Resources

Proteomics Databases



Metabolomics Databases

• • ESI-MS Protein Analysis

  ESI-MS protein analysis has emerged as a critical tool for elucidating protein structures and functions, primarily employed in the assessment of molecular weight, structural characteristics, complex formations, and interactions with other molecules. By integrating liquid chromatography with mass spectrometry, ESI-MS facilitates the analysis of complex samples. The heart of this method is the electrospray process: a sample solution is dispensed through a capillary under high voltage, creating charged d......

• • Far-Western Blot Analysis in Protein Interaction Studies

  Far-Western Blot analysis, an advancement over traditional protein blotting techniques, enables the separation and identification of protein-protein interactions within complex biological samples. This technique is pivotal for identifying and validating protein binding partners, which is crucial for understanding cellular signaling pathways, elucidating disease mechanisms, advancing drug development, and identifying biomarkers. As a highly specific and sensitive detection method, Far-Western Blot anal......

• • Quantitative Proteomics: Strategies, Advantages, and Challenges

  Quantitative proteomics studies protein expression levels and their dynamic changes, widely applied in fields such as life sciences, medical research, and biopharmaceuticals. By systematically quantifying proteins in biological systems (e.g., cells, tissues, fluids, or organisms), researchers can analyze changes in proteins under different conditions, revealing biological mechanisms, disease progression, and potential drug effects. Quantitative proteomics primarily uses high-throughput mass spectromet......

• • Bioinformatics in Proteomics: Data Analysis and Interpretation

  Proteomics analysis involves the systematic identification and quantification of the entire set of proteins within biological systems, which helps uncover the fundamental principles governing life processes. This field is applicable in disease research, drug discovery, and personalized medicine, among other areas. In proteomics analysis, data analysis and interpretation are crucial, with bioinformatics providing essential support for these tasks. As mass spectrometry technologies advance, the volume a......

• • High-Throughput Proteomics: Techniques and Emerging Trends

  High-throughput proteomics provides critical support for disease research, drug development, and personalized medicine by enabling large-scale analysis and quantification of proteins in biological systems. In recent years, advancements in mass spectrometry technology and data analysis methods have broadened the scope of high-throughput proteomics in biomedical research, spanning areas from single-cell proteomics to spatial proteomics. This field relies on advanced mass spectrometry, automated sample........

• • Native Mass Spectrometry: Principles, Advantages, and Experimental Strategies

  Principles Native Mass Spectrometry analysis is a high-resolution analytical technique that enables the direct detection of intact proteins and protein complexes while preserving their native structures. Unlike traditional enzyme digestion-based mass spectrometry approaches, Native MS does not require protein fragmentation into peptides. Instead, it utilizes gentle ionization techniques, such as electrospray ionization (ESI), to transfer intact proteins into the gas phase while maintaining their struc......

• • 7 Proven Methods to Enhance Protein Identification Accuracy

  Protein identification is a fundamental process in proteomics research, and its accuracy is critical for ensuring the reliability of biological studies, elucidating disease mechanisms, and advancing drug development. The inherent complexity, structural diversity, and wide dynamic range of proteins present challenges for conventional identification methods, including limitations in sensitivity, specificity, and throughput. To address these challenges, researchers must continually refine experimental ap......

• • Avoid Inaccurate Results With These Advanced Protein Identification Methods

  In proteomics research, data bias is a major factor contributing to inaccurate and inconsistent protein identification results. Variability introduced at any stage-ranging from sample preparation to experimental execution and data analysis-can compromise data integrity and hinder reproducibility. Without proper control, these biases may obscure biological interpretations and mislead scientific conclusions. This paper provides a systematic analysis of common sources of bias in protein identification an......

• • Monosaccharide Analysis

  Monosaccharide analysis involves examining the structural, compositional, and quantitative attributes of single sugar molecules. As the most fundamental carbohydrates, monosaccharides comprise 3 to 9 carbon atoms and serve as foundational units for larger carbohydrate compounds. Within biological systems, they function as primary energy sources and structural elements, integral to numerous biochemical and metabolic processes. This analysis offers insights into cellular metabolism, signal transduction,......

• • Glycoproteomics Analysis

  Glycoproteomics analysis is a specialized branch of proteomics analysis dedicated to studying protein glycosylation, a post-translational modification in which carbohydrate chains are covalently attached to proteins. Glycosylation is a ubiquitous biological process that profoundly influences protein stability, solubility, and biological activity. It plays essential roles in cell-cell recognition, signal transduction, immune responses, and disease pathogenesis. Due to its structural complexity and func......