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Single-cell transcriptome landscape in hepatocellular carcinoma of BALB/C mice after azvudine treatment

GSE285359 Mus musculus (mouse) Single-cell RNA-seq 12 samples Submitted 2024/12/28 Platform GPL24247
At a glance

Single-cell RNA-seq · mouse · 12 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
Organism
Mus musculus (mouse)
Samples
12 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)
Hepatocellular carcinoma is the sixth most common malignant tumor in the world, but there is a lack of effective drugs for the treatment of HCC, so it is urgent to find new treatment strategies. Azvudine is the world's first dual-target innovative anti-AIDS drug, which can selectively enter CD4+T lymphocytes to exert immunomodulatory effects.
Read the full summary ↓
In the early stage, we found through a retrospective cohort study that azivudine can significantly reduce all-cause mortality and the incidence of composite disease progression in COVID-19 patients with tumors compared with COVID-19 patients without tumors. Therefore, we performed single-cell RNA sequencing on tumor tissues of BALB/C mice treated with azivudine or treated with vehicle to reveal the changes in the tumor microenvironment of azivudine against liver cancer.
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 GSE285359_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.

Also filed as BioProject PRJNA1203220 and SRA study SRP553921. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 12 more — browse all 12 samples with per-sample file links →

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