
The number of active hematopoietic precursors contributing to native and perturbed hematopoiesis in adult mice can be quantified by leveraging the inverse correlation between the variance of Confetti fluorescent protein expression and the number of precursors.


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Hematopoietic dysfunction has been associated with a reduction in the number of active precursors. However, precursor quantification at homeostasis and under diseased conditions is constrained by the scarcity of available methods. To address this issue, we optimized a method for quantifying a wide range of hematopoietic precursors. Assuming the random induction of a stable label in precursors following a binomial distribution, the estimation depends on the inverse correlation between precursor numbers and the variance of precursor labeling among independent samples. Experimentally validated to cover the full dynamic range of hematopoietic precursors in mice (1 to 105), we utilized this approach to demonstrate that thousands of precursors, which emerge after modest expansion during fetal-to-adult transition, contribute to native and perturbed hematopoiesis. We further estimated the number of precursors in a mouse model of Fanconi Anemia, showcasing how repopulation deficits can be segregated into autologous (cell proliferation) and non-autologous causes (lack of precursor). Our results support an accessible and reliable approach for precursor quantification, emphasizing the contemporary perspective that native hematopoiesis is highly polyclonal.

### Competing Interest Statement

The authors have declared no competing interest.

Dynamic Tracking of Native Polyclonal Hematopoiesis in Adult Mice

quantifying-the-number-of-active-hematopoietic-precursors-in-adult-mice-through-confetti-labeling


Quantifying the Number of Active Hematopoietic Precursors in Adult Mice Through Confetti Labeling
