Single-cell genomics has the potential to revolutionize the study of plant development and
tissue-specific responses to environmental stimuli by revealing heretofore unknown players …

Background The rapid development of single-cell RNA-sequencing (scRNA-seq)
technologies has led to the emergence of many methods for removing systematic technical …

The transcriptome contains rich information on molecular, cellular and organismal
phenotypes. However, experimental and statistical limitations constrain sensitivity and …

Single‐cell RNA sequencing allows highly detailed profiling of cellular immune responses
from limited‐volume samples, advancing prospects of a new era of systems immunology …

Deciphering immune recognition is critical for understanding a broad range of diseases and
for the development of effective vaccines and immunotherapies. Efforts to do so are limited …

How stem cells self-organize to form structured tissues is an unsolved problem. Intestinal
organoids offer a model of self-organization as they generate stem cell zones (SCZs) of …

Differential expression analysis of single-cell RNA sequencing (scRNA-seq) data is central
for characterizing how experimental factors affect the distribution of gene expression …

The development of DNA-barcoded antibodies to tag cell surface molecules has enabled
the use of droplet-based single-cell sequencing (dsc-seq) to profile protein abundances …

Single-cell RNA sequencing (scRNA-seq) techniques provide high-resolution data on
cellular heterogeneity in diverse tissues, and a critical step for the data analysis is cell type …

Defining the mechanisms that generate specialized cell types and coordinate their functions
is critical for understanding organ development and renewal. New tools and discoveries are …