Caspase-14 recognizes and processes IL-1β in epithelial cells to drive anti-bacterial IgG production-Analysis of caspase-1 phosphorylation sites
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo Sapiens
SUBMITTER: 
Baoxue Ge
PROVIDER: PXD076141 | iProX | Wed Mar 25 00:00:00 GMT 2026
REPOSITORIES: iProX
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2014-07-10 | PXD000119 | Pride
Project description:The loss of von Hippel-Lindau (VHL) protein function leads to highly vascular renal tumors characterized by an aggressive course of disease and refractoriness to chemotherapy and radiotherapy. Loss of VHL in renal tumors also differs from tumors of other organs in that the oncogenic cascade is mediated by an increase in the levels of hypoxia-inducible factor-2alpha (HIF2alpha) instead of hypoxia-inducible factor-1alpha (HIF1alpha). MS/MS data generated by data dependent acquisition via the LTQ-FT were extracted by BioWorks version 3.3 and searched against a composite IPI human protein sequence database (IPI _human_v 3.73.par) containing both forward and randomized sequences using Mascot version 2.2 (Matrix Science, Boston, MA) search algorithm. Mascot was searched with a fragment ion mass tolerance of 0.80 Da and a parent ion tolerance of 15.0 ppm assuming trypsin as the digestion enzyme with the possibility of one missed cleavage. Carbamidomethylation of cysteine was specified as a fixed modification, while oxidation of methionine, N-terminal protein acetylation, N-terminal peptide and lysine carbamoylation, and phosphorylation of serine and threonine were specified as variable modifications. The analysis of VHL-wt (Caki-2) human RCC and VHL-mut (786-O) cells was carried out from three independent, biological samples from each cell line (tryptic digests of Caki-2 and 786-O, respectively) and duplicate injections were made for each sample. Data processing was accomplished using two software tools: Scaffold (version Scaffold 3.0, Proteome Software Inc., Portland, OR) and Progenesis LC-MS (version 3.0, Nonlinear Dynamics, Durham, NC). Scaffold was employed to validate MS/MS-based peptide and protein identifications from Mascot database searching. Initial peptide identifications were accepted if they could be established at greater than 95% probability as specified by the Peptide Prophet algorithm [20]. Protein probabilities were assigned by the Protein Prophet algorithm [21]. Protein identifications were accepted, if they reached greater than 99% probability and contained at least 2 identified unique peptides. These identification criteria typically established < 0.01% false discovery rate based on a decoy database search strategy at the protein level. Extracted peptide intensities were evaluated with Progenesis LC-MS to obtain label-free relative quantification from the raw data files. The software created a single aggregate run based on LC retention time of each analysis to contain all MS data with distinguished peptide ions and, then, further feature outline maps were generated for detection and quantification of peptide ions from individual analyses using default program parameters. Peptide quantifications were performed by summing peak intensities followed by normalization, data filtering to retain only ions with positive charges (z) of two and three, and exporting peak lists to query against the IPI human protein sequence database using Mascot (see Database Search subsection above). Proteins were accepted as differentially expressed following analysis of variance (ANOVA, P<0.05), requiring at least a twofold change in expression and also passing validation by Peptide Prophet and Protein Prophet using protein identifications from Scaffold.
2013-08-12 | PXD000335 | Pride
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2019-10-22 | PXD015296 | Pride
Project description:Here we evaluate and explore a peptide-centric antibody generated to selectively enrich peptides containing the cAMP-dependent protein kinase A (PKA) consensus motif. This targeted phospho-proteomic strategy is used to profile temporal quantitative changes of protein PKA substrates in Jurkat T-lymphocytes upon prostaglandin E2 stimulation, which increases intracellular cAMP activating PKA. Our method combines ultra-high specificity PKA-motif-based immunoaffinity purification with cost-efficient stable isotope dimethyl labeling. The data set coprises of 4 raw files, 3 of them (IP, IP_2 and IP_3) are the LC-MSMS technical replicates of the eluate of the immunoprecipitation, while the MIX raw files correpsond to the LC-MSMS analysis of the pre-IP cell lysate digest.Each raw data file was processed and quantified with Proteome Discoverer (version 1.3, Thermo Scientific). Peak lists containing HCD and ETD fragmentation were generated with a signal-to-noise threshold of 1.5. The ETD non-fragment filter was also taken into account with the following settings: the precursor peak was removed within a 4 Da window, charged reduced precursors were removed within a 2 Da window, and neutral losses from charged reduced precursors were removed within a 2 Da window and the maximum neutral loss mass was set to 120 Da. All generated peak lists of the IP were searched against a concatenated forward-decoy Swissprot human database (version 2012_09, 40,992 sequences) while the MIX file was searched against a Swissprot database version 2012_09 with taxonomy Homo sapiens (20,235 sequences) by the use of Mascot software (version 2.3.02 Matrix Science). The database search was performed with the following parameters: a mass tolerance of ±50 ppm for precursor masses; ±0.6 Da for ETD-ion trap fragment ions; ±0.05 Da for HCD and ETD-Orbi trap fragment ions, allowing two missed cleavages, cysteine carbamidomethylation as fixed modification. Light, intermediate and heavy dimethylation of peptide N-termini and lysine residues; methionine oxidation; phosphorylation on serine and threonine (only for the IP) were set as variable modifications. The enzyme was specified as Lys-C and the fragment ion type was specified as electrospray ionization FTMS-ECD, ETD-TRAP, and ESI-QUAD-TOF for the corresponding mass spectra. The phosphorylation site localization of the identified phosphopeptides was performed by the phosphoRS algorithm 2.0. The dimethyl-based quantitation method was chosen in Proteome Discoverer, with mass precision requirement of 2 ppm for consecutive precursor mass measurements. We applied 0.5 min of retention time tolerance for isotope pattern multiplets and allowed spectra with maximum 1 missing channels to be quantified. After identification and quantification, we combined all results originating from the same biological replica and filtered them with the following criteria: (i) mass deviations of ±10 ppm, (ii) Mascot Ion Score of at least 20, (iii) a minimum of 6 amino-acid residues per peptide and (iv) position rank 1. Mascot results of the MIX analysis were filtered with the same parameters and with the integrated Percolator based filter using an FDR <1% (based on PSMs).
2013-07-25 | PXD000148 | Pride
Project description:Prefrontal cortex tissue slices from a cognitively and neurpathologically normal human subject were obtained from the University of Pennsylvania (UPenn) Brain Bank. 300-350 mg grey matter was homogenized in 1.5 ml solution A (0.32 M sucrose, 1mM MgCl2 and 0.1mM CaCl2) with a Teflon pestle. ~100 ?l of the homogenate was saved, solubilized with 1% SDS and clarified by centrifugation. To prepare the [13C6]brain ISTD, 400 mg labeled MouseExpress brain tissue (Cambridge Isotopes, MA) was homogenized in 4 ml buffer A as described above, centrifuged at 1,000 x g for 10 min to clarify, agitated on a rocker at 4�C for 30 min, and centrifuged at 10,000 x g for 20 min. The pellet, a crude membrane fraction, was dissolved in 2 ml 20 mM Tris pH 7.4 with 1% SDS. Total protein in all preparations was quantified with the micro BCA assay (Pierce) and all solutions were supplemented with protease and phosphate inhibitor cocktails (Sigma) as well as 1 mM sodium fluoride and sodium orthovanadate (Sigma). Human cortex homogenate was mixed with the [13C6]brain ISTD (1?g/?l) at a ratio of 2:1(?g/?g) and processed for LC-MS/MS: 40 ?l preparations were heated with lithium dodecyl sulfate (LDS) (Invitrogen) buffer at 95�C for 20 min, separated on a 1.5 mm 4-12% Bis-Tris Gel (Invitrogen), cut into five fractions, chopped into ?2 mm cubes, washed in 200 ?l 50% acetonitrile (ACN) containing 25 mM NH4HCO3, reduced in 300 ?l 10 mM DTT, alkylated in 300 ?l 55 mM iodoacetamide (Sigma), and digested with 80-120 ?l trypsin (.025 ?g/?l) (Promega) overnight at 37�C, so that the amount of trypsin was 1:5 of the total protein to be digested by mass. Peptides were recovered from gel cubes into 200 ?l 50/50 H2O/ACN with 3% formic acid by vortex-mixing and sonication for 20 min each, twice. Samples were then evaporated to a 100 ?l volume, brought to 1ml in H20 with 0.1% formic acid, desalted with Oasis� HLB cartridges (Waters), evaporated almost to completion and suspended in ~ 45?l H2O with 0.1% formic acid, and filtered with 0.22 �m Ultra free-MC filter cartridges (Millipore). LC-data dependant -MS/MS analyses were conducted on a Q Exactive (ThermoFisher Scientific) quadrupole orbi-trap hybrid instrument with an Easy nLC-II (ThermoFisher Scientific) nano-pump/autosampler. 3?l peptide sample (~ 1 ug) was loaded and resolved on a 20 cm x 75 �m proteopepII C18 packed tip column over a 90 min gradient at a flow rate of 350 nL/min, 0-35% mobile phase B (ACN, 0.1 formic acid). A data-dependent top 10 method was used to acquire a 70,000 resolution full scan to trigger ten 17,500 resolution HCD scans. Ions were isolated for MS/MS analysis with a 2.0 Da window on the quadrupole. Average cycle times were 1.2 sec. Each sample was analyzed in triplicate. Raw files from triplicate injections were searched together within Proteome Discoverer 1.3 (ThermoFisher Scientific) using SEQUEST and the human refseq. database (release 47, ftp://ftp.ncbi.nih.gov/refseq/H_sapiens/mRNA_Prot/). Search parameters allowed trypsin to cleave after Lysine and Arginine and have 2 missed cleavages. Precursor ion mass tolerance was set to 15 ppm and fragment ion mass tolerance was 20 mmu. The dynamic modification of methionine (oxidation = 15.995 Da) and lysine (13C6 = 6.020 Da), in addition to the static modification of cysteine (carbamidomethylation = 57.021 Da) was accepted on up to 4 residues per peptide. Within the Proteome Discoverer Software, SILAC pairs were identified using the �2 plex� workflow node, and all peptides were rescored using the Percolator algorithm node. Finally, peptides were filtered at 1% false discovery rate (FDR).
2012-12-10 | PXD000004 | Pride
Project description:Background The t(12;21)(p13;q22) translocation is found in 20 to 25% of cases of childhood B-lineage acute lymphoblastic leukemia (B-ALL). This rearrangement results in the fusion of ETV6 (TEL) and RUNX1 (AML1) genes and defines a relatively uniform category, although only some patients suffer very late relapse. TEL/AML1-positive patients are thus an interesting subgroup to study, and such studies should elucidate the biological processes underlying TEL/AML1 pathogenesis. We report an analysis of gene expression in 60 children with B-lineage ALL using Agilent whole genome oligo-chips (44K-G4112A) and/or real time RT-PCR. Results We compared the leukemia cell gene expression profiles of 16 TEL/AML1-positive ALL patients to those of 44 TEL/AML1-negative patients, whose blast cells did not contain any additional recurrent translocation. Microarray analyses of 26 samples allowed the identification of genes differentially expressed between the TEL/AML1-positive and negative ALL groups. Gene enrichment analysis defined five enriched GO categories: cell differentiation, cell proliferation, apoptosis, cell motility and response to wounding, associated with 14 genes –RUNX1, TCFL5, TNFRSF7, CBFA2T3, CD9, SCARB1, TP53INP1, ACVR1C, PIK3C3, EGFL7, SEMA6A, CTGF, LSP1, TFPI— highlighting the biology of the TEL/AML1 sub-group. These results were first confirmed by the analysis of an additional microarray data-set (7 patient samples) and second by real-time RT-PCR quantification and clustering using an independent set (27 patient samples). Over-expression of RUNX1 (AML1) was further investigated and in one third of the patients correlated with cytogenetic findings. Conclusions Gene expression analyses of leukemia cells from 60 children with TEL/AML1-positive and -negative B-lineage ALL led to the identification of five biological processes, associated with 14 validated genes characterizing and highlighting the biology of the TEL/AML1-positive ALL sub-group. Keywords: Acute lymphoblastic leukemia, gene expression profiles, TEL/AML1 fusion transcript, functional annotation
2007-09-27 | GSE9170 | GEO
Project description:The Hippo pathway, which is conserved from Drosophila to mammals, has been recognized as a tumor suppressor signaling pathway governing cell proliferation and apoptosis, two key events involved in organ size control and tumorigenesis. Although several upstream regulators, the conserved kinase cascade and key downstream effectors including nuclear transcriptional factors have been defined, the global organization of this signaling pathway is not been fully understood. Thus, we conducted a proteomic analysis of human Hippo pathway, which revealed the involvement of an extensive protein-protein interaction network in this pathway. Our data suggest that 550 interactions within 343 unique protein components constitute the central protein-protein interaction landscape of human Hippo pathway. Our study provides a glimpse into the global organization of Hippo pathway, reveals previously unknown interactions within this pathway, and uncovers new potential components involved in the regulation of this pathway. Understanding these interactions will help us further dissect the Hippo signaling-pathway and extend our knowledge of organ size control. Mass spectrometry data anaylsis: Excised gel bands were cut into approximately 1 mm3 pieces. Gel pieces were then subjected to in-gel trypsin digestion and dried. Samples were reconstituted in 5 ul of HPLC solvent A (2.5% acetonitrile, 0.1% formic acid). A nano-scale reverse-phase HPLC capillary column was created by packing 5 um C18 spherical silica beads into a fused silica capillary (100 um inner diameter x 20 cm length) with a flame-drawn tip. After equilibrating the column each sample was loaded via a Famos autosampler (LC Packings, San Francisco CA) onto the column. A gradient was formed and peptides were eluted with increasing concentrations of solvent B (97.5% acetonitrile, 0.1% formic acid). As peptides eluted they were subjected to electrospray ionization and then entered into an LTQ Velos ion-trap mass spectrometer (ThermoFisher, San Jose, CA). Peptides were detected, isolated, and fragmented to produce a tandem mass spectrum of specific fragment ions for each peptide. Peptide sequences (and hence protein identity) were determined by matching protein databases with the acquired fragmentation pattern by the software program, SEQUEST (ver. 28). (ThermoFisher, San Jose, CA). Enzyme specificity was set to partially tryptic with 2 missed cleavages. Modifications included carboxyamidomethyl (cysteines, fixed) and oxidation (methionine, variable). Mass tolerance was set to 2.0 for precursor ions and 1.0 for fragment ions. The database searched was the Human IPI databases version 3.6. Because we used HEK293 cells the Human IPI database was used. The number of entries in the database was 160,900 which included both the target (forward) and the decoy (reversed) human sequences. Spectral matches were filtered to contain less than 1% FDR at the peptide level based on the target-decoy method. Finally, only tryptic matches were reported and spectral matches were manually examined. When peptides matched to multiple proteins, the peptide was assigned so that only the most logical protein was included (Occam's razor). This same principle was used for isoforms when present in the database.
2013-10-17 | PXD000415 | Pride