Arrayed lentiviral barcoding for quantification analysis of hematopoietic dynamics

Abstract

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.

Keywords: Hematopoiesis; Hematopoietic stem cells; In vivo tracking; Lentiviral vector.