Spatial epigenome–transcriptome co-profiling of mammalian tissues
Emerging spatial technologies, including spatial transcriptomics and spatial epigenomics, are becoming powerful tools for profiling…
Browsing: Workflows
A protocol for single nucleus RNA-seq from frozen skeletal muscle
Single-cell technologies are a method of choice to obtain vast amounts of cell-specific transcriptional information…
Blocking abundant RNA transcripts by high-affinity oligonucleotides during transcriptome library preparation
RNA sequencing has become the gold standard for transcriptome analysis but has an inherent limitation…
PIP-seq – microfluidics-free single-cell genomics with templated emulsification
Current single-cell RNA-sequencing approaches have limitations that stem from the microfluidic devices or fluid handling…
Well-TEMP-seq – a microwell-based strategy for massively parallel profiling of single-cell temporal RNA dynamics
The development of single-cell RNA sequencing (scRNA-seq) technology has enabled researchers to study gene expression…
RNA sequencing technologies provide deeper insights into bacteria
RNA sequencing technologies provide valuable insights into how individual cells work. A research team at…
scPrisma – inference of topological signals in single-cell data using spectral template matching
Single-cell RNA sequencing has been instrumental in uncovering cellular spatiotemporal context. This task is challenging…
MATQ_Drop – Multiple-Annealing-and-Tailing-based Quantitative scRNA-seq in Droplets
Synapses are crucial structures that mediate signal transmission between neurons in complex neural circuits and…
scSTAR – single-cell State Transition Across-samples of RNA-seq data
Cell-state transition can reveal additional information from single-cell ribonucleic acid (RNA)-sequencing data in time-resolved biological…
mtscATAC-seq – mitochondrial single-cell assay for transposase-accessible chromatin with sequencing
Natural sequence variation within mitochondrial DNA (mtDNA) contributes to human phenotypes and may serve as…