Candidate Biomarker Optimization Service

In the research of biomarkers, the number of candidate biomarkers is generally large, and they need to be optimized to narrow the scope of biomarkers before entering the next step of research. As an expert in the field of biomarker services, Creative BioMart Biomarker has the ability to provide customers with custom biomarker services. In addition to providing customers with differential screening services, we also provide candidate biomarker optimization services. Creative BioMart Biomarker can customize suitable programs for customers in a relatively short period of time, and obtain test results with both accuracy and repeatability through a rigorous program execution process to meet customer research needs.

Candidate biomarkers are features that have differential expression in two or more types of samples, and they are generally selected from a large number of samples. The study of biomarkers is a multi-link process, which needs to go through multiple processes from initial discovery to final clinical application, and the optimization of candidate biomarkers is a necessary link. In the process of biomarker development, through early preliminary screening and bioinformatics analysis, some proteins or other types of characteristics with expression differences and statistical significance can be screened. These characteristics can be called candidate biomarkers. However, candidate biomarkers do not necessarily all meet the characteristics of rational biomarkers, so further optimization steps are needed to find biomarkers specifically related to certain disease states or physiological states. Due to the existence of clinical differences or biological differences in the normal range, the number of candidate biomarkers to be screened out is generally large, and it is necessary to select a test method that takes less time to detect as many samples as possible to determine the next step as soon as possible, to determine the biomarkers that can enter the next link as soon as possible. Therefore, for the optimization of candidate biomarkers such as protein biomarkers, a detection device with high throughput, high specificity, high sensitivity, and a short sample preparation time is often used. In addition, the optimization of candidate biomarkers may also involve the use of bioinformatics tools, for example in the optimization of epigenetic biomarkers. Therefore, the optimization of candidate biomarkers is very important for the development and verification of new biomarkers, which need to be personalized according to different research projects.

Candidate Biomarker Optimization Service

Our Services for Candidate Biomarker Optimization (including but not limited to the following):

  • Candidate Biomarker Analysis Service
  • Quantitative Optimization Service
  • Combination Optimization Service

Our Advantages

  • Multiple technology platforms for candidate biomarker optimization (proteomics technology, LC-MS, MALDI-TOF, etc.)
  • Experienced technical team
  • Strict and standard experimental operation
  • Provide complete experimental data and detailed professional analysis reports
  • High quality and more efficient custom services
  • Short service cycle and more competitive prices

Workflow of Custom Biomarker Service at Creative BioMart Biomarker

Candidate Biomarker Optimization Service

At Creative BioMart Biomarker, we provide customers with high-quality custom biomarker service related to candidate biomarker optimization, and our expert team can customize scientific and rigorous experimental programs as soon as possible according to customer research needs and sample types. Our technical team has many years of experience in biomarker analysis and has been strictly controlling each process in the optimization service to ensure that customers are provided with accurate, precise, and repeatable optimization results. If you are seeking related services, Creative BioMart Biomarker may be your ideal choice, please feel free to contact us for more information.

Reference:

  1. Bock, C. Epigenetic biomarker development. Epigenomics. 2009, 1(1): 99-110.

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