Single-cell omics technologies analyze DNA, RNA, proteins, or other molecular features in individual cells. This provides a high-resolution view of cellular heterogeneity within a population, enabling researchers to understand cell-to-cell variations, identify rare cell types, and study dynamic processes like development and disease progression. Common applications include identifying novel drug targets, understanding immune responses, and profiling tumor microenvironments.
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