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Single-cell RNA sequencing of metastatic testicular seminoma reveals the cellular and molecular characteristics of metastatic cell lineage

GSE197778 Homo sapiens (human) Single-cell RNA-seq 4 samples Submitted 2022/03/25 Platform GPL20795
At a glance

Single-cell RNA-seq · human · 4 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
Organism
Homo sapiens (human)
Topic
Testicular cancerThis series is part of our curated briefing on it.
Samples
4 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)
Testicular cancer is the most common solid malignancy in young men. Given the many histological classifications of testicular tumours, seminoma is one of the most treatable cancers. The survival rate in early-stage disease was more than 90%. Thus, seminoma at the cellular and molecular levels, especially at the single-cell level, is worth studying.
Read the full summary ↓
We performed a single-cell RNA sequencing (scRNA-seq) study on a patient who was diagnosed with testicular seminoma with lymph node metastasis. This study presented tumour tissue, PBMC, pelvic and renal hilus lymph node in a total of 18,206 high-quality single-cell transcriptome information. The characteristics of metastatic cell lineage were revealed by the comparison between different tumour cell subtypes at the scRNA level. A single-cell map of testicular seminoma with lymph node metastasis was constructed by scRNA-seq. We discovered the gene expression characteristics of the tumour cells in testicular seminoma, especially metastatic tumour cells. KRT8 and KRT18 were commonly expressed in the three tumour cell subtypes. However, TCF7L1, SCG3 and SV2C were the specifically expressed genes of tumour cell subtypes in primary tumour sites. Some molecular markers specifically expressed by the metastatic cell lineage, such as POU5F1, were identified. We revealed the molecular characteristics of testicular seminoma at the single-cell level, especially the metastatic tumour cells. This study could provide new insights into the diagnosis and treatment of testicular seminoma.
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 GSE197778_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 PRJNA812034 and SRA study SRP362212. Searching any of these in the dataset finder brings you back here.

Samples in this study

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