Traditional technologies to investigate system biology are limited by the 
detection of parameters resulting from the averages of large populations of 
cells, missing cells produced in small numbers, and attempting to uniform the 
heterogeneity. The advent of proteomics and genomics at a single-cell level has 
set the basis for an outstanding improvement in analytical technology and data 
acquisition. It has been well demonstrated that cellular heterogeneity is 
closely related to numerous stochastic transcriptional events leading to 
variations in patterns of expression among single genetically identical cells. 
The new-generation technology of single-cell analysis is able to better 
characterize a cell's population, identifying and differentiating outlier cells, 
in order to provide both a single-cell experiment and a corresponding bulk 
measurement, through the identification, quantification and characterization of 
all system biology aspects (genomics, transcriptomics, proteomics, metabolomics, 
degradomics and fluxomics). The movement of omics into single-cell analysis 
represents a significant and outstanding shift.