We used a cellular model of neuronal development that was previously studied in the laboratory [ 20, 21], and which is highly appropriate for population-based studies using techniques such as microarrays and PCR.
In this study, we developed a cellular microarray using Class II MHC protein loaded with antigenic peptides.
To identify ZNF191 target genes, a combined approach of transient overexpression and transient knockdown (KD) are used to identify genes modified by the ZNF191 transcription factor with 44 K Whole-Genome 60-mer oligonucleotide microarrays, using a cellular model (HEK293).
We employed a cellular microarray screening platform previously developed in our laboratory.
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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.
Here, we provide an overview of the emerging technologies that can be used to generate cellular microarrays, and we highlight recent significant advances in the field.
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].
