Single-cell RNA sequencing offers a promising opportunity for probing cell types mediating specific behavioral functions and the underlying molecular programs. However, this has been hampered by a long-standing issue in transcriptional profiling of dissociated cells, specifically the transcriptional perturbations that ...
Read More »Identification of therapeutic targets for glioblastoma by network analysis
Glioblastoma can originate from terminally differentiated astrocytes and neurons, which can dedifferentiate to a stem cell-like state upon transformation. In this study, researchers at UCSD confirmed that transformed dedifferentiated astrocytes and neurons acquired a stem/progenitor cell state, although they still ...
Read More »Brain RNA-Seq – An RNA-Sequencing Transcriptome and Splicing Database
The major cell classes of the brain differ in their developmental processes, metabolism, signaling, and function. To better understand the functions and interactions of the cell types that comprise these classes, a team led by researchers at the Stanford University ...
Read More »