Construction and validation of the APOCHIP, a spotted oligo-microarray for the study of beta-cell apoptosis

<p>Abstract</p> <p>Background</p> <p>Type 1 diabetes mellitus (T1DM) is a autoimmune disease caused by a long-term negative balance between immune-mediated beta-cell damage and beta-cell repair/regeneration. Following immune-mediated damage the beta-cell fate depends on...

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Main Authors: Ørntoft Torben F, Eizirik Decio L, Kruhøffer Mogens, Cardozo Alessandra K, Magnusson Nils E, Jensen Jens L
Format: Article
Language:English
Published: BMC 2005-12-01
Series:BMC Bioinformatics
Online Access:http://www.biomedcentral.com/1471-2105/6/311
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spelling doaj-962b10b52c394a96a95bba90266b93d62020-11-25T02:51:56ZengBMCBMC Bioinformatics1471-21052005-12-016131110.1186/1471-2105-6-311Construction and validation of the APOCHIP, a spotted oligo-microarray for the study of beta-cell apoptosisØrntoft Torben FEizirik Decio LKruhøffer MogensCardozo Alessandra KMagnusson Nils EJensen Jens L<p>Abstract</p> <p>Background</p> <p>Type 1 diabetes mellitus (T1DM) is a autoimmune disease caused by a long-term negative balance between immune-mediated beta-cell damage and beta-cell repair/regeneration. Following immune-mediated damage the beta-cell fate depends on several genes up- or down-regulated in parallel and/or sequentially. Based on the information obtained by the analysis of several microarray experiments of beta-cells exposed to pro-apoptotic conditions (e.g. double stranded RNA (dsRNA) and cytokines), we have developed a spotted rat oligonucleotide microarray, the APOCHIP, containing 60-mer probes for 574 genes selected for the study of beta-cell apoptosis.</p> <p>Results</p> <p>The APOCHIP was validated by a combination of approaches. First we performed an internal validation of the spotted probes based on a weighted linear regression model using dilution series experiments. Second we profiled expression measurements in ten dissimilar rat RNA samples for 515 genes that were represented on both the spotted oligonucleotide collection and on the <it>in situ</it>-synthesized 25-mer arrays (Affymetrix GeneChips). Internal validation showed that most of the spotted probes displayed a pattern of reaction close to that predicted by the model. By using simple rules for comparison of data between platforms we found strong correlations (r<sub>median</sub>= 0.84) between relative gene expression measurements made with spotted probes and <it>in situ</it>-synthesized 25-mer probe sets.</p> <p>Conclusion</p> <p>In conclusion our data suggest that there is a high reproducibility of the APOCHIP in terms of technical replication and that relative gene expression measurements obtained with the APOCHIP compare well to the Affymetrix GeneChip. The APOCHIP is available to the scientific community and is a useful tool to study the molecular mechanisms regulating beta-cell apoptosis.</p> http://www.biomedcentral.com/1471-2105/6/311
collection DOAJ
language English
format Article
sources DOAJ
author Ørntoft Torben F
Eizirik Decio L
Kruhøffer Mogens
Cardozo Alessandra K
Magnusson Nils E
Jensen Jens L
spellingShingle Ørntoft Torben F
Eizirik Decio L
Kruhøffer Mogens
Cardozo Alessandra K
Magnusson Nils E
Jensen Jens L
Construction and validation of the APOCHIP, a spotted oligo-microarray for the study of beta-cell apoptosis
BMC Bioinformatics
author_facet Ørntoft Torben F
Eizirik Decio L
Kruhøffer Mogens
Cardozo Alessandra K
Magnusson Nils E
Jensen Jens L
author_sort Ørntoft Torben F
title Construction and validation of the APOCHIP, a spotted oligo-microarray for the study of beta-cell apoptosis
title_short Construction and validation of the APOCHIP, a spotted oligo-microarray for the study of beta-cell apoptosis
title_full Construction and validation of the APOCHIP, a spotted oligo-microarray for the study of beta-cell apoptosis
title_fullStr Construction and validation of the APOCHIP, a spotted oligo-microarray for the study of beta-cell apoptosis
title_full_unstemmed Construction and validation of the APOCHIP, a spotted oligo-microarray for the study of beta-cell apoptosis
title_sort construction and validation of the apochip, a spotted oligo-microarray for the study of beta-cell apoptosis
publisher BMC
series BMC Bioinformatics
issn 1471-2105
publishDate 2005-12-01
description <p>Abstract</p> <p>Background</p> <p>Type 1 diabetes mellitus (T1DM) is a autoimmune disease caused by a long-term negative balance between immune-mediated beta-cell damage and beta-cell repair/regeneration. Following immune-mediated damage the beta-cell fate depends on several genes up- or down-regulated in parallel and/or sequentially. Based on the information obtained by the analysis of several microarray experiments of beta-cells exposed to pro-apoptotic conditions (e.g. double stranded RNA (dsRNA) and cytokines), we have developed a spotted rat oligonucleotide microarray, the APOCHIP, containing 60-mer probes for 574 genes selected for the study of beta-cell apoptosis.</p> <p>Results</p> <p>The APOCHIP was validated by a combination of approaches. First we performed an internal validation of the spotted probes based on a weighted linear regression model using dilution series experiments. Second we profiled expression measurements in ten dissimilar rat RNA samples for 515 genes that were represented on both the spotted oligonucleotide collection and on the <it>in situ</it>-synthesized 25-mer arrays (Affymetrix GeneChips). Internal validation showed that most of the spotted probes displayed a pattern of reaction close to that predicted by the model. By using simple rules for comparison of data between platforms we found strong correlations (r<sub>median</sub>= 0.84) between relative gene expression measurements made with spotted probes and <it>in situ</it>-synthesized 25-mer probe sets.</p> <p>Conclusion</p> <p>In conclusion our data suggest that there is a high reproducibility of the APOCHIP in terms of technical replication and that relative gene expression measurements obtained with the APOCHIP compare well to the Affymetrix GeneChip. The APOCHIP is available to the scientific community and is a useful tool to study the molecular mechanisms regulating beta-cell apoptosis.</p>
url http://www.biomedcentral.com/1471-2105/6/311
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