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Gene Discovery for Disease Models

  • ID: 1877842
  • Book
  • 552 Pages
  • John Wiley and Sons Ltd
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New concepts in gene discovery in the post–genome era

The completion of human and other genome sequencing, along with other new technologies, such as mutation analysis and microarray, has dramatically accelerated progress in the positional cloning of genes from mutated models. Gene Discovery for Disease Models provides readers with a comprehensive understanding of the new concepts and protocols implemented in gene discovery in the present post–genome era.

Backed by sound scientific findings, this informative guide not only provides a systematic introduction to the available resources and technologies for gene discovery but, most importantly, teaches readers how to use all the available tools and data to find new mutated genes. Its comprehensive coverage:

  • Provides a detailed description of positional cloning and genomic cloning

  • Identifies genes of human disease and animal models

  • Suggests new paradigms for mutation discovery in the post–genome era

  • Describes new concepts in gene discovery in the post–genome era and the use of streamlined protocols to identify genes of interest

Gene Discovery for Disease Models helps researchers to not only understand the current concepts and technologies, but also learn how to take advantage of these new resources and technologies in the future and adapt to emerging new discoveries in the genetic sciences. This book can be used as a handbook for gene cloning and discovery, as well as a reference book for teachers and students in the fields of genetics and biology.

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1. Gene Discovery: From Positional Cloning to Genomic Cloning (Weikuan Gu and Daniel Goldowitz).

2. High–Throughput Gene Expression Analysis and the Identification of Expression QTLs (Rudi Alberts and Klaus Schughart).

3. DNA Methylation in the Pathogenesis of Autoimmunity (Xueqing Xu, Ping Yang, Zhang Shu, Yun Bai, and Cong–Yi Wang).

4. Cell–Based Analysis with Microfl uidic Chip (Wang Qi and Zhao Long).

5. Missing Dimension: Protein Turnover Rate Measurement in Gene Discovery (Gary Guishan Xiao).

6. Bioinformatics Tools for Gene Function Prediction (Yan Cui).

7. Determination of Genomic Locations of Target Genetic Loci (Bo Chang).

8. Mutation Discovery Using High–Throughput Mutation Screening Technology (Kai Li, Hanlin Gao, Hong–Guang Xie, Wanping Sun, and Jia Zhang).

9. Candidate Screening through Gene Expression Profile (Michal Korostynski).

10. Candidate Screening through High–Density SNP Array (Ching–Wan Lam and Kin–Chong Lau).

11. Gene Discovery by Direct Genome Sequencing (Kunal Ray, Arijit Mukhopadhyay, and Mainak Sengupta).

12. Candidate Screening through Bioinformatics Tools (Song Wu and Wei Zhao).

13. Using an Integrative Strategy to Identify Mutations (Yan Jiao and Weikuan Gu).

14. Determination of the Function of a Mutation (Bouchra Edderkaoui).

15. Confi rmation of a Mutation by Multiple Molecular Approaches (Hector Martinez–Valdez and Blanca Ortiz–Quintero).

16. Confi rmation of a Mutation by MicroRNA (Hongwei Zheng and Yongjun Wang).

17. Confi rmation of Gene Function Using Translational Approaches (Caroline J. Zeiss).

18. Confi rmation of Single Nucleotide Mutations (Jochen Graw).

19. Initial Identifi cation and Confi rmation of a QTL Gene (David C. Airey and Chun Li).

20. Gene Discovery of Crop Disease in the Postgenome Era (Yulin Jia).

21. Impact of Genomewide Structural Variation on Gene Discovery (Lisenka E.L.M. Vissers and Joris A. Veltman).

22. Impact of Whole Genome Protein Analysis on Gene Discovery of Disease Models (Sheng Zhang, Yong Yang, and Theodore W. Thannhauser).


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Weikuan Gu
Yongjun Wang
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