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.

Sequential introduction of transcription factors enables large-scale generation of induced motor neurons (iMNs) from human somatic cells, and transplantation of iMNs exhibit therapeutic effects in spinal cord injury model.

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.

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 RNA-sequencing resolves the transcriptional landscape of asexual development in Toxoplasma gondii, revealing concerted genetic programs to Plasmodiumfalciparum and a novel transcriptional factor that controls antigen switching.

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.

Single cell analysis reveals how period differences between cells and cell-to-cell coupling generates the spatial structure of the plant circadian clock.

An individualized cross-frequency coupling approach identified slow oscillation-spindle coupling strength as a novel mechanism that mediates memory formation during cortical maturation.

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

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.