The development of spatial transcriptomics (ST) technologies has transformed genetic
research from a single-cell data level to a two-dimensional spatial coordinate system and …

Recent experimental developments in genome-wide RNA quantification hold considerable
promise for systems biology. However, rigorously probing the biology of living cells requires …

Single-cell RNA-sequencing has greatly increased the spatiotemporal resolution of root
transcriptomics data, but we are still only scratching the surface of its full potential. Despite …

Phenotypic plasticity of cancer cells can lead to complex cell state dynamics during tumor
progression and acquired resistance. Highly plastic stem-like states may be inherently drug …

Single-cell RNA sequencing (scRNA-seq) has emerged as a powerful tool for investigating
cellular heterogeneity through high-throughput analysis of individual cells. Nevertheless …

Single-cell sequencing technologies enhance our understanding of cellular dynamics
throughout pregnancy. We outlined the workflow of single-cell sequencing techniques and …

In various biological contexts, cells receive signals and stimuli that prompt them to change
their current state, leading to transitions into a future state. This change underlies the …

Single-cell RNA-seq technology provides an unprecedented opportunity to allow
researchers to study the biological heterogeneity during cell differentiation and development …

During development, mulitpotent cells differentiate through a hierarchy of increasingly
restricted progenitor cell types until they realize specialized cell types. A cell differentiation …

Epigenetic heterogeneity underlies acquired resistance to therapy in several cancer types.
Small cell lung cancer (SCLC) is a particularly recalcitrant form of lung cancer that …