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Optimising the analysis of transcript data using high density oligonucleotide arrays and genomic DNA-based probe selection
BACKGROUND: Affymetrix GeneChip arrays are widely used for transcriptomic studies in a diverse range of species. Each gene is represented on a GeneChip array by a probe-set, consisting of up to 16 probe-pairs. Signal intensities across probe-pairs within a probe-set vary in part due to different phy...
Autores principales: | , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2007
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2045678/ https://www.ncbi.nlm.nih.gov/pubmed/17908303 http://dx.doi.org/10.1186/1471-2164-8-344 |
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author | Graham, Neil S Broadley, Martin R Hammond, John P White, Philip J May, Sean T |
author_facet | Graham, Neil S Broadley, Martin R Hammond, John P White, Philip J May, Sean T |
author_sort | Graham, Neil S |
collection | PubMed |
description | BACKGROUND: Affymetrix GeneChip arrays are widely used for transcriptomic studies in a diverse range of species. Each gene is represented on a GeneChip array by a probe-set, consisting of up to 16 probe-pairs. Signal intensities across probe-pairs within a probe-set vary in part due to different physical hybridisation characteristics of individual probes with their target labelled transcripts. We have previously developed a technique to study the transcriptomes of heterologous species based on hybridising genomic DNA (gDNA) to a GeneChip array designed for a different species, and subsequently using only those probes with good homology. RESULTS: Here we have investigated the effects of hybridising homologous species gDNA to study the transcriptomes of species for which the arrays have been designed. Genomic DNA from Arabidopsis thaliana and rice (Oryza sativa) were hybridised to the Affymetrix Arabidopsis ATH1 and Rice Genome GeneChip arrays respectively. Probe selection based on gDNA hybridisation intensity increased the number of genes identified as significantly differentially expressed in two published studies of Arabidopsis development, and optimised the analysis of technical replicates obtained from pooled samples of RNA from rice. CONCLUSION: This mixed physical and bioinformatics approach can be used to optimise estimates of gene expression when using GeneChip arrays. |
format | Text |
id | pubmed-2045678 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-20456782007-10-31 Optimising the analysis of transcript data using high density oligonucleotide arrays and genomic DNA-based probe selection Graham, Neil S Broadley, Martin R Hammond, John P White, Philip J May, Sean T BMC Genomics Research Article BACKGROUND: Affymetrix GeneChip arrays are widely used for transcriptomic studies in a diverse range of species. Each gene is represented on a GeneChip array by a probe-set, consisting of up to 16 probe-pairs. Signal intensities across probe-pairs within a probe-set vary in part due to different physical hybridisation characteristics of individual probes with their target labelled transcripts. We have previously developed a technique to study the transcriptomes of heterologous species based on hybridising genomic DNA (gDNA) to a GeneChip array designed for a different species, and subsequently using only those probes with good homology. RESULTS: Here we have investigated the effects of hybridising homologous species gDNA to study the transcriptomes of species for which the arrays have been designed. Genomic DNA from Arabidopsis thaliana and rice (Oryza sativa) were hybridised to the Affymetrix Arabidopsis ATH1 and Rice Genome GeneChip arrays respectively. Probe selection based on gDNA hybridisation intensity increased the number of genes identified as significantly differentially expressed in two published studies of Arabidopsis development, and optimised the analysis of technical replicates obtained from pooled samples of RNA from rice. CONCLUSION: This mixed physical and bioinformatics approach can be used to optimise estimates of gene expression when using GeneChip arrays. BioMed Central 2007-10-01 /pmc/articles/PMC2045678/ /pubmed/17908303 http://dx.doi.org/10.1186/1471-2164-8-344 Text en Copyright © 2007 Graham et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Graham, Neil S Broadley, Martin R Hammond, John P White, Philip J May, Sean T Optimising the analysis of transcript data using high density oligonucleotide arrays and genomic DNA-based probe selection |
title | Optimising the analysis of transcript data using high density oligonucleotide arrays and genomic DNA-based probe selection |
title_full | Optimising the analysis of transcript data using high density oligonucleotide arrays and genomic DNA-based probe selection |
title_fullStr | Optimising the analysis of transcript data using high density oligonucleotide arrays and genomic DNA-based probe selection |
title_full_unstemmed | Optimising the analysis of transcript data using high density oligonucleotide arrays and genomic DNA-based probe selection |
title_short | Optimising the analysis of transcript data using high density oligonucleotide arrays and genomic DNA-based probe selection |
title_sort | optimising the analysis of transcript data using high density oligonucleotide arrays and genomic dna-based probe selection |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2045678/ https://www.ncbi.nlm.nih.gov/pubmed/17908303 http://dx.doi.org/10.1186/1471-2164-8-344 |
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