Dataset Information

Human Uterine Smooth Muscle S-nitrosoproteome

ABSTRACT: S-nitrosoproteome of human unterine smooth muscle in different states of pregnancy (Labor, non labor, and preterm labor). Samples were isolated by the biotin switch and streptavidin pulldown before being analyzed by MS/MS on an Orbitrap instrument. Database Searching and bioinformatics: Tandem mass spectra were extracted; charge state deconvolution and deisotoping were not performed. All MS/MS samples were analyzed using Sequest (Thermo Fisher Scientific, San Jose, CA, version v.27, rev. 11). Sequest was initiated to search the database containing ipi.HUMAN.v3.87, the Global Proteome Machine cRAP v.2012.01.01, and random decoy sequences (183158 entries) assuming the digestion enzyme trypsin. Sequest was searched with a fragment ion mass tolerance of 1.00 Da and a parent ion tolerance of 10 ppm. Oxidation of methionine, iodoacetamide derivative of cysteine, and n-ethylmaleimide on cysteine were specified in Sequest as variable modifications. Criteria for Protein Identification-PROTEOIQ (V2.6, www.nusep.com) was used to validate MS/MS based peptide and protein identifications. Peptides were parsed before analysis with a minimum Xcorr value of 1.5 and a minimum length of 6 amino acids. There were no matches to the concatenated decoy database and therefore a false discovery value is not applicable or "0". Peptide identifications were accepted if they could be established at greater than 95.0% probability as specified by the Peptide Prophet algorithm. Protein identifications were accepted if they could be established at greater than 95.0% probability and contained at least two identified peptides with 5 spectra per peptide. Protein probabilities were assigned by the Protein Prophet algorithm. Proteins that contained similar peptides and could not be differentiated based on MS/MS analysis alone were grouped to satisfy the principles of parsimony.

INSTRUMENT(S): LTQ Orbitrap, instrument model

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Lung, Uterine Smooth Muscle Cell, Lung Cancer Cell Line

SUBMITTER: Craig Ulrich

PROVIDER: PXD000226 | Pride | 2014-03-02

REPOSITORIES: Pride

ACCESS DATA

Dataset's files

Source:

Items per page:

1 - 5 of 45

Publications

The human uterine smooth muscle S-nitrosoproteome fingerprint in pregnancy, labor, and preterm labor.

Ulrich Craig C Quilici David R DR Schlauch Karen A KA Buxton Iain L O IL

American journal of physiology. Cell physiology 20130815 8

Molecular mechanisms involved in uterine quiescence during gestation and those responsible for induction of labor at term are incompletely known. More than 10% of babies born worldwide are premature and 1,000,000 die annually. Preterm labor results in preterm delivery in 50% of cases in the United States explaining 75% of fetal morbidity and mortality. There is no Food and Drug Administration-approved treatment to prevent preterm delivery. Nitric oxide-mediated relaxation of human uterine smooth ...[more]

PMID: 23948706

Similar Datasets

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.

Project description:Cyanophora paradoxa muroplasts were isolated on a Percoll gradient. Muroplasts were fractionated into soluble (stroma), envelope, and thylakoid proteins. Protein samples from envelope membranes, thylakoids, stroma and total muroplasts were separated by 12% SDS-PAGE. Each Protein lanewas cut into 10 slices of variable size to match similar protein amounts. The gel slices were washed and diced to 1mm3 cubes. Gel pieces were destained by two consecutive washes with a 50:50 mixture of 200 mM ammonium bicarbonate and acetonitrile (ACN) for 20 min at 37°C. Proteins were reduced with 10mM DTT for 45 min at 56°C, followed by alkylation with 55mM iodoacetamide for 45 min at room temperature in the dark. After reduction and alkylation, gel pieces were washed twice with 100 mM ammonium bicarbonate, dehydrated with 100% ACN for 10 min, and dried in a SpeedVac. Gel pieces were fully covered in 50 mM ammonium bicarbonate containing 10ng/ml trypsin and rehydrated at 4°C. The samples were incubated overnight at 37°C and peptides in the supernatant were pooled after successive extraction steps using 50 mM ammonium bicarbonate, 100% ACN and 2.5% formic acid (FA), 50% ACN. The samples were dried in a SpeedVac and reconstituted in 5% ACN, 0.1% FA prior to MS analysis. Each of the samples were analysed in duplicates. Tryptic peptides of the thylakoid, envelope and stroma fractions were loaded onto a fritless 100 μm capillary packed in-house with 10cm of ProntoSIL C18 ace-EPS, 3µm. A gradient of 5-80% (v/v) ACN in 0.1% (v/v) FA was passed over the column with a duration of 115 min. The eluted peptides were directly electrosprayed into the LTQ orbitrap XL MS at a flow rate of 250 nl min-1 and a spray voltage of 1.3 kV. The instrument was operated in a 4-step data-dependent positive mode to identify the top three most abundant ions in a high-resolution MS scan (400 to 2000 m/z), which were then selected for fragmentation. MudPIT analyses were performed on the muroplast samples using an in-house packed analytical column consisting of 10 cm ProntoSIL C18 ace-EPS, 3µm (Bischoff) and 2 cm of a strong cationic exchange (SCX) material, 3µm in combination with an 6-step salt pulse gradient (0, 50, 100, 150, 200 and 500 mM ammonium acetate). Each salt-step peptides were eluted from the SCX to the C18-phase of the analytical column and eluated with a 130- min reverse-phase solvent gradient (5–80% ACN containing 0.1% FA). The eluate was directly electrosprayed into the LTQ orbitrap XL MS which was operated as described before. All MS/MS samples were analyzed using Sequest and X! Tandem. Sequest was set up to search the C. paradoxa nuclear and muroplast protein database with a total of 32,286 entries, assuming the digestion enzyme trypsin. X! Tandem was set up to search a subset of the C. paradoxa database also assuming trypsin. Sequest and X! Tandem were searched with a fragment ion mass tolerance of 0,80 Da and a parent ion tolerance of 10,0 ppm. Oxidation of methionine and iodoacetamide derivatives of cysteine were specified in Sequest and X! Tandem as variable modifications. Scaffold (version 3.5.1, Proteome Software Inc., Portland, OR) was used to validate MS/MS based peptide and protein identifications. Peptide identifications were accepted if they could be established at greater than 95,0% probability as specified by the Peptide Prophet algorithm. Protein identifications were accepted if they could be established at greater than 99,0% probability and contained at least 2 identified peptides.

Project description:Background: Although human gingival fibroblasts (hGF) and human periodontal ligament fibroblasts (hPDLF) exhibit numerous phenotypic similarities, it has been suggested that the secretory and behavioral differences, which exist between these cell types, are a result of the membrane protein composition of these cells. Methods: Four matched pairs of hGF and hPDLF were cultured. Prior to confluence, membrane bound and associated proteins from cells of the 4th passage were extracted. The processed protein samples were identified by digestion with trypsin and sequenced using capillary-liquid chromatography tandem mass spectrometry on an Thermo Scientific LTQ-Orbitrap XL mass spectrometer. Scaffold by Proteome Software was used to quantitate and validate protein identifications derived from MS/MS sequencing results. Results: Four hundred fifty proteins were common to both hGF and hPDLF. Of the proteins identified, 214 were known membrane bound or associated proteins and 165 proteins were known nuclear associated proteins. Twenty-seven proteins, identified from the 450 proteins, common to both hGF and hPDLF, were detected in statistically significant greater quantities in either hGF or hPDLF. More specifically, 13 proteins were detected in significantly greater quantities in hGF, while 14 proteins were detected in significantly greater quantities in hPDLF. Conclusions: Distinct differences in the cellular protein catalog may reflect the dynamic role and high energy requirements of hGF in extracellular matrix remodeling and response to inflammatory challenge as well as the role of hPDGF in monitoring mechanical stress and maintaining tissue homeostasis during regeneration and remineralization. Method Details: Sequence information from the MS/MS data was processed by converting the .raw files into a merged file (.mgf) using an in-house program, RAW2MZXML_n_MGF_batch (merge.pl, a Perl script). Isotope distributions for the precursor ions of the MS/MS spectra were deconvoluted to obtain the charge states and monoisotopic m/z values of the precursor ions during the data conversion. The resulting mgf files were searched using Mascot Daemon by Matrix Science version 2.3.2 (Boston, MA) and the database searched against the full SwissProt database version 2012_06 (536,489 sequences; 190,389,898 residues) or NCBI database version 20120515 (18,099,548 sequences; 6,208,559,787 residues The mass accuracy of the precursor ions were set to 20ppm, accidental pick of 13C peaks was also included into the search. The fragment mass tolerance was set to 0.5 Da. Considered variable modifications were oxidation (Met), deamidation (N and Q) and carbamidomethylation (Cys). Four missed cleavages for the enzyme were permitted. A decoy database was also searched to determine the false discovery rate (FDR) and peptides were filtered according to the FDR. The significance threshold was set at p less than 0.05 and bold red peptides is required for valid peptide identification. Proteins with a Mascot score of 50 or higher with a minimum of two unique peptides from one protein having a -b or -y ion sequence tag of five residues or better were accepted. Any modifications or low score peptide/protein identifications were manually checked for validation. Spectral Counting: Label Free Quantitation was performed using the spectral counting approach. Scaffold (version Scaffold_3.4.9, Proteome Software Inc., Portland, OR) was used to validate MS/MS based peptide and protein identifications. Peptide identifications were accepted if they could be established at greater than 95.0% probability as specified by the Peptide Prophet algorithm (Keller, A et al Anal. Chem. 2002;74(20):5383-92). Protein identifications were accepted if they could be established at greater than 95.0% probability and contained at least 1 identified peptides. Protein probabilities were assigned by the Protein Prophet algorithm (Nesvizhskii, AI Anal Chem. 2003 Sep 1;75(17):4646-58). Proteins that contained similar peptides and could not be differentiated based on MS/MS analysis alone were grouped to satisfy the principles of parsimony.

Project description:LCVs purified by immuno-magnetic separation and density gradient centrifugation (fraction 4) were resolved by 1D-SDS-PAGE, the gel lanes were excised in ten equidistant pieces and subjected to trypsin digestion. For the subsequent LC-MS/MS measurements, the digests were separated by reversed phase column chromatography using an EASYnLC apparatus with self-packed columns in a one-column setup. Following loading/ desalting in 0.1% acetic acid in water at a flow rate of 700 nL/min (maximum 220 bar), the peptides were separated by applying a binary non-linear gradient from 5-50% acetonitrile in 0.1% acetic acid over 70 min. The LC was coupled online to a LTQ-Velos Orbitrap mass spectrometer (Thermo Fisher, Bremen, Germany) at a spray voltage of 2.4 kV. After a survey scan in the Orbitrap (r = 30,000), MS/MS data were recorded for the twenty most intensive precursor ions in the linear ion trap. Singly charged ions were not taken into account for MS/MS analysis. The lock mass option was enabled throughout all analyses. After mass spectrometric measurement, MS data was converted into the mzxml format (version 3.1) by ReAdW version 4.3.1 and subsequently subjected to database searching via Sorcerer using Sequest (version 27, revision 11; SageN, Milptas, CA, USA) without charge state deconvolution and deisotoping performed. Database searching was performed either with a database of combined entries of L. pneumophila strain Philadelphia-1 (NC002942) and D. discoideum, or with a database of combined entries of L. pneumophila strain Philadelphia-1 and Mus musculus. Both databases were used as target/decoy databases with a list of common contaminants added (30739 and 64993 entries, respectively). Sequest was used assuming trypsinisation with a fragment ion mass tolerance of 1.00 Da and a search tolerance of 10 ppm for the overview scans. Oxidation of methionine was specified in Sequest as a variable modification. Scaffold (version 3.5.1, Proteome Software Inc., Portland, OR, USA) was used to filter and validate MS/MS-based peptide and protein identifications. Peptide identifications were accepted when spectra exceeded Xcorr values of 2.2, 3.3 and 3.8 for doubly, triply and quadruply peptides with deltaCN values of more than 0.1. Protein identifications are based on at least 2 unique peptides. Proteins that contained similar peptides and could not be differentiated based on MS/MS analysis alone were grouped to meet the principle of parsimony.

Project description:1D-LC-MS/MS analysis of OGE-prefractionated and TMT labeled mouse samples consiting of 2 unstimulated and 2 stimulated T-cell samples. The acquired raw-files were converted to the mascot generic file (mgf) format using the msconvert tool (part of ProteoWizard, version 3.0.4624 (2013-6-3)). Using the MASCOT algorithm (Matrix Science, Version 2.4.0), the mgf files were searched against a decoy database containing normal and reverse sequences of the predicted SwissProt entries of mus musculus (www.ebi.ac.uk, release date 16/05/2012) and commonly observed contaminants (in total 33,832 sequences) generated using the SequenceReverser tool from the MaxQuant software (Version 1.0.13.13). The precursor ion tolerance was set to 10 ppm and fragment ion tolerance was set to 0.01 Da. The search criteria were set as follows: full tryptic specificity was required (cleavage after lysine or arginine residues unless followed by proline), 2 missed cleavages were allowed, carbamidomethylation (C), TMT6plex (K and peptide n-terminus) were set as fixed modification and oxidation (M) as a variable modification. Next, the database search results were imported to the Scaffold Q+ software (version 4.1.1, Proteome Software Inc., Portland, OR) and the protein false identification rate was set to 1% based on the number of decoy hits. Specifically, peptide identifications were accepted if they could be established at greater than 94.0% probability to achieve an FDR less than 1.0% by the scaffold local FDR algorithm. Protein identifications were accepted if they could be established at greater than 6.0% probability to achieve an FDR less than 1.0% and contained at least 1 identified peptide. Protein probabilities were assigned by the Protein Prophet program (Nesvizhskii, et al, Anal. Chem. 2003; 75(17):4646-58). Proteins that contained similar peptides and could not be differentiated based on MS/MS analysis alone were grouped to satisfy the principles of parsimony. Proteins sharing significant peptide evidence were grouped into clusters. For quantification, acquired reporter ion intensities in the experiment were globally normalized across all acquisition runs. Individual quantitative samples were normalized within each acquisition run. Intensities for each peptide identification were normalized within the assigned protein. The reference channels were normalized to produce a 1:1 fold change. All normalization calculations were performed using medians to multiplicatively normalize data. A list of identified and quantified proteins is available in the xls file.

Project description:Mtb was grown as either an actively growing normal culture or as a hypoxia-induced dormant culture. Whole cell lysates of live bacteria were obtained by mechanical disruption with silica beads. ATP-binding proteins were covalently labeled with desthiobiotin-tagged ATP (ActivX, Thermo Pierce). This chemoproteomic approach profiled the ATP-binding proteins present in either metabolic state. Labeled proteins were enriched via streptavidin affinity chromatography, digested with trypsin and subjected to tandem mass spectrometry (LC-MS/MS) for the identification of proteins containing a desthiobiotin modification of lysine (K +196 Da). Differential abundance of nucleotide binding proteins between the two growth conditions were quantified using label-free spectral counting and normalized spectral abundance factors (NSAF). DATABASE SEARCHING: Tandem mass spectra were extracted, charge state deconvoluted and deisotoped by Xcalibur version 2.2 SP1. All MS/MS samples were analyzed using Mascot (Matrix Science, London, UK; version 2.3.02) and SEQUEST (Thermo Fisher Scientific, San Jose, CA, USA; version v.27, rev. 11). Mascot and SEQUEST were set up to search the MtbReverse041712 database (7992 entries) assuming the digestion enzyme Trypsin. Parameters for both search engines were set to a fragment ion mass tolerance of 1.0 Da and a parent ion tolerance of 2.5 Da. Oxidation of methionine, iodoacetamide derivative of cysteine and the desthiobiotin modification of lysine were specified in Mascot and SEQUEST as variable modifications. PROTEIN IDENTIFICATION AND LABEL-FREE QUANTITATION-- Scaffold (version Scaffold_3.6.1, Proteome Software Inc., Portland, OR) was used to validate MS/MS based peptide and protein identifications. Peptide identifications were accepted if they exceeded specific database search engine thresholds. Mascot identifications required ion scores to be greater than the associated identity scores and 50, 65, 65 and 65 for singly, doubly, triply and quadruply charged peptides. SEQUEST identifications required deltaCn scores of greater than 0.2 and XCorr scores of greater than 1.8, 2.0, 3.0 and 4.0 for singly, doubly, triply and quadruply charged peptides. Proteins identifications were accepted if they contained at least one identified peptide in at least two biological replicates. Peptide spectra meeting the most minimum requirement were manually inspected for quality. Quantification of proteins was performed on normalized spectral abundance factors for each protein (NSAF). BLAST-BASED SEQUENCE DESCRIPTION: The most relevant description for each of the sequences was acquired based on the significant BLAST results. The homologs for the sequences were retrieved using the Blastp algorithm and the nonredundant database of NCBI. The Blast2GO suite was used. GENE ONTOLOGY ANNOTATION: The Pfam domains were mapped to Gene Ontology (GO) terms using the lookup table provided by Pfam2go (http://www.geneontology.org/external2go/pfam2go). An in-house script was written to retrieve GO annotations based on the root term as "molecular function" and their distance from the root term. PFAM DOMAIN-BASED ANNOTATION: The InterPro and Pfam IDs corresponding to the GO term "ATP binding" (GO ID:0005524) were retrieved using the QuickGO (www.ebi.ac.uk/QuickGO/<http://www.ebi.ac.uk/QuickGO/>) and InterPro BioMart web services (http://www.ebi.ac.uk/interpro/biomart/martview). The ATP-binding associated domains were queried against the ATP-binding proteome data sets according to spectral quality (high, medium, low confidence). Their Pfam and InterPro descriptions, were identified using the InterProscan Web service, which was accessed via the Pipeline Pilot (Accelrys) implementation in the sequence analysis collection.

Project description:Gram-positive bacteria are known to export many proteins to the cell wall and growth medium and, accordingly, many studies have addressed the respective protein export mechanisms. In contrast, very little is known about the subsequent fate of these proteins. The present studies were therefore aimed at determining the fate of native exported proteins in the model organism Bacillus subtilis. Specifically, we employed a GeLC-MS approach to distinguish the roles of the membrane-associated quality control proteases HtrA and HtrB from those of eight other proteases that are present in the cell wall and/or growth medium of B. subtilis. Notably, HtrA and HtrB were previously shown to counteract potentially detrimental 'protein export stresses' upon overproduction of membrane- or secreted proteins. Our results show that many secreted proteins, lipoproteins and membrane proteins of B. subtilis are potential substrates of extracytoplasmic proteases. Moreover, potentially important roles of HtrA and HtrB in the folding of native secreted proteins into a protease-resistant conformation, the liberation of lipoproteins from the membrane-cell wall interface, and the degradation of membrane proteins are uncovered. Altogether, our observations show that HtrA and HtrB are crucial for maintaining the integrity of the B. subtilis cell even under non-stress conditions. Bionformatics pipeline and data processing: MS and MS/MS data were acquired with the LTQ-Orbitrap mass spectrometer. After a survey scan in the Orbitrap (r= 30,000), MS/MS data were recorded for the five most intensive precursor ions in the linear ion trap. Singly charged ions were not taken into account for MS/MS analysis. The lock mass option was enabled throughout the analysis. The mass spectrometric data was then subjected to database searching via Sorcerer-Sequest. Charge state deconvolution and deisotoping were not performed. All MS/MS samples were analyzed using Sequest (Thermo Fisher Scientific, San Jose, CA, USA; version v.27, rev. 11). Sequest was set up to search a B. subtilis _target-decoy protein sequence database that included the complete proteome set of _B. subtilis _extracted from UniprotKB release 12.7, and a set of common laboratory contaminants compiled with Bioworks Browser (Thermo Fisher Scientific), assuming the digestion enzyme trypsin. Sequest was searched with a fragment ion mass tolerance of 1.00 Da and a search tolerance of 10 ppm for the overview scans. Oxidation of methionine was specified in Sequest as a variable modification. Scaffold (version Scaffold_3_00_04, Proteome Software Inc.) was used to validate MS/MS based peptide and protein identifications. Peptide identifications were accepted if they exceeded Xcorr values of 2.2, 3.5, 3.75 for doubly, triply and quadruply charged ions. A protein was regarded as significantly identified when at least two peptides per protein were identified in at least three of four biological replicates. These criteria resulted in no false positive identifications.

			Action	DRS
	L1_50ul_NEM.zip	Other
	L2_50ul_NEM.zip	Other
	L3_50ul_NEM.zip	Other
	Laboring_1.RAW	Raw
	Laboring_2.RAW	Raw