Gene expression profiling of GLP1R-IL17A axis in obesity driven PTPN11-mutant leukemia
RNA-seq (gene expression) · mouse · 30 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
- 30 samples: 30 samples, each with a distinct title — no replicated groupsGroups 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 GSE327968_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 PRJNA1453410 and SRA study SRP691719. Searching any of these in the dataset finder brings you back here.
Supports a case/control comparison: 18 samples read as cases, 12 as controls.
How we read this: Read from 30 sample titles: 30 distinct titles with little repetition. 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.
- GSM9669501 Wild type 1, BM
- GSM9669502 Wild type 2, BM
- GSM9669503 Wild type 3, BM
- GSM9669504 Vehicle 1, BM
- GSM9669505 Vehicle 2, BM
- GSM9669506 Vehicle 3, BM
- GSM9669507 GLP1R agonist treated 1, BM
- GSM9669508 GLP1R agonist treated 2, BM
- GSM9669509 GLP1R agonist treated 3, BM
- GSM9669510 Anti-IL17A-Ab treated 1, BM
- GSM9669511 Anti-IL17A-Ab treated 2, BM
- GSM9669512 Anti-IL17A-Ab treated 3, BM
- GSM9669513 GLP1R agnoist and Anti-IL17A-ab treated 1, BM
- GSM9669514 GLP1R agnoist and Anti-IL17A-ab treated 2, BM
- GSM9669515 GLP1R agnoist and Anti-IL17A-ab treated 3, BM
- GSM9669516 Wild type 1, macrophage
- GSM9669517 Wild type 2, macrophage
- GSM9669518 Wild type 3, macrophage
- GSM9669519 Vehicle 1, macrophage
- GSM9669520 Vehicle 2, macrophage
- GSM9669521 Vehicle 3, macrophage
- GSM9669522 GLP1R agonist treated 1, macrophage
- GSM9669523 GLP1R agonist treated 2, macrophage
- GSM9669524 GLP1R agonist treated 3, macrophage
- GSM9669525 Anti-IL17A-Ab treated 1, macrophage
- GSM9669526 Anti-IL17A-Ab treated 2, macrophage
- GSM9669527 Anti-IL17A-Ab treated 3, macrophage
- GSM9669528 GLP1R agnoist and Anti-IL17A-ab treated 1, macrophage
- GSM9669529 GLP1R agnoist and Anti-IL17A-ab treated 2, macrophage
- GSM9669530 GLP1R agnoist and Anti-IL17A-ab treated 3, macrophage
- GSE282908 Control of Circadian Glucose Metabolism through BMAL1-HIF Axis in Obesity 51 samples shares obesity, axis
- GSE264595 The XPO7-NPAT axis represents key vulnerabilities in TP53-mutated acute myeloid leukemia (RNA-Seq) 18 samples shares leukemia, axis
- GSE294999 Obesity-driven inflammation enables triple-negative breast cancer progression through immunosuppression [scRNA-Seq] 16 samples shares obesity, driven
- GSE313096 Leukemia aggressiveness is driven by chromatin remodeling and expression changes of core regulators 40 samples shares leukemia, driven
- GSE280195 Leukemia aggressiveness is driven by chromatin remodeling and expression changes of core regulators [ChIP-seq] 25 samples shares leukemia, driven
- GSE264594 The XPO7-NPAT axis represents key vulnerabilities in TP53-mutated acute myeloid leukemia (ATAC-Seq) 9 samples shares leukemia, axis
- GSE262523 Diet-Induced Obesity Disrupts Sexually Dimorphic Gene Expression in Liver and Adipose Tissue in Mice 48 samples shares obesity
- GSE304862 Semaglutide and exercise synergy in obesity: preserving muscle mass and uncovering organ crosstalk 209 samples shares obesity
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.