The largest database of trusted experimental protocols

Proteome discoverer version 1

Manufactured by Thermo Fisher Scientific
Sourced in United States, United Kingdom, Germany

Proteome Discoverer version 1.4 is a software application developed by Thermo Fisher Scientific for the analysis and identification of proteins in mass spectrometry data. The software provides a comprehensive platform for the processing, analysis, and interpretation of proteomics data.

Automatically generated - may contain errors

30 protocols using proteome discoverer version 1

1

Protein Identification by Mass Spectrometry

Check if the same lab product or an alternative is used in the 5 most similar protocols
The immunoprecipitated proteins were run on 4–12% NuPAGE (Thermo Fisher) by 1 cm from the well and stained with SimplyBlue (Thermo Fisher) for in-gel digestion. The gel containing proteins was excised, cut into approximately 1mm sized pieces. Proteins in the gel pieces were reduced with DTT (Thermo Fisher), alkylated with iodoacetamide (Thermo Fisher), and digested with trypsin and Lysyl endopeptidase (Promega) in a buffer containing 40 mM ammonium bicarbonate, pH 8.0, overnight at 37°C. The resultant peptides were analyzed on an Advance UHPLC system (ABRME1ichrom Bioscience) connected to a Q Exactive mass spectrometer (Thermo Fisher) processing the raw mass spectrum using Xcalibur (Thermo Fisher Scientific). The raw LC-MS/MS data was analyzed against the NCBI non-redundant protein/translated nucleotide database restricted to Mus musculus using Proteome Discoverer version 1.4 (Thermo Fisher) with the Mascot search engine version 2.5 (Matrix Science). A decoy database comprised of either randomized or reversed sequences in the target database was used for false discovery rate (FDR) estimation, and Percolator algorithm was used to evaluate false positives. Search results were filtered against 1% global FDR for high confidence level. All full lists of LC-MS/MS data are shown in Supplementary Data S1 (Excel file).
+ Open protocol
+ Expand
2

Drosophila Protein Identification by MS

Check if the same lab product or an alternative is used in the 5 most similar protocols
The silver-stained protein bands were excised from the NuPAGE gels (Thermo Fisher Scientific), were cut into small pieces (approximately 1 mm3), and were destained. Proteins of the gel pieces were reduced with DTT (Thermo Fisher Scientific), were alkylated with iodoacetamide (Thermo Fisher), and were digested with trypsin and lysyl endopeptidase (Promega, Madison, Wisconsin, USA). The resultant peptides were analyzed on an Advance UHPLC system (Michrom Bioresources, Auburn, California, USA) coupled to a Q Exactive mass spectrometer (Thermo Fisher Scientific) with the raw data processed using Xcalibur (Thermo Fisher Scientific). The raw data were analyzed against the SwissProt database or NCBI nonredundant protein database restricted to Drosophila melanogaster using Proteome Discoverer version 1.4 (Thermo Fisher Scientific) with the Mascot search engine version 2.4 (Matrix Science, London, UK). A decoy database comprised of either randomized or reversed sequences in the target database was used for false discovery rate (FDR) estimation, and Percolator algorithm was used to evaluate false positives. Search results were filtered against 1% global FDR for high confidence level.
+ Open protocol
+ Expand
3

Purification and Identification of YB-1 Interactome

Check if the same lab product or an alternative is used in the 5 most similar protocols
YB-1 was purified from the nuclear and cytoplasmic fractions of two cancer cell lines; the adenocarcinoma cell line A549 and the breast cancer cell line MDA-MB23, as previously described [25 (link)]. Purified YB-1 was then separated using SDS-PAGE and stained with Coomassie (Supplementary Figure S1B). Excised bands were analysed by LC-MS/MS to identify the proteins that copurified with immunoprecipitated YB-1, again as previously described [25 (link)]. Peaklists and MS/MS data were generated using the Proteome Discoverer (version 1.4) software using default settings and searched against the Human Swiss-Prot amino acid sequence database using both the Mascot (http://www.matrixscience.com) and Sequest (Thermo Scientific) search engines. The search was set up for full tryptic peptides with a maximum of 3 missed cleavage sites. Carboxyamidomethyl cysteine, oxidized methionine, deamidation (N, Q), and phosphorylation (S, T, Y) were included as variable modifications. The precursor mass tolerance threshold was 10 ppm and the maximum fragment mass error 0.8 Da. Peptides were accepted as identified if their false discovery rate adjusted scores were above the score threshold at a false discovery rate≥ 1% as assessed by the Percolator algorithm [54 (link)]. Proteins were considered identified when they were assigned ≥ 2 peptides above the aforementioned score threshold.
+ Open protocol
+ Expand
4

Elf5 Interactome Profiling in TSCs

Check if the same lab product or an alternative is used in the 5 most similar protocols
Immunoprecipitated proteins from three biological replicates each of Elf5 and vector transfected TSCs were analyzed as before (Webster and Oxley 2009 ; Latos et al. 2015 (link)). Mass spectrometric data were processed using Proteome Discoverer version 1.4 (Thermo Scientific) and searched against the mouse entries in UniProt 2013.09 and a database of common contaminants using Mascot version 2.3 (Matrix Science), and the results were imported into Scaffold version 3.6 (Proteome Software, Inc.). With protein/peptide thresholds of 50%/0% and a minimum of two peptides, a total of 694 proteins was reported across the six samples, with a calculated protein false discovery rate of 0.0%. After further filtering, (proteins identified in at least two of the three replicates and having average spectral count ratios relative to the controls >2), 109 proteins remained, which are shown in Supplemental Table S1.
+ Open protocol
+ Expand
5

Proteomic analysis of Pseudomonas aeruginosa

Check if the same lab product or an alternative is used in the 5 most similar protocols
Data were analyzed with Proteome Discoverer version 1.4 (Thermo Fisher Scientific). The database search was performed against the Swissprot P. aeruginosa database. Mascot 2.5.1 (Matrix Science, London, UK) was used as the search engine with a precursor mass tolerance of 5 ppm and fragment mass tolerance of 0.5 Da, and one missed cleavage was recognized, mono-oxidation on methionine was set as a variable modification, and methylthiolation on cysteine was set as a fixed modification. Percolator was used for the validation of the identification results with the strict target false discovery rate of 1%, and proteins were only accepted when identified in all replicates. Gene ontology analysis was performed using the Funrich analysis tool, and principal component analysis and hierarchical cluster analysis were performed with the ClustVis software. The mass spectrometry data has been deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the dataset identifier PXD033690.
+ Open protocol
+ Expand
6

Mass Spectrometry Data Analysis Protocol

Check if the same lab product or an alternative is used in the 5 most similar protocols
The data of mass spectrometry results were RAW files, which were identified and quantitatively analyzed by software Mascot 2.2 and Proteome Discoverer Version 1.4 (Thermo Fisher Scientific Inc.).
+ Open protocol
+ Expand
7

Peptide Identification via Orbitrap LC-MS

Check if the same lab product or an alternative is used in the 5 most similar protocols
Samples digested with endolysosomal proteases were desalted using C18 ZipTips (EMD Millipore, Billerica, MA, USA). Resulting peptides were separated by reverse-phase nano-HPLC (Dionex Ultimate 3000, Thermo Fisher Scientific, Bremen, Germany, column: PepSwift Monolithic Nano Column, 100 μm × 25 cm, Dionex), where the column was eluted with an acetonitrile gradient (Solvent A: 0.1% (v/v) FA/0.01% (v/v) TFA/5% (v/v) ACN; solvent B: 0.1% (v/v) FA/0.01% (v/v) TFA/90% (v/v) ACN; 5–45% B in 60 min) at a flow rate of 1 μL/min at 55 °C. The peptides were analyzed by a Q Exactive Orbitrap mass spectrometer (Thermo Fisher Scientific) directly coupled to the HPLC. Capillary voltage at the nano-electrospray head was 2 kV. The instrument was tuned for maximum sensitivity. For peptide assignments, a top 12 method was used with the normalized fragmentation energy at 27%. Survey and fragment spectra were analyzed with Proteome Discoverer version 1.4 with SequestHT as search engine (Thermo Fisher Scientific) or PEAKS Studio 8 (Bioinformatics Solutions, Waterloo, ON, Canada), respectively. Searches were conducted with single allergen sequences. Only peptides with high confidence scores (XCorr ≥ 2.3 for SequestHT, −10lgP ≥ 35 for PEAKS) were considered.
+ Open protocol
+ Expand
8

Quantitative Proteomics of Urban PM2.5 Exposure

Check if the same lab product or an alternative is used in the 5 most similar protocols
A549 cells were exposed to 500 μg/mL urban PM2.5 with three biological replicates for 24 h, lysed in RIPA buffer, containing protease inhibitor cocktail (Roche, Germany), and incubated on ice for 30 min. Extracted proteins were subsequently tagged with tandem mass tags for quantitative mass spectrometry (TMT® Mass Tagging Kit, Thermo Scientific, Germany) [40 (link)]. Liquid chromatography-mass spectrometry (LC-MS/MS) raw data were assessed using Sequest-HT (Thermo Fisher Scientific Lafayette, CO, USA) as a search engine within the Proteome Discoverer version 1.4 against the Human RefSeq database (71465 proteins, updated on 03/03/2014). The results were filtered using the following settings: only high-confidence peptides with a global FDR < 1% based on a target-decoy approach were included. In the TMT quantitation workflow, the most confident centroid method was used with an integration window of 20 ppm. Only unique peptides were used for protein quantification.
+ Open protocol
+ Expand
9

Mass Spectrometry-based Protein Quantification

Check if the same lab product or an alternative is used in the 5 most similar protocols
Data analysis was performed using Proteome Discoverer version 1.4 (Thermo Fisher Scientific, Waltham, USA). The protein database for Mus musculus (February 2017, 16854 sequences) was downloaded from Swissprot. Mascot 2.5.1 (Matrix Science) was used as a search engine with precursor mass tolerance of 10 ppm and fragment mass tolerance of 0.02 Da, one missed tryptic cleavage was accepted. Mono-oxidation on methionine was set as a variable modification, methylthiolation on cysteine and TMT-6 reagent modification on lysine and peptide N-terminus were set as a fixed modification. Percolator was used for the validation of identificated results; target false discovery rate of 1% was used as a threshold to filter confident peptide identifications.
Reporter ion intensities were quantified in MS3 spectra using Proteome Discoverer 1.4 at 0.003 Da mass tolerances with reporter absolute intensity threshold of 2000. The resulting ratios were normalized on the median protein value of 1.0 in each sample.
+ Open protocol
+ Expand
10

Proteome Discoverer Workflow for Protein Analysis

Check if the same lab product or an alternative is used in the 5 most similar protocols
Proteome Discoverer version 1.4 (ThermoScientific) with search engine Sequest was used for data analysis. MS/MS spectra were searched against a FASTA database including target proteins and typical contaminant proteins (2.001 entries) using the following settings: Enzyme for protein cleavage was trypsin; two missed cleavages were allowed. Variable modifications were phosphorylation of Ser, Thr, and Tyr, nitrosylation of Tyr, acetylation of Lys, mono‐ and di‐methylation of Lys and Arg, tri‐methylation of Lys, oxidation of Met, and deamidation of Asn. Precursor mass tolerance was set to 10 ppm. The fragment mass tolerance was 0.5 Da. False discovery rate (FDR) for proteins and peptides was set to 1%.
+ Open protocol
+ Expand

About PubCompare

Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.

We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.

However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.

Ready to get started?

Sign up for free.
Registration takes 20 seconds.
Available from any computer
No download required

Sign up now

Revolutionizing how scientists
search and build protocols!