Resources

• • How to Analyze Peptide Structures in Complex Samples Using Cross-Linking Mass Spectrometry?

  Peptide drugs are highly regarded in the field of biopharmaceuticals due to their high efficacy and lower toxicity. However, the complex structure of peptides makes it crucial to have a comprehensive understanding of their properties and functions. Cross-linking mass spectrometry (XL-MS) technology has emerged as a powerful tool that provides valuable insights into the mysteries of peptide structures in complex samples.

• • Protein Mass Spectrometry Analysis of Interacting Protein Samples

  In the field of biopharmaceuticals, protein-protein interactions are the basis of many biological processes and also play an important role in drug development. In order to gain a deeper understanding of the function and regulation mechanisms of interacting proteins, scientists employ protein mass spectrometry analysis, which is a powerful tool that helps us comprehensively analyze interacting protein samples and thus drive the development of the biopharmaceutical field.

• • MRM-Based Analysis of Targeted Proteomics

  Targeted proteomics is a highly specific and sensitive method for quantitative protein analysis, widely applied in biomarker validation, disease research, and drug development. Multiple Reaction Monitoring (MRM) is one of the most commonly used methods in targeted proteomics. MRM analysis relies on mass spectrometry to selectively monitor precursor ions and their fragment ions of specific peptides, achieving high sensitivity and precision in quantifying target proteins.

• • Detection of Peptides by Tandem Mass Spectrometry

  Tandem Mass Spectrometry (MS/MS) is a widely utilized analytical tool in modern proteomics for qualitative and quantitative detection of peptides and proteins. With its high sensitivity, specificity, and resolution, MS/MS has become essential in analyzing complex biological molecules.

• • Detection and Visualization of Protein Interactions Using Bioinformatics Methods

  Protein-protein interactions (PPIs) play a critical role in regulating cellular functions and ensuring normal physiological activities. Understanding and exploring PPIs not only contributes to elucidating complex molecular networks but also holds significant value in disease mechanism research and drug target development. With advances in bioinformatics, computational PPI detection and visualization methods have increasingly become valuable tools for studying protein interactions.

• • 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.

• • 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.

• • 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.

• • 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.

• • 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.