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RNA-seq profiling of radioiodine-treated differentiated thyroid cancer cells reveals DDR pathway regulation during iodine tolerance

GSE297164 Homo sapiens (human) Single-cell RNA-seq 8 samples Submitted 2026/06/18 Platform GPL9052
At a glance

Single-cell RNA-seq · human · 8 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
Organism
Homo sapiens (human)
Topic
Thyroid cancerThis series is part of our curated briefing on it.
Samples
8 samples: 4 × K1 cell, Control vs 4 × K1 cell, irradiatedGroups 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
Inhibition of ATM reverses radioiodine resistance in differentiated thyroid cancer via genotoxic stress amplificationJournal of translational medicine · 2026
Summary (written by the submitters)
Aim: To investigate the role of ataxia-telangiectasia mutated (ATM) in thyroid cancer (TC) progression and radioactive iodine (RAI) resistance, exploring its potential as a therapeutic target. Methods: Single-cell RNA sequencing of 28 TC tumors / normal tissues traced ATM dynamics during dedifferentiation. Clinical validation used tissue microarrays (TMAs) on 89 RAI resistance (RAIR) and RAI-avid differentiated thyroid cancer (DTC) specimens.
Read the full summary ↓
Preclinical models evaluated the synergy between the ATM inhibitor AZD1390 and RAI. Mechanistic studies employed RNA-seq, comet assays, cell cycle analysis, and AP site quantification. Results: scRNA-seq revealed progressive ATM upregulation during malignant progression, correlating with cell cycle dysregulation. TMAs confirmed elevated ATM expression in anaplastic thyroid cancer (ATC) vs. papillary thyroid cancer, PTC and RAIR tumors. In vivo, AZD1390 + 131I synergistically suppressed tumor growth and enhanced apoptosis. RAI predominantly induced apurinic/apyrimidinic (AP) sites rather than double-strand breaks (DSBs). ATM inhibition disrupted base excision repair (BER) coordination and G2/M checkpoint control, forcing cells with unresolved AP sites into mitotic catastrophe. Conclusion: ATM mediates RAIR in thyroid cancer by promoting AP site repair and inducing cell cycle arrest. Inhibiting ATM converts repairable damage into lethal DNA lesions, restoring RAI sensitivity, suggesting ATM as a therapeutic target for RAI-refractory thyroid cancer.
Published in
Inhibition of ATM reverses radioiodine resistance in differentiated thyroid cancer via genotoxic stress amplification
Qiu X, Zhao L, Jiang Y et al. · Journal of translational medicine 2026 · PMID 42046098 · doi:10.1186/s12967-026-08190-2
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 GSE297164_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 PRJNA1262923 and SRA study SRP585323. Searching any of these in the dataset finder brings you back here.

Study design
4 × K1 cell, Control vs 4 × K1 cell, irradiated

Supports a between-group comparison across 8 samples.

How we read this: 2 replicated groups read from 8 sample titles; they account for 8 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
More Thyroid cancer datasets

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