Aberrant Upregulation of Histamine N-Methyltransferase Exacerbates Pathological Cardiac Hypertrophy and Heart Failure via Disruption of SAM/Frizzled-2/ CaMKII Signaling Pathway [RNA-seq]
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 × NMCMs AdCon vs 3 × NMCMs AdOE vs 3 × NMCMs AdCon+PE vs 3 × NMCMs AdshHNMT+PEGroups 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
- Histamine N-methyltransferase upregulation, cardiac hypertrophy, and heart failureEuropean heart journal · 2026
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 GSE307584_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 PRJNA1322343 and SRA study SRP618696. 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.
- GSM9227378 NMCMs AdCon 1 NMCMs AdCon
- GSM9227379 NMCMs AdCon 2 NMCMs AdCon
- GSM9227380 NMCMs AdCon 3 NMCMs AdCon
- GSM9227381 NMCMs AdOE 1 NMCMs AdOE
- GSM9227382 NMCMs AdOE 2 NMCMs AdOE
- GSM9227383 NMCMs AdOE 3 NMCMs AdOE
- GSM9227384 NMCMs AdCon+PE 1 NMCMs AdCon+PE
- GSM9227385 NMCMs AdCon+PE 2 NMCMs AdCon+PE
- GSM9227386 NMCMs AdCon+PE 3 NMCMs AdCon+PE
- GSM9227387 NMCMs AdshHNMT+PE 1 NMCMs AdshHNMT+PE
- GSM9227388 NMCMs AdshHNMT+PE 2 NMCMs AdshHNMT+PE
- GSM9227389 NMCMs AdshHNMT+PE 3 NMCMs AdshHNMT+PE
- GSE278216 SORLA upregulation suppresses global pathological effects in aged tauopathy mouse brain 115 samples shares upregulation, pathological
- GSE272152 Optimizing murine sample sizes for RNA-seq studies revealed from large-scale comparative analysis 479 samples shares sam
- GSE292884 RNA Sequencing of Liver Samples from UM-HET3 Mice Exposed to Various Compounds from the ITP Study 182 samples shares sam
- GSE264002 Transcriptome profiling of ovaries in aged mice administered with individual ingredients of Samul-tang 127 samples shares sam
- GSE333820 Transcriptome profiling of ovaries in aged mice administered additional Samul-tang-associated compounds 96 samples shares sam
- GSE324503 RNA sequencing of nasal lavage samples from mock- and Streptococcus pneumoniae-infected infant mice 73 samples shares sam
- GSE117677 Influence of low-input RNA from FF and FFPE samples on gene expression quantification by NanoString, microarray and RNA-seq: a comparative study [RNA-seq] 66 samples shares sam
- GSE262441 Transcriptomic analysis of whole mouse tibia samples 48 samples shares sam
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.