Magic™ BCR Repertoire Profiling for B Cell Clones Identification

Creative Biolabs offers the unparalleled mass sequencing service to analyze the B cell receptors (BCR) repertoires. Our scientists adopt hierarchical clustering algorithm using single linkage with Hamming distance to identify clones with high confidence. We can provide a fully automated method for clonal grouping. We are proud to introduce this high-quality service to our global customers.

Current Approaches to Identify B Cell Clone

Adaptive immunity is motivated by somatic hypermutation, expansion, and selection of B cell clones. Each clone is the progeny of a single B cell responding to an antigen (Ag), with diverse Ig receptors. Our ability to profile this adaptive immune response has dramatically improved through the application of next-generation sequencing (NGS). Such data provides a window into the microevolutionary dynamics which drives successful immune responses and the dysregulation that occurs with aging or disease. This microevolutionary process known as affinity maturation results in B cells with diverse immunoglobulin (Ig) receptors. Clonal partitioning of adaptive immune receptor repertoire sequencing data is central to a wide range of applications. For example, clone size distributions are the basis for several diversity measures, such as species richness, Shannon entropy, and the Gini-Simpson index. Diseases such as chronic lymphocytic leukemia are characterized by low diversity, which is driven by the dominance of a small number of clones. Identifying clones that include sequences with known Ag specificities has also been used to reveal novel Ag-specific sequences. However, despite its importance, the identification of sequences that belong to the same B cell clone in these data remains a significant challenge. Although several hierarchical clustering-based methods have been proposed, they always result in a significant loss of sensitivity. There is no consensus on the best method for grouping Ig sequences into B cell clones. Most current approaches leverage the high diversity of the junction region as a “fingerprint” to identify each B cell clone. However, these algorithms are time consuming, which is computationally intractable for large sequencing datasets.

The hierarchical clustering dendrogram. Fig.1 The hierarchical clustering dendrogram.

B Cell Clones Identification Service in Creative Biolabs

Creative Biolabs has developed an effective strategy to identify B cell clones by BCR repertoire data analysis based on hierarchical clustering. This strategy consists of (1) library preparation, (2) BCR sequencing on our Magic™ platform, and (3) data processing, including distance metrics, analysis of specificity and sensitivity, and Shannon entropy calculation. The results show that single-linkage hierarchical clustering with nucleotide Hamming distance has excellent performance, with high specificity and sensitivity.

Key Advantages

With years of research and development experience in the field of immunology, Creative Biolabs has owned a group of scientists who have the distinguished skills in BCR repertoires sequencing. We are proficient in BCR repertoire analysis for B cell clones identification based on hierarchical clustering. We are pleased to offer the best service with the most accurate results for our global customers.

Please contact us for more information and a detailed quote.


  1. Gupta, N.T.; et al. Hierarchical clustering can identify B cell clones with high confidence in Ig repertoire sequencing data. J Immunol. 2017, 198(6):2489-2499.

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