Functional genomics and proteomics in the clinical neurosciences [electronic resource] / edited by S.E. Hemby, S. Bahn.

Amsterdam ; Oxford : Elsevier, 2006.
1 online resource (329 p.)
Progress in brain research ; v. 158.
Progress in brain research ; v. 158

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Neurogenetics -- Methodology.
Proteomics -- Methodology.
Nervous system -- Diseases -- Genetic aspects.
Electronic books.
The purpose of this work is to familiarize neuroscientists with the available tools for proteome research and their relative abilities and limitations. To know the identities of the thousands of different proteins in a cell, and the modifications to these proteins, along with how the amounts of both of these change in different conditions would revolutionize biology and medicine. While important strides are being made towards achieving the goal of global mRNA analysis, mRNA is not the functional endpoint of gene expression and mRNA expression may not directly equate with protein expression. Th
Cover; Functional Genomics and Proteomics in the Clinical Neurosciences; Copyright Page; List of Contributors; Foreword; Contents; Section I: Methodologies; Chapter 1: Tissue preparation and banking; Introduction; Identifying subjects; Collection and harvesting tissue; Documenting; RNA integrity; Protein integrity; Conclusions; References; Chapter 2: Functional genomic methodologies; Introduction; Input sources of RNA; Gene expression profiling: toward an informed choice; Level of sensitivity to detect the molecules of interest; Magnitude of expression-level changes in the brain
Minimum starting material for functional genomic analysisVerification of expression-profiling analysis; Conventional methods of analyzing gene expression: Northern hybridization; qPCR; Serial analysis of gene expression (SAGE); Massive parallel signature sequencing (MPSS); Total analysis of gene expression (TOGA); Sequencing by hybridization (SBH); Microarray platforms; Analyzing massive datasets; Regional and single cell assessment; RNA amplification strategies: aRNA amplification; Additional considerations; Conclusions; Acknowledgements; References
Chapter 3: Methods for proteomics in neuroscienceIntroduction; Subcellular fractionation; Expression proteomics; Functional proteomics; Mass spectrometry; Protein arrays; Conclusion; References; Chapter 4: Functional genomics and proteomics in the clinical neurosciences: data mining and bioinformatics; Introduction; Experimental methods; Data analysis; Statistical analysis and pattern classification; Microarray case study; Interpretation and validation; Acknowledgments; References; Chapter 5: Reproducibility of microarray studies: concordance of current analysis methods; Introduction
The data analysis pipelineAssessment of data quality; Performance comparison; Validation; Implications for data mining; Summary and conclusions; References; Section II: Applications of Genomics and Proteomic Technologies to Clinical Neuroscience; Chapter 6: The genomics of mood disorders; Introduction; Genetics of mood disorders: the progress; Neurobiological and neuroanatomical substrates of severe mood disorders; The pathophysiology of severe mood disorders: insights from recent gene profiling studies; Clues from animal models; Concluding remarks; Acknowledgments; References
Chapter 7: Transcriptome alterations in schizophrenia: disturbing the functional architecture of the dorsolateral prefrontal cortexDysfunction of the DLPFC in schizophrenia; Types of transcriptome alterations in the DLPFC in schizophrenia; Causes of transcriptome alterations in the DLPFC in schizophrenia; Consequences of transcriptome alterations in the DLPFC in schizophrenia; Conclusions; Acknowledgments; References; Chapter 8: Strategies for improving sensitivity of gene expression profiling: regulation of apoptosis in the limbic lobe of schizophrenics and bipolars; Introduction
Includes index.
Hemby, S. E.
Bahn, Sabine.