Compound mutations in HRC and MYBPC3 synergistically increase cardiac pathogenicity
RNA-seq (gene expression) · mouse · 12 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
- Mus musculus (mouse)
- Samples
- 12 samples: 3 × Non transgenic vs 3 × MYBPC3Δ25bp homozygous vs 3 × HRCS96A mutant heterozygous vs 3 × HRCS96A Het+MYBPC3Δ25bp HomGroups 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.
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 GSE279737_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 PRJNA1174185 and SRA study SRP539190. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 12 samples.
How we read this: 4 replicated groups read from 12 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.
- GSM8579419 Non transgenic_1 Non transgenic
- GSM8579420 Non transgenic_2 Non transgenic
- GSM8579421 Non transgenic_3 Non transgenic
- GSM8579422 MYBPC3Δ25bp homozygous_1 MYBPC3Δ25bp homozygous
- GSM8579423 MYBPC3Δ25bp homozygous_2 MYBPC3Δ25bp homozygous
- GSM8579424 MYBPC3Δ25bp homozygous_3 MYBPC3Δ25bp homozygous
- GSM8579425 HRCS96A mutant heterozygous_1 HRCS96A mutant heterozy…
- GSM8579426 HRCS96A mutant heterozygous_2 HRCS96A mutant heterozy…
- GSM8579427 HRCS96A mutant heterozygous_3 HRCS96A mutant heterozy…
- GSM8579428 HRCS96A Het+MYBPC3Δ25bp Hom_1 HRCS96A Het+MYBPC3Δ25bp…
- GSM8579429 HRCS96A Het+MYBPC3Δ25bp Hom_2 HRCS96A Het+MYBPC3Δ25bp…
- GSM8579430 HRCS96A Het+MYBPC3Δ25bp Hom_3 HRCS96A Het+MYBPC3Δ25bp…
- GSE267256 Bulk RNA-seq analysis reveals the crucial role of Collagen triplex helix repeat containing-1 (Cthrc1) cardiac fibroblasts for ventricular remodeling after myocardial infarction 17 samples shares hrc, cardiac
- GSE261428 Single cell RNA-seq analysis reveals the crucial role of Collagen triplex helix repeat containing-1 (Cthrc1) cardiac fibroblasts for ventricular remodeling after myocardial infarction 2 samples shares hrc, cardiac
- GSE319686 Co-mutations of CTNNB1 and PTEN Synergistically Promote EMT and Drive Aggressive Tumor Progression in Endometrial Cancer. 8 samples shares synergistically, mutations
- GSE289500 N460S on PB2 and I163T on nucleoprotein synergistically enhance the replication and pathogenicity of influenza B virus 8 samples shares synergistically, pathogenicity
- GSE319621 Increased Th17 Cell Pathogenicity in Periodontitis: Association of Zap70 7 samples shares pathogenicity, increase
- GSE263316 Nuclear receptor Nur77 and Yin-Yang 1 synergistically increase mitochondrial abundance and activity in macrophages [RNA-seq] 6 samples shares synergistically, increase
- GSE263317 Nuclear receptor Nur77 and Yin-Yang 1 synergistically increase mitochondrial abundance and activity in macrophages. 9 samples shares synergistically, increase
- GSE263315 Nuclear receptor Nur77 and Yin-Yang 1 synergistically increase mitochondrial abundance and activity in macrophages [ChIP-seq] 3 samples shares synergistically, increase
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.