Description Usage Arguments Value Examples
To estimate how much of the "old" isotope is being used in "new" proteins we can use the expression level of miss-cleaved peptides that contain a mix of isotopes (one old and one new) and miss-cleaved peptides that contain only new isotopes. This can be done using the following formula:
Which gives an idea of how much recyling (turnover understimation) is happening.
Both peptide types, mix of old/new isotope and two new isotopes, have to be found in a time point to calculate the fraction of old isotope.
1 2 3 4 5 6 7 | calculateOldIsotopePool(x, ...)
## S4 method for signature 'SilacPeptideExperiment'
calculateOldIsotopePool(x, newIsotopeAssayName, mixIsotopeAssayName)
## S4 method for signature 'SilacProteomicsExperiment'
calculateOldIsotopePool(x, newIsotopeAssayName, mixIsotopeAssayName)
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x |
A |
... |
Unused. |
newIsotopeAssayName |
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mixIsotopeAssayName |
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A SilacPeptideExperiment
or SilacProteomicsExperiment
with a peptide assay entry named "oldIsotopePool".
1 2 3 4 5 6 7 8 9 10 11 12 13 | data('wormsPE')
data('recycleLightLysine')
protPE <- ProtExp(wormsPE)
missPE <- addMisscleavedPeptides(x = protPE,
newdata = recycleLightLysine,
idColPept = 'Sequence',
modCol = 'Modifications',
dataCols = c(18:31))
names(assays(missPE))[1:2] <- c('int_lys8lys8', 'int_lys8lys0')
missPE <- calculateOldIsotopePool(x = missPE, 'int_lys8lys8', 'int_lys8lys0')
plotDistributionAssay(missPE, assayName = 'oldIsotopePool')
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