Resources

Proteomics Databases



Metabolomics Databases

• • Advantages and Disadvantages of iTRAQ in Proteomics

  Proteomics is an emerging discipline that studies the overall issues of protein expression, modification, interaction, function, and networks. In this field, quantitative analysis of proteins is considered one of the most important techniques. Among them, iTRAQ (isobaric tags for relative and absolute quantitation) technology has been widely used in quantitative proteomics.

• • Mass Spectrometry Analysis Methods for Peptides in Peptidomics

  Peptidomics is an increasingly important research direction in the field of biopharmaceuticals. It uses mass spectrometry as its core technology to comprehensively analyze peptides in complex biological samples, revealing the protein composition and function in organisms.

• • The Analysis of Peptide Composition and Function in Vivo Through Immuno-Mass Spectrometry

  The human immune system is our first line of defense against disease and infection, and peptides play a crucial role in it, making them the focus of research. However, due to the wide variety and complex functions of peptides, their in-depth study has always been a challenge in the field of biopharmaceuticals. Fortunately, the development of immune mass spectrometry analysis has brought new possibilities for deciphering the composition and function of peptides in the body.

• • Principle of Metabolomics Analysis

  Metabolomics is a pioneering field within life sciences that focuses on analyzing the dynamic changes of all small molecule metabolites in biological systems. These metabolites, which include carbohydrates, lipids, amino acids, nucleotides, and more, play crucial roles in various biological processes. Metabolomics analysis can reveal molecular mechanisms underlying diseases, evaluate drug responses, and predict disease progression.

• • Application of High-Throughput Proteomics in Gene Knockout Research

  Gene knockout technology is a powerful tool widely used to study gene function and regulatory networks. However, a comprehensive understanding of the effects of gene knockout on cells and tissues often requires more than gene expression data, as transcriptional changes do not always correlate with changes at the protein level.

• • Workflow of High-Throughput Proteomics for Gene Knockout

  High-Throughput Proteomics for Gene Knockout offers a powerful framework for understanding gene function and interactions within cells. By systematically analyzing protein expression changes, this approach sheds light on how gene knockout affects the proteome, enabling researchers to acquire comprehensive data efficiently. Leveraging high-throughput mass spectrometry and data analysis, proteomics has become indispensable in post-genomic editing research.

• • Advantages and Limitations of High-Throughput Proteomics in Gene Knockout

  High-throughput proteomics in gene knockout research has emerged as a powerful approach for systematically examining the impact of specific genes on the proteome, providing insights into gene function, protein expression, and interactions. This technique allows researchers to monitor how gene deletions affect protein abundance, post-translational modifications, and functional networks on a large scale.

• • Mechanism of Protein Interaction Network Analysis

  Within cells, proteins carry out and regulate biological functions through intricate interaction networks. The integration of relationships among individual proteins constructs a cellular regulatory map, enabling scientists to uncover the core mechanisms behind signal transduction, metabolic regulation, and gene expression processes.

• • Application of Protein Interaction Network Analysis

  Proteins are the fundamental executors of biological functions, and their interaction networks play a crucial role in biological research. Protein Interaction Networks (PINs) reveal interactions among proteins, offering key insights into the complexity and regulatory mechanisms of biological systems. Such network analysis supports understanding cellular processes, disease pathology, drug target screening, and more.

• • Workflow of Protein Interaction Network Analysis

  In modern molecular biology, the workflow of protein interaction network analysis has become central to understanding cellular functions and biological processes. By systematically mapping protein interactions, researchers can reveal complex biological mechanisms, identify new therapeutic targets, and provide insight into the molecular pathology of various diseases. As a result, the workflow of protein interaction network analysis finds applications across basic research and translational medicine.