Grosselin Jeanne, Sii-Felice Karine, Payen Emmanuel, Chretien Stany, Tronik-Le Roux Diana, Leboulch Philippe
CEA, Institute of Emerging Diseases and Innovative Therapies (iMETI), F-92265 Fontenay-aux-Roses, Paris, France; Inserm U962 and University Paris Sud 11, CEA-iMETI, F-92265 Fontenay-aux-Roses, Paris, France.
Stem Cells. 2013 Oct;31(10):2162-71. doi: 10.1002/stem.1383.
Our understanding of system dynamics of mixed cell populations in whole organisms has benefited from the advent of individual cell marking by nonarrayed DNA barcodes subsequently analyzed by high-throughput DNA sequencing. However, key limitations include statistical biases compromising quantification and the lack of applicability to deconvolute individual cell fate in vivo after pooling single cells differentially exposed to different conditions ex vivo. Here, we have derived an arrayed lentiviral library of DNA barcodes and obtained a proof-of-concept of its resolving capacity by quantifying hematopoietic regeneration after engraftment of mice with genetically modified autologous cells. This method has helped clarify and bridge the seemingly opposed clonal-succession and continuous-recruitment models of hematopoietic stem cell behavior and revealed that myeloid-lymphoid biases are common occurrences in steady-state hematopoiesis. Arrayed lentiviral barcoding should prove a versatile and powerful approach to deconvolute cell dynamics in vivo with applications in hematology, embryology, and cancer biology.
通过高通量DNA测序分析非阵列DNA条形码对单个细胞进行标记,我们对整个生物体中混合细胞群体的系统动力学有了更深入的理解。然而,关键的局限性包括影响定量的统计偏差,以及在将体外不同条件下差异暴露的单个细胞汇集后,缺乏在体内反卷积单个细胞命运的适用性。在这里,我们构建了一个阵列化的DNA条形码慢病毒文库,并通过对基因改造的自体细胞移植小鼠后的造血再生进行定量,获得了其解析能力的概念验证。该方法有助于阐明并弥合造血干细胞行为中看似相反的克隆演替和连续招募模型,并揭示髓系-淋巴系偏向在稳态造血中是常见现象。阵列化慢病毒条形码技术应被证明是一种通用且强大的方法,可用于反卷积体内细胞动力学,在血液学、胚胎学和癌症生物学中具有应用价值。