RNA-Seq Blog Transcriptome Research & Industry News
The understanding of individual cells has enormously improved with the application of single-cell RNA-sequencing approaches, enabling researchers to...
Read More »New method to add “Time” resolution to your single-cell RNA-seq
Rapid microfluidic isolation of virally infected primary bronchial epithelial cells for single-cell RNA sequencing
Single-cell RNA sequencing (scRNA-seq) of the bronchial epithelium enables examination of cellular subtypes and their responses to viral infections. Researchers from the University of Southampton have...
Read More »CIM-seq – an unsupervised method for physical cell interaction profiling of complex tissues
Cellular identity in complex multicellular organisms is determined in part by the physical organization of cells. However, large-scale investigation of the...
Read More »SMOOTH-seq – single-cell genome sequencing of human cells on a third-generation sequencing platform
There is no effective way to detect structure variations (SVs) and extra-chromosomal circular DNAs (ecDNAs) at single-cell whole-genome level. Researchers from Peking University have developed...
Read More »sci-Space – a new method for embryo-scale, single-cell spatial transcriptomics
Researchers from the University of Washington introduce “sci-Space,” a new approach to spatial transcriptomics that can retain single-cell resolution and spatial heterogeneity at scales much larger...
Read More »Machine learning algorithm predicts how genes are regulated in individual cells
A team of scientists at the University of Illinois Chicago has developed a software tool that can help researchers more efficiently identify the regulators...
Read More »Single-cell transcriptome analysis workflow for specific immune cell types in breast cancer models
Single-cell transcriptomics is a powerful tool to study previously unrealized cellular heterogeneity at the resolution of individual cells. Most of the previous...
Read More »yeastDrop-Seq – a yeast-optimized scRNA-Seq method
Stochastic gene expression leads to inherent variability in expression outcomes even in isogenic single-celled organisms grown in the same environment. The Drop-Seq technology facilitates...
Read More »COVseq – Low-cost method for finding new coronavirus variants
Researchers at Karolinska Institutet in Sweden have developed a sequencing technology for cost-effective surveillance of the global spread of new SARS-CoV-2 variants. The technique is presented...
Read More »LACE-seq – global profiling of RNA-binding protein target sites
RNA-binding proteins (RBPs) have essential functions during germline and early embryo development. However, current methods are unable to identify the in vivo targets of a RBP in these low-abundance...
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