Ex vivo cultured mouse LT-HSCs RNA-seq
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
- Transient mechanical activation of the Piezo1 channel facilitates ex vivo expansion of hematopoietic stem cellsCell research · 2026
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 GSE198442_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 PRJNA815304 and SRA study SRP363609. 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.
- GSM5946967 Saline-1 Saline
- GSM5946968 Saline-2 Saline
- GSM5946969 Saline-3 Saline
- GSM5946970 PS50-1 PS50
- GSM5946971 PS50-2 PS50
- GSM5946972 PS50-3 PS50
- GSM5946973 PS500-1 PS500
- GSM5946974 PS500-2 PS500
- GSM5946975 PS500-3 PS500
- GSM5946976 PVA500-1 PVA500
- GSM5946977 PVA500-2 PVA500
- GSM5946978 PVA500-3 PVA500
- GSM5946979 PMMA500-1 PMMA500
- GSM5946980 PMMA500-2 PMMA500
- GSM5946981 PMMA500-3 PMMA500
- GSE290989 Charting Postnatal Heart Development Using In Vivo Single-Cell Functional Genomic [snRNA-Seq] 8 samples shares rna-seq, vivo
- GSE326100 scRNA-seq of mouse cochlea organoid cells 768 samples shares rna-seq
- GSE311449 Single cell RNA-seq of mouse brain vascular cells with Smart-seq2 method 391 samples shares rna-seq
- GSE319614 Bulk RNA-seq transcriptome profiling of hippocampus across 17 autism spectrum disorder mouse models 269 samples shares rna-seq
- GSE326452 Bulk RNA-seq of mouse brain following closed head injury: role of IL-1R1 signaling 200 samples shares rna-seq
- GSE264105 Plate-based scRNA-seq of plasma-positive microglia and plasma-negative microglia in young mice 1111 samples shares rna-seq
- GSE330728 Single-nucleus RNA-seq atlas of 17 ASD-risk mouse lines under early-postnatal fluoxetine or lithium exposure (4-plex On-Chip Multiplexed) 53 samples shares rna-seq
- GSE295180 Dissection of the immune landscape in Psoriatic Arthritis patients [Mouse scRNA-seq] 52 samples shares rna-seq
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.