Immunomics Services for Cancer Research
The effectiveness of immunotherapies requires a deeper understanding of the intricate interplay between tumor cells and the tumor immune microenvironment. At Alfa Cytology, we offer comprehensive immunomics solutions to unravel the intricate interplay between the immune system and cancer.
Overview of Cancer Immunomics
Cancer immunomics involves the integrated study of the tumor immune microenvironment using various high-throughput technologies and multi-omics data. It encompasses immunogenomics, immunoproteomics, immune-bioinformatics, and other advanced techniques. By analyzing the genomic and transcriptomic data obtained through next-generation sequencing (NGS), researchers can unravel the complex interplay between tumor cells and immune components, providing crucial insights into tumor immune states and potential therapeutic targets.
Fig.1 Neoantigen prediction pipeline to achieve genome information-based cancer precision medicine, including neoantigen-targeted immunotherapy. (Kiyotani K, et al., 2021)
Our Services
At Alfa Cytology, we offer a wide range of immunomics services tailored to meet the specific needs of cancer researchers. Our services encompass various aspects of immunogenomics, single-cell analysis, and artificial intelligence, providing a comprehensive toolbox for studying the TIME. Our services include, but are not limited to:
Immune Profiling
Our capabilities extend to comprehensive immune profiling, enabling the characterization of immune cell populations, assessment of their functional states, and evaluation of their spatial distribution within the tumor microenvironment. Through advanced techniques, we offer a detailed understanding of immune cell phenotypes, activation status, and immune cell infiltrates in tumors.
Immune Repertoire Analysis
With state-of-the-art technologies, we offer immune repertoire profiling, which involves analyzing the diversity and clonality of immune receptors, including T-cell receptors (TCRs) and B-cell receptors (BCRs). This analysis provides insights into the adaptive immune response, immunodominant antigens, and clonal expansion patterns associated with cancer.
Immune Gene Expression Profiling
We employ high-throughput sequencing and bioinformatics tools to investigate immune-related gene expression patterns. By assessing the expression levels of immune-related genes and signaling pathways, we can identify key immune regulators, immune checkpoints, and potential therapeutic targets.
Immune Repertoire Analysis
Our services encompass the analysis of immune-related signaling pathways, such as cytokine signaling, antigen presentation, and immune cell activation pathways. By deciphering these pathways, we can unravel the underlying mechanisms that shape the immune response and tumor-immune interactions.
Workflow of Our Services
Sample Collection and Processing
Expert guidance on sample collection, preservation, and processing to ensure high-quality and reliable data.
Experimental Assays
Implementation of advanced immunomics techniques tailored to your research needs, including flow cytometry, NGS, and cytokine/chemokine profiling.
Data Analysis and Interpretation
In-depth bioinformatics analysis of the generated data, customized to extract meaningful insights and identify potential biomarkers and therapeutic targets.
Reporting and Consultation
Comprehensive reports summarizing the findings, accompanied by expert consultation to help you interpret the results and formulate future research strategies.
Cancer immunomics represents a paradigm shift in our understanding of tumor-immune interactions and holds immense potential for advancing cancer research and therapy development. At Alfa Cytology, we are committed to providing high-quality, actionable insights that drive scientific discoveries. Partner with us to unlock the full potential of immunomics in your cancer research endeavors. If you are interested in our service, please contact us for more details.
Reference
- Kiyotani, K., et al.; (2021). Immunogenomics in personalized cancer treatments. Journal of Human Genetics, 66(9), 901-907.
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