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The cancer-specific lncRNA LISR customizes ribosomes to suppress antitumour immunity

GSE222143 Homo sapiens (human) RNA-seq (gene expression) 24 samples Submitted 2025/09/10 Platform GPL18573
At a glance

RNA-seq (gene expression) · human · 24 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
24 samples: 8 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
The assembly of cancer-specific ribosomes by the lncRNA LISRR suppresses melanoma anti-tumor immunityThe Journal of experimental medicine · 2026
Summary (written by the submitters)
We report the changes in translatome of a melanoma line upon knock down of LISR
Published in
The assembly of cancer-specific ribosomes by the lncRNA LISRR suppresses melanoma anti-tumor immunity
Cinque S, Verheyden Y, Adnane S et al. · The Journal of experimental medicine 2026 · PMID 41201478 · doi:10.1084/jem.20251507
This dataset
Open GSE222143 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 GSE222143_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 PRJNA918368 and SRA study SRP415759. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41201478) ↗
Study design
8 conditions, mostly in triplicate
MM099 treated with siControl ×3 MM099 treated with siLISR ×3 MM099 treated with siControl subunit fraction ×3 MM099 treated with siLISR subunit fraction ×3 MM099 treated with siControl early polysomes … ×3 MM099 treated with siLISR early polysomes fra… ×3 MM099 treated with siControl late polysomes f… ×3 MM099 treated with siLISR late polysomes frac… ×3

Supports a between-group comparison across 24 samples.

How we read this: 8 replicated groups read from 24 sample titles; they account for 24 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
Datasets on a similar topic

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