A benchmarking analysis on single-cell RNA-seq and mass cytometry data reveals the best-performing technique for dimensionality reduction.

Single-cell RNA sequencing data is commonly represented as a uniform manifold approximation and projection (UMAP) plot in which many-dimensional gene expression data is represented in just two ...

The study aims to uncover the immunological basis of Tanshi (phlegm-dampness) constitution—a subhealth type in traditional ...

Created using single-cell sequencing and other genomics techniques, the skin atlas could help scientists better understand how skin, including hair follicles (HFs), is formed, and potentially ...

For the first time, researchers have created a single cell atlas of prenatal human skin to understand how skin forms, and what goes wrong in disease.

What Is Single Cell Sequencing? Single cell sequencing is a collection of methods that researchers use to isolate and analyze sequence information from individual cells. Named the Nature Method of the ...

Researchers have greatly boosted the amount of information that can be obtained using Seq-Well, a technique for rapidly sequencing RNA from single cells. This advance should enable scientists to ...

Through single-cell RNA sequencing, researchers have created a detailed molecular atlas of the skin, which has revealed how cells are coordinated during hair growth and rest. Mammalian skin has the ...

A targeted approach to single-cell RNA sequencing, combined with protein expression quantification and innovative analysis tools, cuts costs and simplifies interpretation of large multi-omic data sets ...

Differentially expressed genes can be identified by pooling single-cell RNA sequencing into the same biological replicates, but the small sample size reduces their power.

For the first time, researchers have created a single cell atlas of prenatal human skin to understand how skin forms, and what goes wrong in disease. Researchers from the Wellcome Sanger Institute ...