Single-cell Stereo-seq reveals the effects of microorganisms on immunity and metabolism in mouse liver
Source: CNGBdb Project (ID CNP0003996)
CC BY 4

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Description: The sterile environment may lead to liver phenotype or function alterations, but there is a lack of systematic studies on this aspect. Therefore, this study utilized a new spatial enhanced resolution omics-sequencing (Stereo-seq) to construct spatial transcriptome (ST) profiles of germ-free (GF) and specific pathogen-free (SPF) mice liver. Combined spatial transcriptomic, single-cell transcriptomic, and metabolomic analyses identified defects in the immune system and altered fatty acid and steroid metabolic processes in the livers of GF mice at a subcellular resolution. Contribute to the understanding of the interactions between host and microbiota.
Data type: Raw sequence reads
Sample scope: Multiisolate
Relevance: Model organism
Submitter: 陈思琏(chensilian); 华大研究院
Literatures
  1. PMID: 38152123
  2. PMID: 40027481
Release date: 2024-12-13
Last updated: 2024-12-13
Statistics: 1 single cell; 3 metabolisms