Resources

Proteomics Databases



Metabolomics Databases

• • Advantages and Disadvantages of Label-Free Quantitative Proteomics

  Label-free quantitative proteomics (LFQ) is a powerful tool in protein research, enabling direct analysis of unlabeled protein samples through mass spectrometry, with relative quantification based on signal intensity. Compared to traditional labeling methods, LFQ presents several advantages in specific experimental scenarios but also comes with limitations.

• • Application of Label-Free Quantitative Proteomics

  Label-Free Quantitative Proteomics (LFQ) is a powerful method used for the relative quantification of proteins across different biological samples. By employing mass spectrometry (MS), LFQ avoids the complexity of chemical labeling, instead relying on the measurement of peptide ion intensities for protein quantification. Its ease of use and compatibility with high-throughput workflows have made it a crucial tool in diverse fields, including biomedicine, drug discovery, and biomarker identification.

• • Principle of Label-Free Quantitative Proteomics

  Proteomics is an essential tool for comprehensively studying protein expression and function within biological systems. Label-free quantitative proteomics is a technique that measures protein abundance directly through mass spectrometry (MS), eliminating the need for stable isotope labeling or chemical tags. This method is gaining prominence in proteomics research due to its simplicity, flexibility, and reduced sample requirements compared to other quantitative approaches.

• • Application of Quantitative Acetylproteomics

  As research into post-translational modifications (PTMs) progresses, acetylation has been identified as a pivotal modification that plays an essential role in regulating cellular function, signal transduction, and metabolism. Quantitative acetyl-proteomics, through the integration of mass spectrometry and proteomic analysis, provides a robust framework for comprehensively and quantitatively assessing the impact of acetylation in various biological processes.

• • Mechanism of Quantitative Acetylproteomics

  Acetylation is a common post-translational modification (PTM) involving the addition of an acetyl group to lysine residues of proteins. This modification plays a crucial role in various cellular processes, including cell cycle regulation, gene expression control, and metabolic regulation. To gain a deeper understanding of the functional roles of protein acetylation, quantitative acetyl-proteomics techniques have been widely employed.

• • Workflow of Quantitative Acetylproteomics

  Acetylation, a significant post-translational modification (PTM), plays a key role in cellular processes such as signal transduction, gene regulation, and metabolism. Quantitative acetylproteomics allows for large-scale analysis of protein acetylation, uncovering its dynamic changes under various biological conditions, thus helping researchers better understand the functional roles of acetylation.

• • Principle of Quantitative Acetylproteomics

  Post-translational modifications (PTMs) play a crucial role in regulating cellular functions. Among them, acetylation is one of the most common, impacting protein structure, function, and interactions with other molecules. Quantitative acetyl proteomics involves the high-throughput analysis of acetylated proteins and their changes under various physiological conditions, shedding light on their biological functions.

• • Mechanism of Quantitative Methylomics

  Methylomics focuses on studying the methylation states of biological macromolecules like DNA and proteins, and understanding their functional impacts. In genomic and epigenomic research, the modification of 5-methylcytosine (5mC) in DNA has been extensively studied. This modification plays a critical role in gene expression regulation, genomic stability, and cellular differentiation.

• • Application of Quantitative Methylomics

  Methylation is a common epigenetic modification that occurs at both the DNA and protein levels, influencing gene expression regulation, cell differentiation, development, and various other biological processes. Quantitative methylomics, utilizing high-throughput techniques, enables precise quantitative analysis of the levels and distribution patterns of DNA or protein methylation, allowing researchers to better understand epigenetic regulatory mechanisms.

• • Workflow of Quantitative Methylomics

  Methylation is one of the most common epigenetic modifications, impacting both DNA and proteins. It plays a pivotal role in the regulation of gene expression and cellular function. In genomic studies, DNA methylation changes are frequently associated with disease mechanisms, especially cancer development.