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Evolution of translational omics [[electronic resource] ] : lessons learned and the path forward / / Committee on the Review of Omics-Based Tests for Predicting Patient Outcomes in Clinical Trials; Board on Health Care Services; Board on Health Sciences Policy ; Christine M. Micheel, Sharyl J. Nass, and Gilbert S. Omenn, editors ; Institutes of Medicine of the National Academies
| Evolution of translational omics [[electronic resource] ] : lessons learned and the path forward / / Committee on the Review of Omics-Based Tests for Predicting Patient Outcomes in Clinical Trials; Board on Health Care Services; Board on Health Sciences Policy ; Christine M. Micheel, Sharyl J. Nass, and Gilbert S. Omenn, editors ; Institutes of Medicine of the National Academies |
| Pubbl/distr/stampa | Washington, D.C., : National Academies Press, c2012 |
| Descrizione fisica | 1 online resource (338 p.) |
| Disciplina | 572.33 |
| Altri autori (Persone) |
MicheelChristine
NassSharyl J OmennGilbert S |
| Soggetto topico |
Genomics - Technology
Genomics - Data processing Genetic translation - Technology Biomolecules - Analysis Biomolecules - Data processing Bioinformatics - Technology Biotechnology Data mining - Analysis |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-283-63640-9
0-309-22419-5 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
""Front Matter""; ""Reviewers""; ""Acknowledgments""; ""Contents""; ""Boxes, Figures, and Tables""; ""Summary""; ""1 Introduction""; ""2 Omics-Based Clinical Discovery: Science, Technology, and Applications""; ""3 Best Practices for Omics-Based Test Validation Prior to Use for Patient Management Decisions in a Clinical Trial Setting""; ""4 Evaluation of Omics-Based Tests for Clinical Utility and Use""; ""5 Responsible Parties""; ""6 Lessons from the Case Studies""; ""Appendix A: Case Studies""
""Appendix B: Gene Expression Based Tests Developed at Duke University and Used in Clinical Trials""""Appendix C: Introduction to Biomarkers""; ""Appendix D: Reporting Guidelines""; ""Appendix E: Committee Member and Staff Biographies""; ""Appendix F: Information Gathering Sessionsand Speakers""; ""Acronyms and Abbreviations""; ""Glossary"" |
| Record Nr. | UNINA-9910462080103321 |
| Washington, D.C., : National Academies Press, c2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Evolution of translational omics [[electronic resource] ] : lessons learned and the path forward / / Committee on the Review of Omics-Based Tests for Predicting Patient Outcomes in Clinical Trials; Board on Health Care Services; Board on Health Sciences Policy ; Christine M. Micheel, Sharyl J. Nass, and Gilbert S. Omenn, editors ; Institutes of Medicine of the National Academies
| Evolution of translational omics [[electronic resource] ] : lessons learned and the path forward / / Committee on the Review of Omics-Based Tests for Predicting Patient Outcomes in Clinical Trials; Board on Health Care Services; Board on Health Sciences Policy ; Christine M. Micheel, Sharyl J. Nass, and Gilbert S. Omenn, editors ; Institutes of Medicine of the National Academies |
| Pubbl/distr/stampa | Washington, D.C., : National Academies Press, c2012 |
| Descrizione fisica | 1 online resource (338 p.) |
| Disciplina | 572.33 |
| Altri autori (Persone) |
MicheelChristine
NassSharyl J OmennGilbert S |
| Soggetto topico |
Genomics - Technology
Genomics - Data processing Genetic translation - Technology Biomolecules - Analysis Biomolecules - Data processing Bioinformatics - Technology Biotechnology Data mining - Analysis |
| ISBN |
1-283-63640-9
0-309-22419-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
""Front Matter""; ""Reviewers""; ""Acknowledgments""; ""Contents""; ""Boxes, Figures, and Tables""; ""Summary""; ""1 Introduction""; ""2 Omics-Based Clinical Discovery: Science, Technology, and Applications""; ""3 Best Practices for Omics-Based Test Validation Prior to Use for Patient Management Decisions in a Clinical Trial Setting""; ""4 Evaluation of Omics-Based Tests for Clinical Utility and Use""; ""5 Responsible Parties""; ""6 Lessons from the Case Studies""; ""Appendix A: Case Studies""
""Appendix B: Gene Expression Based Tests Developed at Duke University and Used in Clinical Trials""""Appendix C: Introduction to Biomarkers""; ""Appendix D: Reporting Guidelines""; ""Appendix E: Committee Member and Staff Biographies""; ""Appendix F: Information Gathering Sessionsand Speakers""; ""Acronyms and Abbreviations""; ""Glossary"" |
| Record Nr. | UNINA-9910785914803321 |
| Washington, D.C., : National Academies Press, c2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Evolution of translational omics [[electronic resource] ] : lessons learned and the path forward / / Committee on the Review of Omics-Based Tests for Predicting Patient Outcomes in Clinical Trials; Board on Health Care Services; Board on Health Sciences Policy ; Christine M. Micheel, Sharyl J. Nass, and Gilbert S. Omenn, editors ; Institutes of Medicine of the National Academies
| Evolution of translational omics [[electronic resource] ] : lessons learned and the path forward / / Committee on the Review of Omics-Based Tests for Predicting Patient Outcomes in Clinical Trials; Board on Health Care Services; Board on Health Sciences Policy ; Christine M. Micheel, Sharyl J. Nass, and Gilbert S. Omenn, editors ; Institutes of Medicine of the National Academies |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Washington, D.C., : National Academies Press, c2012 |
| Descrizione fisica | 1 online resource (338 p.) |
| Disciplina | 572.33 |
| Altri autori (Persone) |
MicheelChristine
NassSharyl J OmennGilbert S |
| Soggetto topico |
Genomics - Technology
Genomics - Data processing Genetic translation - Technology Biomolecules - Analysis Biomolecules - Data processing Bioinformatics - Technology Biotechnology Data mining - Analysis |
| ISBN |
1-283-63640-9
0-309-22419-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
""Front Matter""; ""Reviewers""; ""Acknowledgments""; ""Contents""; ""Boxes, Figures, and Tables""; ""Summary""; ""1 Introduction""; ""2 Omics-Based Clinical Discovery: Science, Technology, and Applications""; ""3 Best Practices for Omics-Based Test Validation Prior to Use for Patient Management Decisions in a Clinical Trial Setting""; ""4 Evaluation of Omics-Based Tests for Clinical Utility and Use""; ""5 Responsible Parties""; ""6 Lessons from the Case Studies""; ""Appendix A: Case Studies""
""Appendix B: Gene Expression Based Tests Developed at Duke University and Used in Clinical Trials""""Appendix C: Introduction to Biomarkers""; ""Appendix D: Reporting Guidelines""; ""Appendix E: Committee Member and Staff Biographies""; ""Appendix F: Information Gathering Sessionsand Speakers""; ""Acronyms and Abbreviations""; ""Glossary"" |
| Record Nr. | UNINA-9910824943803321 |
| Washington, D.C., : National Academies Press, c2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Exploring the human plasma proteome [[electronic resource] /] / edited by Gilbert S. Omenn
| Exploring the human plasma proteome [[electronic resource] /] / edited by Gilbert S. Omenn |
| Pubbl/distr/stampa | Weinheim, : Wiley-VCH, c2006 |
| Descrizione fisica | 1 online resource (396 p.) |
| Disciplina | 572.6 |
| Altri autori (Persone) | OmennGilbert S |
| Soggetto topico |
Proteomics
Molecular biology |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-280-72295-9
9786610722952 3-527-60948-2 3-527-60942-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Exploring the Human Plasma Proteome; Table of Contents; Preface; List of Contributors; 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; 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 specimens1.4.1 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 circulation1.5 Discussion; 1.6 References; 2 Data management and preliminary data analysis in the pilot phase of the HUPO Plasma Proteome Project; 2.1 Introduction; 2.2 Materials and methods; 2.2.1 Development of the data model; 2.2.1.1 Laboratory; 2.2.1.2 Experimental protocol; 2.2.1.3 Protein identification data set; 2.2.1.4 Peak list; 2.2.1.5 Summary of technologies and resources; 2.2.1.6 MS/MS spectra; 2.2.1.7 SELDI peak list; 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 level2.4 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 HUPO Plasma Proteome Project specimen collection and handling: Towards the standardization of parameters for plasma proteome samples; 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 analysis3.2.4 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; 3.3.1.1 Analysis of serum; 3.3.1.2 Analysis of plasma; 3.3.2 Evaluation of storage and handling conditions 3.3.3 Evaluations of the use of protease inhibitors |
| Record Nr. | UNINA-9910144560803321 |
| Weinheim, : Wiley-VCH, c2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Exploring the human plasma proteome [[electronic resource] /] / edited by Gilbert S. Omenn
| Exploring the human plasma proteome [[electronic resource] /] / edited by Gilbert S. Omenn |
| Pubbl/distr/stampa | Weinheim, : Wiley-VCH, c2006 |
| Descrizione fisica | 1 online resource (396 p.) |
| Disciplina | 572.6 |
| Altri autori (Persone) | OmennGilbert S |
| Soggetto topico |
Proteomics
Molecular biology |
| ISBN |
1-280-72295-9
9786610722952 3-527-60948-2 3-527-60942-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Exploring the Human Plasma Proteome; Table of Contents; Preface; List of Contributors; 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; 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 specimens1.4.1 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 circulation1.5 Discussion; 1.6 References; 2 Data management and preliminary data analysis in the pilot phase of the HUPO Plasma Proteome Project; 2.1 Introduction; 2.2 Materials and methods; 2.2.1 Development of the data model; 2.2.1.1 Laboratory; 2.2.1.2 Experimental protocol; 2.2.1.3 Protein identification data set; 2.2.1.4 Peak list; 2.2.1.5 Summary of technologies and resources; 2.2.1.6 MS/MS spectra; 2.2.1.7 SELDI peak list; 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 level2.4 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 HUPO Plasma Proteome Project specimen collection and handling: Towards the standardization of parameters for plasma proteome samples; 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 analysis3.2.4 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; 3.3.1.1 Analysis of serum; 3.3.1.2 Analysis of plasma; 3.3.2 Evaluation of storage and handling conditions 3.3.3 Evaluations of the use of protease inhibitors |
| Record Nr. | UNINA-9910830479803321 |
| Weinheim, : Wiley-VCH, c2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Exploring the human plasma proteome [[electronic resource] /] / edited by Gilbert S. Omenn
| Exploring the human plasma proteome [[electronic resource] /] / edited by Gilbert S. Omenn |
| Pubbl/distr/stampa | Weinheim, : Wiley-VCH, c2006 |
| Descrizione fisica | 1 online resource (396 p.) |
| Disciplina | 572.6 |
| Altri autori (Persone) | OmennGilbert S |
| Soggetto topico |
Proteomics
Molecular biology |
| ISBN |
1-280-72295-9
9786610722952 3-527-60948-2 3-527-60942-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Exploring the Human Plasma Proteome; Table of Contents; Preface; List of Contributors; 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; 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 specimens1.4.1 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 circulation1.5 Discussion; 1.6 References; 2 Data management and preliminary data analysis in the pilot phase of the HUPO Plasma Proteome Project; 2.1 Introduction; 2.2 Materials and methods; 2.2.1 Development of the data model; 2.2.1.1 Laboratory; 2.2.1.2 Experimental protocol; 2.2.1.3 Protein identification data set; 2.2.1.4 Peak list; 2.2.1.5 Summary of technologies and resources; 2.2.1.6 MS/MS spectra; 2.2.1.7 SELDI peak list; 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 level2.4 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 HUPO Plasma Proteome Project specimen collection and handling: Towards the standardization of parameters for plasma proteome samples; 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 analysis3.2.4 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; 3.3.1.1 Analysis of serum; 3.3.1.2 Analysis of plasma; 3.3.2 Evaluation of storage and handling conditions 3.3.3 Evaluations of the use of protease inhibitors |
| Record Nr. | UNINA-9910840763703321 |
| Weinheim, : Wiley-VCH, c2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||