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Gene expression profiling of CTCL patient-derived cell lines after GTSF1 knockdown

GSE270818 Homo sapiens (human) RNA-seq (gene expression) 18 samples Submitted 2024/07/02 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 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
Homo sapiens (human)
Samples
18 samples: 6 conditions, mostly in triplicateGroups are read from the sample names, not from the paper. Check the list below.
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.
Paper
Memory T-Cell Phenotype in Cutaneous T-Cell Lymphoma Is Modified by Germline Gene Gametocyte Specific Factor 1Experimental dermatology · 2025
Summary (written by the submitters)
In CTCL, the ectopic expression of Gametocyte Specific Factor 1 (GTSF1) has emerged as a potential prognostic biomarker. High expression of GTSF1 has been associated with a worse overall prognosis for patients. However, the contribution of GTSF1 to CTCL carcinogenesis remains unknown. We performed a shRNA mediated silencing of GTSF1 in three cell lines representing the most common variants of CTCL: Mac2A, representative of primary cutaneous Anaplastic Large Cell Lymphoma; MyLa 2000, representative of Mycosis Fungoides; and SZ4, representative of Sézary Syndrome.
Read the full summary ↓
The three cell lines showed different gene expression profiles, signaling the different clinical behaviors of each variant. In Mac2A, silencing of GTSF1 in CTCL led to T cell activation and production of IFNγ and TNFα. This suugests that GTSF1 contributes to carcinogenesis by partially modifying the effector-memory phenotype of the malignant T cells.
Published in
Memory T-Cell Phenotype in Cutaneous T-Cell Lymphoma Is Modified by Germline Gene Gametocyte Specific Factor 1
Martínez Villarreal A, Gantchev J, Xie P et al. · Experimental dermatology 2025 · PMID 40369846 · doi:10.1111/exd.70123
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 GSE270818_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 PRJNA1128569 and SRA study SRP516230. Searching any of these in the dataset finder brings you back here.

Study design
6 conditions, mostly in triplicate
Mac2A, SCR, ×3 Mac2A, shGTSF1, ×3 MyLa, SCR, ×3 MyLa, shGTSF1, ×3 SZ4, SCR, ×3 SZ4, shGTSF1, ×3

Supports a between-group comparison across 18 samples.

How we read this: 6 replicated groups read from 18 sample titles; they account for 18 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.

Samples in this study
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