Resources

Proteomics Databases



Metabolomics Databases

• • How to Integrate Shotgun Proteomics and Targeted Proteomics for Joint Analysis?

  In life science research, proteins are central executors of biological function. Their expression levels, modification states, and interaction networks often directly shape cellular fate and disease progression. To comprehensively characterize these dynamic changes, a range of mass spectrometry–based approaches has been developed. Among the most widely used are Shotgun proteomics (data-dependent acquisition, DDA) and targeted proteomics (e.g., PRM/MRM). Nevertheless, each approach has notable limitati......

• • Histone Modifications in Health and Disease

  The Human Genome Project delineated the human genetic blueprint; however, DNA sequence information alone is insufficient to account for the complexity of cell fate determination. Cells that share an identical genome can nonetheless perform markedly distinct functions across tissues, a divergence that is largely attributable to epigenetic regulation. Within this regulatory framework, histone modifications constitute a central and highly dynamic mechanism that shapes gene expression, chromatin organizat......

• • Application of DIA Technology in Ubiquitin Proteomics

  Ubiquitination is a major post-translational modification (PTM) in which the 76-amino-acid ubiquitin protein is covalently attached to lysine residues of substrate proteins. This modification regulates a wide range of cellular processes, including protein stability, signal transduction, and DNA repair. Conventional mass spectrometry strategies such as data-dependent acquisition (DDA) have enabled the identification of ubiquitinated peptides, yet they often suffer from sampling bias and missing values.......

• • Advantages and Challenges of TMT Labeling for Lysine Acetylation Quantification

  Lysine acetylation is a key post-translational modification (PTM) that broadly contributes to fundamental biological processes, including chromatin remodeling, metabolic regulation, and signal transduction. Although its biological roles have been progressively elucidated, robust quantitative profiling remains technically challenging because acetylation is typically low in stoichiometry, highly dynamic, and tightly coupled to tissue context. Achieving sensitive, high-throughput, and reproducible quanti......

• • What Is Label-Free Analysis?

  In multi-omics research areas such as proteomics and metabolomics, quantitative analysis is fundamental to the interpretation of biological variation. With the rapid advancement of mass spectrometry technologies, label-free analysis, commonly referred to as Label-Free Quantification (LFQ), has increasingly been adopted as a primary strategy for quantitative proteomic studies owing to its high throughput, cost efficiency, and streamlined workflow. Label-free analysis enables the relative quantification......

• • What Is Protein-Protein Interaction (PPI) Network Visualization? Recommended Tools and Software

  Protein-protein interaction (PPI) networks represent a fundamental analytical framework for elucidating cellular functions, signaling pathway regulation, and disease mechanisms. Protein-protein interaction visualization involves the graphical representation of complex interaction relationships, enabling researchers to intuitively identify key proteins, functional modules, and network topological features, thereby facilitating biological interpretation and discovery. What Is Protein-Protein Interactio......

• • What Is High-Throughput PPI Screening and What Are the Cutting-Edge Technologies?

  High-throughput protein-protein interaction (PPI) screening refers to a set of methodologies that leverage automation and large-scale experimental platforms to systematically detect and analyze interactions among large numbers of proteins within a limited time frame. This strategy is essential for protein function annotation, signaling pathway elucidation, investigation of disease mechanisms, and drug target discovery, and represents a key enabling tool for deciphering cellular networks and biological......

• • How to Process Shotgun Proteomics Data in Multi-Omics Integration?

  In multi-omics integration analyses, appropriate processing of Shotgun proteomics data is of critical importance. Proteomics data are inherently semi-quantitative, characterized by a high proportion of missing values and substantial variability across samples and analytical platforms. Inadequate data handling can therefore substantially impair integrative analyses with other omics layers, including genomics, transcriptomics, and metabolomics. Shotgun Proteomics: Data Characteristics and Challenges Sh......

• • Disulfide Bonds in Proteins: Formation, Function, and Analytical Methods

  Within the precise architecture of biomolecules, disulfide bonds are often overlooked yet fundamentally important chemical linkages. They are formed through covalent bonding between the sulfur atoms of two cysteine residues and can significantly enhance the structural stability and functional robustness of proteins. In particular, in key biomolecules such as secretory proteins, therapeutic antibodies, and biological enzymes, disulfide bonds frequently serve as molecular locks that ensure correct prote......

• • Membrane Protein–Molecule Interaction Analysis

  Membrane proteins account for nearly 30% of all proteins encoded by the human genome, and they constitute more than 60% of current drug targets. They are not only involved in essential physiological processes such as substance transport, signal transduction, and cell recognition, but also serve as key nodes in a wide range of diseases, including viral invasion, cancer metastasis, and neurodegenerative disorders. The interactions between membrane proteins and ligands, signaling molecules, and other pro......