qData: Extract of the abundances of Exp1_R25_pept dataset

In mariechion/mi4p: Multiple Imputation for Proteomics

Extract of the abundances of Exp1_R25_pept dataset

Description

The data frame qData contains the first 500 rows of six columns that are the quantitation of peptides for the six replicates. They were obtained using the code exprs(Exp1_R25_pept)[1:500,].

Format

The format is: num [1:500, 1:6] 24.8 24.7 24.6 NA 24.5 ... - attr(*, "dimnames")=List of 2 ..$ : chr [1:500] "0" "1" "2" "3" ... ..$ : chr [1:6] "Intensity_C_R1" "Intensity_C_R2" "Intensity_C_R3" "Intensity_D_R1" ...

Details

The DAPARdata's Exp1_R25_pept dataset is the final outcome of a quantitative mass spectrometry-based proteomic analysis of two samples containing different concentrations of 48 human proteins (UPS1 standard from Sigma-Aldrich) within a constant yeast background (see Giai Gianetto et al. (2016) for details). It contains the abundance values of the different human and yeast peptides identified and quantified in these two conditions. The two conditions represent the measured abundances of peptides when respectively 25 fmol and 10 fmol of UPS1 human proteins were mixed with the yeast extract before mass spectrometry analyses. This results in a concentration ratio of 2.5. Three technical replicates were acquired for each condition.

Source

The DAPARdata package.

References

Cox J., Hein M.Y., Luber C.A., Paron I., Nagaraj N., Mann M. Accurate proteome-wide label-free quantification by delayed normalization and maximal peptide ratio extraction, termed MaxLFQ. Mol Cell Proteomics. 2014 Sep, 13(9):2513-26.

Giai Gianetto, Q., Combes, F., Ramus, C., Bruley, C., Coute, Y., Burger, T. (2016). Calibration plot for proteomics: A graphical tool to visually check the assumptions underlying FDR control in quantitative experiments. Proteomics, 16(1), 29-32.

Examples

data(qData)
str(qData)
pairs(qData)
 

mariechion/mi4p documentation built on March 28, 2023, 2:54 p.m.