IL-22-dependent dysbiosis and mononuclear phagocyte depletion contribute to steroid-resistant gut graft-versus-host disease in mice II

UID: 10774

Author(s): Song, Qingxiao, Zeng, Defu

Description: Summary from the GEO: "CD4+ and CD8+ T cells can reciprocally differentiate into Th/Tc1, Th/Tc17 and Th/Tc22. Although alloreactive Th/Tc1 cells play a critical role in initiating pathogenesis of gut acute graft-versus-host disease (Gut-aGVHD), the pathogenic T cells in steroid-resistant Gut-aGVHD (SR-Gut-aGVHD) remains unclear. Here, we show that in murine models of SR-Gut-aGVHD, the pathogenesis is associated with reduction of IFN-g+ Th/Tc1 and IL-17A+IL-22- Th/Tc17 cells but expansion of IL-17-IL-22+ Th/Tc22, particularly Tc22 cells. The IL-22 from Th/Tc22 cells causes dysbiosis."

Overall design from the GEO: "Examination of gut microbiome difference in the mouse model of acute gut GVHD"

Subject of Study

Subject(s)

Access via GEO
Plain Text files with processed data from the experiment
Accession #: GSE159418

Access via SRA
miRNA Seq of 118 Samples
Accession #: SRP287188

Access via BioProject
Additional information about the overall inititative.
Accession #: PRJNA668828
Access Restrictions: Free to All
Access Instructions: The NCBI Gene Expression Omnibus, SRA, and BioProject databases provide open access to these files.
Associated Publications: Song Q, Wang X, Wu X, et al. IL-22-dependent dysbiosis and mononuclear phagocyte depletion contribute to steroid-resistant gut graft-versus-host disease in mice. Nature Communications. 2021; 12:805.
Data Type: Genomic
Equipment Used: Illumina MiSeq
The MiSeq is an integrated instrument that performs clonal amplification, genomic DNA sequencing, and data analysis with base calling, alignment, variant calling, and reporting in a single run.
Software Used: SRA Toolkit
The NCBI SRA Toolkit enables reading ("dumping") of sequencing files from the SRA database and writing ("loading") files into the .sra format.
Dataset Format(s): Plain Text, SRA
Data Tool(s): miRNA-Seq
Dataset Size: 12 KB (TXT), 13.22 Gb (SRA)

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