MassIVE MSV000093615

Partial Public PXD047666

Proteomics of dried blood collected on Mitra devices

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Description

Venous blood was collected in Li-heparin or EDTA blood tubes and loaded onto 20 uL Mitra devices or separated to plasma as detailed in metadata. Samples were denatured in 5.5% SDC, reduced and alkylated, and digested with TPCK-trypsin followed by acid precipitation. Filtered precipitated were analyzed by direct injection microflow-LC using a Waters ACQUITY, 1 mm x 150 mm ACQUITY Premier column at 100 uL/min with post-column DMSO and solvent divert. MS/MS used an Exploris 480 with staggered/overlapping DIA acquistion. Demultiplexing was performed using HTRMS converter (Biognosys) and data was analyzed with Spectronaut 18 (Biognosys). [doi:10.25345/C54Q7R163] [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: whole blood ; microsampling ; microflow ; data-indepndent acquistion ; plasma

Contact

Principal Investigators:
(in alphabetical order) 		Matthew W. Foster, Duke University, USA
Submitting User: mwfoster
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Experimental Design
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Identification Results
    Proteins (Human, Remapped):
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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.

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

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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 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.

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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.

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.