Single-Cell Molecular Barcoding to Decode Multimodal Information Defining Cell States.

Area of Science:

• Molecular biology
• Genomics
• Biotechnology

Background:

• Single-cell research is crucial for understanding cellular heterogeneity in development and disease.
• Current methods struggle to capture comprehensive multimodal information from individual cells.
• Advances are needed to integrate diverse molecular data for precise cellular state definition.

Purpose of the Study:

• To review recent single-cell multiomics approaches.
• To highlight methods for genome, epigenome, and protein profiling alongside transcriptomics.
• To discuss technological advancements in molecular tagging, throughput, and lineage tracing.

Main Methods:

• Molecular barcoding and sequencing for single-cell isolation.
• Simultaneous extraction of multimodal data (DNA, RNA, protein).
• Techniques for anchoring molecules, sample multiplexing, and lineage recording.

Main Results:

• Summarizes novel single-cell multiomics strategies.
• Details approaches for integrating multi-layered cellular information.
• Identifies key innovations in single-cell data acquisition.

Conclusions:

• Single-cell multiomics offers unprecedented resolution for biological studies.
• Future developments will further enhance throughput and analytical capabilities.
• This technology is vital for advancing our understanding of complex biological processes and diseases.