Single cell analysis has rapidly evolved into one of the most important disciplines in modern biology and medicine. Unlike traditional bulk analysis, which examines the average characteristics of a large population of cells, single cell analysis reveals the unique behaviors and molecular features of individual cells.

This distinction is crucial because even cells within the same tissue can differ dramatically in gene expression, function, and response to disease or therapy. Understanding these differences allows scientists to uncover hidden biological patterns that would otherwise remain invisible.

At the heart of single cell analysis lies the concept of heterogeneity. Biological systems, whether healthy tissues or disease states, are made of diverse cell populations. For example, in cancer, the tumor mass consists of various subclones—some may respond to treatment while others resist it. Single cell technologies allow researchers to identify these resistant subpopulations, analyze their genetic signatures, and develop targeted strategies to eliminate…

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