MassIVE MSV000096202

Imported Reanalysis Dataset Public PXD040205

Fast proteomics with dia-PASEF and analytical flow-rate chromatography

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Description

The presented approach is a combination of analytical flow rate chromatography with ion mobility separation of peptide ions, data-independent acquisition, and raw data processing using the DIA-NN software suite, to conduct fast, low-cost proteomic experiments that only require moderate sample amounts. The present dataset contains a series of benchmarks. Specifically, a dilution series of a K562 digest standard acquired using 5-minute and 3-minute chromatographic gradients, as well as a mixed-species human–E.coli benchmark for quantitative performance. We further demonstrate the application of the proposed approach to the analysis of plasma proteomes of COVID-19 patients, using a 3-minute gradient acquisition on a dual-column liquid chromatography system at a throughput of 398 samples/day. [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: Short gradient ; Dia-pasef ; Timstof ; Fast methods ; Plasma proteomics ; High-throughput ; Covid-19 ; DatasetType:Proteomics

Contact

Principal Investigators:
(in alphabetical order) 		prof. Markus Ralser, 1)Department of Biochemistry, Charit� � Universit�tsmedizin Berlin, Berlin, Germany. 2)The Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, UK 3)Max Planck Institute for Molecular Genetics, Berlin, Germany, N/A
Submitting User: ccms

Publications

Szyrwiel L, Gille C, Mülleder M, Demichev V, Ralser M.
Fast proteomics with dia-PASEF and analytical flow-rate chromatography.
Proteomics. 2024 Jan;24(1-2):e2300100. Epub 2023 Jun 7.

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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.

"N/A" means no results of this type were submitted.
Total number of peptide-spectrum matches (i.e. spectrum identifications) 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 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.