A researcher's guide to spatial transcriptomics: how sequencing- and imaging-based methods work, and how to choose a platform ...

Single-cell transcriptomics in plant systems has emerged as a transformative approach to dissect cellular heterogeneity, developmental dynamics and environmental responses with unprecedented ...

Progress in molecular neuroscience depends as much on the questions we ask as on the tools we have to answer them. Over the ...

Over the last few years, the single-cell landscape has transitioned from mapping individual cellular transcriptomes to ...

Capturing spatial information is essential to elucidate how cells function and interact within their native tissue environment. However, the initial spatial transcriptomics techniques have several ...

One Biosciences, a techbio company pioneering clinical-grade single-cell tumor profiling, today announced data establishing that single-cell RNA expression profiles can be generated from the standard, ...

New simulator and computational tools generate realistic ‘virtual tissues’ and map cell-to-cell ‘conversations’ from spatial transcriptomics data, potentially accelerating AI-driven discoveries in ...

Single-cell sequencing is useful for a number of applications. For example, it can reveal cellular heterogeneity inside complex tissues, such as tumors. It can also provide information about how ...

Spatial transcriptomics data analysis increasingly depends on artificial intelligence (AI) to convert raw, location-tagged gene expression readings into a usable map of tissue biology. Unlike ...

Kelly Parliament, staff application scientist at Beckman Coulter Life Sciences, discusses how automation is improving the efficiency of single-cell transcriptomic workflows. Single-cell ...

Researchers at the John Innes Center and the Earlham Institute are pioneering powerful single-cell visualization techniques that could unlock higher yields of global wheat. Subscribe to our newsletter ...