Controlled quantitative mixtures : UPS2 protein standard spike-in into mouse cerebellum
samples. The UPS2 was spiked into 10 biologically different cerebellum samples to simulate a
real biological experiment with varying biological background. The concentration of the
cerebellum samples was adjusted to 1 μg/μL and spiked with 5 different concentrations of the UPS2 digest in duplicates. The UPS2 consisted of 48 proteins organized in 6 abundance tiers each with 8 proteins, covering 5 orders of magnitude. On the basis of the lowest abundant tier the protein concentrations were S1: 0.05 amol/μL, S2: 0.055 amol/μL (+10%), S3: 0.072 amol/μL (+30%), S4: 0.136 amol/μL (+90%), and S5: 0.503 amol/μL(+270%) (assuming no losses during sample preparation). The sample set was measured in Biognosys facility (BGS). For library generation, 20 μg aliquots of the 10 samples were pooled. After fractionation, the pooled fractions were analyzed by a DDA method. DDA data were searched with MaxQuant 1.5.6.537 against the UniProt mouse database (downloaded on Jan sixth, 2016 as FASTA file) and the UPS2 database (www.sigma.com/ups) using the following settings, fixed modifications: carbamidomethyl (C); variable modifications: oxidation (M), acetyl (protein Nterm); enzyme: Trypsin/P; max. missed cleavages: 2; first search peptide tolerance: 20 ppm; main search peptide tolerance: 4.5 ppm; second peptide search was enabled. All other settings were set to default. Results were filtered by 1% FDR on PSM and protein level. The MaxQuant search results were imported into Spectronaut Pulsar 11 (11.0.15038.5)11 to generate a library using the default settings. To avoid interferences from peptides that are shared between the UPS2 proteins and the mouse proteome, these peptides were removed from the library using in house R scripts. DIA data were analyzed in Spectronaut Pulsar X (12.0.20228.0, Biognosys, Schlieren, Switzerland) using the previously generated library and default settings. The default normalization strategy was applied (local regression normal- ization38). The results were filtered by an FDR of 1% on precursor and protein group level (Q value <0.01). For statistical analysis, precursors with more than 20% missing values across the 10 MS runs ofDIA data were filtered out. The remaining precursors were mapped to protein IDs. All the intensities of the precursors uniquely mapped to a protein were summarized into a single protein-level intensity in each sample, by calculating the median intensity of precursors of the protein in a sample. The two-sample t-test was used separately for each protein to detect changes in protein abundance between two groups with the different spiked-in concentrations that are more systematic than as expected by random chance. description.pdf including details for data processing and statistical analysis and R script are available in the 'Methods' folder.
[doi:10.25345/C5TJ1V]
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Keywords: MassIVE.quant reviewed - Platinum
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