Multiplex assay products currently available on market for quantitative analysis of cytokines, chemokines, growth factors and other soluble biomarkers for disease states are frequently associated with some serious un-addressed quality issues and high cost of reagents and instrument. Specifically, the quality concerns include the following: lack of clearly defined specificities, falsely claimed assay sensitivities, insufficient validation data for analytical and biological performance characteristics, poor reproducibility, poor correlation with established methods, cross-talk among targets within a panel, etc. Most multiplex assay platforms require dedicated instrument that is very costly to acquire and maintain and some mandates use of costly consumables from the supplier. Accurate and efficient data analysis is critical for multiplex assays. Unfortunately multiplex assay data management tools are not standardized. Some data acquisition and analysis software packages purposely extrapolate data beyond statistically acceptable range and sometimes even manipulates analytical parameters that define noise levels from true signals thus result in incorrect interpretation of calculated sample concentrations. To address these issues, we developed new multiplex biomarker assays for use with existing laboratory equipment, which is commonly available in biological research laboratories and is routinely used for cell analysis. The new multiplex assays use well-published antibody reagents manufactured under GMP-quality environment. More robust assay performance, well-defined multiplex assay panels, availability of more novel assays, significantly decreased reagent cost, no need for a dedicated instrument, and accurate data analysis software available free of charge make the new technology an ideal selection for use in quantification of soluble biomarkers in biological samples and thus offers a great value to the cytokine, chemokine, and interferon research communities. Details on current issues and solutions will be discussed with analytically and biologically relevant data.