MassIVE MSV000090832

Partial Public

LFQ_benchmark_artificial_batch_effect

Description

LFQ benchmark from commercial digests according to Kuharev, Joerg, et al. (2015) Sample A 5%, 30%, 65% E.coli, Yeast, Human; 1ug on column Sample B 20%, 15%, 65% E.coli, Yeast, Human; 0.7ug on column Sample C Average of Sample A and B for Spectral Library by Gas-Phase Fractionationation; 1ug on column (just for completeness, I do not use GPF anymore for my applications, please use predicted libraries or use the GPF with caution). The dilution of sample B to 70% of total concentration lifts up measured log2 fold-changes by +0.5. For non-normalized data, expected log2 fold-changes are -1.5 (E.coli), +0.5(Human), +1.5 (Yeast). A perfect cross-run normalization would restore log2 fold-changes to the classical values of -2,0,+1. If a normalization does not perform as expected or over-corrects, this LFQ benchmark can show this especially on the precursor level. 30 min linear gradient on a classical nanflow trap-elute setup using Dionex3000 and Acclaim PepMap columns. [doi:10.25345/C5CN6Z423] [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: LFQ benchmark, Multi-Species Mixtures, Quantitative Accuracy

Contact

Principal Investigators:
(in alphabetical order)
Andrej Shevchenko, MPI-CBG Dresden, Germany
Submitting User: Tobias
Number of Files:
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Spectra:
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Owner Reanalyses
Experimental Design
    Conditions:
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Identification Results
    Proteins (Human, Remapped):
    Proteins (Reported):
    Peptides:
    Variant Peptides:
    PSMs:
 
Quantification Results
    Differential Proteins:
    Quantified Proteins:
 
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Number of distinct conditions across all analyses (original submission and reanalyses) associated with this dataset.

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Number of distinct biological replicates across all analyses (original submission and reanalyses) associated with this dataset.

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Originally identified proteins that were automatically remapped by MassIVE to proteins in the SwissProt human reference database.

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Number of distinct peptide sequences (including modified variants or peptidoforms) reported across all analyses (original submission and reanalyses) associated with this dataset.

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Total number of peptide-spectrum matches (i.e. spectrum identifications) reported across all analyses (original submission and reanalyses) associated with this dataset.

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Number of distinct proteins quantified across all analyses (original submission and reanalyses) associated with this dataset.

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Number of distinct proteins found to be differentially abundant in at least one comparison across all analyses (original submission and reanalyses) associated with this dataset.

A protein is differentially abundant if its change in abundance across conditions is found to be statistically significant with an adjusted p-value <= 0.05 and lists no issues associated with statistical tests for differential abundance.

Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

"N/A" means no results of this type were submitted.
This dataset may not contain all raw spectra data as originally deposited in PRIDE. It has been imported to MassIVE for reanalysis purposes, so its spectra data here may consist solely of processed peak lists suitable for reanalysis with most software.