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使用 Dowser 从配对的 H 和 L 链 BCR 序列推断 B 细胞进化树。

Inferring B Cell Phylogenies from Paired H and L Chain BCR Sequences with Dowser.

机构信息

Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT.

Integrated Graduate Program in Physical and Engineering Biology, Yale University, New Haven, CT.

出版信息

J Immunol. 2024 May 15;212(10):1579-1588. doi: 10.4049/jimmunol.2300851.

Abstract

Abs are vital to human immune responses and are composed of genetically variable H and L chains. These structures are initially expressed as BCRs. BCR diversity is shaped through somatic hypermutation and selection during immune responses. This evolutionary process produces B cell clones, cells that descend from a common ancestor but differ by mutations. Phylogenetic trees inferred from BCR sequences can reconstruct the history of mutations within a clone. Until recently, BCR sequencing technologies separated H and L chains, but advancements in single-cell sequencing now pair H and L chains from individual cells. However, it is unclear how these separate genes should be combined to infer B cell phylogenies. In this study, we investigated strategies for using paired H and L chain sequences to build phylogenetic trees. We found that incorporating L chains significantly improved tree accuracy and reproducibility across all methods tested. This improvement was greater than the difference between tree-building methods and persisted even when mixing bulk and single-cell sequencing data. However, we also found that many phylogenetic methods estimated significantly biased branch lengths when some L chains were missing, such as when mixing single-cell and bulk BCR data. This bias was eliminated using maximum likelihood methods with separate branch lengths for H and L chain gene partitions. Thus, we recommend using maximum likelihood methods with separate H and L chain partitions, especially when mixing data types. We implemented these methods in the R package Dowser: https://dowser.readthedocs.io.

摘要

抗体对于人体的免疫反应至关重要,由遗传上可变的 H 和 L 链组成。这些结构最初作为 BCR 表达。BCR 的多样性通过免疫反应中的体细胞超突变和选择来塑造。这个进化过程产生了 B 细胞克隆,这些细胞来自共同的祖先,但由于突变而有所不同。从 BCR 序列推断的系统发育树可以重建克隆内突变的历史。直到最近,BCR 测序技术还将 H 和 L 链分开,但单细胞测序的进步现在可以将单个细胞的 H 和 L 链配对。然而,目前还不清楚如何将这些单独的基因组合起来推断 B 细胞的系统发育。在这项研究中,我们研究了使用配对的 H 和 L 链序列构建系统发育树的策略。我们发现,结合 L 链可以显著提高所有测试方法的树准确性和可重复性。这种改进大于树构建方法之间的差异,即使混合批量和单细胞测序数据也是如此。然而,我们还发现,当某些 L 链缺失时,许多系统发育方法估计的分支长度存在显著偏差,例如混合单细胞和批量 BCR 数据时。通过为 H 和 L 链基因分区使用单独的分支长度的最大似然方法可以消除这种偏差。因此,我们建议在混合数据类型时使用具有单独 H 和 L 链分区的最大似然方法。我们在 R 包 Dowser 中实现了这些方法:https://dowser.readthedocs.io。

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