Human primary mesothelial cells treated with TGF-β1 and with or without JPH203
Data files
Sep 13, 2024 version files 23.73 GB
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README.md
1.89 KB
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T_1_R1.fastq.gz
1.27 GB
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T_1_R2.fastq.gz
1.28 GB
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T_2_R1.fastq.gz
1.61 GB
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T_2_R2.fastq.gz
1.63 GB
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T_3_R1.fastq.gz
1.52 GB
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T_3_R2.fastq.gz
1.54 GB
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T_4_R1.fastq.gz
1.26 GB
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T_4_R2.fastq.gz
1.28 GB
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TJ_1_R1.fastq.gz
1.58 GB
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TJ_1_R2.fastq.gz
1.60 GB
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TJ_2_R1.fastq.gz
1.31 GB
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TJ_2_R2.fastq.gz
1.33 GB
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TJ_3_R1.fastq.gz
1.66 GB
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TJ_3_R2.fastq.gz
1.68 GB
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TJ_4_R1.fastq.gz
1.58 GB
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TJ_4_R2.fastq.gz
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Abstract
The mesothelial-mesenchymal transition (MMT) of mesothelial cells has been recognized as a critical process during progression of peritoneal fibrosis (PF). Despite its crucial role in amino acid transport and metabolism, the involvement of LAT1 and the potential therapeutic role of its inhibitor, JPH203, in fibrotic diseases remain unexplored.
README: Human primary mesothelial cells treated with TGF-β1 and with or without JPH203
https://doi.org/10.5061/dryad.6hdr7sr7h
This dataset consists of RNA sequencing data from human primary mesothelial cells treated with TGF-β1, both with and without JPH203, an LAT1 inhibitor. The fastq files in this dataset correspond to raw sequencing reads from these experimental conditions, designed to explore the effects of JPH203 on gene expression under TGF-β1-induced fibrotic conditions. It includes fastq.gz files with raw sequencing reads and a supplementary expression.xls file that provides processed gene expression data.
Description of the data and file structure
RNA-seq Fastq Files:
The fastq.gz files contain paired-end reads and are organized by treatment group and replicate number. The filenames follow this structure:
- T_X_R1.fastq.gz / T_X_R2.fastq.gz: Control group (TGF-β1 treatment only), where 'T_X' indicates the replicate number, and '_R1' and '_R2' represent paired-end reads.
- TJ_X_R1.fastq.gz / TJ_X_R2.fastq.gz: Treated group (TGF-β1 + JPH203), with 'TJ_X' for replicate numbers.
Expression.xls File:
The expression.xls file includes the following key columns:
- Gene_ID: Ensembl gene IDs.
- Read counts & FPKM values: Gene expression values for each sample.
- Genomic and functional annotations: Including gene names, GO terms, KEGG pathways, and other relevant metadata.
The file provides a summary of gene-level expression and related biological information for each experimental condition.
Sharing/Access information
This dataset is publicly available at Dryad: DOI: 10.5061/dryad.6hdr7sr7h.
Code/Software
No specific code or software is included in this dataset. Standard RNA-seq analysis tools such as FastQC, STAR, and DESeq2 were used during data processing.