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. 2022 Dec 8;22(1):100477. doi: 10.1016/j.mcpro.2022.100477

Table 1.

Simulated and experimental datasets

Experimental type Dataset No. of conditions No. of bio. replicates No. of mod. peptides No. of mod. features/site No. of unmod. Features/site Data availability Analysis
Known ground truth Computer Simulation 1—Label-free 2/3/4 2/3/5/10 1000 10 10 Github
Computer Simulation 2—Missing and low features 2/3/4 2/3/5/10 1000 2 10 Github
Spike-in benchmark—Ubiquitination—Label-free 4 2 12,137 1.37 10.17 MSV000088971 RMSV000000669
Biological experiment Human—Ubiquitinatio=n—1mix-TMT 6 2 or 1 8848 1.21 11.01 MSV000088966 RMSV000000356
Mouse—Phosphorylation—2mix-TMT 6 4 or 3 26,433 1.67 11.61 MSV000085565 RMSV000000357
Human—Ubiquitination—Label-free 6 2 10,799 1.40 1.65 MSV000078977 RMSV000000358

“Dataset” is the dataset code name. “No. of bio. replicates” shows the number of biological replicates per condition. Simulations were generated with different numbers of replicates. The designs of two biological experiments were unbalanced with unequal replicates per condition. “No. of mod. features/site” is the number of features (i.e., peptide ions) used to estimate the abundance of a single modification. “No. of unmod. peptides/protein” is the number of peptide ions without modifications that were used to estimate the global protein abundance. “Data availability” is the ID of the MassIVE.quant repository or the GitHub repository. “Analysis” is the ID of the MassIVE.quant reanalysis container, containing analysis code and modeling results. All the experiments were conducted in data-dependent acquisition (DDA) mode.