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Changes in gene expression in L-02 cells after treatment with PBAT material

GSE207757 Homo sapiens Expression profiling by high throughput sequencing 4 samples Submitted 2025/07/02 Platform GPL24676
Summary
We report the application of sequencing technology based on the reference transcriptome in L-02 cells. After using Cutadapt to filter out unqualified sequences (sequencing junctions, low quality sequences, etc.) from the raw data to obtain valid data (Clean Data), a reference genome alignment was performed using Hisat2. Based on the Hisat2 alignment results, transcripts were reconstructed using Stringtie and the expression levels of all genes in each sample were calculated. We found multiple down- and up-regulated genes in L-02 cells of the PBATc treatment group. Cluster heat maps were used to demonstrate differential gene expression patterns, and GO and KEGG pathway enrichment analyses were performed for differentially expressed genes. The results of GO functional annotation analysis showed that the largest number of differential genes were localized in biological processes, mainly including signal transduction, regulation of transcription and DNA-templated. In terms of cellular components, differential genes were mainly concentrated in In terms of cellular components, the differential genes are mainly in membrane, cytoplasm and nucleus, and the common Molecular Functions are protein binding, metal ion binding and DNA binding. The results of KEGG pathway analysis showed that there were differential genes in AMPK and mTOR pathways. Among them, AMPK, mTOR, SIRT1 and PGC-1α protein expression levels were down-regulated. Based on the above results, we examined each pathway protein. This study provides a strong reference for detecting the mechanism of cell damage after PBAT material treatment study.
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Direct links to NCBI, no account and no request form: the whole study as GSE207757_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 4 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA857008 and SRA study SRP385552. Searching any of these in the dataset finder brings you back here.

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