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Transcriptome Analysis Reveals Potential Protective Effects and Biomarkers of Pien Tze Huang on CCl4-induced Liver Cancer (lncRNA and mRNA)

GSE268336 Mus musculus (mouse) RNA-seq (gene expression) 18 samples Submitted 2024/05/26 Platform GPL21103
At a glance

RNA-seq (gene expression) · mouse · 18 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Mus musculus (mouse)
Samples
18 samples
Data you can get
A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Summary (written by the submitters)
Pien Tze Huang (PZH) is a traditional Chinese medicinal formula that has been extensively used in Asia for the treatment of liver diseases. We created two groups of liver cancer mouse models induced by carbon tetrachloride (CCl4): one group received treatment with PZH and the other did not receive any treatment. In the non-PZH treated group, we observed a significant increase in liver function indices including albumin (ALB), alanine aminotransferase (ALT), and aspartate aminotransferase (AST).
Read the full summary ↓
Histological examination using hematoxylin and eosin (HE) staining revealed inflammation around the hepatic vein in the non-PZH treated group. Furthermore, Masson's trichrome staining demonstrated the presence of blue-stained collagen fibers around the hepatic vein in the non-PZH treated group. These findings suggest that PZH may have therapeutic effects on liver inflammation and cancer. To further explore the molecular mechanisms of PZH's action, we conducted mRNA, long non-coding RNA (lncRNA), circular RNA (circRNA), and microRNA (miRNA) sequencing to identify potential drug targets at the transcriptome level. We identified 478 differentially expressed protein-coding transcripts and 68 differentially expressed lncRNA transcripts. Our study provides insights into potential transcriptional therapeutic targets for the clinical use of PZH in treating liver diseases.
This dataset
Download · which file do I need?

Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE268336_RAW.tar (it can run to tens of gigabytes).

3 · Start from the raw reads

Raw sequencing reads

The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.

What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA1116234 and SRA study SRP509825. Searching any of these in the dataset finder brings you back here.

Samples in this study

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