Single-cell multiomics to advance cell therapy.

Area of Science:

• Genomics
• Bioinformatics
• Cell Biology

Background:

• Single-cell RNA sequencing (scRNAseq) has rapidly advanced since its 2009 inception.
• Numerous scRNAseq platforms and computational pipelines exist, posing interpretation challenges.
• scRNAseq data is prevalent across scientific disciplines.

Purpose of the Study:

• To provide a comprehensive overview of scRNAseq technologies and analyses.
• To guide researchers in understanding and interpreting scRNAseq data.
• To highlight advancements in multimodal single-cell omics and cell therapy applications.

Main Methods:

• Comparative analysis of different scRNAseq platforms.
• Discussion of critical experimental steps in scRNAseq.
• Overview of standard and novel downstream computational analyses.
• Introduction to multimodal single-cell omics approaches.

Main Results:

• Key differences between scRNAseq platforms are elucidated.
• Essential experimental considerations for scRNAseq are detailed.
• Standard and emerging computational analysis strategies are presented.
• The utility of single-cell omics in advancing cell therapy is explored.

Conclusions:

• Understanding scRNAseq platforms and analyses is crucial for researchers.
• Multimodal approaches offer enhanced insights into cellular heterogeneity.
• Single-cell omics holds significant promise for cell therapy development and application.