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5 protocols using gps explorer software 3

1

Protein Identification by Mass Spectrometry

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Combined peptide mass fingerprinting PMF and MS/MS queries were performed using the MASCOT search engine 2.2 (Matrix Science, Boston, MA, USA) embedded into GPS-Explorer Software 3.6 (Applied Biosystems, Forster City, CA, USA) on the Swiss Uniport database and NCBI database with the following parameter settings: 100 ppm mass accuracy, trypsin cleavage, one missed cleavage allowed, carbamidomethylation set as fixed modification, oxidation of methionine was allowed as variable modification, and MS/MS fragment tolerance was set to 0.4 Da.
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2

MALDI-TOF-TOF protein identification protocol

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MS and MS/MS data for protein identification were obtained by using a MALDI-TOF-TOF instrument (4700 proteomics analyzer; Applied Biosystems, Foster City, CA). The MS spectra were recorded in reflector mode in a mass range from 800 to 4,000 with a focus mass of 2,000. The TOF/TOF calibration mixtures (AB SCIEX) were used to calibrate the spectrum to a mass tolerance within 10 ppm. For MS calibration, autolysis peaks of trypsin ([M + H] + 842.5100 and 2,211.1046) were used as internal calibrates, and the most intense ion signals (up to 10) were selected as precursors for MS/MS acquisition, excluding the trypsin autolysis peaks and the matrix ion signals.
Peptide mass finger printing PMF and MS/MS queries were performed by using the MASCOT search engine 2.2 (Matrix Science, London, UK) embedded into GPS-Explorer Software 3.6 (Applied Biosystems). A GPS Explorer protein confidence index ≥95% were used to align with the deduced protein sequence of TlXyn11B.
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MALDI-TOF Protein Identification and Functional Annotation

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Mass spectrometry and MS/MS data for the recognition of proteins were generated with a MALDI-TOF appliance (4800 plus proteomics analyzer, Applied Biosystems) as described previously [24 (link)]. Collective peptide mass fingerprinting (PMF) and MS/MS inquiries were accomplished by the MASCOT search engine 2.2 (Matrix Science, Ltd., U.S.) fixed into GPS-Explorer Software 3.6 (Applied Biosystems) on NCBI database (Taxonomy: NCBI_Bacteria, number of sequences 32052081, 30/8/2013, NCBI_Mycoplasma, number of sequences 198866, 22/5/2014) and Uniprot database (Number of sequences 540732, 3/9/2013). The identified proteins sequences were obtained from NCBI. Upon comparison to cluster of orthologues groups (COGs) database using RPS-BLAST, functional classification of proteins was determined, and subcellular localization of identified proteins was anticipated with PSORTb database.
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4

Protein Identification via MALDI-TOF/TOF

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All the protein spots of interest were selected and excised manually. Sequencing-grade trypsin (Promega, USA) was added for digestion overnight at 37°C and the enzymatic hydrolysate was collected. ZipTip (Millipore, USA) desalination was performed.
The samples were mixed with alpha-cyano-4-hydroxycinnamic acid (HCCA) matrix as a 1 : 1 relationship. The MS and MS/MS data for protein identification were obtained through 4800 Plus MALDI TOF/TOFTM Analyzer (Applied Biosystems). Combined peptide mass fingerprinting and MS/MS queries were performed using the MASCOT search engine 2.2 (Matrix Science, Ltd) embedded into GPS-Explorer Software 3.6 (Applied Biosystems) on the National Center for Biotechnology Information database.
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5

Phosphoprotein Identification via MALDI-TOF/TOF

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The differentially expressed phosphoprotein spots were manually excised from the gels, before in-gel digestion [7 (link)]. The peptides were subsequently analyzed using the ABI 4800 Proteomics Analyzer MALDI-TOF/TOF (Applied Biosystems, Foster City, CA). Database search was performed in the Oryza sativa database (Uniprot, v.2016.08.24) using the MASCOT search engine 2.2 (Matrix Science, Ltd.) with GPS-Explorer Software 3.6 (Applied Biosystems). The parameter settings were as following: peptide mass tolerance: 100 ppm; fragment tolerance: ±0.3 Da; protein score C.I.%: ≥95%; total ion score C.I.%: ≥95% and significance threshold: p < 0.05. Besides, to eliminate the redundancy of proteins that appeared in the database under different names and accession numbers, the single-protein member belonging to the species of O. sativa or others with the highest protein score (top rank) was singled out from the multi-protein family.
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