1Spatial transcriptomic landscape unveils immunoglobin-associated senescence as a hallmark of agingSource: STOmics DB (ID: STT0000039 )

To systematically characterize the loss of tissue integrity and organ dysfunction resulting from aging, we produced an in-depth spatial transcriptomic profile of nine tissues in male mice during aging. We showed that senescence-sensitive spots (SSSs) colocalized with elevated entropy in organizational structure and that the aggregation of immunoglobulin-expressing cells is a characteristic feature of the microenvironment surrounding SSSs. Immunoglobulin G (IgG) accumulated across the aged tissues in both male and female mice, and a similar phenomenon was observed in human tissues, suggesting the potential of the abnormal elevation of immunoglobulins as an evolutionarily conserved feature in aging. Furthermore, we observed that IgG could induce a pro-senescent state in macrophages and microglia, thereby exacerbating tissue aging, and that targeted reduction of IgG mitigated aging across various tissues in male mice. This study provides a high-resolution spatial depiction of aging and indicates the pivotal role of immunoglobulin-associated senescence during the aging process.

2stereo-seq data of primary lung and liver organoidSource: STOmics DB (ID: STT0000115 )

Spatial transcriptomics technologies have demonstrated exceptional performance in characterizing brain and visceral organ tissues, as well as brain and retinal organoids. However, it has not yet been proven whether spatial transcriptomics can effectively characterize primary tissue-derived organoids, as the standardized tissue sectioning or slicing methods are not applicable for such organoids. Herein, we present a technique for organoid-spatially resolved transcriptomics based on organoid lamination. Primary mouse lung and liver-derived organoids were used in this study. The organoids were formulated using the droplet-engineering method, and laminated using a homemade device with weight compression. This technique preserved most cells in individual organoids while maintaining delicate epithelium structures in laminated domains that can be recognized through visual segmentation. The mouse lung and liver organoids were resolved comprising various cell types, including alveolar cells, damage-associated transient progenitor cells, basal cells, macrophages, endothelial cells, fibroblasts, hepatocytes, and hepatic stellate cells. The distribution and count of cells were confirmed using immunohistology and identified with spatial transcriptomic features. This study reports first the automated and integrated spatial transcriptomics method for primary organoids. It has the potential to standardize and rapidly characterize primary tissue-derived organoids

3Single-cell and spatiotemporal transcriptomic reveals the effects of microorganisms on immunity and metabolism in mouse liverSource: STOmics DB (ID: STT0000034 )

The gut-liver axis is a complex bidirectional communication pathway between the intestine and the liver in which microorganisms and their metabolites from the intestine flow through the portal vein to the liver and influence liver function. In a sterile environment, the phenotype or function of the liver is altered, yet there are few studies on the specific cellular and molecular effects of microorganisms on the liver. Towards this aim, we constructed single-cell and spatial transcriptomic (ST) profiles of germ-free (GF) and specific pathogen-free (SPF) mice livers. The single cell RNA sequencing (scRNA-seq) found that the proportion of the vast majority of immune cells in GF mice was significantly reduced, especially natural killer T (NKT) cells, IgA plasma cells (IgAs), and Kupffer cells (KCs). The spatial enhanced resolution omics-sequencing (Stereo-seq) confirmed that microorganisms mediated the accumulation of Kupffer cells in the periportal zone. We also unexpectedly found that IgA plasma cells were more numerous and concentrated in the periportal vein in sections from SPF mice, while they were fewer and scattered in GF mice. ST technology also enables precise zonation of liver lobules into eight layers and three patterns based on gene expression level in each layer, allowing us to further investigate the effects of microbes on gene zonation patterns and functions. Furthermore, the untargeted metabolism experiments in the liver discovered that propionic acid levels were significantly lower in GF mice and may be related to the control of genes involved in bile acid and fatty acid metabolism. In conclusion, the combined study of scRNA-seq, Stereo-seq, and untargeted metabolomics revealed immune system defects as well as altered bile acid and lipid metabolic processes at the single-cell and spatial levels in the livers of GF mice. This study has great value for understanding host-microbiota interactions.

4A Spatiotemporal Dynamic Immune Landscape of the COVID-19 Hamster Lung [Spatiotemporal]Source: STOmics DB (ID: STT0000006 )

Although SARS‐CoV‐2‐mediated inflammation has attracted global health concerns since 2019, its pulmonary immunopathology is not fully understood. Here we generated a comprehensive cellular and molecular landscape of healthy and COVID-19 hamster lungs at different timepoints after infection, using single-cell RNA sequencing and spatial transcriptomic sequencing to map the entire progression of COVID-19. We found SARS-CoV-2 could infect naïve T cells and induced cell death to decrease T cell number at the early stage of COVID-19. Besides, we observed the activation and depletion of tissue resident myeloid cells after infection, the accumulation of Isg12+Cst7+ neutrophils and Il10+Spp1+ M2-like macrophages to clean up virus and resolve inflammation. Finally, we identified Trem2+AM and Fbp1+AM subsets during the resolution stage of COVID-19. Our study provided spatiotemporally-resolved insights into the lung cells transcriptome, identified distinct tissue regions of viral infection, lung injury, repair and remodeling.

5Hypoxia induced cellular changes in multiple organs and a novel immunoregulatory cell type in spleenSource: STOmics DB (ID: STT0000005 )

Hypoxia is an important physiological stress causing organ injuries and diseases, but 30 its cellular and olecular impacts across organs were not fully understood. We constructed a single-cell spatiotemporal transcriptome atlas of hypoxia, with 350,979 cells from 99 cell clusters. Utilizing this atlas, we depicted hypoxia induced common cell changes including increase of erythroid cells and drastic changes of immune cells. And we found three major gene groups responding to hypoxia, including hypoxia-inducible factors (HIFs), hemoglobin genes, 35 and electron transport chain (ETC) genes. We also found many disease risk genes to be differentially expressed in multiple organs during hypoxia. Finally, we found a hypoxia induced novel cell type in the spleen, defined as erythroid-derived immunoregulatory cells (EDICs). Our dataset and analysis provided new insights into molecular mechanisms and physiological consequences of hypoxia.

6A cellular resolution spatial transcriptomic landscape of the adult human cortexSource: STOmics DB (ID: STT0000059 )

In our pursuit of creating a comprehensive human cortical atlas to understand human intelligence, we examined the single-nuclei transcriptomes of 307,738 cells alongside spatial transcriptomics data from 46,948 VISIUM spots and 1,355,582 Stereo cells. Atlases reveal distinct expression patterns and spatial arrangements of cortical neural cell types. Glutamatergic neurons exhibit precise laminar patterns, often mirroring expression patterns in adjacent cortical regions. Overlaying our atlas with functional networks delineated substantial correlations between neural cell types and cortical region function. Notably, regions involved in processing sensory information (pain) display a pronounced accumulation of extratelencephalic neurons. Additionally, our atlas enabled precise localization of the thicker layer 4 of the visual cortex and an in-depth study of the stabilized subplate structure, known as layer 6b, revealed specific marker genes and cellular compositions. Collectively, our research sheds light on the cellular foundations of the intricate and intelligent regions within the human cortex. The visualization is on https://db.cngb.org/stomics/datasets/STDS0000242.

7Spatial transcriptomic data of Oryza longistaminata rhizomeSource: STOmics DB (ID: STT0000024 )

Spatial transcriptomic data of Oryza longistaminata rhizome

8Integrating Single-Cell RNA Sequencing and Spatial Transcriptomics to Map DEGs in AD Across Key Brain RegionsSource: STOmics DB (ID: STT0000099 )

In Alzheimer's disease (AD) research, understanding the spatial distribution of differentially expressed genes (DEGs) within key brain regions is crucial for elucidating disease mechanisms and identifying potential therapeutic targets. In this study, we utilized physiological group chips to integrate single-cell RNA sequencing (scRNA-seq) data with spatial transcriptomics to map DEGs in two critical brain regions: the dorsolateral prefrontal cortex (DLPFC) and the superior temporal gyrus (STG). By combining these advanced technologies, we aimed to observe the spatial arrangement of DEGs in cortical slices, providing insights into the cellular and molecular landscape of AD progression.

9Spatial transcriptomic data of mouse tissueSource: STOmics DB (ID: STT0000087 )

The raw data contains information on ovarian samples and other non-related samples to this study.

10test-2022-0829v1.0.0-titleSource: STOmics DB (ID: STT0000001 )

test-2022-0829v1.0.0-sum