CD Genomics uses bioinformatics to provide MHC captured data analysis service. We divide HLA into different genotypes accurately, based on the MHC Captured sequencing data. Our unique skills in data analysis will exceed our clients' expectations on personalized data analysis and provide the most comprehensive data analysis results.
Function of Major Histocompatibility Complex
Major histocompatibility complex (MHC) is a collective term for a group of genes encoding major histocompatibility complexes in animals. Human MHC is called HLA (human leukocyte antigen), which can be divided into two categories: classic MHC and non-classical MHC. Classic MHC includes MHC I, MHC II, and MHC III genes, encoding MHC I molecule, MHC II molecule, and MHC III molecule, respectively. MHC molecules participate in antigen recognition during the immune response.
Fig 1. The genetic structure of Major histocompatibility complex (MHC)
MHC Captured Sequencing Data
The MHC captured sequencing data is obtained by using the target MHC region sequence to design the probe, enrich this region through the capture method, and sequence the region using the high-throughput sequencing method. Different regions of MHC can be captured by designing different probes. Through the bioinformatic analysis of the captured sequencing data, the genes in this region can be divided into different genotyped, and the SNP and InDel associated with diseases can also be found.
We Can Help Our Clients With
The results of bioinformatic analysis of MHC capture and sequencing data can be used in the following research fields.
1.The study of autoimmune diseases related to HLA mutation and a variety of complex diseases, including cancers
2.HLA accurate typing-organ transplantation matching detection
3.Target population screening of vaccines, drugs
4. Paternity test and forensic medicine
5. Ethnic evolution
Fig 2. Application direction of MHC captured sequencing data
MHC Capture Sequencing Data Standard Analysis Content
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1. Remove joint contamination and low quality data;
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8. Distribution statistics of SNP on each gene functional element;
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2. The data is compared with the database through BWA;
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9. InDel mutation information detection;
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3. Statistical analysis of data output, depth analysis of sequencing, and uniformity analysis of coverage;
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10. InDel's RefGene annotation;
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4. SNP mutation information detection;
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11. InDel database analysis (database annotation analysis with dbSNP, thousands of genomic data, ESP exome database);
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5. SNP's RefGene annotation;
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12. Distribution statistics of InDel on each gene functional element;
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6. SNP database analysis (database annotation analysis with dbSNP and thousands of genomic data);
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13. HLA typing.
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7. Single sample SNP conservative prediction, pathogenicity analysis;
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In Addition, We Can Tailor the Content of MHC Captured Data Analysis According To Your Specific Project Needs.
How It Works
CD Genomics is a high-tech company specializing in multiomic data analysis. We provide services such as project design, data analysis, and database construction. With a focus on developing breakthrough products and services, we are a pioneer in the biotechnology industry, serving researchers and partners worldwide.
CD Genomics provides general analysis and customized analysis of MHC Captured Data Analysis. If you are interested in our services, please contact us for more detailed information.
