Dataset Information

Mouse Cochlea Sensory Epithelium Proteome

ABSTRACT: The mouse cochlear sensory epithelium proteome has been characterized using FASP combined with GELFrEE and off-line SCX- and WAX-based methods follwed by nano LC-MS/MS. In addition, we utilzed single digestion and double digestion approaches using LysC and trypsin endoproteases. MS data files were processed with MaxQuant (Version 1.2.2.5, Max Planck Institute) and peak list files were searched by MASCOT search engine against the UniProt mouse database containing both forward and reversed protein sequences and common contaminants such as keratin. The initial parent and fragment ion maximum precursors were set to 6 ppm and 0.5 Da, respectively. The search included a fixed modification of carbamidomethyl of cysteine and variable modifications of oxidation of methionine and protein N-terminal acetylation. The minimum peptide length to be considered for identification was 6 amino acids.

INSTRUMENT(S): LTQ Orbitrap

ORGANISM(S): Mus Musculus (mouse)

SUBMITTER: Lancia Darville

PROVIDER: PXD000231 | Pride | 2013-06-28

REPOSITORIES: Pride

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Publications

In-depth proteomic analysis of mouse cochlear sensory epithelium by mass spectrometry.

Darville Lancia N F LN Sokolowski Bernd H A BH

Journal of proteome research 20130626 8

Proteomic analysis of sensory organs such as the cochlea is challenging due to its small size and difficulties with membrane protein isolation. Mass spectrometry in conjunction with separation methods can provide a more comprehensive proteome, because of the ability to enrich protein samples, detect hydrophobic proteins, and identify low abundant proteins by reducing the proteome dynamic range. GELFrEE as well as different separation and digestion techniques were combined with FASP and nanoLC-MS ...[more]

PMID: 23721421

Publication: 1/2

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Project description:Dear Sir or Madam, we report an in-depth proteogenomics study of Helicobacter pylori strain 26695 and provide the supporting MS data via ProteomExchange. The study includes 2 biological replicates with 6 different datasets: G1: in-gel digestion with trypsin, replicate 1 G2: in-gel digestion with trypsin, replicate 2 T1: SEC fractionation of low molecular weight (LMW) proteins and subsequent trypsin digestion, replicate 1 T2: SEC fractionation of LMW proteins and subsequent trypsin digestion, replicate 2 A1: SEC fractionation of LMW proteins and subsequent AspN digestion, replicate 1 A2: SEC fractionation of LMW proteins and subsequent AspN digestion, replicate 2 L1: SEC fractionation of LMW proteins and subsequent LysC digestion, replicate 1 L2: SEC fractionation of LMW proteins and subsequent LysC digestion, replicate 2 In our proteogenomics approach, we could identify four previously missing protein annotations and were able to correct sequences of six protein coding regions. Furthermore we identified signal peptidase cleavage sites for 72 different proteins. MGFs were generated by Maxquant 1.1 [1] using recalibration of peptide parent masses. For PRIDE (http://www.ebi.ac.uk/pride) submission, we made an additional database search with Mascot and X!Tandem using the SearchGUI [2]. Therefore we searched against a NCBI database of H. pylori strain 26695 complemented with the sequence corrections, signal peptide cleavage sites and missing annotations with the same configurations as described in materials and methods. For pride xml export we used the software PeptideShaker (http://code.google.com/p/peptide-shaker/). The complemented database has entries which will be submitted to the UniProtKB via SPIN. The entries have the according SPIN number as accession number. The NCBI accession numbers for the shortened sequences due to signal peptide cleavage are extended with “_1”. The fasta database is added to the submission. For additional information, please contact me: stephan.mueller@ufz.de Yours sincerely, Stephan Mueller References: [1] Cox J, Neuhauser N, Michalski A, Scheltema RA, Olsen JV, Mann M. Andromeda: a peptide search engine integrated into the MaxQuant environment. Journal of proteome research. 2011;10:1794-805. [2] Vaudel M, Barsnes H, Berven FS, Sickmann A, Martens L. SearchGUI: An open-source graphical user interface for simultaneous OMSSA and X!Tandem searches. Proteomics. 2011;11:996-9.

Project description:In this project, we aim to pair-wise analyze the genomes, transcriptomes and proteomes of in-bred rats originating from two different genetic backgrounds. These two strains are Brown Norway (BN-Lx) and Spontaneously Hypertensive Rats (SHR). First, we re-sequenced the genomes for both BN and SHR rats, followed by RNA-seq and proteomics of their liver tissues. We then append novel predicted gene models, non-synonymous SNPs and INDELs (derived from genome re-sequencing), as well as transcript variants such as RNA-editing and alternative splicing (derived from RNA-seq) that can diversify existing protein sequences onto the ENSEMBL rat FASTA (Build 68) to build an enhanced database. For proteomics studies, equal amount of liver lysates were digested with trypsin, LysC, GluC, AspN and chymotrypsin and were individually fractionated with strong cationic exchange chromatography. Doubly- and triply-charged fractions were analyzed with an Triple-TOF 5600 with collision-activated dissociation (CAD); while electron-transfer dissociation (ETD) was applied for fractions containing triple charges and above with a LTQ-Orbitrap Velos. Data analysis: Peak List generation: For Wiff files generated from TripleTOF 5600, tandem MS spectra were de-isotoped, charge- deconvoluted and peak lists converted to Mascot generic format (MGF) files using AB Sciex Data Converter (version 1.1). For data generated from the LTQ-Orbitrap Velos, Raw files were converted to MGF files using Proteome Discoverer (version 1.3). The non-fragment filter was used to simplify ETD spectra and the Top N filter for the HCD spectra. Three MGF files were generated (one for HCD, one for ETD IT and one for ETD FT). The files with an orbitrap readout were deisotoped and charge de-convoluted. Database Searching: All MGF files were queried with Mascot search engine (version 2.3) via Proteome Discoverer version 1.3 (PD 1.3, Thermo Fisher) for submission. The spectra were searched against in-house database (NGS_COMBINED). One of the five different enzymes used (Trypsin/P, LysC/P, Chymotrypsin, GluC-DE and AspN_ambic) were selected for each file and up to 9 missed cleavages were allowed. Cysteine carbamidomethylation was set as fixed modification, and oxidation of methionine and acetylation of the N-term as variable modifications. Peptide tolerance was initially set to 50 ppm and the MS/MS tolerance was set to 0.1 Da (for TOF readout), 0.02 Da (orbitrap readout) and 0.5 Da (ion trap readout). All peptide-spectrum matches (PSMs) were evaluated with Percolator for validation. We classified each PSM based on their q value. For proteins identification, we used set a high stringency filter of q = 0 (0% FDR). For peaks lists that do not yield any peptide matches, we exported them with PD 1.3 for further analysis. De novo search with PEAKS: Unassigned peak lists that are exported were re-analyzed with another software suite i.e. PEAKS Studio (version 6.0). The identification workflows is as follows. Peak lists were first filtered with a quality value of 0.65 as suggested by the manufacturer followed by de novo spectra interpretation. In this step, both peptide tolerance and MS/MS tolerance were set according to MASCOT search. To broaden the search space for these unassigned spectra, we additionally set de-amidation of asparagine and glutamine, and pyro-glu from glutamic acid and glutamine as variable modifications, on top of the other modifications indicated above. Maximum allowed variable PTM per peptide was set to 3. Finally de novo interpreted PSMs were submitted to PEAKS DB database matching, this time allowing semi-enzymatic specificity and a maximum cleavages per peptide of 2. Database used was set to NGS_COMBINED. FDR was estimated using decoy-fusion. The genomics and transcriptomics data are already deposited in the respective EBI repositories. Some of these data are derived from an already published manuscript. For the genomics data (from: Genetic basis of transcriptome differences between the founder strains of the rat HXB/BXH recombinant inbred panel by Simonis et al PMID:22541052) DNA data in Sequence Read Archive (SRA): BN-Lx genome: ERP001355 http://www.ebi.ac.uk/ena/data/view/ERP001355, SHR genome: ERP001371, BN reference genome: ERP000510, http://www.ebi.ac.uk/ena/data/view/ERP000510. RNA data in ArrayExpress: BN-Lx and SHR fragment RNA-seq data: E-MTAB-1029 http://www.ebi.ac.uk/arrayexpress/experiments/E-MTAB-1029, BN-Lx and SHR paired-end RNA-seq data: to be submitted.

Dataset Information

Mouse Cochlea Sensory Epithelium Proteome

Publications

In-depth proteomic analysis of mouse cochlear sensory epithelium by mass spectrometry.

Similar Datasets

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