Bioinformatics in Proteomics

Introduction to Proteomics

Proteomics is the science of studying the composition, location, change and interaction rules of proteins in cells, tissues or organisms, including the study of protein expression patterns and proteomic functional patterns. Researching and analyzing the proteomics data of different diseased individuals, specific phenotypes and normal samples is of great significance for finding diagnostic markers of diseases, screening drug targets, and toxicological research. Therefore, according to different research purposes, different proteomics research techniques are widely used in medical research. With many years of experience in proteomics data analysis, CD Genomics provides customers with bioinformatics data analysis services for different proteomics data. The services we provide include but are not limited to the following: iTRAQ proteomic quantitative data analysis, TMT labeled quantitative proteomic analysis, label free proteomic quantitative analysis, phosphorylated proteomic analysis, and DIA protein quantitative and detection data analysis.

Fig 1. Clustering analysis of proteins identified in the ITF and the inner tumor of neoplastic islands (n = 20 samples). (Carolina M C, et al. 2018)

Significance of Proteomics Data Analysis

Proteome research can not only provide a material basis for the laws of life activities, but also provide a theoretical basis and solutions for the elucidation and conquering of many kinds of disease mechanisms. By comparing and analyzing the proteomes between normal individuals and pathological individuals, it is possible to obtain the expression of different proteins in different samples, find differentially expressed proteins, and then perform functional annotation analysis on the differentially expressed proteins. Through data mining, certain disease-specific protein molecules can be found, which can become molecular targets for new drug design or provide molecular markers for early diagnosis of diseases. For example, many drugs on the market are proteins or their targets are certain protein molecules. Therefore, proteomics research is not only a necessary work to explore the mysteries of life, but also can bring huge benefits to human health.

Proteomics Data Analysis Process

Fig 2. CD Genomics proteomics data analysis process.

Applications of Proteomics Data in Biomedical Research

• Basic research: Proteomics data analysis can provide a data basis for disease mechanism and drug target screening.
• Research on disease markers: Exploring relevant diagnostic markers and prognostic markers by analyzing the proteomics data of tissue samples from different diseases.
• Personalized diagnosis or treatment: Analysis of different sample tissues is helpful for diagnosis and classification, as well as individualized treatment.

What We Offer

As one of the providers of proteomics data analysis, CD Genomics offers established, cost-efficient and rapid turnaround analysis services for bioinformatics data analysis. The raw input protein data can be produced from a range of platforms. The data provided can be the raw data just off the machine, or the intermediate data that has been preprocessed. For data analysis, we will provide you with the following services:

1. Professional data analysts evaluate and filter the data, formulate the optimal analysis plan, and perform data analysis.
2. According to the analysis needs of customers, develop a personalized analysis plan, or develop a personalized result chart.
3. Provide a complete interactive data analysis report, including all analysis methods and results.
4. Post-report follow-ups: We provide professional analysis report interpretation service and biological interpretation of analysis results.
5. Fast turnaround time: We help you achieve your research goals quickly and in a timely manner.

If you have any questions about the data analysis content, turnaround time and price, please feel free to contact us. We look forward to working with you, and we will provide you with satisfactory services.

Our workflow

References

1. Carolina M C, et al. Combining discovery and targeted proteomics reveals a prognostic signature in oral cancer[J]. Nature Communications, 2018, 9(1):3598-.

* For research use only. Not for use in clinical diagnosis or treatment of humans or animals.