Mechanistic models of blood cell fate decisions in the era of single-cell data
Research output: Contribution to journal › Review article › Contributed › peer-review
Contributors
Abstract
Billions of functionally distinct blood cells emerge from a pool of hematopoietic stem cells in our bodies every day. This progressive differentiation process is hierarchically structured and remarkably robust. We provide an introductory review to mathematical approaches addressing the functional aspects of how lineage choice is potentially implemented on a molecular level. Emerging from studies on the mutual repression of key transcription factors, we illustrate how those simple concepts have been challenged in recent years and subsequently extended. Especially, the analysis of omics data on the single-cell level with computational tools provides descriptive insights on a yet unknown level, while their embedding into a consistent mechanistic and mathematical framework is still incomplete.
Details
Original language | English |
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Article number | 100355 |
Number of pages | 5 |
Journal | Current opinion in systems biology |
Volume | 28 |
Publication status | Published - Dec 2021 |
Peer-reviewed | Yes |
External IDs
PubMedCentral | PMC8660645 |
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Scopus | 85122691742 |
ORCID | /0000-0002-2524-1199/work/142251496 |
Keywords
ASJC Scopus subject areas
Keywords
- Blood cell decision-making, Mechanistic models, Single-cell data