Creative Biolabs offers the unparalleled mass sequencing service to analyze the T cell receptors (TCR) repertoires. Scientists of Creative Biolabs can provide unbiased TCR repertoire profiling on our Magic™ platform, with minimal loss of quantitative information originally contained in a lymphocyte sample. We are proud to introduce this cutting-edge technology to facilitate the process of immunological research of our global clients.
The TCR repertoire is a mirror of the human immune system reflecting processes caused by infections, autoimmunity, aging, and diseases. The adaptive immune system drives the immune response via specific hypervariable TCR molecules. This repertoire is generated by a complex series of genetic events. The variable region of each TCR chain consists of three complementary determining regions (CDR) and four frame regions (FR). CDR3 is generated by recombination of variable (V), diversity (D), and joining (J) gene segments in the beta chain, and V and J region gene segments in the alpha chain. High convergence of TCR beta CDR3 amino acid sequences, along with the expanding knowledge on their specificities, suggests the potential for diagnostics of multiple infections and pathological states via deep individual TCR profiling. These perspectives demand the development of powerful approaches for deep unbiased TCR profiling. NGS is a powerful tool for deep TCR profiling. So far, questions abound regarding the methodological approaches for sample preparation and correct data interpretation. Accumulated errors from PCR and sequencing process along with library preparation bottlenecks have resulted in information loss, biased quantification, and generation of huge artificial TCR diversity. Altogether, these technical challenges lead to the loss of the original TCR repertoire of an analyzed T cell sample, generation of false TCR diversity, and inability to interpret sequence information in a quantitative way.
To solve these problems, Creative Biolabs has developed a powerful approach for unbiased TCR repertoire profiling based on our Magic™ platform. Our scientists have optimized a cDNA-based protocol that allows unbiased pre-sequencing amplification of alpha-TCR and beta-TCR gene libraries in the human and murine. The protocol uses specific primers for cDNA synthesis and introduces sample barcode at the first stage of library preparation. This approach allows efficient and unbiased amplification of millions of the TCR molecules. In addition, we have developed advanced algorithms for efficient and valid correction of errors with minimal loss of quantitative information. Advanced correction allows the removal of the majority of artificial TCR diversity and rescues most of the sequencing information.
With years of research and development experience in the field of immunology, scientists of Creative Biolabs have performed over hundreds of TCR repertoire sequencing projects and accumulated extensive experiences. We can provide unbiased TCR repertoire profiling, allowing the removal of the majority of artificial TCR diversity and rescuing most of the sequencing information. We are pleased to offer the best service with the most accurate results to our global customers.
Please contact us for more information and a detailed quote.
Other optional Magic™ TCR repertoire analysis services:
Unbiased TCR repertoire profiling refers to the comprehensive analysis of T-cell receptor (TCR) sequences without prior selection or bias towards specific TCRs. This approach captures the full diversity of TCRs present in a sample, allowing researchers to gain insights into the immune response to various antigens, including tumor-associated antigens, and to identify TCRs that may be clinically relevant for immunotherapy.
Unbiased TCR profiling provides a detailed understanding of the T-cell repertoire within the tumor microenvironment. This information is critical for identifying TCRs that recognize tumor-specific antigens, which can inform the development of personalized immunotherapies. By revealing previously unrecognized T-cell clonotypes, this method enhances the potential for effective immune-based treatments.
Traditional TCR profiling methods often involve amplifying specific TCR sequences of interest, which can lead to bias and loss of information about the overall TCR diversity. In contrast, unbiased profiling employs high-throughput sequencing techniques that capture all TCRs present in a sample, providing a more comprehensive view of the TCR repertoire and enabling the identification of novel and rare T-cell populations.
Common technologies for unbiased TCR repertoire profiling include next-generation sequencing (NGS) and single-cell RNA sequencing. NGS allows for high-throughput analysis of TCR sequences from bulk or enriched T-cell populations, while single-cell RNA sequencing enables the assessment of individual T-cell responses, revealing detailed information about TCR diversity, expression patterns, and functional characteristics within the tumor microenvironment.
Unbiased TCR repertoire profiling can guide immunotherapy development by identifying TCRs that are specifically targeting tumor-associated antigens. By understanding the TCR diversity and specificity within a patient's tumor, researchers can select or engineer TCRs for adoptive T-cell therapies or design vaccines that enhance the anti-tumor immune response, ultimately leading to more effective treatment strategies.
Unbiased TCR repertoire profiling can be applied to various diseases beyond cancer, including autoimmune disorders, infectious diseases, and transplant rejection. By analyzing TCR diversity and specificity in these contexts, researchers can gain insights into the immune mechanisms driving disease processes, potentially leading to new therapeutic targets and strategies for managing these conditions.
Use the resources in our library to help you understand your options and make critical decisions for your study.
All listed services and products are For Research Use Only. Do Not use in any diagnostic or therapeutic applications.
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