Single-cell multi-omics is an advanced analytical approach that enables the simultaneous analysis of multiple omics layers at the level of individual cells. Omics refers to large-scale studies of ...

The first single cell application was single cell RNA-Seq, which enabled scientists to focus on the gene expression profiles of individual cells rather than on tissue averages. As new single cell ...

Multi-omics integration combines genomics, proteomics, and more, offering a comprehensive view of complex biological systems and enhancing precision medicine.

Learn about Professor Melanie Bailey's research on single-cell multi-omics and its oncological potential through the company SEISMIC. Discover the groundbreaking work and contributions to the field.

However, the content of how heterogeneity is shaped by tumors and stromal cells or vice versa remains poorly understood. Methods: Single-cell RNA sequencing, spatial transcriptomics and bulk ...

MAGICAL was also applied to a public PBMC coronavirus disease 2019 (COVID-19) single-cell multi-omics dataset to analyze disease-associated circuit genes and chromatin sites.

Now, a new study published on the preprint server medRxiv aims to analyze the immune response over time, using multi-omics in the study of a single cell.

1Cell.Ai, a global leader in single cell precision diagnostics, has joined forces with BioSkryb Genomics, a pioneer in single cell multi-omics, to co-develop and commercialize next-generation ...

Single-cell multi-omics technologies allow a profound system-level biology understanding of cells and tissues. However, an integrative and possibly systems-based analysis capturing the different ...