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Effect of treatment with Levamisole 1 mM on activated human T-cells

GSE230683 Homo sapiens (human) RNA-seq (gene expression) 12 samples Submitted 2025/04/26 Platform GPL20301
At a glance

RNA-seq (gene expression) · human · 12 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
12 samples: 3 × T-cells, 24-hour activation, Control, Dono vs 3 × T-cells, 24-hour activation, Levamisole 1mM, Dono vs 3 × T-cells, 48-hour activation, Control, Dono vs 3 × T-cells, 48-hour activation, Levamisole 1mM, DonoGroups 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.
Summary (written by the submitters)
To investigate the effects of levamisole treatment on in vitro activated human T-cells, we isolated T-cells from buffy coats from 3 donors. All buffy coats were collected from adult anonymous healthy blood donors (Sanquin Blood Supply, Amsterdam, The Netherlands) who provided written informed consent for usage of the remainder of their blood donation in research.
Read the full summary ↓
Untouched T cells were isolated from PBMCs by negative Magnetic-activated cell sorting (MACS) using the human pan T cell isolation kit (Miltenyi Biotec) according to the manufacturer’s instructions. Purity of the T cell fraction was assessed by flowcytometry for CD3 (>98% for all donors). To investigate the effects of Levamisole treatment on the T-cell immune response we performed bulk RNA sequencing on 24-hour and 48-hour aCD3/aCD28 dynabeads activated T-cells (Gibco, Thermo Fisher Scientific). Levamisole samples were treated with levamisole 1 mM while control samples were treated with the appropriate solvent controls. 3 separate donors were included in this experiment.
This dataset
Open GSE230683 in finder → Find more human RNA-seq datasets →
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.

Series matrix ↓
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 GSE230683_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
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.

Raw reads on ENA ↗

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 PRJNA962125 and SRA study SRP434682. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
3 × T-cells, 24-hour activation, Control, Dono vs 3 × T-cells, 24-hour activation, Levamisole 1mM, Dono vs 3 × T-cells, 48-hour activation, Control, Dono vs 3 × T-cells, 48-hour activation, Levamisole 1mM, Dono

Supports a between-group comparison across 12 samples.

How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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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Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.