We study the role of protein homeostasis — "proteostasis" — in stem cell development, with a principal focus on the haematopoietic system and its cancerous transformation to acute myeloid leukaemia.
The haematopoietic system is hierarchical: haematopoietic stem cells (HSCs) sit at the top and give rise to multipotent progenitors (MPPs) and committed progenitors. HSCs and MPPs must self-renew to maintain the system for life-long health.
As mutations accumulate, the system can transform into cancers such as acute myeloid leukaemia (AML). AML is itself hierarchical: rare, drug-resistant and highly potent leukaemic stem cells (LSCs) sustain the cancerous blasts, which in turn block healthy blood formation.
Two decades of transcriptome studies have advanced HSC biology, but left a gap in our understanding of the functional state of the proteome. Proteins are the predominant effectors of cells, and usually the first targets of small molecules.
There is little correlation between the transcriptome and the proteome in young or old mouse HSCs, and the proteome is a better predictor of drug response and survival in haematological malignancies. Yet little is known about the functional proteome of human HSCs. A deeper reading of it can sharpen fundamental stem cell biology, support better non-animal models, and improve regenerative-medicine approaches with real clinical impact.
How do haematopoietic stem cells keep their proteome in balance?
We study the proteome of human HSCs and progenitors from umbilical cord blood, adult bone marrow and mobilised peripheral blood to understand how the proteome changes between cell states, aging and chemokine treatment.
How does proteostasis fail on the path to leukaemia?
We track proteomic changes from HSC-to-LSC using mouse models of disease, and from LSC-to-blast in primary human AML, to find dependencies that leukaemic stem cells rely on but healthy HSCs can spare.
Can we grow functional stem cells outside the body?
We study why HSCs lose potency in culture and how proteome and structural state can be preserved for transplantation and gene therapy.
How is the proteome organised across space and time?
We combine transcriptomics, proteomics, deep spectral immunophenotyping and super-resolution imaging to map how stem cells maintain their biology across stress and during malignant transformation.
Where a dataset is useful to others, we aim to release it with code and an interactive R/Shiny browser, so a protein or gene can be explored without writing any code.
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