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使用 BARtab 和 bartools 分析基因组和转录组中的合成细胞条码。

Analysis of synthetic cellular barcodes in the genome and transcriptome with BARtab and bartools.

机构信息

Peter MacCallum Cancer Centre, Melbourne, VIC 3000, Australia; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, VIC 3000, Australia.

Peter MacCallum Cancer Centre, Melbourne, VIC 3000, Australia; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, VIC 3000, Australia; The University of Melbourne Centre for Cancer Research, The University of Melbourne, Melbourne, VIC 3000, Australia.

出版信息

Cell Rep Methods. 2024 May 20;4(5):100763. doi: 10.1016/j.crmeth.2024.100763. Epub 2024 Apr 25.

Abstract

Cellular barcoding is a lineage-tracing methodology that couples heritable synthetic barcodes to high-throughput sequencing, enabling the accurate tracing of cell lineages across a range of biological contexts. Recent studies have extended these methods by incorporating lineage information into single-cell or spatial transcriptomics readouts. Leveraging the rich biological information within these datasets requires dedicated computational tools for dataset pre-processing and analysis. Here, we present BARtab, a portable and scalable Nextflow pipeline, and bartools, an open-source R package, designed to provide an integrated end-to-end cellular barcoding analysis toolkit. BARtab and bartools contain methods to simplify the extraction, quality control, analysis, and visualization of lineage barcodes from population-level, single-cell, and spatial transcriptomics experiments. We showcase the utility of our integrated BARtab and bartools workflow via the analysis of exemplar bulk, single-cell, and spatial transcriptomics experiments containing cellular barcoding information.

摘要

细胞条形码技术是一种谱系追踪方法,它将可遗传的合成条形码与高通量测序相结合,能够在多种生物背景下准确追踪细胞谱系。最近的研究通过将谱系信息纳入单细胞或空间转录组学读数,扩展了这些方法。利用这些数据集内丰富的生物学信息,需要专门的计算工具来进行数据集预处理和分析。在这里,我们提出了 BARtab,一个可移植和可扩展的 Nextflow 管道,以及 bartools,一个开源的 R 包,旨在提供一个集成的端到端细胞条形码分析工具包。BARtab 和 bartools 包含了从群体水平、单细胞和空间转录组学实验中提取、质量控制、分析和可视化谱系条形码的方法。我们通过分析含有细胞条形码信息的示例批量、单细胞和空间转录组学实验,展示了我们集成的 BARtab 和 bartools 工作流程的实用性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/524c/11133760/ecf83330bc0d/fx1.jpg

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