Author
Philip Greulich
University of SouthamptonORCID 0000-0001-5247-6738Unclaimed ORCID profile · follow to get notified of new preprints
Biology Disciplines
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2020-2024 · peak 3/yrCo-Author Collaboration Network
10 top collaborators · 13 mutual co-author links6 papers
Recent·Most cited
- Developmental BiologyPLoS Computational BiologyPeer-reviewed
Emergent order in epithelial sheets by interplay of cell divisions and cell fate regulation
The paper uses a computational model to show how cell division and fate regulation influence macroscopic cell type patterns in epithelial sheets, revealing different patterns based on signaling and division symmetry.
1 citation - NeuroscienceStem Cell ReportsPeer-reviewed
Dynamic spatiotemporal activation of a pervasive neurogenic competence in striatal astrocytes supports continuous neurogenesis following injury
Marco Fogli, Giulia Nato, Philip Greulich…·Federico Luzzati
The paper shows that striatal astrocytes have widespread neurogenic potential that is activated focally after injury, with behavior similar to canonical niches.
6 citations - NeuroscienceCell ReportsPeer-reviewed
Microglial colonisation of the developing brain is facilitated by clonal expansion of highly proliferative progenitors and follows an allometric scaling
Liam Barry-Carroll, Philip Greulich, Abigail R. Marshall…·Diego Gómez‐Nicola
This study investigates microglial colonisation during brain development, showing clonal expansion of proliferative progenitors and an allometric scaling of microglia density.
53 citationstop 3% - Systems BiologyDevelopmentPeer-reviewed
Universal principles of lineage architecture and stem cell identity in renewing tissues
Philip Greulich, Ben D. MacArthur, Cristina Parigini, Rubén J. Sánchez-García
This paper develops a framework to understand lineage architecture and stem cell identity using network science, showing that lineage structures arise from homeostasis and that stemness is context-dependent.
19 citations - Systems BiologyeLifePeer-reviewed
Universality of clonal dynamics poses fundamental limits to identify stem cell self-renewal strategies
Cristina Parigini, Philip Greulich
The paper shows that stem cell self-renewal models fall into two universality classes with identical clonal statistics under asymptotic conditions, making it difficult to distinguish between models within the same class using clonal data alone.
13 citations