Description
Macrophages play a critical role in clearance of cytosolic pathogens.
Autophagy functions at the intersection of antimicrobial innate immunity and protein
quality control; however, the impacts of infection and autophagy on shaping the
macrophage proteome are poorly understood. Here, we describe a deep multi-
dimensional proteomic analysis of primary murine macrophages infected with
Shigella flexneri (S.flexneri). Tandem mass tagging (TMT) revealed dynamic
genotype- and infection-dependent differences in host and pathogen proteins,
phosphorylation and ubiquitination. These data catalogue the complex circuitry
connecting autophagy, inflammatory signaling and the oxidative stress response.
Loss of the autophagy gene Atg16l1 induced basal oxidative stress, activated the
compensatory glutathione biosynthetic machinery, and enhanced clearance of
S.flexneri. Pathogen clearance was similarly enhanced in wild type macrophages
upon pharmacological inhibition of cysteine import. Our study provides a resource for
innate immunity research and reveals that ATG16L1 dampens antimicrobial
immunity by regulating oxidative stress.
[doi:10.25345/C5RH9X]
[dataset license: CC0 1.0 Universal (CC0 1.0)]
Keywords: shigella flexneri ; mus musculus ; tmt multiplexing ; quantitative mass spectrometry ; multiplexed proteomics ; autophagy ; macrophages ; oxidative stress
Contact
Principal Investigators:
(in alphabetical order)
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Aditya Murthy, Genentech, United States
Donald Kirkpatrick, Genentech, United States
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Submitting User: |
hinklet
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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.