RNA Sequencing of Mouse Liver Post Caloric Resrtiction and Anti-Anging Interventions
RNA-seq (gene expression) · mouse · 18 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
- 18 samples: 5 conditions, mostly in triplicateGroups 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 GSE299228_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 PRJNA1273112 and SRA study SRP590419. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 18 samples.
How we read this: 5 replicated groups read from 18 sample titles; they account for 18 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.
- GSM9035618 C57BL6_1_AL_1 C57BL6_1_AL
- GSM9035619 C57BL6_1_AL_2 C57BL6_1_AL
- GSM9035620 C57BL6_1_AL_3 C57BL6_1_AL
- GSM9035621 C57BL6_1_AL_4 C57BL6_1_AL
- GSM9035622 C57BL6_1_AL_5 C57BL6_1_AL
- GSM9035623 C57BL6_1_AL_6 C57BL6_1_AL
- GSM9035624 C57BL6_1_Rapamycin_1 C57BL6_1_Rapamycin
- GSM9035625 C57BL6_1_Rapamycin_2 C57BL6_1_Rapamycin
- GSM9035626 C57BL6_1_Rapamycin_3 C57BL6_1_Rapamycin
- GSM9035627 C57BL6_1_Metformin_1 C57BL6_1_Metformin
- GSM9035628 C57BL6_1_Metformin_2 C57BL6_1_Metformin
- GSM9035629 C57BL6_1_Metformin_3 C57BL6_1_Metformin
- GSM9035630 C57BL6_1_TM5614_1 C57BL6_1_TM5614
- GSM9035631 C57BL6_1_TM5614_2 C57BL6_1_TM5614
- GSM9035632 C57BL6_1_TM5614_3 C57BL6_1_TM5614
- GSM9035633 C57BL6_1_CR_1 C57BL6_1_C
- GSM9035634 C57BL6_1_CR_2 C57BL6_1_C
- GSM9035635 C57BL6_1_CR_3 C57BL6_1_C
- GSE296874 RNA-Seq analysis of high-fiber diets and caloric restriction in mouse liver 36 samples shares caloric, liver
- GSE286570 RNA sequencing(RNA-Seq)in liver tissues from different exercise interventions in NAFLD mice 12 samples shares interventions, liver
- GSE252248 Gene expression profile at single cell level of liver non-parenchymal cells (NPC) from mice with or without high fat diet (HFD) and physical exercise interventions 4 samples shares interventions, liver
- GSE338580 Transcriptomic profiling of mouse aging soleus muscles and drug interventions 78 samples shares interventions
- GSE283691 Dietary and exercise interventions improve cognition and alter hippocampal transcriptome in a metabolic syndrome mouse model 48 samples shares interventions
- GSE248864 Hepatic Glucocorticoid Receptor (GR) drives the diurnal adaptation to Caloric Restriction 90 samples shares caloric
- GSE315973 Investigating Trophoblast Invasion and Angiogenesis Expression Changes in a Caloric Deficient Mouse Model of Fetal Growth Restriction 10 samples shares caloric
- GSE290235 Fibrogenic gene signature as early prediction for the efficacy of pharmacological interventions for MASH-associated fibrosis, part1 32 samples shares interventions
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.