Using sophisticated RNA sequencing technology, biomedical researchers can measure the activity of our genes across millions of single cells, creating detailed maps of tissues, organs, and diseases.

In the race to bring new biologics to market, development teams are constantly balancing speed, quality, and regulatory ...

Illumina launched the Billion Cell Atlas to train AI on one billion single cells. AstraZeneca, Merck and Lilly are founding ...

The largest single cell perturbation dataset to-date will be generated and released open source in a new team effort.

Researchers increasingly turn to single-cell sequencing to answer a range of biological questions, with published single-cell data increasing year over year. As its popularity rises, so does the need ...

Single-cell RNA-seq (scRNA-seq) has spent the past decade maturing into a foundational technology. Over that time, the technology has both laid the foundation for building cell atlases and allowed ...

The Immune Atlas identifies immune signatures in MM, enhancing outcome prediction and guiding personalized therapies by ...

Capturing spatial information is essential to elucidate how cells function and interact within their native tissue environment. However, the initial spatial transcriptomics techniques have several ...

Scientists at the Icahn School of Medicine at Mount Sinai, in partnership with the Multiple Myeloma Research Foundation (MMRF ...

Biology has always been an unruly science. Cells divide when they want to. Genes switch on and off like temperamental lights.