beltran2016 | R Documentation |
The data contain the spatial proteomics data for 5 time points (24,
48, 72, 96 and 120) and two conditions (HMCV infection and MOCK),
totalling 10 MSnSet
object. Each contains expression data for
1748 to 2220 proteins along 6 fractions quantified by TMT 6-plex.
data(beltran2016HCMV24)
data(beltran2016HCMV48)
data(beltran2016HCMV72)
data(beltran2016HCMV96)
data(beltran2016HCMV120)
data(beltran2016MOCK24)
data(beltran2016MOCK48)
data(beltran2016MOCK72)
data(beltran2016MOCK96)
data(beltran2016MOCK120)
The data is an instance of class MSnSet
from package
MSnbase
.
Jean Beltran PM, Mathias RA, Cristea IM. A Portrait of the Human Organelle Proteome In Space and Time during Cytomegalovirus Infection. Cell Syst. 2016 Oct 26;3(4):361-373.e6. doi: 10.1016/j.cels.2016.08.012. Epub 2016 Sep 15. PubMed PMID: 27641956; PubMed Central PMCID: PMC5083158.
## load the two 24 hours datasets
data(beltran2016MOCK24)
data(beltran2016HCMV24)
beltran2016MOCK24
beltran2016HCMV24
## the expression data
head(exprs(beltran2016MOCK24))
head(exprs(beltran2016HCMV24))
## abstract
abstract(beltran2016HCMV24)
## plotting
library("pRoloc")
par(mfrow = c(1, 2))
plot2D(beltran2016HCMV24, main = "HCMV 24hpi")
plot2D(beltran2016MOCK24, main = "MOCK 24hpi")
## Combine the date as a list and keep only common features
ml <- MSnSetList(list(beltran2016HCMV24, beltran2016MOCK24))
ml <- commonFeatureNames(ml)
par(mfrow = c(1, 2))
plot2D(ml[[1]], main = "HCMV 24hpi")
plot2D(ml[[2]], main = "MOCK 24hpi")
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