Abstract
In multicellular organisms cells compete for resources or growth factors. If any one cell type wins, the co-existence of diverse cell types disappears. Existing dynamic Flux Balance Analysis (dFBA) does not accommodate changes in cell density caused by competition. Therefore we here develop ‘dynamic competition Flux Balance Analysis’ (dcFBA). With total biomass synthesis as objective, lower-growth-yield cells were outcompeted even when cells synthesized mutually required nutrients. Signal transduction between cells established co-existence, which suggests that such ‘socialness’ is required for multicellularity. Whilst mutants with increased specific growth rate did not outgrow the other cell types, loss of social characteristics did enable a mutant to outgrow the other cells. We discuss that ‘asocialness’ rather than enhanced growth rates, i.e., a reduced sensitivity to regulatory factors rather than enhanced growth rates, may characterize cancer cells and organisms causing ecological blooms. Therapies reinforcing cross-regulation may therefore be more effective than those targeting replication rates.
| Original language | English |
|---|---|
| Article number | 53 |
| Pages (from-to) | 1-13 |
| Number of pages | 13 |
| Journal | npj Systems Biology and Applications |
| Volume | 9 |
| DOIs | |
| Publication status | Published - 28 Oct 2023 |
Bibliographical note
Funding Information:This study was supported by a personal development grant from the Guangzhou Elite Project (GEP) Foundation to Yanhua Liu for which we express our gratitude. The funder played no role in study design, data collection, analysis and interpretation of data, nor in the writing of this manuscript. We thank Prof. Stanley Brul for supporting the study.
Publisher Copyright:
© 2023, Crown.
Funding
This study was supported by a personal development grant from the Guangzhou Elite Project (GEP) Foundation to Yanhua Liu for which we express our gratitude. The funder played no role in study design, data collection, analysis and interpretation of data, nor in the writing of this manuscript. We thank Prof. Stanley Brul for supporting the study.
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