The adaptive immune receptors in a big data world

Area of Science:

• Immunology and Biotechnology
• Molecular Biology

Background:

• Antibodies and T cell receptors are crucial for immune memory and form the basis of successful biologics.
• Extensive research has developed methods to study adaptive immune receptors from natural and synthetic origins.

Purpose of the Study:

• To discuss common principles in contemporary immune receptor research.
• To highlight near-term advancements in collecting and analyzing large functional datasets of immune receptors.

Main Methods:

• High-throughput display technologies for receptor identification.
• Next-generation sequencing for repertoire analysis.
• Machine learning for data mining and functional characterization.

Main Results:

• Accelerated characterization of immune receptor repertoires, including functional properties.
• Enhanced capabilities in discovering and optimizing adaptive immune receptors.
• Integration of diverse data types for comprehensive receptor analysis.

Conclusions:

• Modern techniques are revolutionizing immune receptor studies.
• Future research will focus on large-scale functional data collection and analysis.
• Advances promise to further enhance the development of immune-based therapeutics.