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Paragon algorithm

Manufactured by AB Sciex
Sourced in France, United States

The Paragon algorithm is a core component of AB Sciex's analytical instruments. It is a computational algorithm designed to process and analyze data generated by these instruments. The Paragon algorithm provides automated data processing and interpretation capabilities, enabling efficient and reliable analysis of samples.

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14 protocols using paragon algorithm

1

CaMKK2 Autophosphorylation Analysis

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In order to analyse Thr85 autophosphorylation in the G87R mutant, 1 μg of WT CaMKK2 or G87R mutant was incubated with 5 mM MgCl2, 50 μM CaCl2 and 1 μM CaM in the presence and absence of 200 μM ATP for 40 min, then digested with trypsin and analyzed by reversed-phase HPLC-ESI-MS/MS using an UltiMate 3000 Nano LC HPLC system (Dionex) directly connected to a Triple-TOF 5600 mass spectrometer (AB SCIEX) in direct injection mode. Peptide mixtures were resolved on an analytical nanocapillary HPLC column (100 μm i.d. × 15 cm) packed with C18 Acclaim PepMap100 (3 μm particle size, 100 Å pore size) using a 1–75% elution gradient of 98% acetonitrile/2% of 0.1% formic acid (v/v) in water at a flow rate of 250 nl/min. Mass spectrometric data were analyzed using the database search engine ProteinPilot and the Paragon algorithm (AB Sciex).
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2

Peptide Identification and Quantification

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Peptide identification and quantification was carried out on the ProteinPilot 4.5 software Revision1656 (AB SCIEX, 2012) using the Paragon™ algorithm and the integrated false discovery rate (FDR) analysis function and peptide shaker search engine. The search was conducted using SearchGUI version 1.16.18 [35 (link)]. Protein identification was conducted against a concatenated target/decoy [36 (link)] version of the Homo sapiens (20,316, >99.9%), Susscrofa (1, <0.1%) complement of the UniProtKB [37 (link)]. The decoy sequences were created from the target sequences in SearchGUI. The identification settings were as follows: Trypsin, Specific, with a maximum of 2 missed cleavages 50.0 ppm as MS1 and 0.02 Da as MS2 tolerances; fixed modifications: Carbamidomethylation of C (+57.021464 Da), variable modifications: Oxidation of M (+15.994915 Da), fixed modifications during refinement procedure: Carbamidomethylation of C (+57.021464 Da), variable modifications during refinement procedure: Acetylation of protein N-term (+42.010565 Da).
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3

Quantitative Proteomic Analysis of Tissues

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The MS and MS/MS spectra were used for identification and relative quantification using the ProteinPilot™ v 4.0 software with the Paragon™ Algorithm (AB Sciex, Les Ulis, France). The analysis was performed with the UniProtKB/Swiss-Prot Rat database (European Institute of Bioinformatics, Hinxton, UK). In our study, the search was set to “Thorough ID” and a false discovery rate (FDR) analysis of 1% was applied. Proteins quantified with at least one peptide at the 95% peptide confidence level were included in the final set of quantified proteins. In order to perform statistical analysis for the quantified proteins we used the R package isobar (version 1.14.0). The statistical approach used through isobar was described in detail in our previous paper [29 (link)]. The analysis was performed using a normal fit and proteins which ratio had a p-value ratio and a p-value sample < 0.05 were considered significantly differentially expressed. The iTRAQ data are presented as protein ratio in the different conditions relatively to the control non-treated rats. The ratios for lung tissues Treated/Control are 115/113 and 116/114, the ratios for liver tissues are 119/117 and 121/118, and the ratios for brain tissues 116/114 and 117/115.
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4

Protein Identification by Trypsin Digestion and MALDI-TOF MS

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2DE protein spots were excised and subjected to reduction (10 mM dithiothreitol), alkylation (50 mM iodoacetamide), and overnight in-gel digestion with sequencing grade trypsin (Sigma), in 50 mM ammonium bicarbonate at 37°C. Tryptic peptide digests were extracted in 50% acetonitrile containing 1% trifluoroacetic acid (TFA), and analyzed by MALDI-TOF-TOF MS using an AB4800-Plus Proteomics Analyzer (Applied Biosystems). To this end, tryptic digests were mixed with an equal volume of α-cyano-hydroxycinnamic acid saturated in 50% acetonitrile, 0.1% TFA, and 1 μL spotted onto an Opti-TOF 384-well plate, dried, and analyzed in positive reflector mode. TOF MS spectra were acquired using 500 shots at a laser intensity of 3000. TOF/TOF fragmentation spectra were acquired (500 shots at a laser intensity of 3900) for the ten most intense precursor ions. External calibration in each run was performed with CalMix standards (ABSciex) spotted onto the same plate. Fragmentation spectra were searched against the UniProt/SwissProt database (taxonomy: Serpentes) using the ProteinPilot v.4 and the Paragon algorithm (ABSciex) at ≥95% confidence, or manually interpreted and the deduced sequences BLASTed against the NCBI (http://blast.ncbi.nlm.nih.gov) non-redundant database for protein class assignment by similarity.
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5

Quantitative Proteomics of Rice

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The peak lists for the MS/MS spectra were processed by ProteinPilot v4.5 (AB SCIEX) to identify the proteins, and then quantified using the Paragon algorithm (AB SCIEX). The data were searched against the NCBI O. sativa database downloaded on May 1, 2013. The following Paragon algorithm parameters were used: the sample type was iTRAQ 4-plex (peptide labelled); the cysteine alkylation was methyl methane-thiosulfonate (MMTS); the digestion was trypsin specificity; the search effort was a thorough ID; and the processing was background, quantitation and bias correction. The proteins were identified as having at least two distinct peptides with a 99% confidence and a 2.0 contribution to the unused ProtScore, which created an even more reliable protein list. Proteins with an Unused ProtScore ≥4.0 were included in the final protein list. The threshold for the reliable quantitation of protein expression was set at p < 0.05.
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6

Proteomic Analysis of Cattle Extracellular Vesicles

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ProteinPilot (v. 5.0.2.0, 5346) (AB SCIEX LLC, Framingham, MA, USA) was used to process individual MS data files using Paragon Algorithm (v. 5.0.2.0, 5174) within the ProteinPilot software. Spectra were searched against a combined cattle proteome (23,847 sequences, downloaded Aug 2020, available in fasta format, Uniprot), cRAP sequences (ftp://ftp.thegpm.org/fasta/cRAP (accessed on 13 April 2021)) and iRT peptides file. Search parameters were entered as previously described [39 (link)]. The protein list was exported to a .xls file and subjected to an additional refinement where proteins for each method were filtered to include a minimum of two peptides per protein ID (1% FDR at the protein level; 5% FDR at the peptide level). All sEV samples were compared to a plasma control sample.
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7

Proteomic Identification of Snake Venom

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Protein bands were excised from the polyacrylamide gels and subjected to reduction (10 mM dithiothreitol), alkylation (50 mM iodoacetamide), and overnight ingel digestion with sequencing grade trypsin (Sigma), in 50 mM ammonium bicarbonate at 37 °C. Tryptic peptides were extracted with 50% acetonitrile containing 1% TFA, and analyzed by MALDI-TOF-TOF on an AB4800-Plus Proteomics Analyzer (Applied Biosystems). Peptides were mixed with an equal volume of saturated α-cyanohydroxycinnamic acid (in 50% acetonitrile, 0.1% TFA), and spotted (1 μL) onto an Opti-TOF 384-well plate, dried, and analyzed in positive reflector mode. TOF spectra were acquired using 500 shots at a laser intensity of 3000. Selection of the ten most intense precursor ions was done automatically and their TOF/TOF fragmentation spectra were acquired using 500 shots at a laser intensity of 3900. External calibration in each run was performed with CalMix ® standards (ABSciex) spotted onto the same plate. Resulting spectra were searched against the UniProt/SwissProt database for Serpentes (20150217) using ProteinPilot ® v.4 and the Paragon ® algorithm (ABSciex) at ≥ 95% confidence, or, in few cases, manually interpreted and the deduced sequences searched using BLAST (http://blast.ncbi.nlm.nih.gov) for protein family assignment by similarity.
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8

Protein Identification by Mass Spectrometry

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Protein bands were excised from gels, destained with 50% acetonitrile in 25 mM ammonium bicarbonate, and then subjected to reduction (10 mM dithiothreitol), alkylation (50 mM iodoacetamide), and overnight in-gel digestion with sequencing grade trypsin (Sigma), in 50 mM ammonium bicarbonate at 37°C. The resulting tryptic peptides were extracted with 50% acetonitrile containing 1% trifluoroacetic acid (TFA), and analyzed by MALDI-TOF-TOF on an AB4800-Plus Proteomics Analyzer (Applied Biosystems), under conditions previously described (Lomonte et al., 2014) . In each run, CalMix ® standards (ABSciex) spotted onto the same plate were used as external calibrants. Resulting spectra were searched against the UniProt/SwissProt database using ProteinPilot ® v.4 and the Paragon ® algorithm (ABSciex) for protein identification at ≥ 95% score confidence, or manually interpreted. Few peptide sequences with lower confidence scores were manually searched using BLAST (http://blast.ncbi.nlm.nih.gov)
for protein similarity and assignment to protein families.
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9

Venom Protein Identification by MALDI-TOF

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From the polyacrylamide gels protein bands were excised and subjected to reduction (10 mM dithiothreitol), alkylation (50 mM iodoacetamide), and overnight in-gel digestion with sequencing grade trypsin (Sigma), in 50 mM ammonium bicarbonate at 37 °C. Tryptic peptides were extracted with 50% acetonitrile containing 1% TFA, and analyzed by MALDI-TOF-TOF on an AB4800-Plus Proteomics Analyzer (Applied Biosystems). Digested and extracted peptides were mixed with an equal volume of saturated α-cyano-hydroxycinnamic acid (in 50% acetonitrile, 0.1% TFA), and spotted (1 μL) onto an Opti-TOF 384-well plate, dried, and analyzed in positive reflector mode. TOF spectra were acquired using 500 shots at a laser intensity of 3000. TOF/TOF fragmentation spectra were acquired using 500 shots at a laser intensity of 3900 for the automatically selected ten most intense precursor ions. CalMix ® standards (ABSciex) spotted onto the same plate were used for external calibration in each run. Resulting spectra were searched against the UniProt/SwissProt database for Serpentes (20150217) using ProteinPilot ® v.4 and the Paragon ® algorithm (ABSciex) at ≥ 95% confidence, or, in few cases, manually interpreted, and the deduced sequences searched using BLAST (http://blast.ncbi.nlm.nih.gov) for assignment of protein family by similarity.
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10

Quantitative Proteomic Analysis of Primary Human Hepatocytes

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Freshly isolated PHH were compared to liver tissue, 3D PHH spheroids after aggregation (7 d) and cells cultured as 2D monolayers (24 h and 7 d) from the same donors. Cells were washed, scraped and pelleted in phosphate buffer (pH 7.4). Subsequently, cells were resuspended in a volume of 0.5 M TEAB/0.1% SDS equivalent to cell pellet volume. Liver samples (50–100 mg) were homogenised in 0.5 M TEAB/0.1% SDS using a Mixer Mill 220 (Retsch, Haan, Germany). Cell and liver samples were subjected to one freeze-thaw cycle, sonicated and centrifuged. 100 μg protein/sample were denatured, reduced and treated with methyl methanethiosulfonate according to the manufacturer’s protocol (Sciex, Framingham, MA, USA), before being labelled with isobaric tags for absolute and relative quantification (iTRAQ), pre-fractionated by cation exchange chromatography and analysed on a Triple TOF 5600 (Sciex) as previously described43 (link). Samples from each donor were analysed in a single iTRAQ run. Data were searched using ProteinPilot 4.2 and the Paragon algorithm (Sciex) against the SwissProt database and a reversed decoy database and only proteins lying within a 1% global false discovery rate (FDR) were taken forward for analysis.
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