Dataset Information

TMT spikes - Using R and Bioconductor for proteomics data analysis

ABSTRACT: Expected reporter ion ratios: Erwinia peptides: 1:1:1:1:1:1 Enolase spike (sp|P00924|ENO1_YEAST): 10:5:2.5:1:2.5:10 BSA spike (sp|P02769|ALBU_BOVIN): 1:2.5:5:10:5:1 PhosB spike (sp|P00489|PYGM_RABIT): 2:2:2:2:1:1 Cytochrome C spike (sp|P62894|CYC_BOVIN): 1:1:1:1:1:2

INSTRUMENT(S): LTQ Orbitrap Velos

ORGANISM(S): Erwinia Carotovora

SUBMITTER: Laurent Gatto

LAB HEAD: Laurent Gatto

PROVIDER: PXD000001 | Pride | 2012-03-07

REPOSITORIES: Pride

ACCESS DATA

Dataset's files

Source:

			Action	DRS
	F063721.dat	Other
	F063721.dat-mztab.txt	Txt
	PRIDE_Exp_Complete_Ac_22134.pride.mgf.gz	Mgf
	PRIDE_Exp_Complete_Ac_22134.pride.mztab.gz	Mztab
	PRIDE_Exp_Complete_Ac_22134.xml.gz	Xml

Items per page:

1 - 5 of 8

Publications

Using R and Bioconductor for proteomics data analysis.

Gatto Laurent L Christoforou Andy A

Biochimica et biophysica acta 20130518 1 Pt A

This review presents how R, the popular statistical environment and programming language, can be used in the frame of proteomics data analysis. A short introduction to R is given, with special emphasis on some of the features that make R and its add-on packages premium software for sound and reproducible data analysis. The reader is also advised on how to find relevant R software for proteomics. Several use cases are then presented, illustrating data input/output, quality control, quantitative p ...[more]

PMID: 23692960

Similar Datasets

Project description:We applied a non targeted mass spectrometric assay (LCMSE), to quantify 55 abundant plasma proteins in specimens from 31 healthy volunteers. Quantitation was done by HI3 peptide measurement using a single internal standard to estimate protein concentrations. Results for 7 apolipoproteins were compared with those obtained using isotope labelled standards, while 12 proteins were compared to routine immunoassays. Blood samples were obtained from 31 healthy volunteers (17 males; 14 females) with a median age of 46 years and a range of 22-67 years. Total plasma protein concentration was assayed with a BCA-assay (20) according to the manufacturer’s protocol (Thermo). Samples were diluted tenfold in 0.1% Rapigest SF (Waters Corporation, Milford, MA), 50 mM ammonium bicarbonate and heated at 95° C for 15 min. Subsequently, plasma samples were reduced with 5 mM dithiothreitol (60° C, 30 min) and alkylated with 15 mM iodoacetamide (ambient temperature, dark, 30 min). Proteolytic digestion was performed with modified trypsin (gold grade, Promega, Madison WI) at 0.3 units/µg protein, (37° C, 20 hours) unless indicated otherwise. Following digestion, Rapigest SF was broken down by adding 1% trifluoroacetic acid (pH<2, 37 °C, 45 min). Peptide solutions were centrifuged (20,000 x g, 10 min) and supernatant was collected. Prior to analyses a MASSPREP protein digestion standard (Waters Corporation, ADH1 or ENO from Saccharomyces cerevisiae) was added for quantitation purposes. LC-MS analyses were performed using ~ 0.21 µg of the final plasma protein digest mixtures (384 times total dilution) unless indicated otherwise. LC separations of tryptic peptides were performed with a NanoAcquity system (Waters Corporation), coupled to a Synapt G2 quadrupole time of flight mass spectrometer (Waters Corporation, Manchester, UK). Accurate mass precursor and fragment ion LC-MS data were collected in data independent LCMSE mode of acquisition. Continuum LC-MS data were processed using ProteinLynx GlobalSERVER version 2.5 (PLGS 2.5, Waters Corporation). Parameter settings: digest reagent trypsin, allow 1 ‘missed cleavage’, search tolerances automatic, typically 5 ppm for precursor and 15 ppm for product ions, fixed modification cysteine carbamidomethylation, and variable modification methionine oxidation. Protein identifications were obtained searching the human SwissProt entries of an UniProt database (release 13.2). This database was modified to include N-terminal processing of proteins using protein maturation device software, with ADH1 and ENO1 of S. cerevisiae appended as internal standard to address technical variation and allow concentration determinations. Estimation of false-positive identification rates was done by searching a randomized version of the abovementioned human protein database generated within PLGS 2.5. Data were exported as csv-files for further, detailed analysis. Stringent criteria were applied for quantitation, protein identifications were only considered significant if reported in 14 or more samples. Protein false positive identification rates were estimated using the criteria mentioned above and no false positives were identified in these searches. DATASET: KC1-31: 31 healthy volunteers QC1-10: 10 times injection of a single sample to ascertain analytical variation over 9 days of measurements. 20120802_QC1-QC6: 6 pooled plasma samples worked up and analysed during a single day of measurements to ascertain Intra-assay variation. 20120427_S2,S4;20120525_S18,S19;20120626_S3,S4;20120802_QC7: 7 pooled plasma samples processed and analysed during 3 months of routine measurements to analyse Inter-assay variation 20130416_s1-s5: pooled plasma samples spiked with a QCONCATAMER for 11 apolipoproteins labelled by heavy Lysine and Arginine (+6.02 AMU) to quantify apolipoproteins by internal isotope labelled standard.

Project description:Production, usage and disposal of the munitions constituent (MC) cyclotrimethylenetrinitramine (RDX) has led to environmental releases on military facilities. The chemical attributes of RDX are conducive for leaching to surface water which may put aquatic organisms at risk of exposure. Because RDX has been observed to cause aberrant neuromuscular effects across a wide range of animal phyla, we assessed the effects of RDX on central nervous system (CNS) function in the representative aquatic ecotoxicological model species, fathead minnow (Pimephales promelas). A brain-tissue based cDNA library enriched for transcripts differentially expressed in response to RDX exposure was developed for fathead minnow and was transitioned to custom cDNA-based microarrays. All 4,128 cDNAs were sequenced, quality filtered and assembled yielding 3,018 unique sequences and 945 significant blastx matches (E ≤ 10-5). Bioassays were conducted exposing fathead minnows to RDX at 0.625, 1.25, 2.5, 5, 10 mg/L or an acetone-spike control for 10d. Overt toxicity of RDX in fathead minnow occurred only at the highest exposure concentration resulting in 50% mortality. Conversely, Bayesian analysis of microarray data indicated significant changes in transcript expression in fathead minnow brain tissue at RDX concentrations as low as 0.625 mg/L. In total, 154 microarray targets representing 44 unique transcript identities were differentially expressed in RDX exposures, the majority of which were validated by RT-qPCR. Investigation of molecular pathways, gene ontology and individual gene functions indicated that RDX exposures affected metabolic processes involved in: oxygen transport, neurological function, calcium binding / signaling, energy metabolism, cell cycle / cell proliferation, oxidative stress and ubiquitination. In total, our study indicated that RDX exposure affected molecular processes critical to CNS function in fathead minnow. 10 Day RDX Exposure, Brain Tissue Investigation: Sub-adult fathead minnows were exposed to RDX in a 10d dose-series experiment (0.625, 1.25, 2.5, 5.0, or 10 mg/L RDX) which included an acetone-spike control (1% acetone). Each experimental treatment included 8 replicate fish (48 total fish) and endpoints included mortality, total weight and neurotoxicogenomics. The 1.25mg/L dose was not included in the microarray experiment. Please see attached PDF file for detailed 'Balanced, Interwoven Loop Design'.