Copy number alteration heterogeneity exists in many shapes and forms in breast cancer genomes and single-cell genomics is a powerful tool to further our understanding of its nature and significance.

Triggered by (long-duration) hippocampal ripples, spindles facilitate communication between the hipppocampus and neocortex during natural sleep.

Spot-On is an easy-to-use website that makes a rigorous and bias-corrected modeling framework for analysis of single-molecule tracking experiments available to all.

New open-source method contains all the tools for extracting open chromatin or RNA from thousands of single cells in parallel for <5% of the cost of state-of-the-art commercial alternatives, paving the way for whole-tissue atlasing and new protocol development.

Single cell expression data can be used to determine how regulatory transcription factors and target genes are connected, and is especially useful when studying transcription factors controlling heterogeneous cell states.

An iterative self-assembling algorithm identifies the intrinsic structures in single-cell transcriptomic data and helps to discover new cell populations that are undetectable by existing methods.

A new method that measures multiple aspects of chromatin organization in single cells has a possible application to study regulatory processes in heterogeneous samples.

SAK1, a novel cytoplasmic phosphoprotein, is a key intermediate component of the retrograde signaling pathway controlling nuclear gene expression during acclimation of Chlamydomonas cells to singlet oxygen stress.

An open-source user-friendly toolbox implementing machine learning for single-molecule FRET analysis enabling experts and non-experts to reproducibly provide dynamic structural biology insights.

Single-cell transcriptomics reveals altered pathways, gene expression dynamics, and activation of transcriptional programs in human early hematopoiesis during healthy aging and myelodysplastic syndromes.