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NANP Targeting Radio-sensitizes Glioblastoma through TNFR1 Sialylation-Driven Mesenchymal Shift

GSE274135 Homo sapiens (human) RNA-seq (gene expression) 10 samples Submitted 2025/12/07 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 10 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)
Topic
GlioblastomaThis series is part of our curated briefing on it.
Samples
10 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.
Paper
NANP targeting radiosensitizes glioblastoma through TNFR1 sialylation-driven mesenchymal shiftNature communications · 2026
Summary (written by the submitters)
GBM remains a highly devasting brain tumor mainly due to the resistance to radiotherapy (RT), the most impactful first-line treatment for GBM. Our clonal evolution study reveals no dominant RT-resistant clones to target for recurrence prevention, leading us for a genome-wide CRISPR screening for radio-sensitizing targets in GBM. The screening highlighted DNA damage response genes, particularly in the non-homologous end-joining (NHEJ) pathway, such as PRKDC and NHEJ1, as potent radio-sensitizers.
Read the full summary ↓
Additionally, NANP (N-acylneuraminate-9-phosphatase), a critical enzyme in the sialic acid synthetic pathway, was identified as a novel RT-sensitizing target associated with patient outcomes. NANP knockdown induces increased G2/M arrest and apoptosis following radiation, with γH2AX staining and comet assays indicating greater DNA damage. NANP deficiency impairs DNA repair, favoring error-prone NHEJ over homologous recombination (HR). Mechanistically, NANP modulates the sialylation of TNFR1, thereby influencing NF-kB signaling and the mesenchymal (MES) state of glioma stem cells (GSCs), which consequently affects RT sensitivity. Intracranial orthotopic xenograft experiments validate the function of NANP in vivo. In summary, our findings identify NANP as a novel radio-sensitizing target, dependent on TNFR1 sialylation and MES shift, providing a basis for developing innovative RT sensitizers for GBM.
Published in
NANP targeting radiosensitizes glioblastoma through TNFR1 sialylation-driven mesenchymal shift
Ding Y, Zhang ZY, Ezhilarasan R et al. · Nature communications 2026 · PMID 41851195 · doi:10.1038/s41467-026-70853-x
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 GSE274135_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 PRJNA1145082 and SRA study SRP524649. Searching any of these in the dataset finder brings you back here.

Study design
5 conditions, mostly in duplicate
GSC20_shCTL ×2 GSC20_shNANP-1 ×2 GSC20_shNANP-3 ×2 GSC11_shCTL ×2 GSC11_shNANP-1 ×2

Supports a between-group comparison across 10 samples.

How we read this: 5 replicated groups read from 10 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
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