Many autoimmune diseases are characterized by aberrant B cells which play a central role in pathogenesis. Each B cell expresses a B cell receptor (BCR), which determines its specificity in binding to different epitopes. For autoimmune diseases such as type 1 diabetes, multiple sclerosis, rheumatoid arthritis, Crohn's, and celiac; our current understanding of the role of unique BCR repertoires is poorly understood. However, recent advances in single-cell RNA sequencing has allowed the field to simultaneously profile both the BCR and whole transcriptome leading to the characterization of clonal diversity of B cell subtypes.
Traditional methods using microfluidic barcoding are low throughput (1,000s-10,000s of cells) and costly. To overcome these limitations, we developed a method to simultaneously characterize the BCR repertoire and whole transcriptomes of up to 1 million cells from up to 96 samples in one experiment.
For proof of concept, we applied this method to simultaneously profile the BCR and whole transcriptome of twelve healthy and twelve diseased samples in a single experiment resulting a dataset with over 1 million cells. Using the whole transcriptome data, we detected all major subtypes of B cells and other immune cells. From the BCR data, we defined BCR isotypes, captured a majority of cells with a paired chain, detected full length chains, and differentiated dominant & rare clones. This technology paves the way for high-throughput and sensitive screening of BCR repertoires to further the understanding of B cell biology and disease.
