Resources
Proteomics Databases
Metabolomics Databases
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DDA&DIA mass spectrometry are two fundamental methodologies in modern proteomics research. DDA&DIA mass spectrometry have distinct characteristics, making them complementary in proteomic studies. DDA, a conventional mass spectrometry acquisition strategy, has been widely employed in protein identification and quantification. It is also instrumental in mapping protein-protein interaction networks, which is essential for understanding cellular functions and interaction mechanisms. In the field of biom......
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• Quantitative Phosphoproteomics
Quantitative phosphoproteomics is extensively employed in biomedical research to elucidate the intricate mechanisms of cellular signaling and protein function regulation. Phosphorylation, a crucial post-translational modification, influences protein activity, localization, and interactions with other molecules. It plays a pivotal role in cellular function regulation and underpins numerous biological processes, including cell cycle control, metabolic pathway regulation, and cell differentiation and sur......
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• Single Cell Analysis Targeting the Proteome
Single cell analysis targeting the proteome aims to elucidate the biological functions and dynamic changes of proteins at the individual cell level. Traditional proteomics studies typically require bulk cell populations to detect and quantify protein molecules, which can obscure cellular heterogeneity. In contrast, single cell analysis targeting the proteome enables the identification of molecular characteristics unique to individual cells, providing critical insights into cellular functions, intercel......
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Label-Free Quantification (LFQ) is a form of quantitative proteomics that eliminates the need for isotopic or fluorescent labeling of samples. By assessing the relative abundance of peptides in a sample through mass spectrometry, LFQ delivers high sensitivity and throughput in protein quantification while preserving the sample's structural integrity. LFQ crucially examines variations in relative protein abundance across different samples or treatment conditions, thereby unveiling potential biological ......
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• Quantitative Glycoproteomics
Quantitative glycoproteomics involves the quantitative analysis of glycosylated proteins, integrating techniques from both proteomics and glycobiology. Glycoproteins, a modified protein form, are crucial in various cellular processes such as cell recognition, signal transduction, and immune responses. The glycosylation state affects the physicochemical properties, stability, and biological functions of proteins. As a result, quantitative glycoproteomics research is essential for understanding protein ......
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Multidimensional Protein Identification Technology (MUDPIT) is a high-throughput proteomics method that integrates liquid chromatography (LC) and mass spectrometry (MS). It is particularly effective for identifying and quantifying complex protein mixtures, such as those found in cell lysates, tissue samples, and subcellular components. By enhancing the depth and coverage of protein identification, MUDPIT is widely utilized in biomedical research, drug development, and studies of disease mechanisms. De......
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Tandem Mass Tag (TMT) is a widely-used chemical labeling method in proteomics research, which leverages isotopic tags of varying masses to label proteins across different samples. These tags consist of three components: a reporter group, a balance group, and a reactive group. The reactive group specifically binds to amino groups on proteins, covalently attaching the tag. In tandem mass spectrometry, peptides labeled with Tandem Mass Tag (TMT) from different samples show identical mass in the primary s......
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Polysaccharide analysis serves as a critical methodology for elucidating the molecular structure, function, and interactions of complex carbohydrate polymers. Polysaccharides, consisting of monosaccharide units linked by glycosidic bonds, are prevalent in plants, animals, and microorganisms. These macromolecules fulfill essential physiological roles, including energy storage, structural support, cellular recognition, and signal transduction. The principal objective of polysaccharide analysis is to det......
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Bottom-up mass spectrometry is a classical analytical technique in proteomics used for detailed analysis of complex protein samples' amino acid sequences. Unlike traditional top-down methods, this approach involves enzymatically digesting intact proteins into smaller peptide fragments, which are then analyzed using mass spectrometry to obtain structural information. This method is particularly effective for large-scale protein identification and quantification and is widely applied in fields such as p......
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• Interaction Network Analysis
Interaction network analysis is a prominent technique in biological research that seeks to elucidate the complex biological processes within cells and organisms by examining molecular interactions. In the cellular environment, molecules such as proteins, nucleic acids, and lipids interact intricately to sustain essential life functions. By constructing networks of these interactions, interaction network analysis aids researchers in deciphering cellular mechanisms, understanding disease pathogenesis, a......
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