Advancements in Single-Cell Sequencing Techniques: Implications for Understanding Tumor Heterogeneity and Personalized Cancer Therapy

Main Article Content

Amal Aqeel Alawfi, Mohammed Ibrahim A Hamadi, Sultan Mousa J Wasili, Wejdan Ali Alwan Fadhel, Majed Ahmed Mohamed Badwialan, Abdulrahman Fadhi Dakheen Alanazi, Mohammed Saleem Aljizani, Gassim Yazeed Yahia Ghzwani, Amal Saad Ahmad Alqarani, Khalid Ahmed Ahmed Hothan, Ahmad Mohamed Khawaji, Faleh Obaid Zabbar Al Harithi, Ali Murdi Mohsen Alqarni, Nouf Ahmad Eprahim Shahhar, Abdullah Mohammed Abdullah Alomi.

Abstract

Background: The advent of single-cell sequencing technologies has revolutionized cancer research by enabling the detailed examination of cellular heterogeneity and molecular characteristics at the individual cell level. This approach provides insights into the complex dynamics of tumor biology, including identifying rare cell populations and the mechanisms underlying tumorigenesis, progression, and treatment resistance.


Methods: This review delineates the advancements in single-cell analysis techniques, particularly focusing on single-cell RNA sequencing (scRNA-seq), single-cell DNA sequencing, and emerging multiomic approaches. We systematically explore novel methodologies, including microfluidics, combinatorial indexing, and in situ sequencing. We also evaluate the application of these techniques in various cancer contexts, highlighting their capacity to uncover new biomarkers and therapeutic targets.


Results: Recent findings demonstrate that single-cell sequencing can effectively delineate the tumor microenvironment, reveal clonal evolution, and identify distinct cellular subpopulations. These technologies have facilitated significant advancements in understanding the heterogeneity inherent in tumors, enabling the characterization of cancer stem cells, circulating tumor cells, and immune microenvironments. Comparative analyses of different sequencing platforms, such as 10X Genomics and SMART-Seq, underscore their strengths and limitations in capturing transcriptomic diversity.


Conclusion: Single-cell sequencing technologies are essential for advancing our understanding of cancer biology and improving clinical outcomes through personalized medicine. Despite certain limitations, including sensitivity issues and batch effects, ongoing technological enhancements promise to refine these methods further, paving the way for more comprehensive insights into tumor biology and therapeutic strategies.


Article Details

Section
Articles