the need for high-quality reference data, and the steep learning curve associated with some of the advanced tools and techniques. This report aims to provide a detailed review of the current spatial transcriptomics algorithms, highlighting their advantages and disadvantages, and exploring future perspect...
Here, we use spatial transcriptomics to define the impact of a brief period of sleep deprivation across the brain in male mice. We find that sleep deprivation induced pronounced differences in gene expression across the brain, with the greatest changes in the hippocampus, neocortex, hypothalamus, ...
Transcriptomic analysis only reveals one aspect of cellular function. Spatial multi-omics is a technique that combines spatial transcriptomics with other omics modalities to reveal the multiple layers of cell function. Several methods have been developed to achieve comprehensive spatially resolved molecular ...
In addition, spatial transcriptomics has also been utilized to analyze specific or rare types of lung cancer. Wang et al. integrated scRNA-seq and spatial transcriptomics to study the cellular composition and spatial structure of multiple primary lung cancer (MPLC). They ultimately discovered a MPL...
Spatial transcriptomics (ST) has filled this gap and has been widely used in respiratory studies. This review focuses on the latest iterative technology of ST in recent years, summarizing how ST can be applied to the physiological and pathological processes of the respiratory system, with emphasis...
(large inter-voxel distances that miss many cells and large voxel sizes that blend adjacent cells together). Probe-based capture technologies improve the resolution of spatial transcriptomics, but this limits analysis to a set of pre-defined genes, and may also lead to lower capture efficiency ...
Spatial transcriptomics technologies developed in recent years can provide various information including tissue heterogeneity, which is fundamental in biological and medical research, and have been making significant breakthroughs. Single-cell RNA sequen
To comprehensively document spatial gene expression technologies and data-analysis methods, we present a curated review of literature on spatial transcriptomics dating back to 1987, along with a thorough analysis of trends in the field, such as usage of experimental techniques, species, tissues studied...
Here we review the technological and conceptual advances made possible by spatial transcriptomics in the context of advancing neuroanatomy and discuss how molecular neuroanatomy can redefine mapping of the nervous system. Expected final online publication date for the Annual Review of Neuroscience, Volume ...
Spatial transcriptomics has transformed our understanding of gene expression by preserving the spatial context within tissues. This review focuses on the application of spatial transcriptomics in human cardiac tissues, exploring current technologies with a focus on commercially available platforms. We also ...