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TET1 inhibits the migration and invasion of cervical cancer cells by regulating autophagy

GSE236397 Homo sapiens (human) DNA methylation 14 samples Submitted 2024/03/13 Platform GPL24676
At a glance

DNA methylation · human · 14 samples

What it is
DNA methylationChemical marks on DNA that help switch genes on or off.
Organism
Homo sapiens (human)
Topic
Cervical cancerThis series is part of our curated briefing on it.
Samples
14 samples: 3 × Case9 TET vs 3 × Wild vs 3 × [RNA-Seq] Wild vs 3 × [RNA-Seq] Case9 TETGroups 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
TET1 inhibits the migration and invasion of cervical cancer cells by regulating autophagyEpigenetics · 2024
SuperSeries — this record groups several sub-series.
Summary (written by the submitters)
This SuperSeries is composed of the SubSeries listed below.
Published in
TET1 inhibits the migration and invasion of cervical cancer cells by regulating autophagy
Ren J, Chen X, Li J et al. · Epigenetics 2024 · PMID 38431880 · doi:10.1080/15592294.2024.2323751
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 GSE236397_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: Look for beta-value tables or raw IDAT files among the supplementary files.

Also filed as BioProject PRJNA990741 and SRA study SRP446857. Searching any of these in the dataset finder brings you back here.

Study design
3 × Case9 TET vs 3 × Wild vs 3 × [RNA-Seq] Wild vs 3 × [RNA-Seq] Case9 TET

Supports a between-group comparison across 12 samples.

How we read this: 4 replicated groups read from 14 sample titles; they account for 12 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 Cervical cancer 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.