The advancement of scRNA-seq has brought new insights into the heterogeneous composition of T lymphocytes. Within T lymphocytes, several subtypes are known, each having its specific function. The composition of T lymphocytes can provide insights into a patient's disease state, particularly in the determination of cancerous conditions and chronic infections. scRNA-seq is a relatively novel technology and is still in the process of refinement. This technology allows us to observe the transcriptome of individual cells in a sample. Various protocols for conducting scRNA-seq have been developed. An inherent challenge in scRNA-seq is the substantial amount of data that needs to be analyzed, demanding high computational capacity. Different software tools are available for analysis. Data analysis begins with data preprocessing, including transcript quality control and the removal of unsuitable cells. Subsequently, quantitative transcriptomic analysis and mapping to a reference atlas are performed. Following data preprocessing, we can engage in data analysis and visualization to derive meaningful insights. Completed studies have demonstrated that scRNA-seq in T lymphocytes reveals a diverse heterogeneity of subtypes compared to traditional methods.
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