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.

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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

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article

New generalized metric based on branch length distance to compare B cell lineage trees

Nadia Tahiri, Mahsa Farnia
1 citations
Algorithms for Molecular Biology
Chronic Lymphocytic Leukemia Research
0.44
article

New generalized metric based on branch length distance to compare B cell lineage trees

Nadia Tahiri, Mahsa Farnia
article en
1 citations

Abstract

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.

Algorithms for Molecular BiologyVol. 19(1)
Université de Sherbrooke (CA)
Université de Sherbrooke, Fonds Québécois de la Recherche sur la Nature et les Technologies, Natural Sciences and Engineering Research Council of Canada
Openalex Percentile: Top 32%
Chronic Lymphocytic Leukemia Research
0.44
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New generalized metric based on branch length distance to compare B cell lineage trees — Nadia Tahiri, Mahsa Farnia · Algorithms for Molecular Biology (2024) | TGRS Research Map | TGRS