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MORE ABOUT THIS BOOK
Main description:
The determination of protein function has been a major goal of molecular biology since the founding of the discipline. However, as we learn more about gene function, we discover that the context within which a gene is expressed controls the specific function of that gene. It has become critical to establish the background in which gene function is determined and to perform experiments in multiple applicable backgrounds. In Gene Function Analysis, Second Edition, a number of computational and experimental techniques are presented for identifying not only the function of an individual gene, but also the partners that work with that gene. The theme of data integration runs strongly through the computational techniques, with many focusing on gathering data from different sources and different biomolecular types. Experimental techniques have evolved to determine function in specific tissues and at specific times during development. Written in the successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible protocols, and notes on troubleshooting and avoiding known pitfalls.
Authoritative and easily accessible, Gene Function Analysis, Second Edition seeks to serve both professionals and novices with a growing understanding of the complexity of gene function.
Feature:
Includes cutting-edge methods and protocols
Provides step-by-step detail essential for reproducible results
Contains key notes and implementation advice from the experts
Back cover:
The determination of protein function has been a major goal of molecular biology since the founding of the discipline. However, as we learn more about gene function, we discover that the context within which a gene is expressed controls the specific function of that gene. It has become critical to establish the background in which gene function is determined and to perform experiments in multiple applicable backgrounds. Â In Gene Function Analysis, Second Edition, a number of computational and experimental techniques are presented for identifying not only the function of an individual gene, but also the partners that work with that gene. Â The theme of data integration runs strongly through the computational techniques, with many focusing on gathering data from different sources and different biomolecular types. Experimental techniques have evolved to determine function in specific tissues and at specific times during development. Written in the successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible protocols, and notes on troubleshooting and avoiding known pitfalls.
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Authoritative and easily accessible, Gene Function Analysis, Second Edition seeks to serve both professionals and novices with a growing understanding of the complexity of gene function.
Contents:
Part I. Reviews
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1. The Present State and Future Direction of Integrated Gene Function Analysis
Michael F. Ochs
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Part II. Computational Methods
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2. Performing Integrative Functional Genomics Analysis in GeneWeaver.org
Jeremy J. Jay and Elissa J. Chesler
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3. Functional Annotation of Differentially Regulated Geneset Using WebGestalt: A Geneset Predictive of Response to Ipilimumab in Tumor Biopsies
Stefan Kirov, R. Ji R., J. Wang , and B. Zhang
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4. ÂIntegrative Data-Mining Tools to Link Fene and Function
Basma El Yacoubi and Valérie de Crécy-Lagard
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5. Detection of Driver Protein Complexes in Breast Cancer Metastasis by Large Scale Transcriptome-Interactome Integration
Maxime Garcia, Pascal Finetti, Francois Bertucci, Daniel Birnbaum, and Ghislain Bidaut
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6. Pattern Identification in Time Course Gene Expression Data with the CoGAPS Matrix Factorization
Elana J. Fertig, Genevieve Stein-O’Brien, Andrew Jaffe, and Carlo Colantuoni
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7. Statistical Tools and R Software for Cancer Driver Probabilities
Giovanni Parmigiani, Simina Boca, Jie Ding, and Lorenzo Trippa
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8. Predicting the Functional Consequences of Somatic Missense Mutations Found in Tumors
Hannah Carter and Rachel Karchin
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9. Determining the Effect of DNA Methylation on Gene Expression in Cancer Cells
Chai-Jin Lee, Jared Evans, Kwangsoo Kim, Heejoon Chae, and Sun Kim
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10. Reverse Engineering Transcriptional Gene Network
Vincenzo Belcastro and Diego di Bernardo
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11. Integrating In Silico Resources to Map a Signaling Network
Hanqing Liu, Tim N. Beck, Erica A. Golemis, and Ilya G. Serebriiskii
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Part III. Experimental Methods
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12. A Method for Inducible Gene Over-Expression and Down-Regulation in Emerging Model Species Using Pogostick
Bin Chen and Antónia Monteiro
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13. Construction and Application of Site-specific Artificial Nucleases for Targeted Gene Editing
Fatma O. Kok, Ankit Gupta, Nathan D. Lawson, and Scot A. Wolfe
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14. Selection of Recombinant Antibodies from Antibody Gene Libraries
Michael Hust, André Frenzel, Thomas Schirrmann, and Stefan Dübel
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15. Construction of Simple and Efficient siRNA Validation Systems for Screening and Identification of Effective RNAi-Targeted Sequences from Mammalian Genes
Wen-Hui Tsai and Wen-Tsan Chang
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16. Rapid Genetic Modification of Mouse Embryonic Stem Cells by Inducible Cassette Exchange Recombination
Michelina Iacovino, Megan E. Roth, and Michael Kyba
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17. In Ovo Electroporation of miRNA-Based Plasmids to Investigate Gene Function in the Developing Neural Tube
Irwin Andermatt, Nicole Wilson, and Esther T. Stoeckli
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18. Proteomic Strategies: SILAC and 2D-DIGE - Powerful Tool to Investigate Cellular Alterations
Arundhathi Sriharshan, Omid Azimzadeh, Randolph B. Caldwell, and Soile Tapio
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19. Conditional Gene-Trap Mutagenesis in Zebrafish
Lisette A. Maddison, Mingyu Li, and Wenbiao Chen
PRODUCT DETAILS
Publisher: Springer (Humana Press)
Publication date: November, 2013
Pages: 375
Weight: 1000g
Availability: Not available (reason unspecified)
Subcategories: Genetics
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