The discovery of effective targets to restrict the growth and spread of pathogens is critical to infectious illness treatment. Creative Biolabs provides high-throughput proteomics analysis services that can identify disease-associated proteins, thus helping to discover possible targets for intervention in infections.
Creative Biolabs offers a comprehensive suite of proteomics services designed to accelerate the discovery of therapeutic targets for infectious diseases. Our expertise in high-throughput proteomics analysis, coupled with advanced bioinformatics, allows us to deliver in-depth, accurate, and actionable insights into disease mechanisms, protein functions, and potential therapeutic targets.
1. Sample preparation.
Our skilled professionals will provide you with detailed sample preparation directions to ensure that the samples you work with are representative and of high quality.
2. Sample processing and quality control.
To assure the reliability of analytical results, we employ cutting-edge sample processing and quality control techniques.
3. Protein isolation.
Protein separation techniques such as gel electrophoresis and liquid chromatography are used to separate proteins from samples.
4. Proteomics analysis.
Comprehensive proteomic analysis of samples using mass spectrometry, including data collection and quantification of protein identification and modifications.
5. Data processing and analysis.
Extensive data processing and parsing employing cutting-edge bioinformatics techniques and algorithms, including differential expression analysis, functional enrichment analysis, and protein interaction network analysis.
6. Reports and interpretation.
Detailed experimental reports and data analysis results, including test technique, analysis results, conclusions, raw data, graphs and photos, and so on, are accessible. To verify the accuracy and trustworthiness of the data, our experienced team will conduct a thorough examination and assessment of the experimental method and data analysis.
When provided with samples set in multiple comparable groups and in triplicates, we can perform a comprehensive bioinformatics analysis of proteomics data.
Bioinformatics analysis helps to quickly identify proteins present in samples in large-scale protein mass spectrometry data. Proteins in samples can be efficiently and accurately identified by comparing experimental data with sequences and mass spectrometry spectra from known protein databases.
Bioinformatics helps to perform protein sequence alignment to discover structural, functional and evolutionary relationships between similar proteins.
Bioinformatics analysis to predict and annotate protein function. By comparing the sequence, structure, domains and other information of proteins in relevant databases, it is possible to predict the function, subcellular localization, and signaling pathways involved in proteins.
Through gene ontology annotation, bioinformatics analysis can help to identify the composition and function of proteins, enabling a better understanding of the structure and function of proteins as well as their regulation in life processes.
Bioinformatics analysis can also predict the secondary structure, tertiary structure, and isolated expression structure domains of proteins based on their sequence information. The results of these predictions can help researchers further understand protein functions and interactions.
Bioinformatics analysis analyzes and studies protein structures, including using methods such as protein structure prediction and protein structure comparison. These methods can help researchers assess similarities and differences between protein structures and can be used in studies of classification and functional variation.
We utilize state-of-the-art mass spectrometry techniques to provide a comprehensive view of the proteome, identifying proteins and their modifications that are relevant to infectious diseases. Our high-throughput platforms allow us to analyze large numbers of samples efficiently, delivering robust data for target discovery.
We understand that each research project is unique. Our team works closely with you to design a proteomics study tailored to your specific needs, whether it involves pathogen-host interaction studies, biomarker discovery, or exploring disease-related protein pathways.
Our bioinformatics team employs advanced algorithms and data analysis tools to interpret complex proteomics data. We provide detailed analyses, including protein identification, functional annotation, gene ontology analysis, and protein interaction network analysis, offering insights into the biological relevance of your findings.
We deliver thorough and clear experimental reports that include data interpretation, raw data, graphical representations, and experimental conclusions. Our reports are designed to be both technically detailed and accessible, ensuring you can make informed decisions based on the results.
All of our proteomics services are backed by strict quality control procedures. We ensure that the data we deliver is reliable, reproducible, and scientifically sound, providing you with the confidence needed for further research and development.
Beyond target discovery, we provide support for validating identified therapeutic targets through complementary experimental methods, such as functional assays, cell-based studies, and in vivo models, helping to move your research from the proteomic level to practical application.
Identifying novel therapeutic targets is essential for combating infectious diseases, particularly with the rise of drug-resistant pathogens. Proteomics, the large-scale study of proteins, offers a powerful approach for uncovering disease-associated proteins in both pathogens and host cells. This enables researchers to explore protein expression, modifications, interactions, and localization, which are crucial for understanding disease mechanisms. Proteomics helps identify potential biomarkers for diagnosis and therapeutic targets for drug development, providing valuable insights into pathogen-host interactions and disease progression. By advancing our molecular understanding of infectious diseases, proteomics accelerates the discovery of candidate treatments and combats emerging infections.
Fig. 1 Schematic overview of quantitative proteomic strategies.¹
A: Proteomics can be applied to study a wide range of infectious diseases caused by bacteria, viruses, fungi, and parasites, helping researchers understand pathogen biology and host interactions.
A: Proteomics data is analyzed using advanced bioinformatics tools that perform protein identification, functional annotation, protein interaction network analysis, and differential expression analysis to provide insights into disease mechanisms.
A: Proteomics identifies proteins involved in disease mechanisms, such as enzymes or surface antigens, which can serve as potential targets for drug development, vaccines, or diagnostics.
A: No, proteomics can also be applied to study the host response during infection. By analyzing proteins in host cells, researchers can understand immune evasion strategies and cellular changes induced by infection.
The application of proteomics analysis involves research in the areas of protein expression, protein modification and protein interaction. With Creative Biolabs' proteomics analysis service, you can obtain comprehensive proteomics data to better understand the mechanisms of infectious disease onset and progression, giving strong support for the development of candidate therapeutic agents. Please contact us to initiate a target discovery proteomics analysis.
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