Single Cell Analysis Single Cell Analysis

Researchers at UCSD have developed the Rainbow-seq technology to trace cell division history and reveal single-cell transcriptomes. With distinct fluorescent protein genes as lineage markers, Rainbow-seq enables each single-cell RNA ...

New single-cell protocols available for full-length, whole transcriptome sequencing using microfluidics technology Fluidigm Corporation today announced two new total RNA sequencing applications for the C1™ system. Available on Script Hub™, ...

Detailed measurements of genes in individual brain cells allows scientists to trace specific developmental trajectories in the cerebellum Researchers at St. Jude Children’s Research Hospital have created a massive database ...

Researchers have identified a rare cell type in airway tissue, previously uncharacterized in the scientific literature, that appears to play a key role in the biology of cystic fibrosis. Using ...

Retrieving high-content gene-expression information while retaining three-dimensional (3D) positional anatomy at cellular resolution has been difficult, limiting integrative understanding of structure and function in complex biological tissues. Stanford University researchers ...

Single cell RNA-seq (scRNA-seq) experiments suffer from a range of characteristic technical biases, such as dropouts (zero or near zero counts) and high variance. Current analysis methods rely on imputing ...