sequence-based omics modeling.

Briefings in bioinformatics·2026

Same journal

Accurate prediction of asparagine deamidation in biologics using advanced machine learning models.

Briefings in bioinformatics·2026

Same journal

scImmuneCo: a compendium of cell-type-specific functional modules for decoding immune responses from single-cell RNA-seq data.

Briefings in bioinformatics·2026

Same journal

scGenoByte: a GenoByte embedding transformer with biological priors for cell type annotation.

Briefings in bioinformatics·2026

Same journal

FerroScore: a statistical approach for quantifying tumor-related ferroptosis based on omics data.

Briefings in bioinformatics·2026

Same journal

METEOR: a data-adaptive Mendelian randomization method for powerful detection of shared and specific exposures underlying multiple outcomes.

Briefings in bioinformatics·2026

查看所有相关文章

Search research articles

相关实验视频

Updated: Jun 19, 2025

A Clinical Metaproteomics Workflow Implemented within Galaxy Bioinformatics Platform to Analyze Host-Microbiome Interactions Underlying Human Disease

A Clinical Metaproteomics Workflow Implemented within Galaxy Bioinformatics Platform to Analyze Host-Microbiome Interactions Underlying Human Disease

Published on: January 10, 2025

在谷歌云平台上的交互式学习模块中了解蛋白质组量化.

Kyle A O'Connell^1,2, Benjamin Kopchick^1,2, Thad Carlson^1,2

¹Center for Information Technology, National Institutes of Health, 9000 Rockville Pike, Bethesda MD, 20892, United States.

Briefings in bioinformatics

|July 23, 2024

概括

此摘要是机器生成的。

本研究介绍了一种基于云的交互式学习模块,用于定量蛋白质组学,利用谷歌云进行可访问的质谱数据分析. 它涵盖了使用R编程为研究人员的蛋白质量化,规范化和差异丰度分析.

关键词:

谷歌云平台是谷歌的云平台.质谱测量质谱测量质谱测量质量测量质谱测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量质量测量蛋白质组学蛋白质组学

更多相关视频

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics

Published on: October 19, 2021

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification

Published on: November 15, 2017

相关实验视频

Last Updated: Jun 19, 2025

A Clinical Metaproteomics Workflow Implemented within Galaxy Bioinformatics Platform to Analyze Host-Microbiome Interactions Underlying Human Disease

A Clinical Metaproteomics Workflow Implemented within Galaxy Bioinformatics Platform to Analyze Host-Microbiome Interactions Underlying Human Disease

Published on: January 10, 2025

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics

Published on: October 19, 2021

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification

Published on: November 15, 2017

科学领域:

蛋白质组学是指蛋白质组学.
生物信息学是一种生物信息学.
计算生物学计算生物学

背景情况:

定量蛋白质组学是一个快速发展的领域,由高分辨率质谱学驱动.
分析各种蛋白质组数据类型 (例如DDA,DIA,TMT) 需要在规范化,统计设计和编程方面具备专业知识.
现有的学习资源可能缺乏交互式,基于云的平台,用于实践数据分析培训.

研究的目的:

为定量蛋白质组学分析开发一个交互式学习模块.
提供使用云资源进行质谱数据分析的可访问培训.
为研究人员介绍蛋白质量化,规范化和差异丰度分析.

主要方法:

在NIGMS沙盒平台内开发基于云的学习模块.
使用谷歌云进行交互式数据访问和分析.
在一个带有R内核的Jupyter笔记本电脑中演示TMT10plex数据分析,包括用limma模型进行规范化和差异丰度分析.

主要成果:

该模块促进了对质谱术语,规范化方法和R编程基础知识的学习.
学习者获得实践经验,通过谷歌云平台进行蛋白质分子研究.
该模块有效地展示了从原始强度到差异丰度的端到端蛋白质组数据分析.

结论:

该NIGMS沙盒学习模块提供了对定量蛋白质组学的可访问和交互式方法.
基于云的平台提高了复杂数据分析培训的可访问性.
该资源为研究人员提供了现代蛋白质组数据解释的基本技能.