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RNA-seq (gene expression) · mouse · 12 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
- 12 samples: 3 × KB vs 3 × KBLu10 vs 3 × Kcon vs 3 × KLu10Groups 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 GSE184785_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 PRJNA766419 and SRA study SRP338755. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 12 samples.
How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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.
- GSM5597406 KB_1 KB
- GSM5597407 KB_2 KB
- GSM5597408 KB_3 KB
- GSM5597409 KBLu10_1 KBLu10
- GSM5597410 KBLu10_2 KBLu10
- GSM5597411 KBLu10_3 KBLu10
- GSM5597412 Kcon_1 Kcon
- GSM5597413 Kcon_2 Kcon
- GSM5597414 Kcon_3 Kcon
- GSM5597415 KLu10_1 KLu10
- GSM5597416 KLu10_2 KLu10
- GSM5597417 KLu10_3 KLu10
- GSE307265 Experimentally induced myocardial infarction in mice - RNA Sequencing of kidneys 24 samples shares induced, kidney
- GSE220691 Kidney Single-Cell Atlas Reveals Macrophage Heterogeneity in Progression and Regression of Cisplatin Induced AKI. 22 samples shares induced, kidney
- GSE220675 Kidney Single-Cell Atlas Reveals Macrophage Heterogeneity in Progression and Regression of Cisplatin Induced AKI [scRNA-seq] 11 samples shares induced, kidney
- GSE220674 Bulk RNA Sequencing of Wild Type and Cisplatin Induced AKI (3d and 7d groups) Mice Kidneys 11 samples shares induced, kidney
- GSE274819 Single-cell RNA sequencing of murine kidneys for ischemia-reperfusion induced renal injury and fibrosis 10 samples shares induced, kidney
- GSE318028 Pharmacological inhibition of FKBP51 mitigates early life adversity-induced social deficits 246 samples shares induced
- GSE315007 Sex- and hepatocyte Pparg-dependent hepatic effects of a high fat diet containing 60% kcal from fat and 2% cholesterol, which was supplemented with 10% fructose in the drinking water (HFC+Fr) to induce diet-induced obesity in male and female mice. 30 samples shares induced
- GSE329539 Hypothalamic transcriptomic response to High-Fat Diet induced obesity: modulatory effects of Resveratrol, Curcumin, and Aged Garlic Extract. 12 samples shares induced
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.