Targeting the intestinal circadian clock by meal timing ameliorates gastrointestinal inflammation
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: 48 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
- Targeting the intestinal circadian clock by meal timing ameliorates gastrointestinal inflammationCellular & molecular immunology · 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 GSE230078_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 PRJNA957329 and SRA study SRP433423. 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 48 sample titles: 48 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.
- GSM7186585 SV384_CO_KO_CT1
- GSM7186586 SV401_CO_WT_CT9
- GSM7186587 SV420_CO_WT_CT9
- GSM7186588 SV440_CO_KO_CT5
- GSM7186589 SV448_CO_KO_CT13
- GSM7186590 SV470_CO_KO_CT21
- GSM7186591 SV385_CO_KO_CT1
- GSM7186592 SV402_CO_KO_CT9
- GSM7186593 SV421_CO_WT_CT13
- GSM7186594 SV441_CO_WT_CT21
- GSM7186595 SV449_CO_KO_CT13
- GSM7186596 SV471_CO_KO_CT21
- GSM7186597 SV395_CO_KO_CT13
- GSM7186598 SV410_CO_KO_CT9
- GSM7186599 SV424_CO_WT_CT13
- GSM7186600 SV442_CO_WT_CT5
- GSM7186601 SV450_CO_KO_CT13
- GSM7186602 SV476_CO_WT_CT21
- GSM7186603 SV396_CO_WT_CT13
- GSM7186604 SV412_CO_WT_CT9
- GSM7186605 SV433_CO_WT_CT21
- GSM7186606 SV443_CO_WT_CT5
- GSM7186607 SV453_CO_WT_CT17
- GSM7186608 SV477_CO_KO_CT5
- GSM7186609 SV397_CO_WT_CT13
- GSM7186610 SV415_CO_WT_CT9
- GSM7186611 SV434_CO_WT_CT21
- GSM7186612 SV444_CO_KO_CT21
- GSM7186613 SV454_CO_WT_CT1
- GSM7186614 SV478_CO_KO_CT5
- GSM7186615 SV398_CO_WT_CT17
- GSM7186616 SV416_CO_KO_CT17
- GSM7186617 SV437_CO_KO_CT17
- GSM7186618 SV445_CO_KO_CT21
- GSM7186619 SV455_CO_WT_CT1
- GSM7186620 SV479_CO_KO_CT1
- GSM7186621 SV399_CO_KO_CT17
- GSM7186622 SV417_CO_WT_CT17
- GSM7186623 SV438_CO_WT_CT17
- GSM7186624 SV446_CO_WT_CT5
+ 8 more — browse all 48 samples with per-sample file links →
- GSE237833 Intestinal epithelial cell NCoR deficiency ameliorates obesity and metabolic syndrome 14 samples shares ameliorates, intestinal
- GSE331524 Transcriptomic analysis of hippocampus and prefrontal cortex in a mouse model of chronic radiation-induced gastrointestinal injury 12 samples shares gastrointestinal, intestinal
- GSE300283 The single-cell transcriptome defines an effector Vd1 gd T cell-dependent anti-tumor immunity in human gastrointestinal stromal tumor (GIST) 6 samples shares gastrointestinal, intestinal
- GSE284500 Transcriptional profiling of hippocampus from a zQ175 KI mouse model of Huntington's disease treated with either HTT-10150 siRNA targeting full-length HTT or combination of HTT-634 and HTT-486 siRNAs targeting HTT1a 192 samples shares targeting
- GSE284497 Transcriptional profiling of striatum from a zQ175 KI mouse model of Huntington's disease treated with HTT-10150 siRNA targeting full-length Htt 143 samples shares targeting
- GSE302447 A multi-functional oral small molecule targeting energy and lipid metabolism as a treatment for diet-induced obesity 67 samples shares targeting
- GSE151088 miR-375 Regulates Intestinal Crypt Cell Landscape, Proliferation, and Regenerative Capacity 54 samples shares intestinal
- GSE295426 Targeting branched-chain amino acids alleviates pulmonary fibrosis [RNA-seq] 54 samples shares targeting
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.