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The Power of Multi-Omics at the Single-Cell Level

How researchers are leveraging technology to gather multiple layers of data on individual cells

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There are an estimated 37 trillion cells in the human body, and no two are exactly alike. This heterogeneity within each patient further complicates cell analysis as well as the development and optimization of immune therapies. Single-cell analysis is a relatively new technology that has revolutionized the ability of researchers to study variation within a population of cells (e.g. organs, tissues, and cell cultures). IsoPlexis’ single-cell proteomics, for example, has allowed researchers to identify the specific cytokines each single cell is secreting to identify highly functional subsets of cells that can accelerate the development of vaccines and therapeutics.

The latest advance in the field of single-cell analysis is single-cell multi-omics—just last year, Nature Methods chose it as their Method of the Year “for its great impact in revealing cell functions, discovering relationships across ‘omes, and recording dynamic biological events.”

What is Single-Cell Multi-Omics?

Individually, high-throughput analyses of -omes—genomes, transcriptomes, proteomes, and metabolomes—of single cells can offer key insights into gene expression, disease pathogenesis, and other cellular processes. Analyzing several -omes at once provides even more comprehensive cell profiles. Single-cell multi-omics allows researchers to obtain multiple large -omics datasets from individual cells. 

IsoPlexis has recently demonstrated the ability to provide this type of data as depicted in the image below. Single-cell secretomics was used by researchers Parisi, et al. to identify mechanisms of immune persistence in solid tumors to overcome tumor-immune challenges. IsoPlexis’ technology found that a novel kinetically engineered IL-2 receptor agonist had the potential to improve the anti-tumor activity of adoptive cell transfer (ACT) therapy in humans by increasing in vivo expansion and polyfunctionality of the adoptively transferred T cells.

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