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Molecular mechanisms of Target organ damage in youth with primary hypertension

GSE262821 Homo sapiens (human) DNA methylation 288 samples Submitted 2024/07/31 Platform GPL28038Platform GPL20301Platform GPL23227
At a glance

DNA methylation · human · 288 samples

What it is
DNA methylationChemical marks on DNA that help switch genes on or off.
Organism
Homo sapiens (human)
Samples
288 samples: 15 conditions, mostly with about 10 replicates eachGroups 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
A Multi-Omics Approach to Defining Target Organ Injury in Youth with Primary HypertensionbioRxiv : the preprint server for biology · 2024
SuperSeries — this record groups several sub-series.
Summary (written by the submitters)
This SuperSeries is composed of the SubSeries listed below.
Published in
A Multi-Omics Approach to Defining Target Organ Injury in Youth with Primary Hypertension
Ananthamohan K, Brady TM, Arif M et al. · bioRxiv : the preprint server for biology 2024 · PMID 38948714 · doi:10.1101/2024.06.17.599125
This dataset
Open GSE262821 in finder → Find more human RNA-seq datasets →
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.

Series matrix ↓
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 GSE262821_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
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.

Raw reads on ENA ↗

What the files usually look like: Look for beta-value tables or raw IDAT files among the supplementary files.

Also filed as BioProject PRJNA1093435 and SRA study SRP498639. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 38948714) ↗
Study design
15 conditions, mostly with about 10 replicates each
PBMC RNA, Low Blood Pressure, N ×54 PBMC RNA, bulk RNA-Seq, Low Blood Pressure, N ×43 PBMC RNA, High Blood Pressure, H ×37 PBMC RNA, bulk RNA-Seq, High Blood Pressure, H ×32 PBMC RNA, Elevated/Mid Blood Pressure, M ×18 PBMC RNA, bulk RNA-Seq, Mid/Elevated Blood Pr… ×13 PBMC RNA, Low Blood pressure with Low LVMI , ×10 PBMC RNA, High Blood pressure with High LVMI , ×10 +8 more

Supports a between-group comparison across 287 samples.

How we read this: 15 replicated groups read from 288 sample titles; they account for 287 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

+ 248 more — browse all 288 samples with per-sample file links →

Datasets on a similar topic

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Share this dataset

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.