MassIVE MSV000098378

Imported Reanalysis Dataset Public PXD011482

Deep undepleted human serum proteome profiling toward biomarker discovery for Alzheimer’s disease

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Description

Alzheimer's disease (AD) is a neurodegenerative disease, the most common cause of dementia in elderly persons. Accumulation of amyloid plaques in the brain is a characteristic of AD. The requirements for a biomarker include the ability to measure a pathologic process, predict outcome, distinguish disease or measure a pharmacological response to a drug treatment or therapeutic intervention. However, there are no reliable blood based biomarkers for AD. Serum-based protein measurement is a routine practice for biomarkers in human disease, but comprehensive profiling of serum proteome is often masked by the twenty most abundant proteins and impacted by large dynamic range. The commonly used depletion method can alleviate the challenge but introduce additional experimental variation. Here we present a deep analysis of un-depleted human serum proteome by combining 11-plex TMT labeling, exhaustive 2D liquid chromatography fractionation, and high resolution tandem mass spectrometry. This platform is capable of identifying 4,500 protein components, covering 6 orders of dynamic range, representing one of the deepest serum proteome datasets. Finally, a subset of proteins, show statistically significant difference between AD and control samples, which may serve as biomarker candidates. [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: Proteomics ; Alzheimer’s disease ; Human blood ; Mass spectrometry ; Plasma ; Serum ; Proteome ; Tandem mass tag ; Biomarker ; DatasetType:Proteomics

Contact

Principal Investigators:
(in alphabetical order) 		Junmin Peng, St. Jude Children's Research Hospital, N/A
Submitting User: ccms
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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.

"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.

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

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