MassIVE MSV000079919

Complete Public PXD002346

Urinary polypeptide ETD/CID analysis, part 2

Description

Urine as a biofluid is commonly used in clinical diagnostics, including those performed during pregnancy. Urine is a rich source of polypeptides and protein degradation products, which have been filtered from blood plasma, thus urine has strong potential as a source for novel clinical diagnostics in disease. In this study, we examine the urinary peptidome from normal healthy women during pregnancy, to demonstrate that peptides are readily observed. We utilise the dissociation method, electron transfer dissociation (ETD) to increase the identification rate of the peptides present within these samples, as the polypeptide species observed in these samples are large and highly charged. An increase in the number of peptides whose identities could be ascribed using routine database searching methods was enabled via the use of ETD. [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: Peptidome ; urine ; electron transfer dissociation ; pregnancy ; non-tryptic peptides

Contact

Principal Investigators:
(in alphabetical order)
Dr Sarah Hart
Submitting User: ccms
Number of Files:
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Spectra:
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Owner Reanalyses
Experimental Design
    Conditions:
    Biological Replicates:
    Technical Replicates:
 
Identification Results
    Proteins (Human, Remapped):
    Proteins (Reported):
    Peptides:
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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.

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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.

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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.