Resources

Proteomics Databases



Metabolomics Databases

• • Single Cell RNA Sequencing Technology

  Single cell RNA sequencing technology (scRNA-seq) has emerged as a pivotal tool in biomedical research, with wide-ranging applications in oncology, neuroscience, immunology, and developmental biology. In cancer research, scRNA-seq enables the identification of tumor heterogeneity, uncovering the molecular signatures of distinct cancer subtypes and informing the development of personalized treatment strategies. In neuroscience, the technology allows for the exploration of neuronal diversity and charact......

• • Single Cell RNA and DNA Sequencing

  Single cell RNA and DNA sequencing enables comprehensive profiling of the genome and transcriptome at the resolution of individual cells. Single cell DNA sequencing is primarily employed to uncover genomic alterations within individual cells, including copy number variations, point mutations, insertions and deletions, as well as complex structural rearrangements. This is particularly critical for understanding the pathogenesis of diseases such as cancer, where tumor cells often exhibit high degrees of......

• • Single Cell Nucleic Acid Sequencing

  Single cell nucleic acid sequencing enables comprehensive genomic and transcriptomic analyses at the resolution of individual cells. This powerful technique allows scientists to uncover gene expression profiles across diverse cell types, providing insights into cellular function, state, and identity—even permitting the identification of rare cell populations. Its applications are broad, with one of the most impactful areas being cancer research. Tumors often exhibit significant cellular heterogeneity,......

• • Single Cell Next Generation Sequencing

  Single cell next generation sequencing (scNGS) is an advanced technique for characterizing genomic, transcriptomic, and epigenomic landscapes at the resolution of individual cells. In biomedical research, scNGS has been extensively employed to investigate cancer, immune-related disorders, and neurological diseases. Sequencing the genomes of individual tumor cells enables researchers to dissect intratumoral heterogeneity, thereby informing the development of personalized therapeutic strategies. Additio......

• • Proteomics and Cancer

  Proteomics and cancer research is an interdisciplinary field that integrates biochemistry, molecular biology, and bioinformatics to gain a deeper understanding of cancer initiation and progression through the study of protein structure, function, and interactions. Proteomics, the large-scale study of the complete set of proteins expressed in a biological system, offers a comprehensive view of both physiological and pathological cellular states. It is intimately linked to cancer research because protei......

• • X-Ray Crystallographic Analysis

  X-ray crystallographic analysis is a powerful technique used to elucidate the atomic and molecular structures of crystalline materials. In the realm of biology, the function of macromolecules such as proteins and nucleic acids is intricately linked to their three-dimensional conformation. By employing X-ray crystallographic analysis, researchers can obtain high-resolution structural information regarding conformational dynamics, active sites, and ligand-binding modes of these macromolecules, thereby e......

• • X-Ray Crystal Structure Analysis

  X-ray crystal structure analysis is a fundamental technique for elucidating the three-dimensional architecture of molecules. The method is based on interpreting the diffraction patterns generated by the interaction of X-rays with atoms in a crystalline lattice to determine the spatial arrangement of atoms within the crystal. This approach provides not only precise molecular geometries but also detailed information on electron density distributions, thereby enabling a deeper understanding of molecular ......

• • Single-Cell Transcriptomics Analysis

  Single-cell transcriptomics analysis is designed to elucidate the complexity and heterogeneity of gene expression at the level of individual cells. By precisely quantifying mRNA abundance in each cell, this technique enables the construction of detailed transcriptional landscapes across diverse physiological and pathological states. In contrast to conventional bulk transcriptomic analyses, single-cell transcriptomics analysis captures cell-specific expression patterns, allowing for deeper insights int......

• • Bioinformatics and Proteomics

  Bioinformatics and proteomics represent two pivotal domains in contemporary biological research, each playing a fundamental role in elucidating the structure, function, and interactions of biomolecules. Bioinformatics applies computational algorithms and data-driven methodologies to analyze a wide array of biological datasets, ranging from genome sequence analysis to molecular dynamics simulation. Proteomics, on the other hand, focuses on the large-scale characterization of protein expression, post-tr......

• • Metabolomics Pathway Analysis

  Metabolomics pathway analysis is a powerful systems biology approach used to investigate alterations in metabolic profiles and the interactions among metabolites within biological systems. As a central component of systems-level research, metabolomics enables comprehensive profiling of small-molecule metabolites, offering insights into their concentrations, fluctuations, and dynamic regulatory mechanisms under physiological and pathological conditions. The implementation of metabolomics pathway analys......