MassIVE MSV000084629

Partial Public PXD016484

Concentration determination of >200 proteins in dried blood spots for biomarker discovery and validation

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Description

Raw files were created using XCalibur 3.0.63 (Thermo Scientific) software and analysed with Thermo Proteome Discoverer 2.2.0.388 software suite (Thermo Scientific). The raw data files were processed as previously described 26 with the following modifications: the peak lists were submitted to Mascot 2.4.1and Sequest servers using the UniProt human database 28 which contained 20,338 protein sequences. The enzyme was set to Trypsin (Full) with max missed cleavage set to 2. The fixed modification was set to carbamidomethyl and variable modifications were set as oxidation (M), deamidation (NQ), and N-terminal methionine loss. Precursor and fragment mass tolerances were set at 8 ppm and 0.8 Da, respectively. Peptide spectral match validation was performed using Percolator setting the maximum Delta Cn to 0.05 and decoy database searches at 0.01 for target FDR (Strict), 0.05 (relaxed) and validation based on q-Value [doi:10.25345/C5S100] [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: dired blood spot

Contact

Principal Investigators:
(in alphabetical order) 		Christoph H. Borchers, Segal Cancer Proteomics Centre, Lady Davis Institute, Jewish General Hospital, McGill University, Montreal, Quebec, H3T 1E2, Canada, Canada
Submitting User: aeshghi

Publications

Eshghi A, Pistawka AJ, Liu J, Chen M, Sinclair NJT, Hardie DB, Elliott M, Chen L, Newman R, Mohammed Y, Borchers CH.
Concentration determination of >200 proteins in dried blood spots for biomarker discovery and validation.
Mol. Cell Proteomics. Epub 2020 Jan 2.

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Experimental Design
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Identification Results
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Quantification Results
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Number of distinct conditions across all analyses (original submission and reanalyses) associated with this dataset.

Distinct condition labels are counted across all files submitted in the "Metadata" category having a "Condition" column in this dataset.

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

Distinct replicate labels are counted across all files submitted in the "Metadata" category having a "BioReplicate" or "Replicate" column in this dataset.

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

The technical replicate count is defined as the maximum number of times any one distinct combination of condition and biological replicate was analyzed across all files submitted in the "Metadata" category. In the case of fractionated experiments, only the first fraction is considered.

"N/A" means no results of this type were submitted.
Originally identified proteins that were automatically remapped by MassIVE to proteins in the SwissProt human reference database.

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Number of distinct protein accessions reported across all analyses (original submission and reanalyses) associated with this dataset.

"N/A" means no results of this type were submitted.
Number of distinct unmodified peptide sequences reported across all analyses (original submission and reanalyses) associated with this dataset.

"N/A" means no results of this type were submitted.
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.

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.
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.