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…
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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…
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…
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)…
CeLEry – leveraging spatial transcriptomics data to recover cell locations in single-cell RNA-seq
Single-cell RNA sequencing (scRNA-seq) has revolutionized our understanding of cellular heterogeneity in health and disease.…
scCARE-seq – simultaneous profiling of chromatin architecture and transcription in single cells
The three-dimensional structure of chromatin plays a crucial role in development and disease, both of…
New RNA sequencing technique illuminates how abnormal RNA splicing leads to disease
Blood smear from an adult female with myelodysplastic syndrome. Credit: The Armed Forces Institute of Pathology…
TEQUILA-seq – a versatile and low-cost method for targeted long-read RNA sequencing
Long-read RNA sequencing (RNA-seq) is a powerful technology for transcriptome analysis, but the relatively low…
spinDrop – a droplet microfluidic platform to maximise single-cell sequencing information content
Droplet microfluidic methods have massively increased the throughput of single-cell sequencing campaigns. The benefit of…
Dana-Farber AI-model predicts primary source of cancer using gene sequencing data
Researchers at Dana-Farber Cancer Institute have created an AI-based tool that uses tumor gene sequencing…