Dynamic molecular signatures of acute myocardial infarction based on transcriptomics
RNA-seq (gene expression) · human · 15 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
- 15 samples: 7 × CJQ vs 5 × YJXQ vs 3 × JXQGroups 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
- Dynamic molecular signatures of acute myocardial infarction based on transcriptomics and metabolomicsScientific reports · 2024
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 GSE249812_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 PRJNA1050781 and SRA study SRP477172. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 15 samples.
How we read this: 3 replicated groups read from 15 sample titles; they account for 15 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.
- GSM7964827 CJQ1 CJQ
- GSM7964828 CJQ2 CJQ
- GSM7964829 CJQ3 CJQ
- GSM7964830 CJQ4 CJQ
- GSM7964831 CJQ5 CJQ
- GSM7964832 CJQ6 CJQ
- GSM7964833 CJQ7 CJQ
- GSM7964834 JXQ1 JXQ
- GSM7964835 JXQ2 JXQ
- GSM7964836 JXQ3 JXQ
- GSM7964837 YJXQ1 YJXQ
- GSM7964838 YJXQ2 YJXQ
- GSM7964839 YJXQ3 YJXQ
- GSM7964840 YJXQ4 YJXQ
- GSM7964841 YJXQ5 YJXQ
- GSE269269 Single-Cell RNA Sequencing of Peripheral Blood Mononuclear Cells From Acute Myocardial Infarction 10 samples shares myocardial, infarction, acute
- GSE229733 Corticosteroid resistance is predetermined by early immune response dynamics at acute Graft-versus-Host disease onset 122 samples shares dynamic, acute
- GSE339365 Genome-wide H3K4me3 profiling of circulating immune cells reveals dynamic epigenetic reprogramming during acute critical COVID-19 120 samples shares dynamic, acute
- GSE246206 miRNA and mRNA Signatures in Human Acute Kidney Injury Tissue 112 samples shares signatures, acute
- GSE217494 Targeting Immune-Fibroblast Crosstalk in Myocardial Infarction and Cardiac Fibrosis I 44 samples shares myocardial, infarction
- GSE241581 DCAF15 control of cohesin dynamics sustains acute myeloid leukemia 36 samples shares dynamic, acute
- GSE341495 Whole-Transcriptome Profiling Reveals RNA Expression Dynamics and ceRNA Network Remodeling across Health, Sepsis, and Sepsis-Associated Acute Respiratory Distress Syndrome 24 samples shares dynamic, acute
- GSE218391 Targeting Immune-Fibroblast Crosstalk in Myocardial Infarction and Cardiac Fibrosis II 21 samples shares myocardial, infarction
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.