Passive Demethylation

Model passive methylation dilution across divisions.

Description

Passive-demethylation retention can be summarized across divisions using an assumed retained fraction.

Passive-demethylation retention can be summarized across divisions using an assumed retained fraction.1

Model passive methylation dilution across divisions.

When to use Passive Demethylation

Use this tool to model passive methylation dilution across divisions.

Prepare the already measured signals, counts, coordinates, fitted coefficients or sequence strings requested. Keep assay definitions, units, aligned lists and caller-selected thresholds consistent.

How to use Passive Demethylation and understand its results

  1. Prepare the already measured signals, counts, coordinates, fitted coefficients or sequence strings requested. Keep assay definitions, units, aligned lists and caller-selected thresholds consistent.
  2. Enter initialMethylationPercent, cellDivisions, maintenanceFidelityPercent using the field table and calculation rules, then run the tool.
  3. Read retainedMethylationPercent, lostMethylationPoints. The explanation below defines the units, signs, ordering and any flags or placeholder values.
  4. If the tool reports an input issue, correct the values and run it again. Apply the stated assumptions when interpreting a successfully returned result.
Input fieldMeaningValue type; see rules belowRequirement
initialMethylationPercentInitial methylationnumber; minimum: 0; maximum: 100Required
cellDivisionsCell divisionsinteger; minimum: 0Required
maintenanceFidelityPercentMaintenance fidelitynumber; minimum: 0; maximum: 100Required

Enter percentages 0–100 and nonnegative integer divisions; return remaining percentage and lost percentage points. Zero divisions retain the initial value.

remaining%=initial%×(fidelity%/100)^divisions

Units, indexing, boundary conditions and exceptional cases are defined in the calculation rules above.

Output fieldMeaningValue type
retainedMethylationPercentRetained methylationnumber; minimum: 0; maximum: 100
lostMethylationPointsLost methylationnumber; minimum: 0
json
{
  "input": {
    "initialMethylationPercent": 80,
    "cellDivisions": 2,
    "maintenanceFidelityPercent": 50
  },
  "output": {
    "retainedMethylationPercent": 20,
    "lostMethylationPoints": 60
  }
}

Limitations and assumptions

No strand-specific replication, selection or enzyme kinetics is modeled.

Numeric inputs, where present, must be finite. Follow the calculation-specific rules for overflow, underflow and exceptional cases. Missing required fields, extra fields, wrong value types and violations of the calculation rules are input errors.

Alternative or Complementary methods

Use TET Cascade Stage: Map a cytosine modification to its TET cascade stage. For a complementary task, use Epimutation Rate: Estimate epimutation rate per site and generation.

References

  1. Passive Demethylation — tool.io

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