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

Rodríguez-Correa, Esther; Grünschläger, Florian; Nizharadze, Tamar; Anstee, Natasha; Al-Sabah, Jude; Kumpost, Vojtech ORCID iD icon 1; Sedlmeier, Anastasia; Li, Congxin; Ball, Melanie; Fotopoulou, Foteini; Jayarajan, Jeyan; Ghezzi, Ian; Knoch, Julia; Druce, Megan; Aurich, Kleo; Büchler-Schäff, Marleen; Lux, Susanne; Hernández-Malmierca, Pablo; Gräsel, Julius; ... mehr

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.


Verlagsausgabe §
DOI: 10.5445/IR/1000193792
Veröffentlicht am 02.06.2026
Originalveröffentlichung
DOI: 10.1038/s41556-026-01958-0
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Automation und angewandte Informatik (IAI)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2026
Sprache Englisch
Identifikator ISSN: 1465-7392, 1476-4679
KITopen-ID: 1000193792
Erschienen in Nature Cell Biology
Verlag Nature Research
Vorab online veröffentlicht am 25.05.2026
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