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N7-methylguanosine tRNA modification promotes tumorigenesis and chemoresistance through WNT/β-Catenin pathway in nasopharyngeal carcinoma

GSE169589 Homo sapiens (human) RNA-seq (gene expression) 20 samples Submitted 2024/03/13 Platform GPL18573Platform GPL23227Platform GPL20795
At a glance

RNA-seq (gene expression) · human · 20 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
Nasopharyngeal carcinomaThis series is part of our curated briefing on it.
Samples
20 samples: 3 × Vector_Polyribosome vs 3 × KO_Input vs 3 × KO_Polyribosome vs 2 × Vector_InputGroups 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)
Treatment selections are very limited for patients with advanced nasopharyngeal carcinoma (NPC) experiencing disease progression. Uncovering the potential mechanism underlying NPC progression is crucial for identify novel treatments. Here we show that N7-methylguanosine (m7G) tRNA modification enzyme METTL1 and its partner WDR4 are significantly elevated in NPC and associated with poor prognosis.
Read the full summary ↓
Loss-of-function and gain-of-function assays demonstrated that METTL1/WDR4 mediated m7G tRNA modification promotes NPC growth and metastasis in vitro and in vivo. Mechanistically, m7G tRNA modification selectively regulates the translation of transcripts with higher percentage of m7G tRNA decoded codons. Moreover, further analysis revealed that METTL1-mediated m7G tRNA modification activates WNT/β-Catenin signaling pathway to promote NPC cell epithelial-mesenchymal transition (EMT) and chemoresistance to cisplatin and docetaxel in vitro and in vivo. Our work uncovers a novel layer of mRNA translation regulation mechanism at codon recognition step mediated by tRNA modification and reveals the critical function of tRNA modification in cancer progression.
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 GSE169589_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 PRJNA717060 and SRA study SRP312034. Searching any of these in the dataset finder brings you back here.

Study design
3 × Vector_Polyribosome vs 3 × KO_Input vs 3 × KO_Polyribosome vs 2 × Vector_Input

Supports a between-group comparison across 11 samples.

How we read this: 4 replicated groups read from 20 sample titles; they account for 11 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 Nasopharyngeal carcinoma datasets

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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.