Regulation of eNOS by METTL3 in endothelial cells controls blood pressure via RUNX1b
RNA-seq (gene expression) · human · 14 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)
- Samples
- 14 samples: 10 distinct titles, 2 of them repeatedGroups 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
- Regulation of blood pressure by METTL3 via RUNX1b-eNOS pathway in endothelial cells in miceCardiovascular research · 2025
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 GSE248592_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: 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 PRJNA1044819 and SRA study SRP474054. Searching any of these in the dataset finder brings you back here.
How we read this: Read from 14 sample titles: 10 distinct titles with little repetition. 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.
- GSM7917545 HUVECs, AngII_1, Input
- GSM7917546 HUVECs, AngII_2, Input
- GSM7917547 HUVECs, AngII+Ad-METTL3_1, Input
- GSM7917548 HUVECs, AngII+Ad-METTL3_2, Input
- GSM7917549 HUVECs, AngII_1, IP
- GSM7917550 HUVECs, AngII_2, IP
- GSM7917551 HUVECs, AngII+Ad-METTL3_1, IP
- GSM7917552 HUVECs, AngII+Ad-METTL3_2, IP
- GSM7917553 HUVECs, si-NC_1
- GSM7917554 HUVECs, si-NC_2
- GSM7917555 HUVECs, si-NC_3
- GSM7917556 HUVECs, si-METTL3_1
- GSM7917557 HUVECs, si-METTL3_2
- GSM7917558 HUVECs, si-METTL3_3
- GSE298180 METTL3-dependent m6A methylation in atherogenic endothelial inflammation [RNA] 9 samples shares mettl3, endothelial
- GSE98793 Gene expression analysis in whole blood samples obtained from donors diagnosed with MDD compared to healthy controls 192 samples shares controls, blood
- GSE158592 RNAseq analysis of blood from influenza infected patients and healthy controls SIG-2018 74 samples shares controls, blood
- GSE303084 Pressure Points: Endothelial Responses to Hemodynamic Stress in Health and Pulmonary Arterial Hypertension 72 samples shares endothelial, pressure
- GSE196350 RNAseq analysis of blood from influenza infected patients and healthy controls 69 samples shares controls, blood
- GSE266852 Comparison of differential gene expression in blood PBMCs from healthy controls, patients with rheumatoid arthritis,and patients with lupus using single-cell transcriptome sequencing analysis. 10 samples shares controls, blood
- GSE220870 METTL3 Promotes Histone H3K9 Acetylation through Recruitment of Histone Acetyltransferase 1 to Chromatin 43 samples shares mettl3
- GSE335783 A non-enzymatic role for METTL3 as an Androgen Receptor co-regulator promoting prostate cancer proliferation. 30 samples shares mettl3
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.