Resources
Proteomics Databases

Metabolomics Databases

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• Single-Cell Genome Sequencing
Single-cell genome sequencing is a technique that deciphers genomic information at the single-cell level, enabling precise identification of genomic variations, structural changes, and genetic diversity. This technology offers unparalleled resolution for investigating cellular heterogeneity, elucidating disease molecular mechanisms, and tracing cell evolutionary trajectories. A defining feature of this technology is its ability to provide high-resolution analysis of rare and complex cell populations. ......
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Fmoc peptide synthesis is a widely used chemical method for synthesizing polypeptide chains, with applications spanning biochemistry, drug development, and materials science. The Fmoc group serves as a protective moiety, shielding the amino group of amino acids to prevent unwanted reactions during chain assembly. The synthesis strategy involves temporarily attaching the Fmoc group to the amino group of an amino acid, followed by sequential removal and addition of amino acid residues to extend the pept......
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Multiomic sequencing is a method for integrating and analyzing data from various biological molecular omics, including genomics, transcriptomics, proteomics, and metabolomics. Its applications are vast, encompassing areas such as disease mechanism research, drug discovery, precision medicine, and agricultural enhancement. By employing multiomic sequencing, researchers can gain a comprehensive understanding of biological systems, facilitating insights into the functional dynamics and changes in organis......
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Single nuclei sequencing is a genomic or transcriptomic analysis technique focused on individual cell nuclei, particularly advantageous in contexts where isolating intact cells is challenging or where samples are prone to damage during cell separation. Unlike traditional single-cell sequencing, this method efficiently analyzes nuclei without requiring whole cells, making it highly compatible with various sample types. This is particularly beneficial for biological samples like brain tissue or skeletal......
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In recent years, RNA single cell sequencing has emerged as a revolutionary technology in the fields of biology and medical research. By enabling high-precision measurement of the transcriptomes of individual cells, this technique uncovers critical biological insights into cell heterogeneity within population samples. Unlike traditional RNA sequencing, which averages the expression levels across thousands of mixed cells, RNA single cell sequencing analyzes each cell individually, thus capturing unique ......
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• Advances in Single-Cell Sequencing
Single-cell sequencing is a powerful tool for analyzing genomic, transcriptomic, epigenomic, or proteomic information on an individual cell basis, thereby offering significant insights into cellular heterogeneity and function. Unlike traditional bulk sequencing, which aggregates signals from mixed cell populations, single-cell sequencing precisely captures the molecular characteristics of individual cells. This capability is crucial for elucidating the cellular composition of complex biological system......
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Discovery proteomics represents a key domain within proteomics, dedicated to identifying and characterizing previously unknown or biologically significant proteins through advanced high-throughput technologies. In contrast to targeted proteomics, discovery proteomics is not restricted to specific known proteins or biological pathways but aims to comprehensively profile all proteins and their potential functions within a given organism or physiological context. Its primary objective is to uncover the t......
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ICP Elemental Analysis is a highly precise analytical technique used for both qualitative and quantitative analysis of metallic and other elemental contents. The method involves introducing a sample into a high-temperature plasma, where elements are excited to emit light at characteristic wavelengths. The intensity of this light is measured by a spectrometer, allowing for the determination of the elemental composition within the sample. Owing to its high sensitivity, accuracy, broad detection range, a......
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Protein enrichment analysis is a bioinformatics approach designed to identify protein groups associated with specific biological processes, diseases, or experimental conditions from extensive proteomic datasets. By systematically screening and analyzing large-scale protein data, enrichment analysis highlights protein sets that demonstrate significant changes under defined conditions. This approach provides critical insights into protein functionality and dysregulation mechanisms, playing a pivotal rol......
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Comparative proteomics is a research methodology designed to identify differences and underlying mechanisms in protein composition, expression levels, modification states, and functional characteristics across diverse biological samples under distinct physiological or pathological conditions. The primary goal is to systematically compare proteins among multiple samples or experimental groups, generating critical data to elucidate biological processes. Unlike genomics or transcriptomics, proteomics pro......
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