Single-cell technologies, particularly single-cell RNA sequencing (scRNA-seq) methods,
together with associated computational tools and the growing availability of public data …

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

Dementia in Alzheimer's disease progresses alongside neurodegeneration,,–, but the
specific events that cause neuronal dysfunction and death remain poorly understood. During …

Advances in single-cell isolation and barcoding technologies offer unprecedented
opportunities to profile DNA, mRNA, and proteins at a single-cell resolution. Recently, bulk …

Integrating single-cell multi-omics data is a challenging task that has led to new insights into
complex cellular systems. Various computational methods have been proposed to effectively …

Accurate somatic mutation detection from single-cell DNA sequencing is challenging due to
amplification-related artifacts. To reduce this artifact burden, an improved amplification …

Cell biology is fundamentally limited in its ability to collect complete data on cellular
phenotypes and the wide range of responses to perturbation. Areas such as computer vision …

Genetic mosaicism is the result of the accumulation of somatic mutations in the human
genome starting from the first postzygotic cell generation and continuing throughout the …

The advent of single-cell biology opens a new chapter for understanding human biological
processes and for diagnosing, monitoring, and treating disease. This revolution now …

Assaying for large numbers of low-frequency mutations requires sequencing at extremely
high depth and accuracy. Increasing sequencing depth aids the detection of low-frequency …