A kinetics-based model of haematopoiesis reveals extrinsic regulation of skewed lineage output from stem cells

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Authors: Esther Rodriguez-Correa, Florian Grünschläger, Tamar Nizharadze, Natasha Anstee, Jude Al-Sabah, Vojtěch Kumpošt, Anastasia Sedlmeier, Congxin Li, Melanie Ball, Foteini Fotopoulou, Jeyan Jayarajan, Ian Ghezzi
+20 more Julia Knoch, Megan Druce, Kleo Aurich, Marleen Büchler-Schäff, Susanne Lux, Pablo Hernández-Malmierca, Julius Gräsel, Dominik Vonficht, Marta López-Osias, Elvira González-Saiz, Daniel Fernández-Pérez, Anna Mathioudaki, Judith Zaugg, Alejo Rodríguez-Fraticelli, Ralf Mikut, Andreas Trumpp, Thomas Höfer, Daniel Hübschmann, Simon Haas, Michael D. Milsom
Cited by: 1
References: 48

Abstract

Haematopoietic stem cells (HSCs) display extensive molecular and functional heterogeneity. However, a cohesive model that explains the relationship and biological relevance of these diverse HSC states remains elusive. Here, by performing single-cell transplantations of over 1,000 highly purified murine long-term HSCs combined with in-depth phenotyping of their clonal progeny, we define kinetics-based reconstitution parameters which aligned HSCs into a single hierarchical trajectory reflective of functional potency. This approach revealed that previously identified lineage biases are actually transitory states along this linear trajectory, not a discrete stable condition. Single-cell secondary transplantations validated hierarchical ordering based on reconstitution kinetics, whereas mathematical modelling combined with experimental modulation of lineage-biased blood production revealed that apparent lineage-biased outputs actually arise from cell-extrinsic feedback regulation and clonal competition between slow- and fast-engrafting clones to fill mature lineages to their compartment size limit. This study reconciles multiple layers of HSC heterogeneity into a unifying framework.

Fields of Study & Subjects

Hematopoietic Stem Cell Transplantation Zebrafish Biomedical Research Applications Single-cell and spatial transcriptomics

Publication details

Journal / source
Nature Cell Biology
Publisher
Springer Science and Business Media LLC
Volume
28
Issue
6
Pages
1127–1140
Publication date
25 May 2026
Language
EN