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Transcriptome Sequencing of Mouse Cells

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NIAID Data Ecosystem2026-05-10 收录
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https://www.ncbi.nlm.nih.gov/sra/SRP676960
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To investigate the transcriptomic effects of the Tibetan medicine Dracocephalum tanguticum on mouse CD8+ T cells, we performed high-throughput RNA-seq on samples collected from control and treatment groups. Clean reads were aligned to the Mus musculus GRCm38 genome using HISAT2, and gene expression levels were quantified as FPKM with StringTie. Differential expression analysis was conducted using DESeq2 with criteria of |log2FC| > 1 and adjusted p-value < 0.05. Identified DEGs were subjected to functional enrichment analyses, including Gene Ontology (GO), KEGG pathway, and Gene Set Enrichment Analysis (GSEA). Additionally, we analyzed alternative splicing events, UTR annotation, and predicted novel transcripts. Sample correlation analysis, principal component analysis (PCA), and bidirectional clustering were performed to assess sample reproducibility and group separation. Single nucleotide polymorphism (SNP) calling was also conducted to detect potential cSNPs. This dataset provides a comprehensive transcriptomic resource for understanding the molecular mechanisms of Dracocephalum tanguticum intervention in mouse CD8+ T cells.
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2026-02-15
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