Tag Archives: cell fate

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...

High-throughput -omics techniques have revolutionised biology, allowing for thorough and unbiased characterisation of the molecular states of biological systems. However, cellular decision-making is inherently a unicellular process to which “bulk” -omics techniques are poorly suited, as they capture ensemble averages ...

Generating detailed and accurate organogenesis models using single cell RNA-seq data remains a major challenge. Current methods have relied primarily on the assumption that decedent cells are similar...

Single cell RNA-Seq analysis holds great promise for elucidating the networks and pathways controlling cellular differentiation and disease. However, the analysis of time series single cell RNA-Seq data raises several new computational challenges. Cells at each time point are often ...

Data integration has become a useful strategy for uncovering new insights into complex biological networks. Researchers at the German Rheumatism Research Center studied whether this approach can help to delineate the signal transducer and activator of transcription 6 (STAT6)-mediated transcriptional ...