Resources

Proteomics Databases



Metabolomics Databases

• • Mechanism of Glycosylation Site and Glycoform Analysis

  Glycosylation refers to the attachment of carbohydrate molecules to proteins or lipids, serving as a crucial form of post-translational modification. The identification of glycosylation sites and the analysis of glycans are vital for understanding various biological functions and play significant roles in disease diagnosis and treatment. Glycosylation is mainly categorized into N-glycosylation, which occurs on asparagine or lysine residues, and O-glycosylation, which occurs on serine or threonine residues.

• • Application of Glycosylation Site and Glycoform Analysis

  Glycosylation is an essential post-translational modification that significantly influences cellular functions and overall health. The analysis of glycosylation sites and glycan structures is critical in biomedical research, drug development, and fundamental biological studies.

• • Workflow of Glycosylation Site and Glycoform Analysis

  Glycosylation refers to the process of sugar molecules attaching to proteins, lipids, and other biomolecules. This process significantly impacts the functions, structures, and interactions of biological entities. The study of glycosylation sites and glycan analysis helps us understand the complexities of these biological processes.

• • Principle of Glycosylation Site and Glycoform Analysis

  Glycosylation refers to the process of adding sugar chains to biological molecules, such as proteins and lipids. This process plays a crucial role in intercellular signaling, immune responses, cell adhesion, and protein stability. The analysis of glycosylation sites is essential for understanding cell biology and related diseases (such as cancer and diabetes).

• • Application of Quantitative Proteomics

  Quantitative proteomics is an essential tool for the quantitative analysis of proteins in biological samples using high-throughput technologies. With the rapid advancement of biotechnology, quantitative proteomics has shown extensive application potential in various fields, including disease diagnosis, drug development, and basic research.

• • Mechanism of Quantitative Proteomics

  Quantitative proteomics is a vital tool for studying protein expression levels and their changes. Utilizing high-throughput technologies, researchers can gain insights into the complex biological processes within cells.

• • Workflow of Quantitative Proteomics

  Quantitative proteomics is a crucial tool for studying the variations in protein abundance and function within biological samples, widely applied in disease research, drug development, and biomarker discovery.

• • Principle of Quantitative Proteomics

  Quantitative proteomics is an essential tool for studying changes in protein expression levels within cells, tissues, or organisms. The technological advancements in this field enable researchers to analyze the proteome at a systemic level, identifying proteins associated with biological processes, disease states, and drug responses. This article will discuss the fundamental principles of quantitative proteomics, including sample preparation, separation techniques, and mass spectrometry analysis.

• • Proteomics Medical Cohort Study Service Overview

  Medical Cohort Studies are a pivotal type of research in the fields of clinical and life sciences, designed to evaluate the effects of medical treatments, disease progression, and the safety and efficacy of new methodologies. Their ultimate aim is to guide treatment strategies, improving patient care. To ensure reliable outcomes, stringent planning, comprehensive data collection, and thorough statistical analysis are essential. MtoZ Biolabs offers specialized services tailored for these studies, integrating

• • Astral DIA: Accurate and Efficient Quantitative Proteomics Solution

  The Astral DIA quantitative proteomics service, offered by MtoZ Biolabs, is a cutting-edge solution based on Thermo Fisher Scientific's latest Orbitrap Astral mass spectrometry platform. This service integrates Data Independent Acquisition (DIA) technology with exceptional precision, enabling comprehensive proteome-wide quantitative analysis. By utilizing the highly sensitive Astral instrument, the service is designed to provide extensive and reliable protein quantification for complex biological samples, e