Single cell gene expression studies often rely on single-cell RNA sequencing (scRNA-seq) alone. While scRNA-seq reveals which genes are turned on, it does not capture protein expression or changes to ...

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

Machine learning models reveal that histone marks are predictive of gene expression across human cell types and highlight important nuances between natural control and the effects of CRISPR-Cas9-based ...

A recent study marks the first reported instance of generative AI designing synthetic molecules that can successfully control gene expression in healthy mammalian cells. As a proof-of-concept, the ...

Peer-reviewed discovery platform and data in PNAS show that single transcription factor modulation reverses aging-associated gene expression and restores healthy cellular and tissue function in models ...

A recent study published in the journal Frontiers in Endocrinology investigated the role of the short-chain dehydrogenase/reductase 42E member 1 (SDR42E1) enzyme in regulating sterol metabolism and ...

Researchers at Helmholtz Munich and the Technical University of Munich (TUM) have developed Nicheformer, the first large-scale foundation model that integrates single-cell analysis with spatial ...

Cancer therapy and synthetic biology are converging around a shared problem that has long frustrated oncologists and ...