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Comparing Bioinformatic Gene Expression Profiling Methods: Microarray and RNA-Seq
Understanding the control of gene expression is critical for our understanding of the relationship between genotype and phenotype. The need for reliable assessment of transcript abundance in biological samples has driven scientists to develop novel technologies such as DNA microarray and RNA-Seq to...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
International Scientific Literature, Inc.
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4152252/ https://www.ncbi.nlm.nih.gov/pubmed/25149683 http://dx.doi.org/10.12659/MSMBR.892101 |
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author | Mantione, Kirk J Kream, Richard M. Kuzelova, Hana Ptacek, Radek Raboch, Jiri Samuel, Joshua M. Stefano, George B. |
author_facet | Mantione, Kirk J Kream, Richard M. Kuzelova, Hana Ptacek, Radek Raboch, Jiri Samuel, Joshua M. Stefano, George B. |
author_sort | Mantione, Kirk J |
collection | PubMed |
description | Understanding the control of gene expression is critical for our understanding of the relationship between genotype and phenotype. The need for reliable assessment of transcript abundance in biological samples has driven scientists to develop novel technologies such as DNA microarray and RNA-Seq to meet this demand. This review focuses on comparing the two most useful methods for whole transcriptome gene expression profiling. Microarrays are reliable and more cost effective than RNA-Seq for gene expression profiling in model organisms. RNA-Seq will eventually be used more routinely than microarray, but right now the techniques can be complementary to each other. Microarrays will not become obsolete but might be relegated to only a few uses. RNA-Seq clearly has a bright future in bioinformatic data collection. |
format | Online Article Text |
id | pubmed-4152252 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | International Scientific Literature, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-41522522014-09-04 Comparing Bioinformatic Gene Expression Profiling Methods: Microarray and RNA-Seq Mantione, Kirk J Kream, Richard M. Kuzelova, Hana Ptacek, Radek Raboch, Jiri Samuel, Joshua M. Stefano, George B. Med Sci Monit Basic Res Molecular Biology Understanding the control of gene expression is critical for our understanding of the relationship between genotype and phenotype. The need for reliable assessment of transcript abundance in biological samples has driven scientists to develop novel technologies such as DNA microarray and RNA-Seq to meet this demand. This review focuses on comparing the two most useful methods for whole transcriptome gene expression profiling. Microarrays are reliable and more cost effective than RNA-Seq for gene expression profiling in model organisms. RNA-Seq will eventually be used more routinely than microarray, but right now the techniques can be complementary to each other. Microarrays will not become obsolete but might be relegated to only a few uses. RNA-Seq clearly has a bright future in bioinformatic data collection. International Scientific Literature, Inc. 2014-08-23 /pmc/articles/PMC4152252/ /pubmed/25149683 http://dx.doi.org/10.12659/MSMBR.892101 Text en © Med Sci Monit, 2014 This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License |
spellingShingle | Molecular Biology Mantione, Kirk J Kream, Richard M. Kuzelova, Hana Ptacek, Radek Raboch, Jiri Samuel, Joshua M. Stefano, George B. Comparing Bioinformatic Gene Expression Profiling Methods: Microarray and RNA-Seq |
title | Comparing Bioinformatic Gene Expression Profiling Methods: Microarray and RNA-Seq |
title_full | Comparing Bioinformatic Gene Expression Profiling Methods: Microarray and RNA-Seq |
title_fullStr | Comparing Bioinformatic Gene Expression Profiling Methods: Microarray and RNA-Seq |
title_full_unstemmed | Comparing Bioinformatic Gene Expression Profiling Methods: Microarray and RNA-Seq |
title_short | Comparing Bioinformatic Gene Expression Profiling Methods: Microarray and RNA-Seq |
title_sort | comparing bioinformatic gene expression profiling methods: microarray and rna-seq |
topic | Molecular Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4152252/ https://www.ncbi.nlm.nih.gov/pubmed/25149683 http://dx.doi.org/10.12659/MSMBR.892101 |
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