H19 Regulates Metabolic Reprogramming Through Encoding a Novel Protein GMRSP and Is Protective Against Aortic Dissection.
RNA-seq (gene expression) · human · 10 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
- 10 samples: 10 samples, each with a distinct title — no replicated groupsGroups 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
- GMRSP encoded by lncRNA H19 regulates metabolic reprogramming and alleviates aortic dissectionNature communications · 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 GSE252721_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 PRJNA1062326 and SRA study SRP482511. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 10 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.
- GSM8005804 G1-1
- GSM8005805 G2-1
- GSM8005806 G3-1
- GSM8005807 G4-1
- GSM8005808 G5-1
- GSM8005809 N1-1
- GSM8005810 N2-1
- GSM8005811 N3-1
- GSM8005812 N4-1
- GSM8005813 N5-1
- GSE312602 Protective effects of metformin against ponatinib-induced toxicity in iPSC-derived cardiomyocytes 12 samples shares protective, against
- GSE281165 TFE3 fusion oncoprotein condensates drive epigenetic reprogramming and cancer progression [CUT&RUN] 43 samples shares reprogramming, protein
- GSE277007 Effects of magnolin and chloroform parts of Flos Magnoliae on gene expression in NCI-H1975 cells,and genetic changes after EGFR TKI resistance 16 samples shares h19
- GSE271896 Deep longitudinal immune profiling reveals reprogramming of memory T cells that links to B cell dysregulation with age 868 samples shares reprogramming
- GSE275067 Deep longitudinal immune profiling reveals reprogramming of memory T cells that links to B cell dysregulation with age. 252 samples shares reprogramming
- GSE254617 Integrative Multiomics in the Lung Reveals a Protective Role of Asporin in Pulmonary Arterial Hypertension. 148 samples shares protective
- GSE286918 Metabolic reprogramming and ferroptosis occurring in granulosa cells from patients with diminished ovarian reserve 116 samples shares reprogramming
- GSE242195 Multi-OMIC analysis of Huntington disease reveals a neuroprotective astrocyte state (bulk RNA-Seq) 91 samples shares protective
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.