single-cell analysis

The researchers reported that targeting HDAC4 in the patient-derived neurons appeared to correct the expression of genes that differed in the disease state.

Researchers identified immune activity changes in first-trimester placenta and decidua samples profiled through single-cell RNA sequencing.

Using a mouse model of immunotherapy resistant disease, the researchers found that this program could be targeted by an inhibitor to improve response.

Researchers identified 133 neuronal and non-neuronal cell types using single-cell RNA-seq data for tens of thousands of cells from the mouse neocortex.

The researchers found that genes whose transcription in response to an immune challenge diverged across species also varied between single cells.

The team's Pro-Code system enabled simultaneous high-dimensional protein-level phenotyping of hundreds of genes with single-cell resolution.

Using single-cell RNA sequencing and lineage tracing in a mouse model, researchers followed skin stem cell expression patterns in response to skin injury.

Using a microfluidics-based single-cell isoform RNA-seq approach, researchers clustered cerebellar cells and saw isoforms with cell type-specific expression.