Fab Repertoire Analysis Service

Background Advantages FAQ Resources

Creative Biolabs has established a solid high-throughput sequencing analysis platform for Fab library sequence analysis. There are several approaches to identify a possible binder from a Fab library after the screening. One approach is to isolate and sequence the positive clones from the library by Sanger sequencing. Another approach is to use next-generation sequencing method for identification. However, both methods have their drawbacks. Creative Biolabs has developed an advanced Magic™ Fab repertoire analysis method, which could facilitate the antibody development in a much more efficient and effective manner.

What is Fab?

The Fab fragment is a region of an antibody that removes the Fc portion but still has the ability to bind to antigens. It consists of a constant and a variable domain that both have the heavy and light chain. The variable domain has the antigen-binding site with a set of complementarity-determining regions (CDRs) at N-terminus of the fragment. Fab fragment includes two antigen-binding portions which are linked by the disulfide bond. Therefore, each arm of Fab could bind to an epitope on the antigen. The fragment secondary antibody that recognizes the primary antibody is optimal for IHC applications.

Advantages of Magic™ Fab repertoire analysis

Magic™ Fab repertoire analysis is an advanced method to review the sequence information for the antigen-binding site of the antibody. It could dramatically improve the efficiency of screening and also be used to design new systems for novel antibody drugs discovery.

The traditional NGS method has a couple of drawbacks such as low quality of data, bias on detection of less frequent CDRs, and no information of the VH:VL pairing. Nevertheless, our Magic™ analysis system could overcome the limitations above. It introduces an engineering service which allows the sequencing of the paired antibody heavy and light chain variable regions. Furthermore, it minimizes the linker sequence, resulting in a deeper coverage of Fab libraries compared to the traditional Sanger sequencing. In addition, during the phage display selection, Magic™ analysis could verify the diversity of the initial library, which avoids the possibility of inherent propagation bias resulting from the multiple rounds of biopanning which is required by the traditional sequencing strategies.

Creative Biolabs is a world-class antibody development service provider. We offer one stop solution for Fab generation. From antigen synthesis, phage display library construction to screening and sequence analysis, we could provide tailored service to meet our customers' unique requirement. With the Magic™ Fab repertoire analysis, Creative Biolabs has a proven record of generating Fab fragment with strong affinity and high selectivity in a timely manner.

Other optional antibody repertoire analysis services:

FAQ

What is Fab repertoire sequencing analysis?
Fab repertoire sequencing analysis is a technique used to explore the diversity of antibody Fab (Fragment antigen-binding) regions within an individual's immune system. By sequencing the variable regions of the heavy and light chains of the antibodies, this analysis provides detailed insights into the range and frequency of specific antibodies produced in response to antigens. This information is crucial for understanding immune responses, guiding therapeutic antibody development, and monitoring immune health.
How is Fab repertoire sequencing analysis different from traditional antibody sequencing?
Unlike traditional antibody sequencing, which typically focuses on a limited number of antibodies, Fab repertoire sequencing provides a comprehensive view of the entire spectrum of antibody diversity within an individual. This high-throughput method enables the simultaneous analysis of millions of Fab sequences, offering a more in-depth understanding of the immune system's response to pathogens or vaccines, as well as the identification of rare but important antibodies.
What are the main applications of Fab repertoire sequencing analysis?
Fab repertoire sequencing analysis has several applications, including tracking the development of antibody responses during infections, vaccinations, or autoimmune diseases. It is also used in the discovery and development of therapeutic antibodies, providing insights into the effectiveness of immune responses in cancer immunotherapy, and guiding the design of personalized treatments. Additionally, this analysis can be employed to monitor immune system health and detect immune deficiencies.
How does Fab repertoire sequencing contribute to therapeutic antibody development?
Fab repertoire sequencing allows researchers to identify and characterize a broad range of antibody sequences, including those with high affinity and specificity for therapeutic targets. By analyzing the natural antibody responses in humans or model organisms, scientists can discover and optimize novel therapeutic antibodies more efficiently. This approach accelerates the development of monoclonal antibodies for the treatment of various diseases, including cancer, autoimmune disorders, and infectious diseases.
What challenges are associated with Fab repertoire sequencing analysis?
Challenges in Fab repertoire sequencing analysis include the need for high-quality, unbiased samples to accurately represent the diversity of the antibody repertoire. Additionally, the complexity of the data generated requires advanced bioinformatics tools for proper analysis and interpretation. Another challenge is the potential for sequencing errors, which can affect the accuracy of the results. Proper optimization of experimental protocols and data processing methods is essential to overcome these challenges.
How does Fab repertoire sequencing analysis help in understanding autoimmune diseases?
Fab repertoire sequencing analysis helps reveal the diversity and clonality of antibody responses against self-antigens. By analyzing the Fab repertoire, researchers can identify abnormal expansions of specific antibody clones that may be involved in autoimmune pathogenesis. This information can be used to better understand disease mechanisms, identify potential biomarkers for diagnosis, and develop targeted therapies to modulate the immune response in autoimmune conditions.
What is the significance of heavy and light chain pairing in Fab repertoire sequencing analysis?
The pairing of heavy and light chains in Fab repertoire sequencing analysis is critical because it determines the specificity and affinity of antibodies for their antigens. Accurate pairing allows for a detailed understanding of the functional diversity of the antibody repertoire. By sequencing both chains and analyzing their combinations, researchers can better characterize the antibody repertoire, leading to more effective therapeutic antibody discovery and a deeper understanding of immune responses.
What role does bioinformatics play in Fab repertoire sequencing analysis?
Bioinformatics can enable the processing, analysis, and interpretation of the large volumes of data generated. Advanced algorithms and software tools are used to assemble sequences, identify clonotypes, and analyze the diversity and frequency of specific antibody sequences. Bioinformatics also helps in visualizing the repertoire data, comparing it across different samples or conditions, and identifying patterns that may be relevant for diagnostics or therapy development.
What are the advantages of using Fab repertoire sequencing analysis in immunotherapy?
Fab repertoire sequencing analysis offers several advantages in immunotherapy, including the ability to identify a broad range of potential therapeutic antibodies from a patient's own immune system. It allows for the discovery of antibodies with unique specificities and functions that may not be identified through traditional methods. Additionally, this analysis can monitor the effectiveness of immunotherapy by tracking changes in the antibody repertoire over time, providing valuable feedback for optimizing treatment strategies and improving patient outcomes.