Single-cell Research

Our guest writer Louk Timmer is a Ph.D. candidate in the Van Rooij group at… read more

Research projects often apply single-cell technologies to differentiate cell subtypes harvested from a pluricellular organism…. read more

Viruses are not yet the obvious application for sequencing at single-organism resolution, with their small… read more

Mammalian cells have dominated the scRNA-seq field for years, but single-cell studies on plants are… read more

Prof. Manuel Martinez-Garcia, associate professor of Microbiology at the University of Alicante (Spain), shared with… read more

Manually identifying and picking up rare cells from large samples can be a serious challenge,… read more

Current high throughput scRNA-seq technologies, including spatial transcriptomics, rely on 3’ short-read sequencing to identify… read more

The introduction of multiplexing in cellular imaging enabled the identification and spatial localization of thousands… read more

  Adding to the existing complexity of single-cell resolution datasets, the spatial dimension also presents… read more

The terms “spatial” or “spatially-resolved data” have been increasingly thrown around in the field of… read more

Source: Ortiz et al., Molecular atlas of the adult mouse brain, Science Advances  26 Jun… read more

  When I began dabbling into single-cell RNA sequencing (scRNA-seq), the field was just emerging… read more