Exploring the Human Plasma Proteome - 14 Angebote vergleichen

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Von Händler/Antiquariat, Book Deals [60506629], Lewiston, NY, U.S.A.
Brand New, Unread Copy in Perfect Condition. A+ Customer Service! Summary: 1 Overview of the HUPO Plasma Proteome Project: Results from the pilot phase with 35 collaborating laboratories and multiple analytical groups, generating a core dataset of 3020 proteins and a publicly-available database (Gilbert S. Omenn, David J. States, Marcin Adamski, Thomas W. Blackwell, Rajasree Menon, Henning Hermjakob, Rolf Apweiler, Brian B. Haab, Richard J. Simpson, James S. Eddes, Eugene A. Kapp, Robert L. Moritz, Daniel W. Chan, Alex J. Rai, Arie Admon, Ruedi Aebersold, Jimmy Eng, William S. Hancock, Stanley A. Hefta, Helmut Meyer, Young-Ki Paik, Jong-Shin Yoo, Peipei Ping, Joel Pounds, Joshua Adkins, Xiaohong Qian, Rong Wang, Valerie Wasinger, Chi Yue Wu, Xiaohang Zhao, Rong Zeng, Alexander Archakov, Akira Tsugita, Ilan Beer, Akhilesh Pandey, Michael Pisano, Philip Andrews, Harald Tammen, David W. Speicher and Samir M. Hanash). 1.1 Introduction. 1.2 PPP reference specimens. 1.3 Bioinformatics and technology platforms. 1.3.1 Constructing a PPP database for human plasma and serum proteins. 1.3.2 Analysis of confidence of protein identifications. 1.3.3 Quantitation of protein concentrations. 1.4 Comparing the specimens. 1.4.1 Choice of specimen and collection and handling variables. 1.4.2 Depletion of abundant proteins followed by fractionation of intact proteins. 1.4.3 Comparing technology platforms. 1.4.4 Alternative search algorithms for peptide and protein identification. 1.4.5 Independent analyses of raw spectra or peaklists. 1.4.6 Comparisons with published reports. 1.4.7 Direct MS (SELDI) analyses. 1.4.8 Annotation of the HUPO PPP core dataset(s). 1.4.9 Identification of novel peptides using whole genome ORF search. 1.4.10 Identification of microbial proteins in the circulation. 1.5 Discussion. 1.6 References. 2 Data management and preliminary data analysis in the pilot phase of the HUPO Plasma Proteome Project (Marcin Adamski, Thomas Blackwell, Rajasree Menon, Lennart Martens, Henning Hermjakob, Chris Taylor, Gilbert S. Omenn and David J. States). 2.1 Introduction. 2.2 Materials and methods. 2.2.1 Development of the data model. 2.2.2 Data submission process. 2.2.3 Design of the data repository. 2.2.4 Receipt of the data. 2.3 Inference from peptide level to protein level. 2.4 Summary of contributed data. 2.4.1 Cross-laboratory comparison, confidence of the identifications. 2.5 False-positive identifications. 2.6 Data dissemination. 2.7 Discussion. 2.8 Concluding remarks. 2.9 Computer technologies applied. 2.10 References. 3 HUPOPlasma Proteome Project specimen collection and handling: Towards the standardization of parameters for plasma proteome samples (Alex J. Rai, Craig A. Gelfand, Bruce C. Haywood, David J. Warunek, Jizu Yi, Mark D. Schuchard, Richard J. Mehigh, Steven L. Cockrill, Graham B. I. Scott, Harald Tammen, Peter Schulz-Knappe, David W. Speicher, Frank Vitzthum, Brian B. Haab, Gerard Siest and Daniel W. Chan). 3.1 Introduction. 3.2 Materials and methods. 3.2.1 HUPO reference sample collection protocol. 3.2.2 Differential peptide display. 3.2.3 Stability studies and SELDI analysis. 3.2.4 SDS-PAGE analysis for stability studies. 3.2.5 2-DE for stability studies. 3.2.6 SELDI-TOF analysis for protease inhibitor studies. 3.2.7 2-DE for plasma protease inhibition studies. 3.2.8 Tryptic digestion and protein identification for protease inhibition studies. 3.2.9 Antibody microarray analysis using two-color rolling circle amplification. 3.3 Results. 3.3.1 Comparisons of specimen types. 3.3.2 Evaluation of storage and handling conditions. 3.3.3 Evaluations of the use of protease inhibitors. 3.4 Discussion. 3.4.1 Other pre-analytical variables and control.

Lieferung aus: Vereinigte Staaten von Amerika, Versandkostenfrei.
Von Händler/Antiquariat, Book Deals [60506629], Lewiston, NY, U.S.A.
This Book is in Good Condition. Clean Copy With Light Amount of Wear. 100% Guaranteed. Summary: 1 Overview of the HUPO Plasma Proteome Project: Results from the pilot phase with 35 collaborating laboratories and multiple analytical groups, generating a core dataset of 3020 proteins and a publicly-available database (Gilbert S. Omenn, David J. States, Marcin Adamski, Thomas W. Blackwell, Rajasree Menon, Henning Hermjakob, Rolf Apweiler, Brian B. Haab, Richard J. Simpson, James S. Eddes, Eugene A. Kapp, Robert L. Moritz, Daniel W. Chan, Alex J. Rai, Arie Admon, Ruedi Aebersold, Jimmy Eng, William S. Hancock, Stanley A. Hefta, Helmut Meyer, Young-Ki Paik, Jong-Shin Yoo, Peipei Ping, Joel Pounds, Joshua Adkins, Xiaohong Qian, Rong Wang, Valerie Wasinger, Chi Yue Wu, Xiaohang Zhao, Rong Zeng, Alexander Archakov, Akira Tsugita, Ilan Beer, Akhilesh Pandey, Michael Pisano, Philip Andrews, Harald Tammen, David W. Speicher and Samir M. Hanash). 1.1 Introduction. 1.2 PPP reference specimens. 1.3 Bioinformatics and technology platforms. 1.3.1 Constructing a PPP database for human plasma and serum proteins. 1.3.2 Analysis of confidence of protein identifications. 1.3.3 Quantitation of protein concentrations. 1.4 Comparing the specimens. 1.4.1 Choice of specimen and collection and handling variables. 1.4.2 Depletion of abundant proteins followed by fractionation of intact proteins. 1.4.3 Comparing technology platforms. 1.4.4 Alternative search algorithms for peptide and protein identification. 1.4.5 Independent analyses of raw spectra or peaklists. 1.4.6 Comparisons with published reports. 1.4.7 Direct MS (SELDI) analyses. 1.4.8 Annotation of the HUPO PPP core dataset(s). 1.4.9 Identification of novel peptides using whole genome ORF search. 1.4.10 Identification of microbial proteins in the circulation. 1.5 Discussion. 1.6 References. 2 Data management and preliminary data analysis in the pilot phase of the HUPO Plasma Proteome Project (Marcin Adamski, Thomas Blackwell, Rajasree Menon, Lennart Martens, Henning Hermjakob, Chris Taylor, Gilbert S. Omenn and David J. States). 2.1 Introduction. 2.2 Materials and methods. 2.2.1 Development of the data model. 2.2.2 Data submission process. 2.2.3 Design of the data repository. 2.2.4 Receipt of the data. 2.3 Inference from peptide level to protein level. 2.4 Summary of contributed data. 2.4.1 Cross-laboratory comparison, confidence of the identifications. 2.5 False-positive identifications. 2.6 Data dissemination. 2.7 Discussion. 2.8 Concluding remarks. 2.9 Computer technologies applied. 2.10 References. 3 HUPOPlasma Proteome Project specimen collection and handling: Towards the standardization of parameters for plasma proteome samples (Alex J. Rai, Craig A. Gelfand, Bruce C. Haywood, David J. Warunek, Jizu Yi, Mark D. Schuchard, Richard J. Mehigh, Steven L. Cockrill, Graham B. I. Scott, Harald Tammen, Peter Schulz-Knappe, David W. Speicher, Frank Vitzthum, Brian B. Haab, Gerard Siest and Daniel W. Chan). 3.1 Introduction. 3.2 Materials and methods. 3.2.1 HUPO reference sample collection protocol. 3.2.2 Differential peptide display. 3.2.3 Stability studies and SELDI analysis. 3.2.4 SDS-PAGE analysis for stability studies. 3.2.5 2-DE for stability studies. 3.2.6 SELDI-TOF analysis for protease inhibitor studies. 3.2.7 2-DE for plasma protease inhibition studies. 3.2.8 Tryptic digestion and protein identification for protease inhibition studies. 3.2.9 Antibody microarray analysis using two-color rolling circle amplification. 3.3 Results. 3.3.1 Comparisons of specimen types. 3.3.2 Evaluation of storage and handling conditions. 3.3.3 Evaluations of the use of protease inhibitors. 3.4 Discussion. 3.4.1 Other pre-analytical variables and control.

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On the cutting edge of medical diagnostics, plasma proteomics promises to generate a new wave of technologies to help identify many different diseases and disease risks. Plasma and serum are the preferred non-invasive specimens to test normal individuals, at-risk groups, and patients for protein biomarkers discovered and validated to reflect physiological, pathological, and pharmacological phenotypes. These specimens present enormous challenges due to extreme complexity, huge dynamic range in protein concentrations, non-standardized methods of sample processing, and intra- and inter-individual variation from genetics, diet, smoking, hormones, and other sources. This book presents the major findings from the collaborative Plasma Proteome Project organized by the international Human Proteome Organization (HUPO). The chapters are drawn from a larger set of publications in the journal PROTEOMICS. This book provides a valuable foundation for development and applications of proteomics. Printed Access Code, Ausgabe: 1, Label: Wiley-Blackwell, Wiley-Blackwell, Produktgruppe: Book, Publiziert: 2006-11-28, Studio: Wiley-Blackwell.

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