MassIVE MSV000084372

Imported Reanalysis Dataset Public PXD010691

PLASMA PROTEOMIC ANALYSIS OF RARE BMI-DISCORDANT MONOZYGOTIC TWIN PAIRS

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Description

The aim of the current study is to establish the effect of excess body wiehgt and liver fat on plasma proteomic profile without interference from genetic variation. Label-free proteomics (HDMSE) was performed on plasma samples of young healthy monozygotic twins who were discordant for BMI. the twins were further subdivided into groups of liver fat discordant and liver fat concordant to see the efefct fo liver fat on plasma proteomic signature. [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: Monozygotic twins ; Plasma proteomics ; Label-free proteomics ; Acquired Obesity ; Complement activation ; HDMSE

Contact

Principal Investigators:
(in alphabetical order) 		Risto Renkonen, Transplantation laboratory, Faculty of Medicine, University of Helsinki, Helsinki, 00290, Finland, N/A
Submitting User: ccms

Publications

Sahebekhtiari N, Saraswat M, Joenväärä S, Jokinen R, Lovric A, Kaye S, Mardinoglu A, Rissanen A, Kaprio J, Renkonen R, Pietiläinen KH.
Plasma Proteomics Analysis Reveals Dysregulation of Complement Proteins and Inflammation in Acquired Obesity-A Study on Rare BMI-Discordant Monozygotic Twin Pairs.
Proteomics Clin Appl. 2019 Jul;13(4):e1800173. Epub 2019 Feb 5.

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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.

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Number of distinct technical 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 protein accessions 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.

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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.