Single cell heterogeneity plays an important role in the onset and progression of a variety of disease pathologies. One of the most notable examples of the impact of heterogeneity in the complexity of a disease is cancer. Traditionally, molecular analyses on cancer-related samples have been performed on bulk populations of cells, with the resultant data only representative of an average of the population, thereby concealing potentially relevant information about individual cells. Performing these studies at the single cell level is proposed to address this issue.
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