VP Project Development CheckImmune GmbH, Berlin, Germany
Single-cell RNA sequencing (scRNASeq) offers a key advantage over conventional RNA sequencing by revealing gene expression patterns unique to specific cell types. Recent advances have enabled multiomics approaches, allowing simultaneous measurement of transcriptomics, proteomics, receptor repertoires, and epigenetic modifications across thousands of individual cells. These comprehensive datasets are particularly useful for characterizing pharmacodynamic effects of biologics and evaluating cell therapies, such as CAR T cells, in clinical trials. Single-cell multiomics is valuable for analyzing complex samples, providing deeper insights into disease mechanisms and therapeutic responses at the cellular level. Our workflows include rigorous quality controls, rare cell population enrichment, and sample multiplexing to ensure highly customized and reliable data, analyzed to meet specific requirements. However, scRNASeq presents challenges, such as managing sample logistics, optimizing experimental protocols, and validating methods for clinical trials under GCLP standards. This study highlights the practical applications and importance of multiomic scRNASeq in clinical research.
Learning Objectives:
Upon completion, participants will understand the advantages of scRNASeq and multiomics for identifying cell-specific gene expression, evaluating pharmacodynamic effects in trials, and addressing sample logistics, protocol optimization, and method validation.
to understand the advantages of single-cell RNA sequencing (scRNASeq) and multiomics approaches for identifying cell-type-specific gene expression patterns
to appreciate the possibilities of scRNAseq to evaluate the pharmacodynamic effects in cell therapies and clinical trials
