The flame retardant triphenyl phosphate induces varying responses in genetically diverse mouse induced pluripotent stem cells
RNA-seq (gene expression) · mouse · 436 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
- 436 samples: 436 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.
Read the full summary ↓
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 GSE333520_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 PRJNA1471224 and SRA study SRP704267. 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 the first 400 of 436 sample titles: 400 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.
- GSM9766820 DO iPSC line 170, untreated
- GSM9766821 DO iPSC line 170, triphenyl phosphate treated
- GSM9766822 DO iPSC line 171, untreated
- GSM9766823 DO iPSC line 171, triphenyl phosphate treated
- GSM9766824 DO iPSC line 173, untreated
- GSM9766825 DO iPSC line 173, triphenyl phosphate treated
- GSM9766826 DO iPSC line 174, untreated
- GSM9766827 DO iPSC line 174, triphenyl phosphate treated
- GSM9766828 DO iPSC line 177, untreated
- GSM9766829 DO iPSC line 177, triphenyl phosphate treated
- GSM9766830 DO iPSC line 190, untreated
- GSM9766831 DO iPSC line 190, triphenyl phosphate treated
- GSM9766832 DO iPSC line 192, untreated
- GSM9766833 DO iPSC line 192, triphenyl phosphate treated
- GSM9766834 DO iPSC line 193, untreated
- GSM9766835 DO iPSC line 193, triphenyl phosphate treated
- GSM9766836 DO iPSC line 204, untreated
- GSM9766837 DO iPSC line 204, triphenyl phosphate treated
- GSM9766838 DO iPSC line 207, untreated
- GSM9766839 DO iPSC line 207, triphenyl phosphate treated
- GSM9766840 DO iPSC line 208, untreated
- GSM9766841 DO iPSC line 208, triphenyl phosphate treated
- GSM9766842 DO iPSC line 209, untreated
- GSM9766843 DO iPSC line 209, triphenyl phosphate treated
- GSM9766844 DO iPSC line 213, untreated
- GSM9766845 DO iPSC line 213, triphenyl phosphate treated
- GSM9766846 DO iPSC line 383, untreated
- GSM9766847 DO iPSC line 383, triphenyl phosphate treated
- GSM9766848 DO iPSC line 411, untreated
- GSM9766849 DO iPSC line 411, triphenyl phosphate treated
- GSM9766850 DO iPSC line 414, untreated
- GSM9766851 DO iPSC line 414, triphenyl phosphate treated
- GSM9766852 DO iPSC line 420, untreated
- GSM9766853 DO iPSC line 420, triphenyl phosphate treated
- GSM9766854 DO iPSC line 423, untreated
- GSM9766855 DO iPSC line 423, triphenyl phosphate treated
- GSM9766856 DO iPSC line 428, untreated
- GSM9766857 DO iPSC line 428, triphenyl phosphate treated
- GSM9766858 DO iPSC line 431, untreated
- GSM9766859 DO iPSC line 431, triphenyl phosphate treated
+ 396 more — browse all 436 samples with per-sample file links →
- GSE272039 Multi-tissue single cell profiling of genetically diverse mouse models reveals mechanisms of resilience to obesity and diabetes [scRNA_seq_adipose] 21 samples shares genetically, diverse
- GSE272053 Multi-tissue single cell profiling of genetically diverse mouse models reveals mechanisms of resilience to obesity and diabetes [scRNA_seq_islet] 19 samples shares genetically, diverse
- GSE263649 Single nucleus RNA sequencing of the cerebral cortex from genetically diverse inbred mouse strains reveals differences in pericyte and endothelial cell composition 16 samples shares genetically, diverse
- GSE294832 Modular neuroinflammatory network discovery from large-scale phenotypic screening in genetically heterogeneous mice [part10] 1000 samples shares genetically
- GSE294911 Modular neuroinflammatory network discovery from large-scale phenotypic screening in genetically heterogeneous mice [part14] 1000 samples shares genetically
- GSE294535 Modular neuroinflammatory network discovery from large-scale phenotypic screening in genetically heterogeneous mice[part5] 1000 samples shares genetically
- GSE294849 Modular neuroinflammatory network discovery from large-scale phenotypic screening in genetically heterogeneous mice [part13] 1000 samples shares genetically
- GSE294826 Modular neuroinflammatory network discovery from large-scale phenotypic screening in genetically heterogeneous mice [part9] 1000 samples shares genetically
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.