Bridging the gap – enhancing and unifying bone RNA-seq data
Single-cell RNA sequencing, or scRNA-seq, has revolutionized the way scientists study cells, by grouping them…
Browsing: Spatial Transcriptomics
snPATHO-seq – a versatile FFPE single-nucleus RNA sequencing method to unlock pathology archives
Formalin-fixed paraffin-embedded (FFPE) samples are widely used in biomedical research, especially in pathology. These samples…
Researchers discover prognostic lncRNAs in colorectal cancer using spatial transcriptomics
Colorectal cancer (CRC) is a complex disease that doesn’t affect every patient in the same…
FICTURE – scalable segmentation-free analysis of submicron-resolution spatial transcriptomics
Spatial transcriptomics (ST) is an exciting area of research that lets scientists study which genes…
METI – deep profiling of tumor ecosystems by integrating cell morphology and spatial transcriptomics
In the ever-evolving field of cancer research, scientists are continuously developing new ways to study…
WashU chemists develop alternative to RNA-Seq for tracking RNA edits
The team’s new technique could help scientists worldwide identify novel targets for cancer therapies. Every…
MiP-seq – spatial multi-omics at subcellular resolution via high-throughput in situ pairwise sequencing
Understanding how cells function and how diseases develop at a molecular level is a major…
Applying spatial transcriptomics in plants
It is a revolutionary new way of looking at cells that is already having an…
standR – spatial transcriptomic analysis for GeoMx DSP data
To gain a better understanding of the complexity of gene expression in normal and diseased…
Demystifying Single-Cell Spatial Biology with CosMx SMI
By Patrick Danaher, PhD – Principal Biostatistician, NanoString Technologies While admitting to some bias, I’ll…