The function of many biological systems, such as embryos, liver lobules, intestinal villi, and
tumors, depends on the spatial organization of their cells. In the past decade, high …

Spatial omics has emerged as a rapidly growing and fruitful field with hundreds of
publications presenting novel methods for obtaining spatially resolved information for any …

Quantifying aging rate is important for evaluating age-associated decline and mortality. A
blood single-cell RNA sequencing dataset for seven supercentenarians (SCs) was recently …

The advancement of highly multiplexed spatial technologies requires scalable methods that
can leverage spatial information. We present MISTy, a flexible, scalable, and explainable …

Computational and mathematical models are key to obtain a system-level understanding of
biological processes, but their limitations have to be clearly defined to allow their proper …

Experimental approaches to study tissue specificity enable insight into the nature and
organization of the cell types and tissues that constitute complex multicellular organisms …

Single cell RNA‐seq (scRNA‐seq) profiles conceal temporal and spatial tissue
developmental information. De novo reconstruction of single cell temporal trajectory has …

Decoding spatial transcriptomes from single-cell RNA sequencing (scRNA-seq) data has
become a fundamental technique for understanding multicellular systems; however, existing …

Single-cell transcriptomics and spatially-resolved imaging/sequencing technologies have
revolutionized biomedical research. However, they suffer from lack of spatial information and …

During development, positional information directs cells to specific fates, leading them to
differentiate with their own transcriptomes and express specific behaviors and functions …