MassIVE MSV000079982

Imported Reanalysis Dataset Public PXD002211

Quantification of cytokines secreted by primary human cells using MRM: evaluation of analytical parameters รข?? shotgun secretome data of inflammatory stimulated HUVECs

Description

The determination of secreted proteins may provide highly valuable information about cell functions. While the typical methods for the determination of biologically relevant but low-abundant molecular species still relies on the use of specific antibodies, mass spectrometry-based methods are now gaining sufficient sensitivity to cope with such challenges. In the current study we have identified several cytokines and chemokines which were induced by inflammatory activation of primary human umbilical vein endothelial cells. Based on the high-resolution mass spectrometry data obtained with a Q Exactive orbitrap, we built an MRM method to quantify the most relevant molecules selected from the screening experiment. Using nano-flow Chip-HPLC coupled to a 6490 triple-quadrupole MS for MRM analyses we achieved calibration curves covering a linear range of four orders of magnitude and detection limits in the low attomol per microliter concentration range. Carryover was consistently less than 0.005%, the accuracy between 80% and 120% and the median coefficient of variation for LC/MS was only 2.2%. When including the variance introduced by biological replicates and the digestion procedure, the coefficient of variation was less than 20% for most peptides. Selection of appropriate marker molecules allowed us to monitor typical cell culture variations such as different cell densities, proliferative states and the occurrence of cell death. As a result, here we present a robust and efficient MRM-based assay for the accurate and sensitive determination of cytokines and chemokines representative for functional cell states and including comprehensive quality controls. [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: Analytical assay ; cytokines ; inflammation ; primary human cells ; proteome profiling ; targeted proteomics

Contact

Principal Investigators:
(in alphabetical order)
Dr Christopher Gerner
Submitting User: ccms

Publications

Muqaku B, Slany A, Bileck A, Kreutz D, Gerner C.
Quantification of cytokines secreted by primary human cells using multiple reaction monitoring: evaluation of analytical parameters.
Anal Bioanal Chem. 2015 Aug;407(21):6525-36. Epub 2015 Jun 20.

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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.

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 peptide sequences (including modified variants or peptidoforms) 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.