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Getting more from whole-transcript microarrays
May 22, 2009
The widely-used Affymetrix Whole-Transcript Gene 1.0 ST (sense target) microarray platform, normally used to assay gene expression, can also be utilized to interrogate exon-specific splicing. Research published today in the open access journal BMC Bioinformatics shows scientists how to monitor alternative splicing activity on a genome-wide scale, without investing in new exon microarray technologies. Alternative splicing produces a variety of mRNA transcripts from a single gene by splicing together different combinations of exons, which can give rise to alternative protein forms that are functionally distinct. Almost 90% of human genes are now considered to exhibit alternative splicing and to meet the demand to analyze this on a genome-wide scale, Affymetrix have developed their Exon 1.0 ST platform. However, this study by Mark Robinson and Terence Speed from the University of Melbourne and the Walter and Eliza Hall Institute of Medical Research in Australia suggests that the Gene platform can also do the job.
The scientists explored a publicly available dataset of 11 human tissues that were analyzed on both the Affymetrix Gene 1.0 ST and the Affymetrix Exon 1.0 ST chips. Robinson said, "Our intention was not to provide a detailed comparison between those platforms and to suggest that the Gene array should be used as a replacement for the Exon arrays. We simply wanted to demonstrate that researchers could get information about differential splicing from the Gene platform in certain circumstances at no additional experimental cost. We, therefore, provide added value to their collected data."
The authors acknowledge that the ability to detect differential splicing depends on various factors, including the number of probes covering the gene and the nature of the splicing event. They constructed a new statistical method, called FIRMAGene, that uses information about adjacent poorly fitting probes to calculate differential expression in the Gene arrays and showed that it provides comparable results to the Exon array analysis. The approach can only be used in well-annotated genes and can detect differential splicing involving multiple exons. However, they suggested that it should work particularly well for genes containing few exons, since for these genes the coverage of probes in the Gene platform can be greater than the Exon platform.
Dr Robinson added that, "To the best of our knowledge, this is the first statistical method that interrogates differential splicing using the Gene 1.0 ST platform. We have used this method for uncovering differential splicing in human tissues, where typically a small number of tissues exhibit a distinct pattern. However, we believe it could be useful in a variety of experimental settings." FIRMAGene can be applied to human, mouse and rat samples, for which the latest Affymetrix Gene 1.0 ST platforms are available, or any other whole-transcript microarray design.
BioMed Central
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Microarray Technology in Practice
by Steve Russell (Author), Lisa A. Meadows (Author), Roslin R. Russell (Author)
Description Using chips composed of thousands of spots, each with the capability of holding DNA molecules corresponding to a given gene, DNA microarray technology has enabled researchers to measure simultaneously gene expression across the genome. As with other large scale genomics approaches, microarray technologies are broadly applicable across disciplines of life and biomedical sciences, but remain daunting to many researchers. This guide is designed to demystify the technology and inform more biologists about this critically important experimental technique.
Cohesive overview of the technology and available platforms, followed by detailed discussion of experimental design and analysis of microarray experiments
Up-to-date...
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Microarray Gene Expression Data Analysis: A Beginner's Guide
by Helen Causton (Author), John Quackenbush (Author), Alvis Brazma (Author)
This guide covers aspects of designing microarray experiments and analysing the data generated, including information on some of the tools that are available from non-commercial sources. Concepts and principles underpinning gene expression analysis are emphasised and wherever possible, the mathematics has been simplified. The guide is intended for use by graduates and researchers in bioinformatics and the life sciences and is also suitable for statisticians who are interested in the approaches currently used to study gene expression. Microarrays are an automated way of carrying out thousands of experiments at once, and allows scientists to obtain huge amounts of information very quickly Short, concise text on this difficult topic area Clear illustrations throughout ...
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Data Analysis Tools for DNA Microarrays
by Sorin Draghici (Author)
Technology today allows the collection of biological information at an unprecedented level of detail and in increasingly vast quantities. To reap real knowledge from the mountains of data produced, however, requires interdisciplinary skills-a background not only in biology but also in computer science and the tools and techniques of data analysis.To help meet the challenges of DNA research, Data Analysis Tools for DNA Microarrays builds the foundation in the statistics and data analysis tools needed by biologists and provides the overview of microarrays needed by computer scientists. It first presents the basics of microarray technology and more importantly, the specific problems the technology poses from the data analysis perspective. It then introduces the fundamentals of statistics and...
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Microarrays for an Integrative Genomics (Computational Molecular Biology)
by Isaac S. Kohane (Author), Alvin Kho (Author), Atul J. Butte (Author)
Functional genomics—the deconstruction of the genome to determine the biological function of genes and gene interactions—is one of the most fruitful new areas of biology. The growing use of DNA microarrays allows researchers to assess the expression of tens of thousands of genes at a time. This quantitative change has led to qualitative progress in our ability to understand regulatory processes at the cellular level. This book provides a systematic introduction to the use of DNA microarrays as an investigative tool for functional genomics. The presentation is appropriate for readers from biology or bioinformatics. After presenting a framework for the design of microarray-driven functional genomics experiments, the book discusses the foundations for analyzing microarray...
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Microarray Methods and Protocols
by Robert S. Matson (Editor)
A Step-by-Step Guide to Present and Future Uses of Microarray Technology
Microarray technology continues to evolve, taking on a variety of forms. From the spotting of cDNA and the in situ synthesis of oligonucleotide arrays now come microarrays comprising proteins, carbohydrates, drugs, tissues, and cells. With contributions from microarray experts in both academia and industry, Microarray Methods and Protocols is a turn-by-turn roadmap through the processes necessary to perform a successful microarray experiment.
This easy to use book addresses the fundamental aspects of preparing and processing microarrays and bead arrays, labeling, and detection. It also includes a detailed How it Works section that discusses the underlying principles of a...
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Microarray Bioinformatics
by Dov Stekel (Author)
DNA microarrays have revolutionized molecular biology and are becoming a standard tool in the field. Dov Stekel's book is a comprehensive guide to the mathematics, statistics and computing required to use microarrays successfully. Unlike traditional molecular biology, the successful use of DNA microarrays requires the application of statistics and computing to design the arrays and experiments, and to analyze and manage the data. This book is written for researchers, clinicians and laboratory managers.
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Microarray Analysis
by Mark Schena (Author)
This authoritative text begins with an introduction to basic microarray technology. The author then provides clear explanations of the conceptual and theoretical basis of this technology, followed by thorough and multi-disciplinary coverage of modern and emerging applications. The coverage includes chapters on microarray informatics, gene expression profiling, genetic diagnostics, and novel microarray technologies.
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Statistical Analysis of Gene Expression Microarray Data
by Terry Speed (Editor)
Although less than a decade old, the field of microarray data analysis is now thriving and growing at a remarkable pace. Biologists, geneticists, and computer scientists as well as statisticians all need an accessible, systematic treatment of the techniques used for analyzing the vast amounts of data generated by large-scale gene expression studies. And there is arguably no group better qualified to do so than the authors of this book.Statistical Analysis of Gene Expression Microarray Data promises to become the definitive basic reference in the field. Under the editorship of Terry Speed, some of the world's most pre-eminent authorities have joined forces to present the tools, features, and problems associated with the analysis of genetic microarray data. These include::"Model-based...
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DNA Microarrays and Related Genomics Techniques: Design, Analysis, and Interpretation of Experiments (Biostatistics)
by David B. Allison (Editor), Grier P. Page (Editor), T. Mark Beasley (Editor), Jode W. Edwards (Editor)
Considered highly exotic tools as recently as the late 1990s, microarrays are now ubiquitous in biological research. Traditional statistical approaches to design and analysis were not developed to handle the high-dimensional, small sample problems posed by microarrays. In just a few short years the number of statistical papers providing approaches to analyzing microarray data has gone from almost none to hundreds if not thousands. This overwhelming deluge is quite daunting to either the applied investigator looking for methodologies or the methodologist trying to keep up with the field. DNA Microarrays and Related Genomics Techniques: Design, Analysis, and Interpretation of Experiments consolidates discussions of methodological advances into a single volume. The book’s structure...
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Analysis of Microarray Data: A Network-Based Approach
by Frank Emmert-Streib (Editor), Matthias Dehmer (Editor)
This book is the first to focus on the application of mathematical networks for analyzing microarray data. This method goes well beyond the standard clustering methods traditionally used. From the contents: Understanding and Preprocessing Microarray Data Clustering of Microarray Data Reconstruction of the Yeast Cell Cycle by Partial Correlations of Higher Order Bilayer Verification Algorithm Probabilistic Boolean Networks as Models for Gene Regulation Estimating Transcriptional Regulatory Networks by a Bayesian Network Analysis of Therapeutic Compound Effects Statistical Methods for Inference of Genetic Networks and Regulatory Modules Identification of Genetic Networks by Structural Equations Predicting Functional Modules...
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