BrainGutOmics is a comprehensive platform that combines single-cell transcriptome and spatial transcriptomic datasets to explore the complex interactions between the brain and gut ecosystems. Our database covers a vast range of data, including scRNA-seq and spatial transcriptomics from 310 brain tissues and 137 gut tissues, along with various neurological and gastrointestinal diseases. BrainGutOmics provides a wide array of analytical and visualization tools for studying cell types, gene regulatory networks, and microbiome interactions,enabling comprehensive evaluations of cellular environments, developmental processes, and disease mechanisms.
The BrainOmics module leverages single cell sequencing to provide detailed cellular insights. We have gathered 310 scRNA-seq datasets and 79 spatial transcriptomics datasets from brain tissues. Each dataset has been standardized and analyzed using SCENIC for gene regulatory networks. Through Shiny, users can interactively explore cell clustering, expression data, and regulatory networks, making all visualizations and data tables accessible and user-friendly.
BrainDisease includes 8 sub-modules: BrainLandscape, BrainDiz, BrainScMarker, BrainTargetDiscovery, BrainDrugScreening, BrainDrugGenome, BrainbioMarker, and BrainDiseaseEnrichment. This section explores neurological diseases from a multi-omics perspective, covering single-cell landscapes, biomarkers, therapeutic target genes, drug discovery based on target genes, and disease status assessment using single-cell expression data.
GutOmics includes 8 sub-modules: GutAtlas, GutST, GutMethylation, GutCellMarker, PanCancerMeta, MetaDistribution, MetaDiseaseMarker, and MetaDynamics. This section offers extensive data analysis at the single-cell level for gut tissues, including gene regulatory networks, spatial transcriptomics, DNA methylation, and cell type markers. Additionally, it covers microbiome distribution and disease markers across species, providing valuable insights into gut biology and disease mechanisms.
Brain2Gut includes 9 sub-modules: BrainGRN, GutGRN, TFshare, BrainGutAxis, HostMicrobeInter, BrainTropism, GutTropism, BrainCellDeathSig, and GutCellDeathSig. This section investigates the regulatory pathways of the brain-gut axis, viral receptor expression patterns, shared regulatory factors, and cell death pathways in both brain and gut tissues. It helps researchers understand the complex interactions and communication between the brain and gut, crucial for studying related diseases and conditions.
CrossSpecies includes 4 sub-modules: Couple, BrainEvolution, GutEvolution, and TFevo. This section provides cross-species gene evolution analysis, homologous gene conversion data, and comprehensive atlases of brain and gut tissues across different species. These tools enable researchers to compare and understand biological mechanisms and evolutionary processes across species, fostering a deeper understanding of genetic and molecular conservation and divergence.
OnlineTools includes 8 sub-modules: SCAN_Cerebro, SCAN_SVA, SCAN_Methylscaper, SCAN_Circos, SCAN_RNAseqTool, SCAN_Association, SCAN_WGCNA, and SCAN_Heatmap. This section offers a suite of powerful tools for data analysis and visualization, supporting a wide range of research needs. These tools facilitate the analysis of single-cell RNA sequencing data, methylation patterns, genetic associations, and network analyses, providing robust support for complex data interpretation and discovery in brain and gut research.