PEBBLE BioFusion | Part 2
Damage feedback and repair decline
After the minimal model, what changes when damage can accelerate its own accumulation and weaken repair?
Terminal cells-
Mean terminal damage-
Damage range-
Correlation with O-history-
Cells that died-
O edge: larger inherited shareN edge: smaller inherited sharelow damagehigh damage✕ cell died before dividing
no feedback or repair decline: f = q = 0current f and q valuesdeterministic update: no noise, partitioning, or death
Pair challenges
- Start with 1. Symmetric. Before running, predict whether the O-history plot should have a slope.
- Choose 2. Asymmetric. Increase asymmetry from
0.18to0.30. Which plot changes most, and why? - Choose 3. More repair. Does repair erase the branch pattern, or merely shrink damage values?
- Choose 4. Death threshold. Which branches disappear first, and why does this create selection among lineages?
- For the trajectory chart, set
feedback = 0andrepair decline = 0, then increase one parameter at a time. Which parameter makes the curve bend upward, and why? - Make one evidence-based claim: “Changing ___ caused ___ in the ___ plot; therefore ___.”
reff = r / (1 + q Dt)
aeff = a (1 + f Dt)
Pt = max(0, (1 - reff) Dt + aeff + εt)
if Pt ≥ T: cell dies before division
DOt+1 = (0.5 + s) Pt, DNt+1 = (0.5 - s) Pt
Here aeff = a (1 + f Dt)
Pt = max(0, (1 - reff) Dt + aeff + εt)
if Pt ≥ T: cell dies before division
DOt+1 = (0.5 + s) Pt, DNt+1 = (0.5 - s) Pt
f is damage feedback, q is repair decline, and aeff is the damage newly generated in the current cycle; the remaining symbols have the same meaning as in Part 1. Damage feedback lets already-damaged cells accumulate damage faster; repair decline lets high damage weaken repair. Partitioning moves damage between daughters; only repair removes it.