METTL3-dependent m6A methylation in atherogenic endothelial inflammation [RNA]
DNA methylation · human · 9 samples
- What it is
- DNA methylationChemical marks on DNA that help switch genes on or off.
- Organism
- Homo sapiens (human)
- Samples
- 9 samples: 3 × OC_RNA# vs 3 × OM_RNA# vs 3 × PC_RNA#Groups 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.
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.
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.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE298180_RAW.tar (it can run to tens of gigabytes).
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 PRJNA1268476 and SRA study SRP588076. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 9 samples.
How we read this: 3 replicated groups read from 9 sample titles; they account for 9 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.
- GSM9009581 OC_RNA#1 OC_RNA#
- GSM9009582 OC_RNA#2 OC_RNA#
- GSM9009583 OC_RNA#3 OC_RNA#
- GSM9009584 OM_RNA#1 OM_RNA#
- GSM9009585 OM_RNA#2 OM_RNA#
- GSM9009586 OM_RNA#3 OM_RNA#
- GSM9009587 PC_RNA#1 PC_RNA#
- GSM9009588 PC_RNA#2 PC_RNA#
- GSM9009589 PC_RNA#3 PC_RNA#
- GSE274217 METTL3-dependent m6A RNA methylation represses transposable elements derived enhancers to suppress naïve pluripotency in human pluripotent stem cells [RNA-Seq] 28 samples shares mettl3-dependent, methylation
- GSE216483 METTL3-dependent m6A RNA methylation regulates activation of the NLRP3 inflammasome 18 samples shares mettl3-dependent, methylation
- GSE261982 Effect of miP-PSTPIP2 overexpression on endothelial gene expression in homeostasis and inflammation. [ext501] 28 samples shares endothelial
- GSE275647 Role of Cancer-Associated Fibroblasts in Prognostic Stratification of Advanced-Stage Gastric Cancer through Interacting with Endothelial and Malignant Epithelial Cells [AGC RNA-seq] 216 samples shares endothelial
- GSE254249 Remodeling of T and endothelial cells during total neoadjuvant therapy in rectal cancer 92 samples shares endothelial
- GSE303084 Pressure Points: Endothelial Responses to Hemodynamic Stress in Health and Pulmonary Arterial Hypertension 72 samples shares endothelial
- GSE327840 RNA-seq profiling of LPS tolerance in monocytes, THP-1, fibroblasts, smooth muscle cells, and endothelial cells 58 samples shares endothelial
- GSE281750 The bladder cancer m6A landscape is defined by global methylation dilution and focal 3′-UTR hypermethylation 54 samples shares methylation
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.