Bulk RNAseq REX-1 RFP mESC 2019
RNA-seq (gene expression) · mouse · 15 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
- 15 samples: 5 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.
- Paper
- Novel kinetic and developmental transcriptomic pan-stress responses by embryonic stem cellsScientific reports · 2025
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 GSE237796_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 PRJNA996623 and SRA study SRP450436. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 15 samples.
How we read this: 5 replicated groups read from 15 sample titles; they account for 15 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.
- GSM7653506 NS rep1 NS
- GSM7653507 ND rep1 ND
- GSM7653508 Sorbitol 200mM rep1 Sorbitol 200mM
- GSM7653509 Sorbitol 250mM rep1 Sorbitol 250mM
- GSM7653510 Sorbitol 300mM rep1 Sorbitol 300mM
- GSM7653511 NS rep2 NS
- GSM7653512 ND rep2 ND
- GSM7653513 Sorbitol 200mM rep2 Sorbitol 200mM
- GSM7653514 Sorbitol 250mM rep2 Sorbitol 250mM
- GSM7653515 Sorbitol 300mM rep2 Sorbitol 300mM
- GSM7653516 NS rep3 NS
- GSM7653517 ND rep3 ND
- GSM7653518 Sorbitol 200mM rep3 Sorbitol 200mM
- GSM7653519 Sorbitol 250mM rep3 Sorbitol 250mM
- GSM7653520 Sorbitol 300mM rep3 Sorbitol 300mM
- GSE271744 Bulk RNAseq of mononucleated cells isolated from resting and regenerating adult and aged skeletal mouse muscle 107 samples shares bulk
- GSE276628 Reciprocal genetic screens identify epigenetics factors controlling epidermal cell activation. [RNAseq_MiniBulk] 41 samples shares bulk
- GSE264171 Effects at the transcriptomic level after knockout of Eed, Ezh2, Brd8 or Nr6a1 in spinal cord neural progenitor differentiation [bulkRNAseq] 41 samples shares bulk
- GSE319614 Bulk RNA-seq transcriptome profiling of hippocampus across 17 autism spectrum disorder mouse models 269 samples shares bulk
- GSE286166 Ceramides drive colorectal cancer metastasis through a revival stemness program [BulkRNAseq_CRISPR] 34 samples shares bulk
- GSE272083 A molecular pathway for cancer cachexia-induced muscle atrophy revealed at single nucleus resolution [Bulk_RNAseq] 31 samples shares bulk
- GSE270727 Analysis of striatal zinc finger protein (ZFP) repression of mutant Huntingtin (HTT) in the zQ175DN knock-in mouse model of Huntington's disease (bulk RNA-seq) 233 samples shares bulk
- GSE332646 Bulk RNA-seq of juvenile mouse liver following NDMA or saline treatment in WT and Mgmt-/- genotypes across multiple timepoints 214 samples shares bulk
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.