Quantitative Proteomics of miR-148a in gastric cancer cells
Ontology highlight
ABSTRACT:
INSTRUMENT(S): Q-Tof Premier, MALDI Synapt G2 HDMS, Synapt G2 HDMS
ORGANISM(S): Homo Sapiens (human)
TISSUE(S): Stomach, Epithelial Cell, Cell Culture
SUBMITTER: 
Chia-Wei Hu
LAB HEAD: Chia-Wei Hu
PROVIDER: PXD000190 | Pride | 2013-07-24
REPOSITORIES: Pride
Dataset's files
Items per page: 5 1 - 5 of 128 |
Publications
Quantitative proteomics reveals diverse roles of miR-148a from gastric cancer progression to neurological development.
Hu Chia-Wei CW Tseng Chien-Wei CW Chien Chih-Wei CW Huang Hsuan-Cheng HC Ku Wei-Chi WC Lee Shyh-Jye SJ Chen Yu-Ju YJ Juan Hsueh-Fen HF
Journal of proteome research 20130805 9
MicroRNAs (miRNAs) are noncoding RNAs that control gene expression either by degradation of mRNAs or inhibition of protein translation. miR-148a has been reported to have the impacts on tumor progression. Here, a quantitative proteomics combined with stable isotope labeling was applied to identify the global profile of miR-148a-regulated downstream proteins. The data have been deposited to the ProteomeXchange with identifier PXD000190. A total of 2938 proteins were quantified, and 55 proteins we ...[more]
Similar Datasets
Project description:For protein identification, the following parameters were used. Peptide mass tolerance = 20 ppm, Missed cleavage = 2, MS/MS tolerance = 0.1 Da, Enzyme = Trypsin, Fixed modification: Carbamidomethyl (C), iTRAQ8plex(K), iTRAQ8plex(N-term), Variable modification：Oxidation(M)，Decoy database pattern=Reverse. The MASCOT search results for each SCX elution were further processed using the ProteomicsTools (version 3.1.6) which includes the programs BuildSummary, Isobaric Labeling Multiple File Distiller and Identified Protein iTRAQ Statistic Builder (Information can be accessed from Research Center for Proteome Analysis (http://www.proteomics.ac.cn/).
2020-01-27 | PXD000527 | Pride
Project description:To identify and quantify protein profiles from peripheral blood mononuclear cells (PBMC) of osteopetrosis patients with isobaric Tagging for Relative and Absolute protein Quantification (iTRAQ) based proteomic technology and to find differentially expressed proteins in osteopetrosis. Total protein was extracted from PBMC samples of 6 osteopetrosis patients and 9 health donors. For the osteopetrosis group and the control group, aliquots of protein from each subject were pooled respectively. One hundred micrograms of protein from each corresponding group pool protein was digested with trypsin, and labeled according to the iTRAQ protocol. The labeled digests were then combined into one sample mixture and subjected to LC-MS/MS analysis. Identification and relative quantification of proteins based on the ratio of peak areas from MS/MS spectra, and the m/z of 114 (osteopetrosis) and 115 (control) were involved in this research. The MS data were processed using Proteome Discoverer Software (Version 1.2.0.208) to generate the peak list. Mascot 2.3.02 was used for the protein identification, and the parameters as follows: Type of search: MS/MS Ion search; Enzyme: Trypsin; Fragment mass tolerance: ±0.1 Da; Mass values: Monoisotopic; Variable modifications: Gln->pyro-Glu (N-term Q), Oxidation (M), iTRAQ8plex(Y); Peptide mass tolerance: 0.05 Da; Instrument type: Defult; Max missed cleavages: 1; Fixed modifications: arbamidomethyl (C), iTRAQ8plex (N-term), iTRAQ8plex (K); Protein Mass: Unrestricted; Other parameters: default; Database, IPI_human v3.87 (91464 sequences). The search results were further filtered with the parameters as follows: for protein identification, significance threshold: P<0.05 (with 95% confidence), ion score or expected cutoff < 0.05 (with 95% confidence); for protein quantitation, protein ratio type: weighted; minimum precursor charge: 1; minimum peptides: 2 (unique peptides); median intensities: normalization (removed outliers automatically). Proteins with 1.5 fold or more change between osteopetrosis group and the control group were determined as differentially expressed proteins.
2013-10-11 | PXD000346 | Pride
Project description:TiO2 enriched phosphopeptides of Iloprost stimulated platelets were digested with trypsin and labeled with iTRAQ. Samples were analysed by nano LC-MS/MS on an LTQ OrbitrapVelos (Thermo Scientific) coupled to an Ultimate 3000 Liquid Chromatography system (Dionex). Peptides were concentrated on a self-packed 100 µm ID reversed-phase (RP) trapping column (Kinetex C18, 2 cm length, 2.6 µm particle size, 100 Å pore width; Phenomenex) in 0.1% TFA followed by separation on a self-packed 75 μm ID RP column (Kinetex C18, 30 cm length, 2.6 µm particle size, 100 Å pore width; Phenomenex) using a binary gradient (solvent A: 0.1% FA and solvent B: 0.1% FA, 84% ACN) ranging from 3-45 % solvent B in 245 min at a flow rate of 230 nl/min. To minimize memory and carry-over effects from previous samples, an LC-wash program with high organic content was used prior to sample injection (Burkhart et al 2011). Survey scans were acquired in the Orbitrap with a resolution of 30,000 using the polysiloxane m/z 371.101236 as lock mass5 and MS/MS scans of the five most intense signals were acquired in the Orbitrap using HCD fragmentation (activation 0.1 ms, normalized collision energy of 50, isolation width of 1.5 m/z) with a resolution of 7,500. To compensate for elevated peptide charge states due to iTRAQ labels, a reaction tube containing 5 % ammonium water was placed in front of the ion source as described by Thingholm et. al. Database search and data processing: Raw data were processed with Proteome Discoverer 1.3 (Thermo Scientific) using Mascot (2.4) and Sequest for database search against the human Uniprot database (November, 4th 2010; 20,260 sequences) using the following search settings for both algorithms: i) trypsin with a maximum of two missed cleavages, (ii) carbamidomethylation of Cys (+57.0214 Da), peptide N-terminus iTRAQ, Lys iTRAQ (+144.102 Da) as fixed modifications and (iii) oxidation of Met (+15.9949 Da), Tyr iTRAQ (+144.102 Da) as well as phosphorylation of Ser/Thr/Tyr (+79.9663 Da) as variable modifications; (iv) MS and MS/MS tolerances of 10 ppm and 0.02 Da, respectively. A false discovery rate (FDR) of <1% was applied using the Peptide Validator node. Additionally, phosphorylation site localizations were validated by the phosphoRS node. Only phosphopeptide hits with <1% FDR of all validated peptides were considered for data interpretation and site assignment probabilities of >90 % (phosphoRS) were defined as confident. Data interpretation: To compensate for systematic variations or technical errors for each sample set, reporter areas were normalized based on modellized normal distribution with a +- 34% quantil. Therefore median iTRAQ ratios were calculated considering all unique <1% FDR peptides and normalization factors against the control sample were determined. For each peptide, all MS/MS spectra of one biological replicate were grouped in regard to modified site in protein and phosphoRS site localization (peptide groups) to determine the respective median ratios. Finally, for each peptide group, median values were calculated considering all three biological replicates. Peptides with ratios below 0.5 or above 2.0 were considered as regulated. Regulated phosphopeptides were searched against GPS 2.1 for kinase consensus site prediction. Values of high confidence (<2 % error) for PKA were taken into account.
2013-12-02 | PXD000242 | Pride
Project description:Serum from Chikungunya patients was pooled and subjected to depletion using multiple affinity removal system to remove the abundant proteins. The depleted protein was then fractionated using SCX. All the fractions were analyzed on the high-resolution LTQ-Orbitrap Velos mass spectrometer. The data obtained was searched against the human RefSeq 52 proteins using Proteome Discoverer, version 1.3.0.339 workflow. The workflow consisted of spectrum selector and reporter ion quantification nodes in addition to SEQUEST and Mascot search nodes. Similar parameters were used in all the searches with trypsin as enzyme allowing a single missed cleavage. Other parameters include methylthiol modification of cysteine, iTRAQ labels at the peptide N-terminus and Lysine residues as static modifications and oxidation of methionine as variable modification. A mass tolerance of 20 ppm and 0.1 Da were used for the precursor ion and fragment ions, respectively with a signal to noise ratio of 1.5 for a precursor mass range of 350–10000 Da. A false discovery rate (FDR) of 1% was applied to the results.
2013-12-12 | PXD000234 | Pride
Project description:20110318_GluC: Cell culture supernatants from Balb/c 3T3 mouse fibroblasts that had been incubated with the endoproteinase GluC (Staphylococcus aureus protease V8) as test protease for 1, 2, 4, 8, and 16 hours or buffer alone (0, 12, and 16 hours controls) were subjected to 8plex-iTRAQ-TAILS analysis. Labeling scheme: 113: 0h control, 114: 1h, 115: 2h, 116: 4h, 117: 8h, 118: 12h control, 119: 16h, 121: 16h control. 20130214_MMP10: Cell culture supernatants from matrix metalloproteinase (MMP) 10 deficient murine embryonic fibroblasts that had been incubated with recombinant human MMP10 as test protease for 1, 2, 4, 8, and 16 hours or buffer alone (0 and 16 hours controls) were subjected to 8plex-iTRAQ-TAILS analysis. Labeling scheme: 113: 0h control, 114: 1h, 115: 2h, 116: 4h, 117: 8h, 118: 12h, 119: 16h, 121: 16h control.MS data analysis: Mascot Distiller (Matrix Science) was used to extract peak lists from raw files and for merging of corresponding CID/HCD spectra pairs. Peak lists (mgf) were searched by Mascot v2.3 search engine against a mouse UniProtKB database (release 2012_03; 54232 entries), to which reversed decoy sequences as well as sequences for common contaminants and either for GluC or for human MMP10, respectively, had been added and with following parameters: semi-Arg-C for enzyme specificity allowing up to 2 missed cleavages; carbamidomethyl(C), iTRAQ(K) as fixed modifications; acetyl (N-term), iTRAQ(N-term), oxidation(M), and deamidation(NQ) as variable modifications; parent mass error at 10 ppm, fragment mass error at 0.8 Da. For GluC experiments an additional search was performed using the same parameters but with semi-GluC as enzyme and allowing up to 5 missed cleavages. The Trans-Proteomic Pipeline (TPP v4.6, rev 1, Build 201212051643)46 was used to secondary validate Mascot search results and to compile a single peptide list from all peptide fractions obtained from both the pre-pullout and the pullout samples. First, data were processed by PeptideProphet setting the ‘minimum peptide length’ to 1, using ‘accurate mass binning’ and omitting the ‘NTT model’. Next, iProphet was employed for additional validation and for combining PeptideProphet results from multiple searches, and only peptides with an iProphet probability of >=0.9 (corresponding to false discovery rate (decoy) of <1%) were included in subsequent analyses. For relative quantification iTRAQ reporter ion intensities were extracted from mgf files using a modified version of i-Tracker47 with a mass tolerance of 0.1 Da and purity corrections supplied by the iTRAQ manufacturer and assigned to filtered peptides.
2013-12-13 | PXD000503 | Pride
Project description:In Bacillus thuringiensis CT-43, five insecticidal crystal proteins (ICPs, Cry protein) are encoded. We extracted the Cry proteins, ran the SDS PAGE (two Cry protein bands were observed), and tried to identify the composition of the two Cry protein bands in the SDS PAGE. The bioinformatics pipeline is described as follows: First, we converted the original mass spectrum files to the mgf file (peaks file), then the mgf files were searched against the Bacillusthuringiensis CT-43 protein database using Mascot (version 2.3.02). The search parameters were: i) trypsin was chosen as the enzyme with one missed cleavage allowed; ii) the fixed modifications of carbamidomethylation were set as Cys, and variable modifications of oxidation as Met; iii) peptide tolerance was set as 0.05 Da, and MS/MS tolerance was set as 0.1 Da. The peptide charge was set as Mr, and monoisotopic mass was chosen. An automatic decoy database search strategy was employed to estimate the false discovery rate (FDR). The FDR was calculated as the false positive matches divided by the total matches. In the final search results, the FDR was less than 1.5%.
2020-01-24 | PXD000425 | Pride
Project description:Bacteria were washed three times in NaCl (150 mM). Cells were resuspended in 1 ml TSU buffer (50 mM Tris pH 8.0, 0.1% SDS, 2.5 M urea) and lysed by two freeze-thaw cycles in liquid nitrogen. Lysate proteins (40 ug) were separated and digested. Digested peptides were separated by nano-LC using an Ultimate 3000 HPLC and autosampler system (Dionex; Amsterdam, Netherlands). Samples (1 ul) were concentrated and desalted onto a micro C18 pre-column (500 um×2 mm, Michrom Bioresources; Auburn, CA, USA) with H2O:CH3CN (98:2, 0.05% trifluoroacetic acid) at 15 ul min−1. After a 4 min wash the pre-column was switched (Valco 10 port valve; Dionex) into line with a fritless nano column (75 u×~10 cm) containing C18 media (5 u, 200 A Magic; Michrom) manufactured according to Gatlin. Peptides were eluted using a linear gradient of H2O:CH3CN (98:2, 0.1% formic acid) to H2O:CH3CN (64:36, 0.1% formic acid) at 250 nl min−1 over 30 min. High voltage (2000 V) was applied to low volume tee (Upchurch Scientific) and the column tip positioned ~0.5 cm from the heated capillary (T = 280 degrees C) of an Orbitrap Velos (Thermo Electron; Bremen, Germany) mass spectrometer. Positive ions were generated by electrospray and the Orbitrap operated in data dependent acquisition mode (DDA). A survey scan m/z 350–1750 was acquired in the Orbitrap (Resolution = 30,000 at m/z 400, with an accumulation target value of 1,000,000 ions) with lockmass enabled. Up to the 10 most abundant ions (>5,000 counts) with charge states >+2 were sequentially isolated and fragmented within the linear ion trap using collisionally induced dissociation with an activation q = 0.25 and activation time of 30 ms at a target value of 30,000 ions. M/z ratios selected for MS/MS were dynamically excluded for 30 s. Peak lists were generated using Mascot Daemon/extract_msn (Matrix Science, Thermo; London, England) using the default parameters, and submitted to the database search program Mascot (version 2.1, Matrix Science). Search parameters were: Precursor tolerance 4 ppm and product ion tolerances +/-0.4 Da; Oxidation (M) and Carbamidomethyl (C) specified as variable modifications, Enzyme specificity was trypsin, 1 missed cleavage was possible
2014-04-28 | PXD000504 | Pride
Project description:Washed three times in NaCl (150 mM). Cells were resuspended in 1 ml TSU buffer (50 mM Tris pH 8.0, 0.1% SDS, 2.5 M urea) and lysed by two freeze-thaw cycles in liquid nitrogen. Lysate proteins (40 ug) were separated and digested. Digested peptides were separated by nano-LC using an Ultimate 3000 HPLC and autosampler system (Dionex; Amsterdam, Netherlands). Samples (1 ul) were concentrated and desalted onto a micro C18 pre-column (500 um×2 mm, Michrom Bioresources; Auburn, CA, USA) with H2O:CH3CN (98:2, 0.05% trifluoroacetic acid) at 15 ul min−1. After a 4 min wash the pre-column was switched (Valco 10 port valve; Dionex) into line with a fritless nano column (75 u×~10 cm) containing C18 media (5 u, 200 A Magic; Michrom) manufactured according to Gatlin. Peptides were eluted using a linear gradient of H2O:CH3CN (98:2, 0.1% formic acid) to H2O:CH3CN (64:36, 0.1% formic acid) at 250 nl min−1 over 30 min. High voltage (2000 V) was applied to low volume tee (Upchurch Scientific) and the column tip positioned ~0.5 cm from the heated capillary (T = 280 degrees C) of an Orbitrap Velos (Thermo Electron; Bremen, Germany) mass spectrometer. Positive ions were generated by electrospray and the Orbitrap operated in data dependent acquisition mode (DDA). A survey scan m/z 350–1750 was acquired in the Orbitrap (Resolution = 30,000 at m/z 400, with an accumulation target value of 1,000,000 ions) with lockmass enabled. Up to the 10 most abundant ions (>5,000 counts) with charge states >+2 were sequentially isolated and fragmented within the linear ion trap using collisionally induced dissociation with an activation q = 0.25 and activation time of 30 ms at a target value of 30,000 ions. M/z ratios selected for MS/MS were dynamically excluded for 30 s. Peak lists were generated using Mascot Daemon/extract_msn (Matrix Science, Thermo; London, England) using the default parameters, and submitted to the database search program Mascot (version 2.1, Matrix Science). Search parameters were: Precursor tolerance 4 ppm and product ion tolerances +/-0.4 Da Oxidation (M) and Carbamidomethyl (C) specified as variable modifications Enzyme specificity was trypsin, 1 missed cleavage was possible
2014-04-28 | PXD000505 | Pride
Project description:To better examine the molecular mechanisms behind the virus infection, we conducted a correlation analysis of RNA-Seq and quantitative iTRAQ-LC-MS/MS in TuMV-infected and in healthy Chinese cabbage leaves.
2020-08-07 | GSE151932 | GEO
Project description:The purpose of this study was to generate a basis for the decision of what protein quantities are reliable and find a way for accurate and precise protein quantification. To investigate this we have used thousands of peptide measurements to estimate variance and bias for quantification by iTRAQ (isobaric tags for relative and absolute quantification) mass spectrometry in complex human samples. A549 cell lysate was mixed in the proportions 2:2:1:1:2:2:1:1, fractionated by high resolution isoelectric focusing and liquid chromatography and analyzed by three mass spectrometry platforms; LTQ Orbitrap Velos, 4800 MALDI-TOF/TOF and 6530 Q-TOF. We have investigated how variance and bias in the iTRAQ reporter ions data are affected by common experimental variables such as sample amount, sample fractionation, fragmentation energy, and instrument platform. Based on this, we have suggested a concept for experimental design and a methodology for protein quantification. By using duplicate samples in each run, each experiment is validated based on its internal experimental variation. The duplicates are used for calculating peptide weights, unique to the experiment, which is used in the protein quantification. By weighting the peptides depending on reporter ion intensity, we can decrease the relative error in quantification at the protein level and assign a total weight to each protein that reflects the protein quantitation confidence. We also demonstrate the usability of this methodology in a cancer cell line experiment as well as in a clinical data set of lung cancer tissue samples. In conclusion, we have in this study developed a methodology for improved protein quantification in shotgun proteomics and introduced a way to assess quantification for proteins with few peptides. The experimental design and developed algorithms decreased the relative protein quantification error in the analysis of complex biological samples. Data analysis: LTQ Orbitrap Velos Proteome discoverer 1.1 with Mascot 2.2 (Matrix Science) was used for protein identification. Precursor mass tolerance was set to 10 ppm and for fragments 0.8 Da and 0.015 Da were used for detection in the linear iontrap and the orbitrap, respectively. Oxidized methionine was set as dynamic modification and carbamidomethylation, N-terminal 8plex iTRAQ, and lysyl 8plex iTRAQ as fixed modifications. 4800 MALDI TOF/TOF Peptide identification from the Maldi-TOF/TOF data was carried out using the Paragon algorithm in the ProteinPilot 2.0 software package (Applied Biosystems). Default settings for a 4800 instrument were used (i.e. no manual settings for mass tolerance was given). The following parameters were selected in the analysis method: iTRAQ 8plex peptide labeled as sample type, IAA as alkylating agent of cysteine, trypsin as digesting enzyme, 4800 as instrument, gel based ID and Urea denaturation as special factors, biological modifications as ID focus, and thorough ID as search effort. 6530 QTOF Peptide identification from the QTOF data was carried out using the Spectrum Mill Protein Identification software (Agilent). Data was extracted between MH+ 600 and 4000 Da (Agilent’s definition). Trypsin was used as digesting enzyme, and parent and daughter ion tolerance was set to 25 and 50 ppm, respectively. IAA for cysteine and iTRAQ partial-mix (N-term, K) were set as fixed modifications while oxidized methionine was set as variable modification. Database and peptide cut-off for all searches Searches were performed against the IPI database (build 3.64) limited to human sequences allowing 2 missed cleavages. False discovery rate (FDR) was estimated by searching the data against a database consisting of both forward and reversed sequences and set to < 1 % at the protein level using MAYU. Peptides corresponding to a <1% protein FDR rate was used in the calculations. Peptide and protein identification using Mascot for comparison between instruments Peptide identifications were performed using Mascot Daemon 2.3.2 with Mascot 2.4 for fractions 32 to 36 from IPG-IEF with 400 ug loaded peptides. Carbamidomethylation (CAM) for cysteine was set as fixed modification, oxidized methionine as variable modification and iTRAQ 8plex was set as quantification for all searches. MALDI-TOF/TOF search settings: Parent and daughter ion tolerance was set to 150 ppm and 0.2 Da, respectively. LTQ Orbitrap search settings: Precursor mass tolerance was set to 10 ppm and for fragments 0.8 Da and 0.015 Da were used for data generated in the linear ion trap and the orbitrap, respectively. QTOF search settings: Parent and daughter ion tolerance was set to 25 and 50 ppm, respectively.
2013-08-16 | PXD000418 | Pride