Mechanisms of blood homeostasis: lineage tracking and a neutral model of cell populations in rhesus macaques. Issue 1 (December 2015)

• Record Type: Journal Article
• Authors: Goyal, Sidhartha; Kim, Sanggu; Chen, Irvin; Chou, Tom
• Is Part Of: BMC biology. Volume 13:Issue 1(2015)
• Page Start: 1
• Page End: 14
• Publication Date: 2015-12
• Subjects: Hematopoiesis -- Stem cell clones -- Lineage tracking -- Mathematical modeling; Biology -- Periodicals; Medical sciences -- Periodicals; Biomedical Research -- Periodicals; 570.5
• DOI: 10.1186/s12915-015-0191-8
• Languages: English
• ISSNs: 1741-7007

Abstract

Abstract Background How a potentially diverse population of hematopoietic stem cells (HSCs) differentiates and proliferates to supply more than 1011 mature blood cells every day in humans remains a key biological question. We investigated this process by quantitatively analyzing theclonal structure of peripheral blood that is generated by a population of transplanted lentivirus-marked HSCs in myeloablated rhesus macaques. Each transplanted HSC generates a clonal lineage of cells in the peripheral blood that is then detected and quantified through deep sequencing of the viral vector integration sites (VIS) common within each lineage. This approach allowed us to observe, over a period of 4-12 years, hundreds of distinct clonal lineages. Results While the distinct clone sizes varied by three orders of magnitude, we found that collectively, they form a steady-state clone size-distribution with a distinctive shape. Steady-state solutions of our model show that the predicted clone size-distribution is sensitive to only two combinations of parameters. By fitting the measured clone size-distributions to our mechanistic model, we estimate both the effective HSC differentiation rate and the number of active HSCs. Conclusions Our concise mathematical model shows how slow HSC differentiation followed by fast progenitor growth can be responsible for the observed broad clone size-distribution. Although all cells are assumed to be statistically identical, analogous to a neutral theory for the different clone lineages, our mathematical approach captures the intrinsic variability in the times to HSC differentiation after transplantation.