Joint-snhmC-seq – simultaneously profile 5hmC and true 5mC in single cells
Oxidative modification of 5-methylcytosine (5mC) by ten-eleven translocation (TET) DNA dioxygenases generates 5-hydroxymethylcytosine (5hmC), the…
Browsing: Publications
SLAM-Drop-seq reveals mRNA kinetic rates throughout the cell cycle
RNA abundance is tightly regulated in eukaryotic cells by modulating the kinetic rates of RNA…
scProjection – projecting RNA measurements onto single cell atlases to extract cell type-specific expression profiles
Multi-modal single cell RNA assays capture RNA content as well as other data modalities, such…
Eye atlas pinpoints where disease-causing genes are expressed, raising hope for inroads against blindness
Glaucoma and macular degeneration cause blindness in millions of people every year. Hundreds of genes…
How flies develop sight – scientists use single-cell sequencing to identify cell types in the visual system
Researchers discover new types of cells in the brain of developing flies thanks to a…
smRandom-seq – droplet-based high-throughput single microbe RNA sequencing
Bacteria colonize almost all parts of the human body and can differ significantly. However, the…
Spatiotemporal RNA sequencing of the mouse brain identifies gene ‘fingerprint’ for brain aging
A study in mice finds that white matter — the tissue that transmits messages around…
Interactive analysis of single-cell data using flexible workflows with the Single-Cell Toolkit 2
Analysis of single-cell RNA sequencing (scRNA-seq) data can reveal novel insights into the heterogeneity of…
STAM-seq – single-molecule targeted accessibility and methylation sequencing
The short read-length of next-generation sequencing makes it challenging to characterize highly repetitive regions (HRRs)…
A New AI Tool Predicts Gene Expression in a Single Cell
From The Scientist by Carissa Wong, PhD An artificial intelligence tool, scGPT, can identify cell…