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Record Nr. |
UNINA9910141482703321 |
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Autore |
Eidhammer Ingvar |
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Titolo |
Computational and statistical methods for protein quantification by mass spectrometry [[electronic resource] /] / Ingvar Eidhammer ... [et al.] |
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Pubbl/distr/stampa |
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Chichester, West Sussex, U.K., : John Wiley & Sons Inc., 2013 |
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ISBN |
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1-118-49404-0 |
1-299-18826-5 |
1-118-49378-8 |
1-118-49377-X |
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Descrizione fisica |
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1 online resource (356 p.) |
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Altri autori (Persone) |
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BarsnesHarald |
EideGeir Egil |
MartensLennart |
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Disciplina |
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Soggetti |
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Proteomics - Statistical methods |
Mass spectrometry - Data processing |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Computational and Statistical Methods for Protein Quantification by Mass Spectrometry; Contents; Preface; Terminology; Acknowledgements; 1 Introduction; 1.1 The composition of an organism; 1.1.1 A simple model of an organism; 1.1.2 Composition of cells; 1.2 Homeostasis, physiology, and pathology; 1.3 Protein synthesis; 1.4 Site, sample, state, and environment; 1.5 Abundance and expression - protein and proteome profiles; 1.5.1 The protein dynamic range; 1.6 The importance of exact specification of sites and states; 1.6.1 Biological features; 1.6.2 Physiological and pathological features |
1.6.3 Input features1.6.4 External features; 1.6.5 Activity features; 1.6.6 The cell cycle; 1.7 Relative and absolute quantification; 1.7.1 Relative quantification; 1.7.2 Absolute quantification; 1.8 In vivo and in vitro experiments; 1.9 Goals for quantitative protein experiments; 1.10 Exercises; 2 Correlations of mRNA and protein abundances; 2.1 Investigating the correlation; 2.2 Codon bias; 2.3 Main results from |
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experiments; 2.4 The ideal case for mRNA-protein comparison; 2.5 Exploring correlation across genes; 2.6 Exploring correlation within one gene; 2.7 Correlation across subsets |
2.8 Comparing mRNA and protein abundances across genes from two situations2.9 Exercises; 2.10 Bibliographic notes; 3 Protein level quantification; 3.1 Two-dimensional gels; 3.1.1 Comparing results from different experiments - DIGE; 3.2 Protein arrays; 3.2.1 Forward arrays; 3.2.2 Reverse arrays; 3.2.3 Detection of binding molecules; 3.2.4 Analysis of protein array readouts; 3.3 Western blotting; 3.4 ELISA - Enzyme-Linked Immunosorbent Assay; 3.5 Bibliographic notes; 4 Mass spectrometry and protein identification; 4.1 Mass spectrometry; 4.1.1 Peptide mass fingerprinting (PMF) |
4.1.2 MS/MS - tandem MS4.1.3 Mass spectrometers; 4.2 Isotope composition of peptides; 4.2.1 Predicting the isotope intensity distribution; 4.2.2 Estimating the charge; 4.2.3 Revealing isotope patterns; 4.3 Presenting the intensities - the spectra; 4.4 Peak intensity calculation; 4.5 Peptide identification by MS/MS spectra; 4.5.1 Spectral comparison; 4.5.2 Sequential comparison; 4.5.3 Scoring; 4.5.4 Statistical significance; 4.6 The protein inference problem; 4.6.1 Determining maximal explanatory sets; 4.6.2 Determining minimal explanatory sets; 4.7 False discovery rate for the identifications |
4.7.1 Constructing the decoy database4.7.2 Separate or composite search; 4.8 Exercises; 4.9 Bibliographic notes; 5 Protein quantification by mass spectrometry; 5.1 Situations, protein, and peptide variants; 5.1.1 Situation; 5.1.2 Protein variants - peptide variants; 5.2 Replicates; 5.3 Run - experiment - project; 5.3.1 LC-MS/MS run; 5.3.2 Quantification run; 5.3.3 Quantification experiment; 5.3.4 Quantification project; 5.3.5 Planning quantification experiments; 5.4 Comparing quantification approaches/methods; 5.4.1 Accuracy; 5.4.2 Precision; 5.4.3 Repeatability and reproducibility |
5.4.4 Dynamic range and linear dynamic range |
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Sommario/riassunto |
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The definitive introduction to data analysis in quantitative proteomics This book provides all the necessary knowledge about mass spectrometry based proteomics methods and computational and statistical approaches to pursue the planning, design and analysis of quantitative proteomics experiments. The author's carefully constructed approach allows readers to easily make the transition into the field of quantitative proteomics. Through detailed descriptions of wet-lab methods, computational approaches and statistical tools, this book covers the full scope of a quantitative experim |
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2. |
Record Nr. |
UNINA9910786902803321 |
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Autore |
Söchting Ingrid |
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Titolo |
Cognitive behavioral group therapy : challenges and opportunities / / Ingrid Söchting |
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Pubbl/distr/stampa |
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West Sussex, England : , : Wiley-Blackwell, , 2014 |
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©2014 |
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ISBN |
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1-118-51033-X |
1-118-51026-7 |
1-118-51027-5 |
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Descrizione fisica |
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1 online resource (388 p.) |
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Disciplina |
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Soggetti |
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Cognitive therapy |
Group psychotherapy |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and indexes. |
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Nota di contenuto |
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Cognitive Behavioral Group Therapy: Challenges and Opportunities; Copyright; Contents; About the Author; Acknowledgments; Introduction: The Depth and Breadth of Cognitive Behavior Group Therapy; Part 1 The Basics of Cognitive Behavioral Group Therapy; Chapter 1 Extending CBT to Groups; Why CBT Is Increasingly Used for Common Mental Health Problems; Principles of CBT; Cost-Effectiveness of CBT; Transporting Individual CBT to a Group Setting; Adapting CBT to CBGT: panic disorder illustration; Managing the group process across CBGT; Unique Benefits of the Group Format; How to Start a CBT Group |
Setting up the group roomThe first session; Absences and being late; Confidentiality and socializing outside the group; Member introductions; Expectations for CBGT commitment; Note-taking by CBGT therapists; Subsequent sessions; Summary; Notes; Recommended Readings for Clinicians; References; Chapter 2 Working with Process and Content; Process and Content in Group Therapy; Group Process in Theory; Group Process in Practice: Obsessive-Compulsive Disorder Illustration; Instillation of hope; Universality; Imitative behavior and |
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peer modeling; Imparting of information; Altruism |
Group cohesivenessExistential factors; Catharsis; Interpersonal learning and new ways of socializing; Experiencing the group as similar to one's family of origin; Group process research and CBGT application; Scott's General Group Therapeutic Skills Rating Scale; Summary; Note; Recommended Readings for Clinicians; References; Chapter 3 Effectiveness of CBGT Compared to Individual CBT: Research Review; Depression; Social Anxiety Disorder (SAD); Obsessive-Compulsive Disorder (OCD); Generalized Anxiety Disorder (GAD); Panic Disorder; Posttraumatic Stress Disorder (PTSD); Addictions; Psychosis |
HoardingLanguage and Culture; What to Take Away from the Research Findings; Summary; References; Chapter 4 CBGT for Depression: Psychoeducation and Behavioral Interventions; The Diagnoses of Depression; Treatment Protocols Informed by Beck's Cognitive Model of Depression; An Example of a CBGT Depression Protocol; Psychoeducation; Behavioral Interventions; Focus on Emotions in Preparation for the Thought Records; Capitalizing on the Group in CBGT for Depression; Summary; Notes; Recommended Readings for Clinicians; References |
Chapter 5 CBGT for Depression: Cognitive Interventions and Relapse PreventionThe Thought Record in a Group; Other Cognitive Interventions; Testing assumptions; Testing core beliefs; Behavioral experiments; CBGT Psychodrama; Relapse Prevention; Mindfulness-Based Cognitive Therapy (MBCT); Summary; Note; Recommended Readings for Clinicians; References; Part 2 Challenges of Cognitive Behavioral Group Therapy; Chapter 6 How to "Sell" CBGT, Prevent Dropouts, and Evaluate Outcomes; Drawing People into CBGT; Preparing Clients for CBGT; Individual pregroup orientation; Group pregroup orientation |
Rapid access group orientation |
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Sommario/riassunto |
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With coverage of the latest theory and research, this is a complete guide to implementing cognitive behavioral group therapy for practitioners and trainees in a range of mental health disciplines. Presents evidence-based protocols for depression, panic, social anxiety, generalized anxiety, posttraumatic stress, OCD, compulsive hoarding, psychosis, and addictionProvides innovative solutions for achieving efficient, effective therapy as mandated by emerging health care priorities, as well as trouble-shoots for common problems such as dropoutsDetails unique strategies for working with ethnic |
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