Single-Cell RNA Sequencing in Tumor Profiling
Single-cell RNA sequencing analyzes gene expression at the individual cell level. It reveals cellular diversity within tumors. Therefore, researchers detect rare cell populations.
Traditional bulk sequencing averages signals. In contrast, single-cell methods capture heterogeneity. As a result, scientists identify distinct tumor subtypes.
Moreover, this technique maps the tumor microenvironment. It distinguishes cancer cells from immune and stromal cells. Consequently, it clarifies cell-to-cell interactions.
Researchers use it to trace tumor evolution. It tracks clonal expansion over time. Thus, it explains treatment resistance mechanisms.
Furthermore, single-cell RNA sequencing supports precision medicine. It uncovers specific therapeutic targets. Hence, clinicians design personalized treatment strategies.
However, challenges remain. High cost limits widespread use. Even so, technology continues to improve.
Overall, single-cell RNA sequencing transforms tumor profiling. It deepens biological insight. Ultimately, it advances cancer diagnosis and therapy.
