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This indicated that assessing T cell responses against these epitopes using the cellular microarray did not provide a prediction of autoimmune status or progression.
To assess clinical samples using the cellular microarray, particularly for comparative purposes, a standardized data analysis system is required to transform original fluorescence measurements into normalized results suitable for inter-/intra-assay comparison.
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In the autoimmune disease setting, the performance of the cellular microarray system was less impressive.
For foreign antigens, which normally trigger robust adaptive responses, the cellular microarray system performed quite well.
Second, we assessed 92 bioactive compounds for their effects on cellular metabolism using the Phenotype Microarray platform (Biolog Inc., Hayward, CA, USA).
Here, we used a cellular microarray technology to identify a defined and optimized culture condition that supports the derivation and propagation of a cell population with mesodermal properties.
This database contains microarray data of 40 different experimental conditions obtained through microarray analysis using the same custom microarray chip as described in this manuscript.
We generated the data from each mouse model using the same microarray platform and reference RNA.
Microarray was carried out using the NimbleGen microarray service.
Though the microarrays have been used to great benefit in the fields of genomics and proteomics, comparatively little effort has been directed toward using cellular microarrays, particularly in the case of pathogenic microorganisms [25], [26], [27], [28], [29], [30], [31].
Microarrays were analyzed using the AB1700 Chemiluminescent Microarray Analyzer.
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