Circadian-affected tissue specificity is linked to aging and longevity
RNA-seq (gene expression) · mouse · 144 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
- 144 samples: 144 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.
- Paper
- Circadian-driven tissue specificity is constrained under caloric restricted feeding conditionsCommunications biology · 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 GSE240693_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 PRJNA1004620 and SRA study SRP454724. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 144 sample titles: 144 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.
- GSM7102677 Liver,DD0-1,WT
- GSM7102678 Liver,DD0-2,WT
- GSM7102679 Liver,DD0-3,WT
- GSM7102680 Liver,DD0-4,WT
- GSM7102681 Liver,DD4-1,WT
- GSM7102682 Liver,DD4-2,WT
- GSM7102683 Liver,DD4-3,WT
- GSM7102684 Liver,DD4-4,WT
- GSM7102685 Liver,DD8-1,WT
- GSM7102686 Liver,DD8-2,WT
- GSM7102687 Liver,DD8-3,WT
- GSM7102688 Liver,DD8-4,WT
- GSM7102689 Liver,DD12-1,WT
- GSM7102690 Liver,DD12-2,WT
- GSM7102691 Liver,DD12-3,WT
- GSM7102692 Liver,DD12-4,WT
- GSM7102693 Liver,DD16-1,WT
- GSM7102694 Liver,DD16-2,WT
- GSM7102695 Liver,DD16-3,WT
- GSM7102696 Liver,DD16-4,WT
- GSM7102697 Liver,DD20-1,WT
- GSM7102698 Liver,DD20-2,WT
- GSM7102699 Liver,DD20-3,WT
- GSM7102700 Liver,DD20-4,WT
- GSM7102701 Kidney,DD0-1,WT
- GSM7102702 Kidney,DD0-2,WT
- GSM7102703 Kidney,DD0-3,WT
- GSM7102704 Kidney,DD0-4,WT
- GSM7102705 Kidney,DD4-1,WT
- GSM7102706 Kidney,DD4-2,WT
- GSM7102707 Kidney,DD4-3,WT
- GSM7102708 Kidney,DD4-4,WT
- GSM7102709 Kidney,DD8-1,WT
- GSM7102710 Kidney,DD8-2,WT
- GSM7102711 Kidney,DD8-3,WT
- GSM7102712 Kidney,DD8-4,WT
- GSM7102713 Kidney,DD12-1,WT
- GSM7102714 Kidney,DD12-2,WT
- GSM7102715 Kidney,DD12-3,WT
- GSM7102716 Kidney,DD12-4,WT
+ 104 more — browse all 144 samples with per-sample file links →
- GSE240689 Circadian-affected tissue specificity is linked to aging and longevity [sleep deprivation experiment] 96 samples shares circadian-affected, specificity, longevity, linked, aging
- GSE227557 Circadian-affected tissue specificity is linked to aging and longevity [Differential expression analysis of liver and kidney] 48 samples shares circadian-affected, specificity, longevity, linked, aging
- GSE309674 STING deficiency does not rescue short-telomere mediated aging phenotypes and longevity in TERC or TERT telomerase deficient mice 15 samples shares longevity, aging
- GSE246117 Parkinson’s-linked LRRK2-G2019S derails AMPAR trafficking, mobility and composition in striatum with cell-type and subunit specificity 6 samples shares specificity, linked
- GSE223050 The activity of early-life gene regulatory elements is hijacked in aging through pervasive AP-1–linked chromatin opening 336 samples shares linked, aging
- GSE254229 ALS/FTD-linked TBK1 deficiency in microglia induces an aged-like microglial signature and drives social recognition deficits in mice 141 samples shares linked
- GSE243942 Spatio-temporal X-linked gene reactivation in the mouse germline reveals site-specific retention of epigenetic silencing [RNA-seq] 125 samples shares linked
- GSE291610 Splice isoform-perturbation coupled to single cell transcriptome profiling reveals functions of microexons in neurogenesis and autism-linked pathways [snRNA-Seq] 96 samples shares linked
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.