Electronic Supplementary Material for the manuscript entitled: Effective selenium detoxification in the seed proteins of a hyperaccumulator plant: the.

Slides:



Advertisements
Similar presentations
Tandem MS (MS/MS) on the Q-ToF2
Advertisements

Using Skyline to Monitor Long- Term Performance Metrics of High-Resolution Mass Spectrometers J. Will Thompson and M. Arthur Moseley Duke Proteomics Core.
In-depth Analysis of Protein Amino Acid Sequence and PTMs with High-resolution Mass Spectrometry Lian Yang 2 ; Baozhen Shan 1 ; Bin Ma 2 1 Bioinformatics.
Pesticide screening LC-QTOF, Agilent. National Food Institute, Technical University of Denmark Disposition National Food Institute –EURL –NRL –Personale.
Proteomics Informatics – Protein identification III: de novo sequencing (Week 6)
How to identify peptides October 2013 Gustavo de Souza IMM, OUS.
LC-MS Based Metabolomics. Analysing the METABOLOME 1.Metabolite Extraction 2.Metabolite detection (with or without separation) 3.Data analysis.
Sangtae Kim Ph.D. candidate University of California, San Diego
11 Determination of the Levels of Fungicides on Citrus Fruits By Miseung Borgers Chem 4101, Fall 2008.
LC/MS WORKSHOP IOWA STATE UNIVERSITY Kamel Harrata  Instrument Description  Data Acquisition  Data Processing.
Proteomics Informatics – Protein identification II: search engines and protein sequence databases (Week 5)
De Novo Sequencing of MS Spectra
HOW MASS SPECTROMETRY CAN IMPROVE YOUR RESEARCH
FIGURE 5. Plot of peptide charge state ratios. Quality Control Concept Figure 6 shows a concept for the implementation of quality control as system suitability.
Each results report will contain:
Scaffold Download free viewer:
Proteomics Informatics (BMSC-GA 4437) Course Director David Fenyö Contact information
My contact details and information about submitting samples for MS
Facts and Fallacies about de Novo Sequencing & Database Search.
Proteomics Informatics (BMSC-GA 4437) Course Director David Fenyö Contact information
THE PROTEOME OF OLIVE SEEDS AND THE INVISIBLE PROTEOME OF OLIVE OILS AS DETECTED VIA COMBINATIONAL PEPTIDE LIGAND LIBRARY CAPTURE Clara Esteve a, Alfonsina.
Conclusion  Comprehensive workflow identified approximately 70% more high confident peptide as compare to general search strategy.  The comprehensive.
Karl Clauser Proteomics and Biomarker Discovery Taming Errors for Peptides with Post-Translational Modifications Bioinformatics for MS Interest Group ASMS.
The dynamic nature of the proteome
Introduction The GPM project (The Global Proteome Machine Organization) Salvador Martínez de Bartolomé Bioinformatics support –
HPP Preliminary Results La Cristalera, August 2012 Montserrat Carrascal, Joan Villanueva, Joaquín Abián LP-CSIC/UAB.
PROTEIN QUANTIFICATION AND PTM JUN SIN HSS.I. PROJECT 1.
INF380 - Proteomics-91 INF380 – Proteomics Chapter 9 – Identification and characterization by MS/MS The MS/MS identification problem can be formulated.
Common parameters At the beginning one need to set up the parameters.
Analysis of Complex Proteomic Datasets Using Scaffold Free Scaffold Viewer can be downloaded at:
A Comprehensive Comparison of the de novo Sequencing Accuracies of PEAKS, BioAnalyst and PLGS Bin Ma 1 ; Amanda Doherty-Kirby 1 ; Aaron Booy 2 ; Bob Olafson.
Laxman Yetukuri T : Modeling of Proteomics Data
ETD & ETD/PTR Electron Transfer Dissociation Proton Transfer Reaction
Precursor m/z double charge iTRAQ ratio 114: iTRAQ ratio 116: iTRAQ ratio 121: Precursor m/z triple charge iTRAQ.
Temple University MASS SPECTROMETRY FURTHER INVESTIGATIONS Ilyana Mushaeva and Amber Moscato Department of Electrical and Computer Engineering Temple University.
Proteomics What is it? How is it done? Are there different kinds? Why would you want to do it (what can it tell you)?
Improving the Detection of Hydrophilic Peptides for Increased Protein Sequence Coverage and Enhanced Proteomic Analyses Brian S. Hampton 1 and Amos H.
Improving the Sensitivity of Peptide Identification Nathan Edwards Department of Biochemistry and Molecular & Cellular Biology Georgetown University Medical.
EBI is an Outstation of the European Molecular Biology Laboratory. In silico analysis of accurate proteomics, complemented by selective isolation of peptides.
Figure S1 Figure S1. Effect of MeJA on spore germination of M. oryzae. The data presented were the means (± standard error) of spore germination from three.
Error tolerant search Large number of spectra remain without significant score. Reasonable number of fragment ion peaks might have not match. – Underestimated.
Isotope Labeled Internal Standards in Skyline
Proteomics Informatics (BMSC-GA 4437) Instructor David Fenyö Contact information
The observed and theoretical peptide sequence information Cal.MassObserved. Mass ±da±ppmStart Sequence EndSequenceIon Score C.I%modification FLPVNEK.
Mascot Example Slides. MS/MS Database Search Example Data: BSAonespectra.mgf (one spectra) Database: bovine Fixed modifications: Carboxymethyl(C )
Deducing protein composition from complex protein preparations by MALDI without peptide separation.. TP #419 Kenneth C. Parker SimulTof Corporation, Sudbury,
Proteomics Informatics (BMSC-GA 4437) Course Directors David Fenyö Kelly Ruggles Beatrix Ueberheide Contact information
2014 생화학 실험 (1) 6주차 실험조교 : 류 지 연 Yonsei Proteome Research Center 산학협동관 421호
Workflows to set up acquisition methods for scheduled sMRM-HR on the TripleTOF 5600 Start from a data dependent acquisition (DDA) Perform data base search.
The world leader in serving science For Research Use Only. Not for use in diagnostic procedures Quantitative Analysis of 4 Immunosuppressant Drugs in Whole.
B Monoisotopic mass of neutral peptide M r (calc): Fixed modifications: Carbamidomethyl Ions score: 45 † Expect: ‡ Matches (red): 18/50.
RANIA MOHAMED EL-SHARKAWY Lecturer of clinical chemistry Medical Research Institute, Alexandria University MEDICAL RESEARCH INSTITUTE– ALEXANDRIA UNIVERSITY.
Yonsei Proteome Research Center Peptide Mass Finger-Printing Part II. MALDI-TOF 2013 생화학 실험 (1) 6 주차 자료 임종선 조교 내선 6625.
Target Analyses in Parallel Reaction Monitoring Mode (PRM)
Identify proteins. Proteomic workflow Trypsin A typical sample We add a solution of 50 mM NH 4 HCO 3 (pH 7.8) containing trypsin ( µg/µl). Volume.
James Byrd, Marta Kozak 28 Apr 2011
Expanding lipidome coverage using LC-MS/MS data-dependent acquisition with automated exclusion list generation Supporting Information Jeremy P. Koelmel1,
LC-MS/MS Identification of Impurities Present in Synthetic Peptide Drugs Dr Anna Meljon*, Dr Alan Thompson, Dr Osama Chahrour, and Dr John Malone Almac.
MassMatrix Search Results Explained
in an Agilent Ion Trap Mass Spectrometery
Bioinformatics Solutions Inc.
Supplementary Material
Interpretation of Mass Spectra I
Proteomics Informatics –
Instrument: Agilent 6495 QQQ, acquisition software version B
Shotgun Proteomics in Neuroscience
Interpretation of Mass Spectra
Presentation transcript:

Electronic Supplementary Material for the manuscript entitled: Effective selenium detoxification in the seed proteins of a hyperaccumulator plant: the analysis of selenium containing proteins of monkeypot nut ( Lecythis minor ) seeds by A. Németh and M. Dernovics, published in Journal of Biological Inorganic Chemistry Table S 2 Instrumental parameters of the HPLC-ESI-QTOF-MS set-up Accurate Mass QTOF LC-MS (Agilent) ESI sourceDual ESI (Agilent) Operational modePositive Precursor ion isolation in MS/MS modemedium (4 m/z) Mass accuracy< 2 ppm Mass resolution> Detection frequency 4 GHz Fragmentor voltage150 V/-150 V Curtain voltage65 V/ -65 V Drying gas13 L/min Capillary voltage800 V Nebulizer pressure40 psig Gas temperature325 ºC Data analysis softwareMass Hunter Acquisition B with SP3 Mass Hunter Qualitative Analysis B with SP3 Table S 1 Chromatographic parameters applied. ColumnXDB C18, 4.6 mm x 100 mm x 5 µm Injection volume (µL)10 Flow rate (mL min -1 )0.35 Buffer A0.1% formic acid in water Buffer Bacetonitrile with 0.1% formic acid Gradient program0-210% B 4up to 20% B 10up to 45% B 15up to 100% B 20100% B 22down to 10% B

Table S 4. Protein database search identification results. The coverage was calculated by the sotware based on the sequence of the precursor protein. In the case of 2S albumin and 2S sulfur-rich proteins, the signal and propeptides are removed during the maturation of the proteines. The revised coverages were calculated based on the sequence of the mature proteins. Methionine coverage is the coverage of methionine containing peptides. Se-containing peptides are highlighted. Accession number DescriptionOrganism Software coverage Calculated coverage Methionine coverage Peptides Sequencem/zzMassMass errorStartEnd Q84ND211S globulinB. excelsa VIRPP VQIVDHR HFFLAGNIQR CAGVAALR LYYVTGR NGETVFDDNLR VQHTASDLNQLDQNPR NTIRPQGLLLPVYTNAPK KGDIIAIPAGVALW GILGVLMPGCPETF GILGVLBPGCPETF LTTVNSLKVPILTF FIQNIDNPAEDFYNPR VPILTFLQL B6EU542S albuminB. excelsa1829 GEQMR CEGLR EMQPR GEQBR EBQPR QQMLSH pyro-QQBLSH CNLSPQR MAENLPSR BAENLPSR P S sulfur-rich storage protein 1 B. excelsa1532 GEQMR CEGLR EMQPR GEQBR EBQPR QQMLSH AENLPSR pyro-QQBLSH MQQEEMQPR BQQEEMQPR BQQEEBQPR QQBLSH P0C8Y8 2S sulfur-rich storage protein 2 B. excelsa51519 MYLR BYLR CEGLR CNLSPQR Table S 3. Database search and protein validation settings. Database search settings Name and version of the programPeptideShaker EnzymeTrypsin Fixed modificationCarbamidomethyl cysteine Variable modifications Phosphorylation of serine or tyrosine Oxidation of methionine Selenomethionine Selenocysteine Precursor mass tolerance10 ppm Fragment ion typesb and y Maximum missed cleavages2 Fragment mass tolerance0.05 mDa Precursor charge2-3 Validation settings Validated hits8 Confidence95% Lowest confidence of validated results100% FDR1 FNR1

x y2y2 y1y1 y4y4 y5y5 y7y7 y8y8 m/z Intensity, cps y 12 GVLM P I L C*PE T F G G x m/z Intensity. cps y2y2 y1y1 y4y4 y5y5 y7y7 y8y8 y9y9 y 5’ y 7’ y 6’ GVLB P I L CPE T F G G GVLM P I L SeCPE T F G G y7y7 y 5’ y 7’ y 6’ m/z Intensity, cps x (‘) Figure S 1. The MS-MS spectra and the identification details of the peptide GILGVLMPGCPETF and its selenium analogue. While the selenopeptide was identified by the search engines as a Sec containing peptide, the manual checking of the MS-MS spectra revealed the absence of Sec containing fragments (y5’, y6’, y7’). In the peptide sequence C* corresponds to carbamydomethyl- cysteine, B denotes to selenomethionine and Sec represents selenocysteine.

m/z Intensity, cps x BSK MB BSK BM MSK BB y1y1 y2y2 y3y3 y4y4 y 2’ y 3’ y 4’ y 4’’ y 2’’ 0 0, x10 4 m/z Intensity, cps MSK BM MSK MB BSK MM y1y1 y3y3 y4y4 y 2’’ y 3’ y 3’’ y 4’ y 4’’ b2b2 y2y2 y 2’ y 2’’ Figure S 2. MS-MS spectra and details of de novo sequencing of selenopeptides. x ,7 1, m/z Intensity, cps MSK MM y1y1 y2y2 y3y3 y4y4

m/z Intensity, cps x y1y1 y2y2 y3y3 y4y4 SFB E GSR S y5y5 y6y6 x , m/z Intensity, cps y1y1 y2y2 y3y3 y4y4 y5y5 y6y6 GKN F CAM V R y7y7 y8y8 x ,2 2, m/z Intensity, cps y1y1 y2y2 y3y3 y4y4 y5y5 y6y6 GKN F CAB V R y7y7 y8y8 x , m/z Intensity, cps y1y1 y2y2 y3y3 y4y4 SFM E GSR S y5y5 y6y6 y7y7

MGM B ENP A E S R BGM M ENP A E S R MGB M ENP A E S R x m/z Intensity, cps y1y1 y2y2 y3y3 y5y5 y6y6 y7y7 y8y8 y 10 y4y4 y 8’ y 10’’ y 9’’ y9y9 y 9’ y 10’ x m/z Intensity, cps ENAM M IY P R A R y1y1 y2y2 y3y3 y4y4 y5y5 y6y6 y7y7 y8y8 y9y9 y 10 m/z Intensity, cps x ENAB M IY P R A R y1y1 y2y2 y3y3 y4y4 y5y5 y6y6 y7y7 y8y8 y9y9 y 10 x m/z Intensity, cps y1y1 y2y2 y4y4 y5y5 y6y6 y7y7 y8y8 MGM M ENP A E S R y9y9 y 10