Combined analysis of metabolomics, proteomics, and transcriptomics to identify biomarkers for resistant hypertension
RNA-seq (gene expression) · human · 30 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
- 30 samples: 10 × N vs 10 × EH vs 10 × RHGroups 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
- Joint Analysis of Multiple Omics to Describe the Biological Characteristics of Resistant HypertensionJournal of clinical hypertension (Greenwich, Conn.) · 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 GSE236442_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 PRJNA990810 and SRA study SRP447196. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 30 samples.
How we read this: 3 replicated groups read from 30 sample titles; they account for 30 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.
- GSM7545004 N1 N
- GSM7545005 N2 N
- GSM7545007 N3 N
- GSM7545008 N4 N
- GSM7545009 N5 N
- GSM7545010 N6 N
- GSM7545011 N7 N
- GSM7545013 N8 N
- GSM7545014 N9 N
- GSM7545015 N10 N
- GSM7545016 EH1 EH
- GSM7545018 EH2 EH
- GSM7545019 EH3 EH
- GSM7545020 EH4 EH
- GSM7545021 EH5 EH
- GSM7545022 EH6 EH
- GSM7545024 EH7 EH
- GSM7545025 EH8 EH
- GSM7545026 EH9 EH
- GSM7545027 EH10 EH
- GSM7545029 RH1 RH
- GSM7545030 RH2 RH
- GSM7545031 RH3 RH
- GSM7545032 RH4 RH
- GSM7545033 RH5 RH
- GSM7545034 RH6 RH
- GSM7545036 RH7 RH
- GSM7545037 RH8 RH
- GSM7545038 RH9 RH
- GSM7545040 RH10 RH
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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.