Mechanism and cellular actions of the potent AMPK inhibitor BAY-3827
RNA-seq (gene expression) · mouse · 64 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
- 64 samples: 8 conditions, mostly with about 8 replicates eachGroups 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
- Mechanism and cellular actions of the potent AMPK inhibitor BAY-3827Science advances · 2025
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 GSE290022_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 PRJNA1225752 and SRA study SRP565082. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 64 samples.
How we read this: 8 replicated groups read from 64 sample titles; they account for 64 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.
- GSM8803923 WT_DMSO_rep1 WT_DMSO
- GSM8803924 WT_MK-8722_rep1 WT_MK-8722
- GSM8803925 WT_BAY_rep1 WT_BAY
- GSM8803926 WT_BAY+MK-8722_rep1 WT_BAY+MK-8722
- GSM8803927 KO_DMSO_rep2 KO_DMSO
- GSM8803928 KO_MK-8722_rep2 KO_MK-8722
- GSM8803929 KO_BAY_rep2 KO_BAY
- GSM8803930 KO_BAY+MK-8722_rep2 KO_BAY+MK-8722
- GSM8803931 WT_DMSO_rep3 WT_DMSO
- GSM8803932 WT_MK-8722_rep3 WT_MK-8722
- GSM8803933 WT_BAY_rep3 WT_BAY
- GSM8803934 WT_BAY+MK-8722_rep3 WT_BAY+MK-8722
- GSM8803935 KO_DMSO_rep4 KO_DMSO
- GSM8803936 KO_MK-8722_rep4 KO_MK-8722
- GSM8803937 KO_BAY_rep4 KO_BAY
- GSM8803938 KO_BAY+MK-8722_rep4 KO_BAY+MK-8722
- GSM8803939 WT_DMSO_rep5 WT_DMSO
- GSM8803940 WT_MK-8722_rep5 WT_MK-8722
- GSM8803941 WT_BAY_rep5 WT_BAY
- GSM8803942 WT_BAY+MK-8722_rep5 WT_BAY+MK-8722
- GSM8803943 KO_DMSO_rep6 KO_DMSO
- GSM8803944 KO_MK-8722_rep6 KO_MK-8722
- GSM8803945 KO_BAY_rep6 KO_BAY
- GSM8803946 KO_BAY+MK-8722_rep6 KO_BAY+MK-8722
- GSM8803947 WT_DMSO_rep7 WT_DMSO
- GSM8803948 WT_MK-8722_rep7 WT_MK-8722
- GSM8803949 WT_BAY_rep7 WT_BAY
- GSM8803950 WT_BAY+MK-8722_rep7 WT_BAY+MK-8722
- GSM8803951 WT_DMSO_rep8 WT_DMSO
- GSM8803952 WT_MK-8722_rep8 WT_MK-8722
- GSM8803953 WT_BAY_rep8 WT_BAY
- GSM8803954 WT_BAY+MK-8722_rep8 WT_BAY+MK-8722
- GSM8803955 KO_DMSO_rep9 KO_DMSO
- GSM8803956 KO_MK-8722_rep9 KO_MK-8722
- GSM8803957 KO_BAY_rep9 KO_BAY
- GSM8803958 KO_BAY+MK-8722_rep9 KO_BAY+MK-8722
- GSM8803959 KO_DMSO_rep10 KO_DMSO
- GSM8803960 KO_MK-8722_rep10 KO_MK-8722
- GSM8803961 KO_BAY_rep10 KO_BAY
- GSM8803962 KO_BAY+MK-8722_rep10 KO_BAY+MK-8722
+ 24 more — browse all 64 samples with per-sample file links →
- GSE268407 Cellular senescence in skeletal muscle aging: new mechanisms and therapeutic potential for sarcopenia 2 samples shares cellular, potent
- GSE261139 Tumour-derived Extracellular Vesicle and Particle Reprogramming of Interstitial Macrophages in the Lung Pre-Metastatic Niche Enhances Vascular Permeability and Metastatic Potential 16 samples shares cellular, potent
- GSE335135 CD36 gates nocturnal hypertension by regulating inactive period blood pressure variation via renal AMPK/HDAC5/PER1 axis 37 samples shares ampk
- GSE292357 AMPK signaling is dysregulated in human tendinopathy and loss of AMPKα1 leads to cell, matrix and mechanical dysfunction in mouse Achilles tendon 24 samples shares ampk
- GSE303657 R-spondin 2 suppresses hepatic steatosis via activation of AMPK-ACC signaling 12 samples shares ampk
- GSE295428 Spaceflight induces systemic effects on extracellular matrix and immune system in different age-stages 229 samples shares cellular
- GSE330865 Multiorgan transcriptomics and circulating extracellular vesicle profiling reveal age-dependent systemic vulnerability to isoflurane anesthesia and surgery 120 samples shares cellular
- GSE299286 Exploring the inhibitory mechanism of DSS-induced ulcerative colitis by Banxia Xiexin Decoctionthrough the combination of serumpharmacochemistry, networkpharmacology, and transcriptomics. 12 samples shares inhibitor
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.