FGF21counteracts metabolic dysfunction in cancer-associated cachexia
RNA-seq (gene expression) · mouse · 19 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
- 19 samples: 5 × CHX_untreated vs 5 × CHX_FGF21AAV vs 5 × CHX_Efruxifermin vs 4 × Healthy_controlGroups 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 GSE317757_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 PRJNA1415195 and SRA study SRP667812. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 19 samples.
How we read this: 4 replicated groups read from 19 sample titles; they account for 19 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.
- GSM9477725 Healthy_control_1 Healthy_control
- GSM9477726 Healthy_control_2 Healthy_control
- GSM9477727 Healthy_control_3 Healthy_control
- GSM9477728 Healthy_control_4 Healthy_control
- GSM9477729 CHX_untreated_1 CHX_untreated
- GSM9477730 CHX_untreated_2 CHX_untreated
- GSM9477731 CHX_untreated_3 CHX_untreated
- GSM9477732 CHX_untreated_4 CHX_untreated
- GSM9477733 CHX_untreated_5 CHX_untreated
- GSM9477734 CHX_FGF21AAV_1 CHX_FGF21AAV
- GSM9477735 CHX_FGF21AAV_2 CHX_FGF21AAV
- GSM9477736 CHX_FGF21AAV_3 CHX_FGF21AAV
- GSM9477737 CHX_FGF21AAV_4 CHX_FGF21AAV
- GSM9477738 CHX_FGF21AAV_5 CHX_FGF21AAV
- GSM9477739 CHX_Efruxifermin_1 CHX_Efruxifermin
- GSM9477740 CHX_Efruxifermin_2 CHX_Efruxifermin
- GSM9477741 CHX_Efruxifermin_3 CHX_Efruxifermin
- GSM9477742 CHX_Efruxifermin_4 CHX_Efruxifermin
- GSM9477743 CHX_Efruxifermin_5 CHX_Efruxifermin
- GSE319035 P21+TREM2+-Senescent Macrophages Fuel Inflammaging and Metabolic Dysfunction-Associated Steatotic Liver Disease [NAFLD_time_course] 77 samples shares dysfunction
- GSE280273 A multi-omics census reveals miRNA miR-let-7 as instigator of paternal mitochondrial dysfunction and in epigenetic heredity of intergenerational metabolic decline [F0_Liv_eWAT_RNAseq] 36 samples shares dysfunction
- GSE293219 Adipocyte-specific Mlkl knockout mitigates obesity-induced metabolic dysfunction by enhancing mitochondrial functions. 36 samples shares dysfunction
- GSE342666 Sodium oxybate, a narcolepsy therapeutic, remodels the gut microbiota and alleviates metabolic dysfunction in developing and established obesity 32 samples shares dysfunction
- GSE326115 Metabolic and Skeletal Muscle Dysfunctions Correlate with Fatigue-Like Behavior in an Animal Model of Multiple Sclerosis 30 samples shares dysfunction
- GSE334551 NAD+ Deficiency Drives Metabolic Dysfunction-Associated Atrial Fibrillation 29 samples shares dysfunction
- GSE304692 Hepatocyte Circadian Clocks Control Cholesterol Metabolism and Protect From Metabolic Dysfunction-Associated Steatohepatitis (MASH) [RNAseq_palmitate_silencing] 24 samples shares dysfunction
- GSE315019 DTMB mitigates diet-induced metabolic dysfunction-associated steatohepatitis by targeting inflammation and lipid metabolism 22 samples shares dysfunction
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.