Transcriptomic profiling of adipose tissues across estrous cycles in mice.
RNA-seq (gene expression) · mouse · 20 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
- 20 samples: 5 × fat-proestrus vs 5 × fat-estrus vs 5 × fat-metestrus vs 5 × fat-diestrusGroups 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
- Transcriptome dataset of mouse adipose tissue across estrous cyclesScientific data · 2024
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 GSE275383_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 PRJNA1150573. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 20 samples.
How we read this: 4 replicated groups read from 20 sample titles; they account for 20 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.
- GSM8475908 fat-proestrus-1 fat-proestrus
- GSM8475909 fat-proestrus-2 fat-proestrus
- GSM8475910 fat-proestrus-3 fat-proestrus
- GSM8475911 fat-proestrus-4 fat-proestrus
- GSM8475912 fat-proestrus-5 fat-proestrus
- GSM8475913 fat-estrus-1 fat-estrus
- GSM8475914 fat-estrus-2 fat-estrus
- GSM8475915 fat-estrus-3 fat-estrus
- GSM8475916 fat-estrus-4 fat-estrus
- GSM8475917 fat-estrus-5 fat-estrus
- GSM8475918 fat-metestrus-1 fat-metestrus
- GSM8475919 fat-metestrus-2 fat-metestrus
- GSM8475920 fat-metestrus-3 fat-metestrus
- GSM8475921 fat-metestrus-4 fat-metestrus
- GSM8475922 fat-metestrus-5 fat-metestrus
- GSM8475923 fat-diestrus-1 fat-diestrus
- GSM8475924 fat-diestrus-2 fat-diestrus
- GSM8475925 fat-diestrus-3 fat-diestrus
- GSM8475926 fat-diestrus-4 fat-diestrus
- GSM8475927 fat-diestrus-5 fat-diestrus
- GSE267727 Transcriptome profiling of non-islet metabolic tissues in ~500 DO mouse liver, adipose, heart, and skeletal muscle tissue from mice fed high-fat, high-sugar diet [heart] 482 samples shares adipose
- GSE266549 Transcriptome profiling of non-islet metabolic tissues in ~500 DO mouse liver, adipose, and skeletal muscle tissue from mice fed high-fat, high-sugar diet. [Adipose] 468 samples shares adipose
- GSE237747 Transcriptomic profiling across 20 CC-RIX genetic backgrounds with and without high-fat high-sugar (HFHS) diet, and with and without metformin [skeletal muscle] 703 samples shares across
- GSE291420 Deciphering the Transcriptomic Signatures of Aging Across Organs in Mice 270 samples shares across
- GSE305056 Transcriptomic characterization of adipose tissues in cold-exposed mice 30 samples shares adipose
- GSE314324 Transcriptomic responses to acute or chronic ethanol exposure observed across five brain regions in male mice 62 samples shares across
- GSE235987 Enhancer-AAVs allow genetic access to diverse populations of astrocytes and oligodendrocytes across species 2040 samples shares across
- GSE319769 Transcriptomic profiling of the intra-amygdala kainate mouse model across the stages of epileptogenesis 36 samples shares across
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.