The recent boom in microfluidics and combinatorial indexing strategies, combined with low
sequencing costs, has empowered single-cell sequencing technology. Thousands—or even …

Single-cell RNA sequencing (scRNA-seq) technologies allow the dissection of gene
expression at single-cell resolution, which greatly revolutionizes transcriptomic studies. A …

Abnormal epigenetic patterns correlate with effector T cell malfunction in tumours,,–, but the
cause of this link is unknown. Here we show that tumour cells disrupt methionine …

Single-cell RNA sequencing is an increasingly used method to measure gene expression at
the single cell level and build cell-type atlases of tissues. Hundreds of single-cell …

Background Droplet-based single-cell RNA sequence analyses assume that all acquired
RNAs are endogenous to cells. However, any cell-free RNAs contained within the input …

We present SCENIC, a computational method for simultaneous gene regulatory network
reconstruction and cell-state identification from single-cell RNA-seq data (http://scenic …

Background Single-cell transcriptomics allows researchers to investigate complex
communities of heterogeneous cells. It can be applied to stem cells and their descendants in …

These guidelines are a consensus work of a considerable number of members of the
immunology and flow cytometry community. They provide the theory and key practical …

Gene co-expression networks can be used to associate genes of unknown function with
biological processes, to prioritize candidate disease genes or to discern transcriptional …

An ongoing technological revolution is continually improving our ability to carry out very high-
resolution studies of gene expression patterns. Current technology enables the global gene …