Suppr超能文献

基因治疗患者的克隆追踪揭示了人类造血分化程序的多样性。

Clonal tracking in gene therapy patients reveals a diversity of human hematopoietic differentiation programs.

机构信息

INSERM UMR 1163, Laboratory of Human Lymphohematopoiesis, Paris, France.

Imagine Institute, Paris Descartes-Sorbonne Paris Cité University, Paris, France.

出版信息

Blood. 2020 Apr 9;135(15):1219-1231. doi: 10.1182/blood.2019002350.

Abstract

In gene therapy with human hematopoietic stem and progenitor cells (HSPCs), each gene-corrected cell and its progeny are marked in a unique way by the integrating vector. This feature enables lineages to be tracked by sampling blood cells and using DNA sequencing to identify the vector integration sites. Here, we studied 5 cell lineages (granulocytes, monocytes, T cells, B cells, and natural killer cells) in patients having undergone HSPC gene therapy for Wiskott-Aldrich syndrome or β hemoglobinopathies. We found that the estimated minimum number of active, repopulating HSPCs (which ranged from 2000 to 50 000) was correlated with the number of HSPCs per kilogram infused. We sought to quantify the lineage output and dynamics of gene-modified clones; this is usually challenging because of sparse sampling of the various cell types during the analytical procedure, contamination during cell isolation, and different levels of vector marking in the various lineages. We therefore measured the residual contamination and corrected our statistical models accordingly to provide a rigorous analysis of the HSPC lineage output. A cluster analysis of the HSPC lineage output highlighted the existence of several stable, distinct differentiation programs, including myeloid-dominant, lymphoid-dominant, and balanced cell subsets. Our study evidenced the heterogeneous nature of the cell lineage output from HSPCs and provided methods for analyzing these complex data.

摘要

在利用人类造血干/祖细胞(HSPCs)进行基因治疗的过程中,整合载体以独特的方式标记每个基因校正后的细胞及其后代。该特征使我们能够通过采集血液样本并使用 DNA 测序来识别载体整合位点,从而追踪谱系。在这里,我们研究了接受 HSPC 基因治疗的患有威斯科特-奥尔德里奇综合征或β血红蛋白病患者的 5 种细胞谱系(粒细胞、单核细胞、T 细胞、B 细胞和自然杀伤细胞)。我们发现,估计的活跃、重编程 HSPCs 的最小数量(范围为 2000 至 50000 个)与输注的每公斤 HSPCs 数量相关。我们试图量化经基因修饰的克隆的谱系输出和动力学;由于在分析过程中对各种细胞类型的稀疏采样、细胞分离过程中的污染以及不同谱系中载体标记的不同水平,这通常具有挑战性。因此,我们测量了残留污染,并相应地校正了我们的统计模型,以对 HSPC 谱系输出进行严格分析。对 HSPC 谱系输出的聚类分析突出了存在几种稳定的、不同的分化程序,包括髓系主导、淋巴系主导和平衡的细胞亚群。我们的研究证明了 HSPC 产生的细胞谱系输出具有异质性,并提供了分析这些复杂数据的方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c70a/7146019/82476477de57/bloodBLD2019002350absf1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验