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Using high-density exon arrays to profile gene expression in closely related species
Global comparisons of gene expression profiles between species provide significant insight into gene regulation, evolutionary processes and disease mechanisms. In this work, we describe a flexible and intuitive approach for global expression profiling of closely related species, using high-density e...
Autores principales: | , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2709591/ https://www.ncbi.nlm.nih.gov/pubmed/19474342 http://dx.doi.org/10.1093/nar/gkp420 |
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author | Lin, Lan Liu, Song Brockway, Heather Seok, Junhee Jiang, Peng Wong, Wing Hung Xing, Yi |
author_facet | Lin, Lan Liu, Song Brockway, Heather Seok, Junhee Jiang, Peng Wong, Wing Hung Xing, Yi |
author_sort | Lin, Lan |
collection | PubMed |
description | Global comparisons of gene expression profiles between species provide significant insight into gene regulation, evolutionary processes and disease mechanisms. In this work, we describe a flexible and intuitive approach for global expression profiling of closely related species, using high-density exon arrays designed for a single reference genome. The high-density probe coverage of exon arrays allows us to select identical sets of perfect-match probes to measure expression levels of orthologous genes. This eliminates a serious confounding factor in probe affinity effects of species-specific microarray probes, and enables direct comparisons of estimated expression indexes across species. Using a newly designed Affymetrix exon array, with eight probes per exon for approximately 315 000 exons in the human genome, we conducted expression profiling in corresponding tissues from humans, chimpanzees and rhesus macaques. Quantitative real-time PCR analysis of differentially expressed candidate genes is highly concordant with microarray data, yielding a validation rate of 21/22 for human versus chimpanzee differences, and 11/11 for human versus rhesus differences. This method has the potential to greatly facilitate biomedical and evolutionary studies of gene expression in nonhuman primates and can be easily extended to expression array design and comparative analysis of other animals and plants. |
format | Text |
id | pubmed-2709591 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-27095912009-07-14 Using high-density exon arrays to profile gene expression in closely related species Lin, Lan Liu, Song Brockway, Heather Seok, Junhee Jiang, Peng Wong, Wing Hung Xing, Yi Nucleic Acids Res Methods Online Global comparisons of gene expression profiles between species provide significant insight into gene regulation, evolutionary processes and disease mechanisms. In this work, we describe a flexible and intuitive approach for global expression profiling of closely related species, using high-density exon arrays designed for a single reference genome. The high-density probe coverage of exon arrays allows us to select identical sets of perfect-match probes to measure expression levels of orthologous genes. This eliminates a serious confounding factor in probe affinity effects of species-specific microarray probes, and enables direct comparisons of estimated expression indexes across species. Using a newly designed Affymetrix exon array, with eight probes per exon for approximately 315 000 exons in the human genome, we conducted expression profiling in corresponding tissues from humans, chimpanzees and rhesus macaques. Quantitative real-time PCR analysis of differentially expressed candidate genes is highly concordant with microarray data, yielding a validation rate of 21/22 for human versus chimpanzee differences, and 11/11 for human versus rhesus differences. This method has the potential to greatly facilitate biomedical and evolutionary studies of gene expression in nonhuman primates and can be easily extended to expression array design and comparative analysis of other animals and plants. Oxford University Press 2009-07 2009-05-27 /pmc/articles/PMC2709591/ /pubmed/19474342 http://dx.doi.org/10.1093/nar/gkp420 Text en © 2009 The Author(s) http://creativecommons.org/licenses/by-nc/2.0/uk/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Methods Online Lin, Lan Liu, Song Brockway, Heather Seok, Junhee Jiang, Peng Wong, Wing Hung Xing, Yi Using high-density exon arrays to profile gene expression in closely related species |
title | Using high-density exon arrays to profile gene expression in closely related species |
title_full | Using high-density exon arrays to profile gene expression in closely related species |
title_fullStr | Using high-density exon arrays to profile gene expression in closely related species |
title_full_unstemmed | Using high-density exon arrays to profile gene expression in closely related species |
title_short | Using high-density exon arrays to profile gene expression in closely related species |
title_sort | using high-density exon arrays to profile gene expression in closely related species |
topic | Methods Online |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2709591/ https://www.ncbi.nlm.nih.gov/pubmed/19474342 http://dx.doi.org/10.1093/nar/gkp420 |
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