Oncogenic fatty acid oxidation senses sleep deficiency-induced circadian disruption to promote tumorigenesis
RNA-seq (gene expression) · mouse · 48 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
- 48 samples: 16 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.
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 GSE216741_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 PRJNA895077 and SRA study SRP404928. Searching any of these in the dataset finder brings you back here.
Supports a case/control comparison: 3 samples read as cases, 21 as controls.
How we read this: 16 replicated groups read from 48 sample titles; they account for 48 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.
- GSM6689602 lung, Ctrl-ZT0, bio rep1 lung, Ctrl-ZT0,
- GSM6689603 lung, Ctrl-ZT0, bio rep2 lung, Ctrl-ZT0,
- GSM6689604 lung, Ctrl-ZT0, bio rep3 lung, Ctrl-ZT0,
- GSM6689605 lung, Ctrl-ZT4, bio rep1 lung, Ctrl-ZT4,
- GSM6689606 lung, Ctrl-ZT4, bio rep2 lung, Ctrl-ZT4,
- GSM6689607 lung, Ctrl-ZT4, bio rep3 lung, Ctrl-ZT4,
- GSM6689608 lung, Ctrl-ZT8, bio rep1 lung, Ctrl-ZT8,
- GSM6689609 lung, Ctrl-ZT8, bio rep2 lung, Ctrl-ZT8,
- GSM6689610 lung, Ctrl-ZT8, bio rep3 lung, Ctrl-ZT8,
- GSM6689611 lung, Ctrl-ZT12, bio rep1 lung, Ctrl-ZT12,
- GSM6689612 lung, Ctrl-ZT12, bio rep2 lung, Ctrl-ZT12,
- GSM6689613 lung, Ctrl-ZT12, bio rep3 lung, Ctrl-ZT12,
- GSM6689614 lung, Ctrl-ZT16, bio rep1 lung, Ctrl-ZT16,
- GSM6689615 lung, Ctrl-ZT16, bio rep2 lung, Ctrl-ZT16,
- GSM6689616 lung, Ctrl-ZT16, bio rep3 lung, Ctrl-ZT16,
- GSM6689617 lung, Ctrl-ZT20, bio rep1 lung, Ctrl-ZT20,
- GSM6689618 lung, Ctrl-ZT20, bio rep2 lung, Ctrl-ZT20,
- GSM6689619 lung, Ctrl-ZT20, bio rep3 lung, Ctrl-ZT20,
- GSM6689620 lung, Ctrl-ZT24, bio rep1 lung, Ctrl-ZT24,
- GSM6689621 lung, Ctrl-ZT24, bio rep2 lung, Ctrl-ZT24,
- GSM6689622 lung, Ctrl-ZT24, bio rep3 lung, Ctrl-ZT24,
- GSM6689623 lung, SD-ZT0, bio rep1 lung, SD-ZT0,
- GSM6689624 lung, SD-ZT0, bio rep2 lung, SD-ZT0,
- GSM6689625 lung, SD-ZT0, bio rep3 lung, SD-ZT0,
- GSM6689626 lung, SD-ZT4, bio rep1 lung, SD-ZT4,
- GSM6689627 lung, SD-ZT4, bio rep2 lung, SD-ZT4,
- GSM6689628 lung, SD-ZT4, bio rep3 lung, SD-ZT4,
- GSM6689629 lung, SD-ZT8, bio rep1 lung, SD-ZT8,
- GSM6689630 lung, SD-ZT8, bio rep2 lung, SD-ZT8,
- GSM6689631 lung, SD-ZT8, bio rep3 lung, SD-ZT8,
- GSM6689632 lung, SD-ZT12, bio rep1 lung, SD-ZT12,
- GSM6689633 lung, SD-ZT12, bio rep2 lung, SD-ZT12,
- GSM6689634 lung, SD-ZT12, bio rep3 lung, SD-ZT12,
- GSM6689635 lung, SD-ZT16, bio rep1 lung, SD-ZT16,
- GSM6689636 lung, SD-ZT16, bio rep2 lung, SD-ZT16,
- GSM6689637 lung, SD-ZT16, bio rep3 lung, SD-ZT16,
- GSM6689638 lung, SD-ZT20, bio rep1 lung, SD-ZT20,
- GSM6689639 lung, SD-ZT20, bio rep2 lung, SD-ZT20,
- GSM6689640 lung, SD-ZT20, bio rep3 lung, SD-ZT20,
- GSM6689641 lung, SD-ZT24, bio rep1 lung, SD-ZT24,
+ 8 more — browse all 48 samples with per-sample file links →
- GSE299370 Integrated Transcriptomic and Metabolomic Analyses for Circadian Disruption biomarker identification 48 samples shares disruption, circadian
- GSE269506 The interleukin 22–oncostatin M axis promotes intestinal inflammation and tumorigenesis [Colon_Tissue_BulkRNA-seq] 22 samples shares tumorigenesis, promote
- GSE313305 Oncogenic and tumor-suppressive forces converge on a progenitor-orchestrated niche to shape early tumorigenesis [KPLOH scRNA-seq] 17 samples shares tumorigenesis, oncogenic
- GSE297023 Aging represses oncogenic KRAS-driven lung tumorigenesis and alters tumor suppression 16 samples shares tumorigenesis, oncogenic
- GSE297249 Unfolded protein response signaling promotes myeloid cell production and cooperates with oncogenic mutation 16 samples shares oncogenic, promote
- GSE269507 The interleukin 22–oncostatin M axis promotes intestinal inflammation and tumorigenesis [scRNA-seq] 12 samples shares tumorigenesis, promote
- GSE269888 Oncogenic KRAS-dependent stromal interleukin-33 directs the pancreatic microenvironment to promote tumor growth [scRNA-seq] 11 samples shares oncogenic, promote
- GSE315243 Oncogenic and tumor-suppressive forces converge on a progenitor-orchestrated niche to shape early tumorigenesis 69 samples shares tumorigenesis, oncogenic
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.