Investigation of common genes and regulatory mechanisms of hyperlipidemia and aortic dissection
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: 6 × control vs 4 × aortic dissection vs 2 × aortic dissectionlGroups 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
- Genome wide DNA methylation and transcriptome integration analysis reveals potential markers in type A aortic dissection pathogenesisScientific reports · 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 GSE267434_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 PRJNA1111506 and SRA study SRP507607. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 12 samples.
How we read this: 3 replicated groups read from 14 sample titles; they account for 12 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.
- GSM8266738 control-1 control
- GSM8266739 control-2 control
- GSM8266740 control-3 control
- GSM8266741 control-4 control
- GSM8266742 control-5 control
- GSM8266743 aortic dissectionl-1 aortic dissectionl
- GSM8266744 aortic dissectionl-2 aortic dissectionl
- GSM8266745 aortic dissection-3 aortic dissection
- GSM8266746 aortic dissection-4 aortic dissection
- GSM8266747 aortic dissection-5 aortic dissection
- GSM8266748 control-6 control
- GSM8266749 aortic dissection-6 aortic dissection
- GSM8266750 aortic dissectionl-2+
- GSM8266751 aortic dissection-4+
- GSE274284 Multi-omics dissection of human RAG deficiency reveals distinctive patterns of immune dysregulation but a common inflammatory signature 63 samples shares dissection, common
- GSE288033 Functional dissection of ovarian aging-associated genes NDUFS5 and UBE2L3 through integrated genomic analyses and validation 62 samples shares dissection
- GSE330891 Spatial and cell type specific molecular genetic investigations of inflammatory myopathies with selective perifascicular injury. 301 samples shares investigation
- GSE182604 Integrative gene regulatory analysis reveals transcriptional mechanisms required in mature human hepatocytes and during in vitro hepatocyte differentiation (scRNA-Seq) 18 samples shares regulatory
- GSE253568 Regulatory T cells and IFN-γ-producing Th1 cells play a critical role in the pathogenesis of Sjögren’s Syndrome 17 samples shares regulatory
- GSE303045 Single Cell Multiomics Across Nine Mammals Reveals Cell Type Specific Regulatory Conservation in the Brain 132 samples shares regulatory
- GSE330780 Dissection of innate-immune-ligand- and interferon-protein-mediated transcriptional responses in human THP1 cell states 117 samples shares dissection
- GSE261258 Human regulatory memory B cells defined by expression of TIM-1 and TIGIT are dysfunctional in Multiple Sclerosis. 89 samples shares regulatory
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.