I review recent technological advancements in coupling single-cell transcriptomics with
cellular phenotypes including morphology, calcium signaling, and electrophysiology. Single …

Spatial transcriptomics is a rapidly evolving field, overwhelmed by a multitude of
technologies. This study aims to offer a comparative analysis of datasets generated from …

Advances in spatially-resolved transcriptomics (SRT) technologies have propelled the
development of new computational analysis methods to unlock biological insights. As the …

Emerging spatial omics technologies continue to advance the molecular mapping of tissue
architecture and the investigation of gene regulation and cellular crosstalk, which in turn …

Abstract Three-dimensional Spatial Transcriptomics has revolutionized our understanding of
tissue regionalization, organogenesis, and development. However, existing approaches …

Overcoming sex bias in preclinical research requires not only including animals of both
sexes in the experiments, but also developing proper tools to handle such data. Recent work …

Spatially resolved transcriptomics (SRT) measures mRNA transcripts at thousands of
locations within a tissue slice, revealing spatial variations in gene expression as well as the …

Spatial transcriptomics (ST) has enhanced RNA analysis in tissue biopsies, but interpreting
these data is challenging without expert input. We present Automated Tissue Alignment and …