Resources
Proteomics Databases
Metabolomics Databases
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• Plasma Proteomic Analysis Methods
Plasma, the concentrated essence of the fluid in our bodies, contains more than 10,000 proteins. Fortunately, thanks to assiduously studied plasma proteomics, we can now peer into these microscopic worlds at incredibly fine levels of detail. But how to choose the appropriate method for plasma proteomic analysis? Proteins are the primary carriers of life activities and are the fundamental building blocks of our life.
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• How to Use Blood Proteomics to Analyze the Protein Expression of Biodiversity
Blood proteomics is a major area of research in the field of biopharmaceuticals. It provides crucial information about various physiological and pathological processes within a biological organism through comprehensive and in-depth analyses of the proteins in the blood. Research in blood proteomics not only aids in understanding protein expression in biological diversity, but also provides key insights for early diagnosis and treatment of diseases.
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• Cellular Proteomics Decipher Intracellular Protein-Protein Interaction Networks
Cellular proteomics is an important branch of biology that studies the structure and function of all proteins within cells. These proteins interact with each other, forming a complex network that is vital to cellular life processes. Therefore, unravelling this network and understanding the interactions between proteins is crucial for our understanding of the nature of life and the development of new drugs.
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• Acetylation Modification Diverse Site Analysis Methods
Acetylated proteomics is a highly focused research direction in the field of biopharmaceutical proteomics. Protein acetylation modification plays an important role in cell function regulation. The diversity and complexity of acetylation modification make it a hot spot of research. Acetylated proteomics is a comprehensive and systematic study of acetylated proteins, revealing the functions and mechanisms of acetylation modification in cell regulation. Acetylation modification not only regulates the ......
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• Mechanism of Differential Protein Analysis
Differential protein analysis enables researchers to detect changes in protein expression within organisms exposed to specific environments, disease states, or pharmacological treatments, providing insights into the roles proteins play in complex biological processes, employed to identify proteins that exhibit significant differences in expression levels under various conditions or among different sample groups. The fundamental principle of differential protein analysis involves comparing the differ......
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• Application of Differential Protein Analysis
Differential protein analysis enables researchers to compare protein expression levels under different physiological or pathological conditions, identifying proteins that show differential expression. This technique aids in the understanding of complex biological processes. At the core of differential protein analysis is the detection and quantification of protein expression differences between various samples. Typically, these samples represent distinct biological states, such as healthy versus dis......
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• Workflow of Differential Protein Analysis
Sample Preparation The workflow of differential protein analysis starts with sample preparation, a critical step to ensure accurate results. Depending on the biological samples, such as tissue or cells, proteins are extracted and prepared under identical conditions to avoid any experimental bias. This phase often involves lysis, protein solubilization, and reduction/alkylation of disulfide bonds, ensuring proteins are ready for further analysis. Protein Separation Once proteins are extracted, they m......
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• Principle of Differential Protein Analysis
Differential protein analysis (DPA) is a key methodology in proteomics used to investigate changes in protein expression between different biological conditions or samples. In recent years, DPA has been widely applied in areas such as disease research, drug discovery, and biomarker identification. Principles of Differential Protein Analysis 1. Sample Preparation and Protein Extraction DPA typically begins with a comparison of samples taken from distinct experimental groups, such as normal versus di......
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• Application of Proteomics Data Quality Metrics
Proteomics focuses on the systematic study of protein expression, function, and interactions within biological systems. The application of proteomics data quality metrics has thus become a critical tool to assess and ensure the validity and reproducibility of experimental outcomes. Proteomics research presents numerous challenges due to the complexity and variability of the data, which includes peptide spectra, protein identification, and quantitative analyses from mass spectrometry (MS).
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• Workflow of Proteomics Data Quality Assessment
Proteomics is a technique used to comprehensively analyze the entire set of proteins in a cell, tissue, or organism. Proteomics datasets often contain substantial amounts of noise, redundancy, and systematic biases. If left unchecked, these issues can lead to incorrect data interpretation. The primary goal of data quality assessment is to filter out inaccurate and low-quality protein identifications and quantifications, ensuring that research findings are based on robust data.
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