MassIVE MSV000093129

Partial Public

Label free proteomics of the IPF Lung

Description

Idiopathic pulmonary fibrosis is a debilitating disease leading ultimately to death without existing treatment. Here we profiled the proteome of 30 IPF cores and 10 control cores. The goal was to validate findings of snRNA-seq and new informatics means to mine the data (UNAGI) and evaluate in silico drugs that could present efficiency against IPF. The samples were extracted using the MPLEx method, peptides were reduced, alkylated, and digested with trypsin and 5 ul of 0.1 ug/ul were injected on LC-MS/MS on a Lumos instrument. The analysis was performed in DDA label free mode. [doi:10.25345/C5XP6VD8N] [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: Lung ; IPF ; Fibrosis

Contact

Principal Investigators:
(in alphabetical order)
Geremy Clair, Pacific Northwest National Laboratory, United States
Submitting User: alchemistmatt

Publications

Zheng Y, Schupp JC, Adams T, Clair G, Justet A, Ahangari F, Yan X, Hansen P, Carlon M, Cortesi E, Vermant M, Vos R, De Sadeleer LJ, Rosas IO, Pineda R, Sembrat J, Königshoff M, McDonough JE, Vanaudenaerde BM, Wuyts WA, Kaminski N, Ding J.
Unagi: Deep Generative Model for Deciphering Cellular Dynamics and In-Silico Drug Discovery in Complex Diseases.
Res Sq. Epub 2023 Dec 18. doi: 10.21203/rs.3.rs-3676579/v1.

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Number of distinct conditions across all analyses (original submission and reanalyses) associated with 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 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.

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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.