Single-Cell RNA Sequencing and Its Combination with Protein and DNA Analyses.

Area of Science:

• Cell Biology
• Genomics
• Biotechnology

Background:

• Cellular heterogeneity presents a major obstacle in understanding complex biological processes.
• Bulk analysis methods obscure critical information present at the single-cell level.
• Single-cell RNA sequencing (scRNA-seq) has emerged as a powerful tool to dissect cellular heterogeneity.

Purpose of the Study:

• To provide a comprehensive review of current single-cell RNA sequencing (scRNA-seq) technologies.
• To discuss the advantages, limitations, and biomedical applications of various scRNA-seq platforms.
• To explore the integration of scRNA-seq with proteomic and genomic data for enhanced biological insights.

Main Methods:

• Review of conventional and microfluidic single-cell RNA sequencing (scRNA-seq) technologies.
• Analysis of studies integrating scRNA-seq with genomic and proteomic datasets.
• Discussion of commercialization progress, challenges, and future directions in scRNA-seq development.

Main Results:

• scRNA-seq technologies, including microfluidic approaches, offer detailed dissection of cellular heterogeneity.
• Integration of transcriptome profiles with proteomic and genomic data provides more comprehensive biological information than transcriptome data alone.
• Significant progress has been made towards the commercialization of scRNA-seq technologies.

Conclusions:

• Single-cell RNA sequencing (scRNA-seq) is crucial for understanding cellular heterogeneity in biological and clinical research.
• Integrated multi-omics approaches using scRNA-seq significantly advance the characterization of complex cell populations.
• Continued development and application of scRNA-seq technologies hold great promise for biomedical advancements.