Why hyperbolic and kinetic models for cell populations self-organization?

2009 ◽  
pp. 123-134 ◽  
Author(s):  
Benoît Perthame
Keyword(s):  
Kinetic Models ◽  
Self Organization ◽  
Cell Populations

scholarly journals Effects of developmental variability on the dynamics and self-organization of cell populations

2017 ◽  
Vol 19 (11) ◽  
pp. 113024 ◽  
Author(s):  
Kaumudi H Prabhakara ◽  
Azam Gholami ◽  
Vladimir S Zykov ◽  
Eberhard Bodenschatz
Keyword(s):  
Self Organization ◽  
Cell Populations

scholarly journals Metabolic constraints drive self-organization of specialized cell groups

eLife ◽  
2019 ◽  
Vol 8 ◽  
Author(s):  
Sriram Varahan ◽  
Adhish Walvekar ◽  
Vaibhhav Sinha ◽  
Sandeep Krishna ◽  
Sunil Laxman
Keyword(s):  
Self Assembly ◽  
Pentose Phosphate ◽  
Self Organization ◽  
Cell Populations ◽  
Pathway Activity ◽  
Self Organized ◽  
Physico Chemical ◽  
Cell Groups ◽  
Low Glucose ◽  
Activity State

How phenotypically distinct states in isogenic cell populations appear and stably co-exist remains unresolved. We find that within a mature, clonal yeast colony developing in low glucose, cells arrange into metabolically disparate cell groups. Using this system, we model and experimentally identify metabolic constraints sufficient to drive such self-assembly. Beginning in a uniformly gluconeogenic state, cells exhibiting a contrary, high pentose phosphate pathway activity state, spontaneously appear and proliferate, in a spatially constrained manner. Gluconeogenic cells in the colony produce and provide a resource, which we identify as trehalose. Above threshold concentrations of external trehalose, cells switch to the new metabolic state and proliferate. A self-organized system establishes, where cells in this new state are sustained by trehalose consumption, which thereby restrains other cells in the trehalose producing, gluconeogenic state. Our work suggests simple physico-chemical principles that determine how isogenic cells spontaneously self-organize into structured assemblies in complimentary, specialized states.

scholarly journals Metabolic constraints drive self-organization of specialized cell groups

2019 ◽  
Author(s):  
Sriram Varahan ◽  
Adhish Walvekar ◽  
Vaibhhav Sinha ◽  
Sandeep Krishna ◽  
Sunil Laxman
Keyword(s):  
Pentose Phosphate Pathway ◽  
Pentose Phosphate ◽  
Self Organization ◽  
Cell Populations ◽  
Pathway Activity ◽  
Specialized Cell ◽  
Self Organized ◽  
Physico Chemical ◽  
Cell Groups ◽  
Low Glucose

AbstractHow phenotypically distinct states in isogenic cell populations appear and stably co-exist remains an unresolved question. We find that within a clonal yeast colony developing in low glucose, cells arrange into metabolically disparate cell groups. Using this system, we model and experimentally identify metabolic constraints sufficient to drive such assembly. Beginning in a gluconeogenic state, cells in a contrary state, exhibiting high pentose phosphate pathway activity, spontaneously appear and proliferate, in a spatially constrained manner. The gluconeogenic cells in the developing colony produce a resource, which we identify as trehalose. At threshold concentrations of trehalose, cells in the new metabolic state emerge and proliferate. A self-organized system establishes, where cells in this new state are sustained by trehalose consumption, which thereby restrains other cells in the trehalose producing, gluconeogenic state. Our work suggests simple physico-chemical principles that determine how isogenic cells spontaneously self-organize into structured assemblies in complimentary, specialized states.

Kinetic models of self-organization effects in lattice systems

1998 ◽  
Vol 260 (3-4) ◽  
pp. 349-373 ◽  
Author(s):  
V.G. Dubrovskii ◽  
G.E. Cirlin ◽  
D.A. Bauman ◽  
V.V. Kozachek ◽  
V.V. Mareev
Keyword(s):  
Kinetic Models ◽  
Self Organization ◽  
Lattice Systems

An autoregulatory circuit for long-range self-organization in Dictyostelium cell populations

Nature ◽  
2005 ◽  
Vol 433 (7023) ◽  
pp. 323-326 ◽  
Author(s):  
Satoshi Sawai ◽  
Peter A. Thomason ◽  
Edward C. Cox
Keyword(s):  
Long Range ◽  
Self Organization ◽  
Cell Populations ◽  
Dictyostelium Cell

scholarly journals Patient-Derived Organoids Recapitulate Intrinsic Immune Landscapes and Progenitor Populations of Glioblastoma

2021 ◽  
Author(s):  
Fumihiro Watanabe ◽  
Ethan W. Hollingsworth ◽  
Jenna M. Bartley ◽  
Lauren Wisehart ◽  
Rahil Desai ◽  
...  
Keyword(s):  
T Cell Receptor ◽  
Immune Cells ◽  
Cell Receptor ◽  
Self Organization ◽  
Cell Populations ◽  
Tumor Evolution ◽  
Cellular Architecture ◽  
Metabolic States ◽  
Tumor Organoids

SummaryGlioblastoma stem cells (GSCs) are highly self-renewing, resistant to therapy, and are able to form lethal tumors1, 2. Tumor organoids have been developed to study tumor evolution1–4, and while GSCs can form organoids for glioblastoma multiforme, our understanding of their intrinsic immune, metabolic, genetic, and molecular programs is limited. To address this, we deeply characterized GSC-derived GBM organoids using a modified protocol (GBMOsm) from several patient-derived GSCs and found they develop into complex 3D tissues with unique self-organization, cancerous metabolic states, and burdensome genetic landscapes. We discovered that GBMOsc recapitulate the presence of two important cell populations thought to drive GBM progression, SATB2+ and HOPX+ progenitors. Despite being devoid of immune cells, transcriptomic analysis across GBMOsc revealed an immune-like molecular program, enriched in cytokine, antigen presentation and processing, T-cell receptor inhibitors, and interferon genes. We determined that SATB2+ and HOPX+ populations contribute to this immune and interferon landscape in GBM in vivo and GBMOsm. Our work deepens our understanding of the intrinsic molecular and cellular architecture of GSC-derived GBMO and defines a novel GBMOsc intrinsic immune-like program.

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