Total RNA transcriptomic profiling of mouse thoracic and abdominal perivascular adipose tissue of mice with an adipocyte-specific deletion of PRDM16 and flox control mice.
RNA-seq (gene expression) · mouse · 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
- Mus musculus (mouse)
- Samples
- 15 samples: 4 × aPVAT Ctr M vs 4 × tPVAT Ctr M vs 4 × tPVAT PRDM16cKO M vs 3 × aPVAT PRDM16cKO MGroups 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.
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 GSE297494_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 PRJNA1265084 and SRA study SRP586234. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 15 samples.
How we read this: 4 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.
- GSM8993149 aPVAT Ctr M1 aPVAT Ctr M
- GSM8993150 aPVAT Ctr M2 aPVAT Ctr M
- GSM8993151 aPVAT Ctr M3 aPVAT Ctr M
- GSM8993152 aPVAT Ctr M4 aPVAT Ctr M
- GSM8993153 tPVAT Ctr M1 tPVAT Ctr M
- GSM8993154 tPVAT Ctr M2 tPVAT Ctr M
- GSM8993155 tPVAT Ctr M3 tPVAT Ctr M
- GSM8993156 tPVAT Ctr M4 tPVAT Ctr M
- GSM8993157 aPVAT PRDM16cKO M1 aPVAT PRDM16cKO M
- GSM8993159 aPVAT PRDM16cKO M3 aPVAT PRDM16cKO M
- GSM8993160 aPVAT PRDM16cKO M4 aPVAT PRDM16cKO M
- GSM8993161 tPVAT PRDM16cKO M1 tPVAT PRDM16cKO M
- GSM8993162 tPVAT PRDM16cKO M2 tPVAT PRDM16cKO M
- GSM8993163 tPVAT PRDM16cKO M3 tPVAT PRDM16cKO M
- GSM8993164 tPVAT PRDM16cKO M4 tPVAT PRDM16cKO M
- GSE297495 Total RNA transcriptomic profiling of mouse thoracic and abdominal perivascular adipose tissue of mice with an adipocyte-specific deletion of PRDM16 and flox control mice [snRNA-seq] 2 samples shares prdm16, adipocyte-specific, perivascular, abdominal, thoracic, deletion, adipose, control
- GSE293558 SM22α-lineage stromal cells in perivascular adipose tissue contribute to abdominal aortic aneurysm 2 samples shares perivascular, abdominal, adipose
- GSE305275 PRDM16 controls smooth muscle cell fate in atherosclerosis [RNA-Seq] 16 samples shares prdm16, control
- GSE227692 RNA sequencing of aortic tissues from Prdm16 smooth muscle-specific KO and control mice 6 samples shares prdm16, control
- GSE305277 PRDM16 controls smooth muscle cell fate in atherosclerosis: Fixed-cell scRNAseq datasets [scRNA-seq] 4 samples shares prdm16, control
- GSE305272 PRDM16 controls smooth muscle cell fate in atherosclerosis [ChIP-Seq] 3 samples shares prdm16, control
- GSE194224 Perivascular adipose tissue plasticity in response to angiotensin II 40 samples shares perivascular, adipose
- GSE294746 Adipocyte-specific deletion of gp130 prevents ketogenic AQ1 diet–induced hepatic steatosis 23 samples shares adipocyte-specific, deletion
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.