MicroBioChips routinely works with these following commercial microarrays from various suppliers.
The ability to identify multiple proteins simultaneously allows global molecular characterization of biological samples with applications in fundamental cell biology. There is often poor correlation between mRNA and protein expression, so a method that can assay proteins directly is required for analyzing biologically relevant events. Antibody arrays provide an effective solution to rapidly profile expression of multiple proteins in samples.



» up to 507 human secreted proteins
» up to 308 mouse secreted proteins
» up to 90 rat secreted proteins.

Biological samples are profiled on an antibody array dedicated cytokine expression. Data gives a semi-quantitative comparison of expression profiles between various samples treated for example with or without a drug candidate. According to the cytokine profiling microarrays suppliers, panels of 4 to 507 cytokines are available. Serum, plasma, urine, tears, brain fluids, cell or tissue extracts, can be easily analyzed on these arrays. Cytokine expression profiling is of key importance in immunology, inflammation and cancer research.

Please find below the results obtained using human or mouse cytokine microarrays and feel free to contact us for more information:

»  up to 507 human cytokines (example)

»  up to 308 mouse cytokines (example)

» up to 725 antibodies, including phosphorylated proteins.

The Cell signaling antibody microarray is designed for studying protein expression in cell or tissue extracts, blood plasma or serum samples. The array can be used for comparing protein expression profiles of two groups of samples (test versus reference samples).

Please find below the results obtained from cell signaling microarrays and feel free to contact us for more information:

»  up to 725 cell signaling proteins (example)

» on high density protein array for Biomarker identification : up to 9000 proteins.

This powerful tool allow to identify Immune response biomarker by profiling immunoreactivity of serum samples groups on more than 9000 human proteins expressed in insect cells from baculovirus expression system. Furthermore this is your dedicated tool for auto-antibody target identification for cancer or autoimmune disease.

Please find below the results obtained from serrum profiling microarrays and feel free to contact us for more information:

»  high density protein array for Biomarker identification (example)

» Tested against >9,000 human recombinant antigens.

Each antibody is tested against >9,000 Human Recombinant Antigens is a same experiment (one slide), results are based on x2 replicate spots per array. Positive controls are included on the slide and the incubation is performed in simplicate.



» up to 9,000 proteins.

Protein arrays make possible the parallel multiplex screening of thousands of interactions including protein-protein interactions. It can provide in vitro alternatives to / confirmation of the cell-based yeast two-hybrid system and may be useful where the latter is deficient, such as interactions involving secreted proteins or proteins with disulphide bridges.

Please find below the results obtained using protein-protein study microarrays and feel free to contact us for more information:

»  Multiplex protein-protein interaction study (example)

Pre-spotted expression profiling arrays consist of various high quality cDNA and Oligo arrays, such as human, mouse, rice, cotton, silkworm genomic expression arrays, and some specific classes of functional expression arrays. These preprinted arrays have been widely used in life science research for genotyping or gene expression detection of target biological samples. Genomic array studies permit total analysis of cell genomic expression profiles, discovery of differential genes or differentially expressed genes, and discovery of cell phenotype and drug-effect related genes expression. Classified functional genomic arrays are useful for repeated and detailed experimental analysis for specific functionally-related genes.