Project description:Spatial transcriptomics links gene expression with tissue morphology, however, current tools often prioritize genomic analysis, lacking integrated image interpretation. To address this, we present Thor, a comprehensive platform for cell-level analysis of spatial transcriptomics and histological images. Thor employs an anti-shrinking Markov diffusion method to infer single-cell spatial transcriptome from spot-level data, effectively combining gene expression and cell morphology. The platform includes 10 modular tools for genomic and image-based analysis, and is paired with Mjolnir, a web-based interface for interactive exploration of gigapixel images. Thor is validated on simulated data and multiple spatial platforms (ISH, MERFISH, Xenium, Stereo-seq). Thor identifies regenerative signatures in heart failure, unbiasedly screens breast cancer hallmarks, resolves fine layers in mouse olfactory bulb, and annotates fibrotic heart tissue. In high-resolution Visium HD data, it enhances spatial gene patterns aligned with histology. By bridging transcriptomic and histological analysis, Thor enables holistic tissue interpretation in spatial biology.
Project description:Spatial transcriptomics links gene expression with tissue morphology, however, current tools often prioritize genomic analysis, lacking integrated image interpretation. To address this, we present Thor, a comprehensive platform for cell-level analysis of spatial transcriptomics and histological images. Thor employs an anti-shrinking Markov diffusion method to infer single-cell spatial transcriptome from spot-level data, effectively combining gene expression and cell morphology. The platform includes 10 modular tools for genomic and image-based analysis, and is paired with Mjolnir, a web-based interface for interactive exploration of gigapixel images. Thor is validated on simulated data and multiple spatial platforms (ISH, MERFISH, Xenium, Stereo-seq). Thor identifies regenerative signatures in heart failure, unbiasedly screens breast cancer hallmarks, resolves fine layers in mouse olfactory bulb, and annotates fibrotic heart tissue. In high-resolution Visium HD data, it enhances spatial gene patterns aligned with histology. By bridging transcriptomic and histological analysis, Thor enables holistic tissue interpretation in spatial biology.
Project description:Protein extracted from glacier-fed stream biofilms, before and after being exposed to a 24h drought (Val Ferret, Switzerland). Associated metagenomics and metatranscriptomics data are available under the NCBI Bioproject PRJNA1273015.
Project description:We describe a custom probe design pipeline targeting the variable regions of bacterial 16S rRNA, compatible with the probe-based chemistry of the 10X Genomics Visium CytAssist platform, enabling spatially resolved bacterial profiling in FFPE tissue. Applied to a cohort of six FFPE colorectal cancer tumor and normal adjacent tissue specimens, we demonstrate the feasibility of a probe-based spatial metatranscriptomics for simultanous profiling of host gene expression and the intratumoral bacterial communities.
Project description:We collected caecal contents from 30 chickens divided into 5 groups (6 birds per group) with each group receiving different quantity of soluble inulin and insoluble cellulose. We isolated DNA, RNA, and proteins to perform metagenomics, metatranscriptomics, and metaproteomics analysis, respectively.