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The human exome contains important information about protein synthesis and is the most direct manifestation of the functions performed by genes. Although it represents only 1-2% of the genome, it contains about 85% of the known disease-associated variants. Whole exome sequencing (WES) is a method that uses sequence capture technology to capture and enrich exonic regions and non-transcribed regions of important regulatory functions for high-throughput gene sequencing. WES allows for more precise identification of disease-associated mutant loci and is cost-effective and economical.
Mutations in whole exome regions are most likely to affect the development of brain tumors. Alfa Cytology provides a reliable method for brain tumor genomic research by accurately detecting SNV and InDel through WES, which can efficiently resolve cancer susceptibility and pathogenicity genes. Our WES service helps researchers to find meaningful biomarkers indicating efficacy and has become the method of choice for comparing brain tumors with normal samples.
The information analysis service we provide includes, raw downstream data filtered out connectors, low-quality bases, and unmeasured bases, compared to the reference genome for SNV, InDel, and CNV analysis, and then annotated by the database. To ensure high-quality sequencing data, we have set up a strict data quality control system throughout the analysis process.
No. | Items | No. | Items |
1 | Data quality assessment | 11 | Mutant locus distribution analysis |
2 | Sequence genome alignment | 12 | High-frequency mutation gene GO enrichment analysis |
3 | Somatic detection of variant loci (SNV, InDel, CNV, LOH) | 13 | High-frequency mutation KEGG pathway enrichment analysis |
4 | Mutant locus annotation (including annotation of functional regions, population frequency, pathogenicity, COSMIC, and other disease databases) | 14 | High-frequency mutant gene correlation analysis |
5 | Susceptibility gene screening | 15 | High-frequency mutant gene protein interactions analysis |
6 | Fusion gene analysis | 16 | Tumor purity and ploidy analysis |
7 | Summary of mutant loci (Circos map) | 17 | Tumor heterogeneity and clonal structure analysis |
8 | Mutation characterization analysis | 18 | Tumor evolutionary tree analysis |
9 | Analysis of high-frequency mutated genes | 19 | Integration analysis of clinical data such as PFS and OS |
10 | Analysis of significant CNV regions | 20 | Suggestions for targeted therapy and immunotherapy protocols |
The low cost and high yield of WES have become a clear advantage over WGS technology. Alfa Cytology uses WES to reveal variant features at the gene level in brain tumors, including data indicators such as tumor mutational load, mismatch repair defects/microsatellite instability, and copy number variation. This may offer new hope in the search for predictive markers for immunotherapy. Please feel free to contact us for more information and to better utilize WES for brain tumor susceptibility, pathogenesis, heterogeneity, metastasis and recurrence, and drug efficacy studies.