Resources
Proteomics Databases
Metabolomics Databases
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• How Do Protein Modifications Control Cellular Signaling? Core Mechanisms Analysis
Proteins are among the most functionally diverse biomolecules in cells, and their biological activity is largely regulated by post-translational modifications (PTMs). Within the cellular signaling network, PTMs not only regulate the conformation, stability, localization, and interactions of proteins but also precisely control the activation and termination of signals, thereby enabling cells to dynamically respond to external stimuli and precisely regulate cellular processes. Post-Translational ........
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Cancer is a highly heterogeneous disease characterized by regulatory alterations across the genome, transcriptome, and proteome. In recent years, post-translational modifications (PTMs)—which govern protein function, stability, subcellular localization, and intermolecular interactions—have emerged as central themes in cancer research. While traditional proteomics has identified numerous differentially expressed proteins, it remains limited in dissecting functional regulatory networks and pinpointing .......
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• How Post-Translational Modifications Research Optimizes Drug Development
Post-translational modifications (PTMs) are integral to the regulation of various biological processes and serve as key determinants in the functional diversification of proteins. In recent years, with advances in mass spectrometry, the role of PTM research in drug development has become increasingly evident. Specifically, PTMs have demonstrated significant potential in discovering new therapeutic targets, elucidating mechanisms of action, and developing precision therapeutic strategies. Why Are Post.......
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• How Do Post-Translational Modifications Affect the Biological Functions of Proteins
Proteins serve as the central executors of various cellular processes. However, they are not functionally active immediately after translation. Instead, they typically undergo a series of precisely regulated post-translational modifications (PTMs). These modifications profoundly influence protein structure, functional properties, and intracellular fate. This article explores how post-translational modifications modulate protein functions, highlighting regulatory mechanisms, underlying molecular principles..
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• What Is DIA Proteomics? A Complete Guide to Core Techniques
As proteomics progresses toward high-throughput, high-precision, and large-scale cohort studies, the Data-Dependent Acquisition (DDA) strategy has increasingly revealed its limitations—namely, constrained scanning efficiency, limited reproducibility in quantification, and frequent omission of low-abundance proteins. In contrast, Data-Independent Acquisition (DIA) is emerging as a powerful approach for investigating complex biological systems. Compared to DDA, DIA not only improves quantification accuracy...
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• Strengths and Limitations of DIA in Protein Quantification
As proteomics continues to advance in both depth and breadth, studies involving numerous samples, varying conditions, and complex phenotypes increasingly demand stability, coverage, and reproducibility in protein quantification. Although Data-Dependent Acquisition (DDA) has been widely employed in proteomic research, its limitations—such as detection bias, poor reproducibility, and the frequent omission of low-abundance proteins—have become more apparent with growing study complexity. The emergence of......
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• How DIA-MS Proteomics Data Empowers Multi-Omics Integration
Multi-omics integration is a central theme in contemporary systems biology, precision medicine, and translational research. By bridging data across distinct molecular layers—such as transcriptomics, proteomics, metabolomics, and epigenomics—it enables a comprehensive understanding of biological systems, from gene expression through to phenotypic outcomes. Among these layers, proteomics plays a pivotal role in functional execution and holds unique biological significance.
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• How 4D-DIA Achieves High-Sensitivity Protein Detection: A Deep Dive
With the continuous advancement of proteomics technologies, there is a growing demand among researchers for improved sensitivity and data resolution. In areas such as clinical translational research, investigation of complex disease mechanisms, and studies of drug actions, high-throughput and high-sensitivity protein detection methods have emerged as essential tools for driving scientific discovery. In recent years, ion mobility-based four-dimensional data-independent acquisition (4D-DIA) has attracted incr
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• DIA-MS Quantitative Proteomics Solutions for Mouse Tissue Samples
In life science research, mouse models serve as indispensable tools for elucidating disease mechanisms and identifying biomarkers, owing to their well-defined genetic background and well-established experimental protocols. Different tissues (e.g., liver, brain, heart) fulfill diverse biological roles, and alterations in their proteomic profiles provide direct insights into physiological and pathological conditions. Due to the inherent complexity and wide dynamic range of tissue proteomes, conventional......
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• Common Pitfalls in DIA Proteomics Data Analysis and How to Avoid Them
Data-Independent Acquisition (DIA) has emerged in recent years as a major advancement in mass spectrometry, progressively replacing Data-Dependent Acquisition (DDA) and becoming the preferred strategy for quantitative proteomics. Owing to its high throughput, low rate of missing values, and strong reproducibility, DIA is particularly well-suited for large-scale proteomic analyses involving complex biological samples. However, DIA proteomics data analysis requires a certain level of expertise, and .......
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