Active Heart, Stroke & Blood Genetics & Molecular Biology

Haematopoiesis across Scales, Species and Time: a Foundational Approach to Study Stem Cell Biology and Disease

In plain English

AI plain-English summary

A new computer model tracks individual blood stem cells in mice over time, revealing how they decide to self-renew or turn into mature blood cells—something snapshot techniques cannot capture. This matters because blood stem cells are the foundation of the entire blood and immune system, yet how they behave dynamically in living animals remains poorly understood. Current single-cell genomics takes static pictures, missing the real-time decisions cells make. The researchers have already built a mouse model that links a cell’s molecular state to its actual behaviour, and now plan to extend this across species and into human cells grown in the lab. If successful, the work will produce a computational framework that predicts how blood production responds to stress, ageing, or disease—processes that cannot be directly observed in humans. This is fundamental science, not an immediate therapy. But similar approaches have transformed other fields: understanding how cells behave over time has underpinned advances in cancer treatment and regenerative medicine. A deeper grasp of haematopoiesis could eventually improve bone marrow transplants, anaemia treatments, and leukaemia monitoring.

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The full complexity of biological systems can only be unravelled by working across scales. Here we propose to traverse molecular, cellular and organ scales, as well as working across species and time, to unveil the dynamic system properties defining native and perturbed haematopoiesis. We will build on our recent breakthrough where we combined persistent labelling of stem cells with time-series single-cell genomics to construct computer models of mouse haematopoiesis. Unlike conventional single cell genomics which relies on snapshot data to infer differentiation processes, our approach directly links molecular states with dynamic cellular behaviour at single-cell resolution. The specific objectives of this proposal include defining individual HSC behaviour types in unperturbed mouse in vivo and mouse and human in vitro haematopoiesis, developing computational flux models for precise clonal-level quantification of perturbations, decoding molecular programs governing cell population dynamics, establishing a pipeline to infer unmeasurable human data, and assessing how differentiation speed impacts the fidelity of cell production. Working across scales, time and species, our approach to reveal the dynamic system properties of native and perturbed haematopoiesis represents a real step change for haematopoiesis research, with broad applicability across organs and diseases, including processes that cannot be directly studied in humans.

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Researchers

Berthold Gottgens (EPMC Awardee)Elisa Laurenti (EPMC Awardee)

Related Research

Grants with similar aims, by meaning.

In vivo and in silico mapping of cell-cell interactions in the haematopoietic stem cell niche
Defining the Haematopoietic System through Integrated Multi-Scale Analysis
Molecular and Population Scale Dynamics of Human Haematopoiesis
Haematopoiesis - Novel tools for modelling normal and perturbed haematopoiesis
Haematopoietic stem cells: From single cells to population dynamics

Original classification

Discovery Award

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