A transcriptomic signature that predicts pre-hypertension in adolescence and higher systolic blood pressure in childhood
RNA-seq (gene expression) · human · 31 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
- 31 samples
- 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 transcriptomic signature that predicts prehypertension in adolescence and higher systolic blood pressure in childhoodJCI insight · 2025
Read the full summary ↓
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 GSE312011_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 PRJNA1372053 and SRA study SRP650421. Searching any of these in the dataset finder brings you back here.
The grouping that defines any comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Sample titles run Sample 1 … Sample 31 and carry no group information.
- GSM9336144 Sample 1
- GSM9336145 Sample 2
- GSM9336146 Sample 3
- GSM9336147 Sample 4
- GSM9336148 Sample 5
- GSM9336149 Sample 6
- GSM9336150 Sample 7
- GSM9336151 Sample 8
- GSM9336152 Sample 9
- GSM9336153 Sample 10
- GSM9336154 Sample 11
- GSM9336155 Sample 12
- GSM9336156 Sample 13
- GSM9336157 Sample 14
- GSM9336158 Sample 15
- GSM9336159 Sample 16
- GSM9336160 Sample 17
- GSM9336161 Sample 18
- GSM9336162 Sample 19
- GSM9336163 Sample 20
- GSM9336164 Sample 21
- GSM9336165 Sample 22
- GSM9336166 Sample 23
- GSM9336167 Sample 24
- GSM9336168 Sample 25
- GSM9336169 Sample 26
- GSM9336170 Sample 27
- GSM9336171 Sample 28
- GSM9336172 Sample 29
- GSM9336173 Sample 30
- GSM9336174 Sample 31
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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.