Mechanistic models of blood cell fate decisions in the era of single-cell data

Research output: Contribution to journalReview articleContributedpeer-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 languageEnglish
Article number100355
Number of pages5
JournalCurrent opinion in systems biology
Volume28
Publication statusPublished - Dec 2021
Peer-reviewedYes

External IDs

PubMedCentral PMC8660645
Scopus 85122691742
ORCID /0000-0002-2524-1199/work/142251496

Keywords

Keywords

  • Blood cell decision-making, Mechanistic models, Single-cell data