New generalized metric based on branch length distance to compare B cell lineage trees
The B cell lineage tree encapsulates the successive phases of B cell differentiation and maturation, transitioning from hematopoietic stem cells to mature, antibody-secreting cells within the immune system. Mathematically, this lineage can be conceptualized as an evolutionary tree, where each node represents a distinct stage in B cell development, and the edges reflect the differentiation pathways. To compare these lineage trees, a rigorous mathematical metric is essential. Analyzing B cell lineage trees mathematically and quantifying changes in lineage attributes over time necessitates a comparison methodology capable of accurately assessing and measuring these changes. Addressing the intricacies of multiple B cell lineage tree comparisons, this study introduces a novel metric that enhances the precision of comparative analysis. This metric is formulated on principles of metric theory and evolutionary biology, quantifying the dissimilarities between lineage trees by measuring branch length distance and weight. By providing a framework for systematically classifying lineage trees, this metric facilitates the development of predictive models that are crucial for the creation of targeted immunotherapy and vaccines. To validate the effectiveness of this new metric, synthetic datasets that mimic the complexity and variability of real B cell lineage structures are employed. We demonstrated the ability of the new metric method to accurately capture the evolutionary nuances of B cell lineages.
Authors
- Nadia Tahiri (ORCID: https://orcid.org/0000-0002-1818-208X)
- Mahsa Farnia
Institutions
- Université de Sherbrooke (CA)
Publication Details
- Journal
- Algorithms for Molecular Biology
- Published
- 2024-10-05
- DOI
- https://doi.org/10.1186/s13015-024-00267-1
- Citations
- 1
- Primary Topic
- Chronic Lymphocytic Leukemia Research
- Type
- article
- Field-Weighted Citation Impact
- 0.44
Funders
- Université de Sherbrooke
- Fonds Québécois de la Recherche sur la Nature et les Technologies
- Natural Sciences and Engineering Research Council of Canada