The realm of medical research is undergoing a profound transformation with the integration of cellular and molecular approaches, fueled by the relentless pursuit of understanding intricate cell behavior. Key to this paradigm shift is the adoption of targeted molecular methods, encompassing the comprehensive analysis of genomic DNA, chromatin structure, mRNA sequences, non-protein-coding RNA, protein expression, modifications, and metabolites. However, the challenge lies in the scarcity of these molecules within individual cells, necessitating the study of vast cell populations.
At the forefront of this revolution is single-cell RNA sequencing (scRNA-seq), a groundbreaking tool since 2009 that enables high-resolution, genomic-scale analysis of RNA molecules in individual cells. The future of scRNA-seq holds immense promise in clinical applications. It is poised to be extensively used in analyzing frozen and preserved tissue samples, enhancing its relevance in medical studies. Anticipated advances in wet-lab procedures, focusing on rapid tissue dissociation without compromising transcriptomes, and cost-reduction strategies are expected to make scRNA-seq more financially accessible. Decreasing sequencing costs will lead to the analysis of millions to billions of cells, as demonstrated by initiatives like the Human Cell Atlas project.
Exciting prospects emerge from the integration of scRNA-seq with CRISPR–Cas9 genome editing, proteomics, epigenomics, and non-coding RNA analysis, paving the way for a comprehensive examination of single cells. Clinically, scRNA-seq is set to revolutionize tumor assessments, offering insights into rare malignant and chemo-resistant cancer cells, thereby providing crucial diagnostic information. Its application in full blood count assessments can offer in-depth insights into immune cell responses, improving diagnoses and treatment decisions.
Ultimately, the convergence of cellular and molecular approaches, empowered by scRNA-seq, signifies a transformative era in medical research, promising personalized medicine, diagnostic precision, and a deeper understanding of human health.