GEO series

Translational control by RPL22L1-specific ribosomes enhances DNA repair and chemoresistance

GSE310281 Homo sapiens (human) RNA-seq (gene expression) 12 samples Submitted 2026/06/21 Platform GPL24676

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: 5 conditions, mostly in duplicateGroups 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)

Ribosome heterogeneity has emerged as a regulatory layer in gene expression, yet its biological roles in cancers remain poorly characterized. Here, we identify RPL22L1, a paralog of the ribosomal protein RPL22, as a key modulator of DNA damage response (DDR) in colorectal cancer cells. DNA damage induces RPL22L1 upregulation and ribosomal incorporation, forming RPL22L1-specific ribosomes.

Read the full summary ↓

Ribosome profiling reveals that RPL22L1-containing ribosomes preferentially translate mRNAs with highly structured 5’ untranslated region (5’UTR). In particular, RPL22L1 enhances the translation of ATRX through a cap-independent mechanism. ATRX subsequently recruits DNA-PKcs to DNA damage sites, thereby enhancing the DNA repair capacity. RPL22L1 loss creates exploitable DDR vulnerabilities, sensitizing cancer cells to cisplatin and PARP inhibitors in vitro and in vivo. Collectively, these findings uncover a specialized ribosome-mediated translational program in DDR and highlight RPL22L1 as a potential therapeutic target in DDR-based cancer therapy.

This dataset

Open GSE310281 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 GSE310281_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 PRJNA1365696 and SRA study SRP646045. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗

Study design

5 conditions, mostly in duplicate

Ribo_CTL ×2 Ribo_L1KD ×2 Ribo_RPL22L1IP ×2 RNA_CTL ×2 RNA_L1KD ×2 Ribo_RPL22L ×1 Ribo_RPL22L1 ×1

Supports a between-group comparison across 10 samples.

How we read this: 5 replicated groups read from 12 sample titles; they account for 10 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

GSM9293326 Ribo_CTL Ribo_CTL
GSM9293327 Ribo_L1KD Ribo_L1KD
GSM9293328 Ribo_RPL22L1
GSM9293329 Ribo_RPL22L1IP Ribo_RPL22L1IP
GSM9293330 RNA_CTL RNA_CTL
GSM9293331 RNA_L1KD RNA_L1KD
GSM9857279 Ribo_CTL-2 Ribo_CTL
GSM9857280 Ribo_L1KD-2 Ribo_L1KD
GSM9857281 Ribo_RPL22L1-2
GSM9857282 Ribo_RPL22L1IP-2 Ribo_RPL22L1IP
GSM9857283 RNA_CTL-2 RNA_CTL
GSM9857284 RNA_L1KD-2 RNA_L1KD

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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.