Immunoglobulin Heavy Chain Mutation Analysis Across Isotypes from 8 Individuals

Immunoglobulin heavy chain rearrangements were sequenced from peripheral blood mononuclear cells of 8 individuals. Sequences were filtered for productive rearrangements, unique sequences, and clustered to identify clonally-related sets, with a single representative kept per cluster. The dataset was created by Katherine Jackson and is available via the paperswithcode platform.

Use Cases

• Analyzing somatic hypermutation patterns in immunoglobulin heavy chains based on the described filtering for sequences with up to 45 IGHV mutations.
• Studying clonal relationships and isotype distribution within B-cell repertoires based on the described clustering of germline-reverted sequences.
• Investigating the link between mutation load and isotype class based on the retention of representative sequences for each isotype within a cluster.

Strengths

• Data is derived from 8 distinct individuals, providing a basis for inter-individual comparison.
• Sequences were rigorously filtered to remove non-productive rearrangements and those with indels or ambiguities, likely improving data quality.
• The processing pipeline included identification of clonally-related sequences and selection of cluster representatives, which may reduce redundancy.

Limitations

• Row count and dataset size are unknown, which may limit suitability assessment for large-scale analyses.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset excludes IgE and IgD isotypes, as noted in the description.

Provenance

Source

Katherine Jackson via paperswithcode

Collection Method

Sequencing of immunoglobulin heavy chains from PBMCs on the 454 pyrosequencing platform, followed by bioinformatic processing with iHMMune-align and vmatch.