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Published on: July 30, 2015
T-cell commitment inheritance-an agent-based multi-scale model
Emil Andersson1, Ellen V Rothenberg2, Carsten Peterson1
1Computational Science for Health and Environment, Centre for Environmental and Climate Science, Lund University, Lund, Sweden.
Cell commitment during T-cell development involves a three-step process. Decision inheritance mechanisms were revealed using an agent-based model, clarifying the timing of T-cell lineage commitment.
Area of Science:
- Immunology
- Developmental Biology
- Computational Biology
Background:
- T-cell development is a model for lineage commitment from multipotent progenitors.
- Intrathymic T-cell development, molecular circuitry, and gene regulation are well-studied.
- The precise timing between T-cell decision-making and commitment remains unclear.
Purpose of the Study:
- To investigate inheritance in early T-cell development.
- To explore the temporal relationship between T-cell decision-making and commitment.
- To analyze cell lineage relationships using an agent-based model.
Main Methods:
- Implementation of an agent-based multi-scale model for simulating T-cell development.
- Tracking individual cells to construct lineage trees.
- Introduction and analysis of the last common ancestor (LCA) concept for committed cells.
- Simulation of wild-type development and knockdown analysis.
Main Results:
- T-cell commitment is a three-step process occurring over several cell generations after an initial transcriptional switch.
- Loss of Bcl11b-opposing function occurs 2-3 generations post-transcriptional switch.
- Last common ancestor (LCA) analysis indicates commitment decisions are made earlier than the actual commitment transition (DN2b state).
- Evidence of decision inheritance in T-cell commitment mechanisms.
Conclusions:
- T-cell commitment is a multi-step, temporally regulated process.
- Decision inheritance plays a role in T-cell lineage commitment.
- Agent-based modeling provides insights into the dynamics of cell development and decision-making.
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