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Assessment of the relationship between signal intensities and transcript concentration for Affymetrix GeneChip(®) arrays

BACKGROUND: Affymetrix microarrays have become increasingly popular in gene-expression studies; however, limitations of the technology have not been well established for commercially available arrays. The hybridization signal has been shown to be proportional to actual transcript concentration for s...

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Autores principales: Chudin, Eugene, Walker, Randal, Kosaka, Alan, Wu, Sue X, Rabert, Douglas, Chang, Thomas K, Kreder, Dirk E
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2002
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC150452/
https://www.ncbi.nlm.nih.gov/pubmed/11806828
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author Chudin, Eugene
Walker, Randal
Kosaka, Alan
Wu, Sue X
Rabert, Douglas
Chang, Thomas K
Kreder, Dirk E
author_facet Chudin, Eugene
Walker, Randal
Kosaka, Alan
Wu, Sue X
Rabert, Douglas
Chang, Thomas K
Kreder, Dirk E
author_sort Chudin, Eugene
collection PubMed
description BACKGROUND: Affymetrix microarrays have become increasingly popular in gene-expression studies; however, limitations of the technology have not been well established for commercially available arrays. The hybridization signal has been shown to be proportional to actual transcript concentration for specialized arrays containing hundreds of distinct probe pairs per gene. Additionally, the technology has been described as capable of distinguishing concentration levels within a factor of 2, and of detecting transcript frequencies as low as 1 in 2,000,000. Using commercially available arrays, we assessed these representations directly through a series of 'spike-in' hybridizations involving four prokaryotic transcripts in the absence and presence of fixed eukaryotic background. The contribution of probe-target interactions to the mismatch signal was quantified under various analyte concentrations. RESULTS: A linear relationship between transcript abundance and signal was consistently observed between 1 pM and 10 pM transcripts. The signal ceased to be linear above the 10 pM level and commenced saturating around the 100 pM level. The 0.1 pM transcripts were virtually undetectable in the presence of eukaryotic background. Our measurements show that preponderance of the signal for mismatch probes derives from interactions with the target transcripts. CONCLUSIONS: Landmark studies outlining an observed linear relationship between signal and transcript concentration were carried out under highly specialized conditions and may not extend to commercially available arrays under routine operating conditions. Additionally, alternative metrics that are not based on the difference in the signal of members of a probe pair may further improve the quantitative utility of the Affymetrix GeneChip(®) array.
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spelling pubmed-1504522002-01-30 Assessment of the relationship between signal intensities and transcript concentration for Affymetrix GeneChip(®) arrays Chudin, Eugene Walker, Randal Kosaka, Alan Wu, Sue X Rabert, Douglas Chang, Thomas K Kreder, Dirk E Genome Biol Research BACKGROUND: Affymetrix microarrays have become increasingly popular in gene-expression studies; however, limitations of the technology have not been well established for commercially available arrays. The hybridization signal has been shown to be proportional to actual transcript concentration for specialized arrays containing hundreds of distinct probe pairs per gene. Additionally, the technology has been described as capable of distinguishing concentration levels within a factor of 2, and of detecting transcript frequencies as low as 1 in 2,000,000. Using commercially available arrays, we assessed these representations directly through a series of 'spike-in' hybridizations involving four prokaryotic transcripts in the absence and presence of fixed eukaryotic background. The contribution of probe-target interactions to the mismatch signal was quantified under various analyte concentrations. RESULTS: A linear relationship between transcript abundance and signal was consistently observed between 1 pM and 10 pM transcripts. The signal ceased to be linear above the 10 pM level and commenced saturating around the 100 pM level. The 0.1 pM transcripts were virtually undetectable in the presence of eukaryotic background. Our measurements show that preponderance of the signal for mismatch probes derives from interactions with the target transcripts. CONCLUSIONS: Landmark studies outlining an observed linear relationship between signal and transcript concentration were carried out under highly specialized conditions and may not extend to commercially available arrays under routine operating conditions. Additionally, alternative metrics that are not based on the difference in the signal of members of a probe pair may further improve the quantitative utility of the Affymetrix GeneChip(®) array. BioMed Central 2002 2001-12-14 /pmc/articles/PMC150452/ /pubmed/11806828 Text en Copyright © 2001 Chudin et al., licensee BioMed Central Ltd
spellingShingle Research
Chudin, Eugene
Walker, Randal
Kosaka, Alan
Wu, Sue X
Rabert, Douglas
Chang, Thomas K
Kreder, Dirk E
Assessment of the relationship between signal intensities and transcript concentration for Affymetrix GeneChip(®) arrays
title Assessment of the relationship between signal intensities and transcript concentration for Affymetrix GeneChip(®) arrays
title_full Assessment of the relationship between signal intensities and transcript concentration for Affymetrix GeneChip(®) arrays
title_fullStr Assessment of the relationship between signal intensities and transcript concentration for Affymetrix GeneChip(®) arrays
title_full_unstemmed Assessment of the relationship between signal intensities and transcript concentration for Affymetrix GeneChip(®) arrays
title_short Assessment of the relationship between signal intensities and transcript concentration for Affymetrix GeneChip(®) arrays
title_sort assessment of the relationship between signal intensities and transcript concentration for affymetrix genechip(®) arrays
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC150452/
https://www.ncbi.nlm.nih.gov/pubmed/11806828
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