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MORE ABOUT THIS BOOK
Main description:
This volume of Methods in Molecular Biology focuses on techniques to determine the function of a gene. Traditionally, the function of a gene was determined following cloning, which provided its DNA sequence and an ab- ity to modify this sequence. Experiments were performed that looked for p- notypic changes in a cell line or model organism following modifications to the sequence, knocking out of the gene, or enhancing expression of the gene. In the 1990’s, the growing sequence databases and the BLAST algorithm provided additional power by allowing identification of genes with known function that had similar sequences and potentially similar molecular mechanisms. On the experimental side, methods, such as two-hybrid screening that could directly determine the partners of specific proteins and even the domains of interaction, came into widespread use. With the advent of high-throughput technologies following completion of the human genome project and similar projects in model organisms, the n- ber of genes of interest has expanded and the traditional methods for gene fu- tion analysis cannot achieve the throughput necessary for large-scale exploration. Although computational tools such as BLAST remain a good point of departure, it is often the case that a gene that appears interesting in a hi- throughput experiment shows no obvious similarity to a gene of known fu- tion. In addition, when BLAST does find a similar gene, the process has often only begun.
Feature:
Brings together a number of techniques, both computational and biological, that have developed recently for looking at gene function
Contains Notes sections with troubleshooting guides
Easy-to-follow laboratory methods and protocols
Back cover:
With the advent of high-throughput technologies, the number of genes of interest has expanded and the traditional methods for gene function analysis cannot achieve the throughput necessary for large-scale exploration. In Gene Function Analysis, a select team of experts bring together a number of recently developed techniques for studying gene function. The volume begins with a variety of computational techniques, which provide an excellent point of departure for the cutting-edge experimental methods that follow. Written in the highly successful Methods in Molecular Biology™ series format, each chapter surveys its subject with readily reproducible laboratory protocols, a list of the necessary materials, and the popular Notes section, which contains tips for troubleshooting and avoiding known pitfalls.
Comprehensive and timely, Gene Function Analysis offers researchers a clear guide and the important tools they need to further study the intricate human genome.
Contents:
Methods in Molecular Biology: Gene Function Analysis
Table of Contents
Computational Methods I
1 Gene function inference from gene expression of deletion mutants
Ghislain Bidaut
2 Association analysis for large scale gene set data
Stefan Kirov, Bing Zhang, Jay Snoddy
3 Estimating Gene Function with Least Squares Nonnegative Matrix
Factorization
Guoli Wang and Michael F. Ochs
4 From Promoter Analysis to Transcriptional Regulatory Network
Prediction Using PAINT
Gregory E. Gonye, Praveen Chakravarthula, James S. Schwaber,
Rajanikanth Vadigepalli
5 Prediction of Intrinsic Disorder and its Use in Functional Proteomics
Vladimir N. Uversky, Predrag Radivojac, Lilia M. Iakoucheva, Zoran
Obradovic, A. Keith Dunker
Computational Methods II
6 Sybil: Methods and Software for Multiple Genome Comparison and
Visualization
Jonathan Crabtree, Samuel V. Angiuoli, Jennifer R. Wortman, Owen White
7 Estimating protein function using protein-protein relationships
Shailesh V. Date
8 Bioinformatics tools for modeling transcription factor target genes
and epigenetic changes
Ramana V. Davuluri
9 Mining Biomedical Data Using MetaMap Transfer (MMTx) and the Unified
Medical Language System (UMLS)
John D. Osborne, Simon Lin, Lihua (Julie) Zhu, Warren A. Kibbe
10 Statistical Methods for Identifying Differentially Expressed Gene
Combinations
Yen-Yi Ho, Leslie Cope, Marcel Dettling, Giovanni Parmigiani
Experimental Methods
11 Gene Function Analysis using the chicken B-cell Line DT40
Randolph B Caldwell, Petra Fiedler, Ulrike Schoetz and Jean-Marie
Buerstedde
12 Design and application of an shRNA-based gene replacement retrovirus.
Rugang Zhang, Peter D. Adams and Xiaofen Ye
13 Construction of simple and efficient DNA vector-based short hairpin
RNA
expression systems for specific gene silencing in mammalian cells
Tsung-Lin Cheng a and Wen-Tsan Chang
14 Selection of recombinant antibodies from antibody gene libraries
Michael Hust, Stefan Dübel and Thomas Schirrmann
15 A bacterial/yeast merged two-hybrid system: protocol for yeast
screening with single or parallel baits.
Nadezhda Tikhmyanova, Eugene Izumchenko, Ilya G. Serebriiskii, Erica A.
Golemis
16 A bacterial/yeast merged two-hybrid system: protocol for bacterial
screening
Ilya G. Serebriiskii, Nadia Milech, Erica A. Golemis
17 Engineering Cys2His2 Zinc Finger Domains using a Bacterial
Cell-Based Two-Hybrid Selection System
Stacey Thibodeau-Beganny and J. Keith Joung
PRODUCT DETAILS
Publisher: Springer (Humana Press)
Publication date: August, 2007
Pages: 337
Weight: 701g
Availability: Not available (reason unspecified)
Subcategories: Biochemistry, Genetics
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CUSTOMER REVIEWS
From the reviews:
"‘Gene Function Analysis’ is volume 408 of the ‘Methods in Molecular Biology’ series. The aim of the book is to provide both in silico and laboratory methods for the functional analysis of the large amount of gene expression data generated from high throughput technologies such as microarrays. … This book would certainly be a useful addition to a laboratory interested in assessing gene function through both bioinformatic and ‘wet’ approaches. Definitely one for the more (toxico)genomically challenged amongst us." (James Sidaway, British Toxicology Society Newsletter, Summer, 2008)