Single cell RNA-seq reveals GINIP-Expressing neurons as the main targets of focused ultrasoud.
Single-cell RNA-seq · mouse · 57 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
- Organism
- Mus musculus (mouse)
- Samples
- 57 samples
- 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 GSE275643_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.
Also filed as BioProject PRJNA1152354 and SRA study SRP528584. Searching any of these in the dataset finder brings you back here.
The grouping that defines any comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Sample titles run NWSN92 … NWSN174 and carry no group information.
- GSM8481605 NWSN92
- GSM8481606 NWSN93
- GSM8481607 NWSN107
- GSM8481608 NWSN113
- GSM8481609 NWSN114
- GSM8481610 NWSN119
- GSM8481611 NWSN170
- GSM8481612 NWSN130
- GSM8481613 NWSN132
- GSM8481614 NWSN159
- GSM8481615 NWSN160
- GSM8481616 NWSN172
- GSM8481617 NWSN81
- GSM8481618 NWSN82
- GSM8481619 NWSN83
- GSM8481620 NWSN85
- GSM8481621 NWSN86
- GSM8481622 NWSN87
- GSM8481623 NWSN91
- GSM8481624 NWSN102
- GSM8481625 NWSN104
- GSM8481626 NWSN105
- GSM8481627 NWSN106
- GSM8481628 NWSN108
- GSM8481629 NWSN112
- GSM8481630 NWSN120
- GSM8481631 NWSN110
- GSM8481632 NWSN115
- GSM8481633 NWSN116
- GSM8481634 NWSN117
- GSM8481635 NWSN118
- GSM8481636 NWSN122
- GSM8481637 NWSN123
- GSM8481638 NWSN124
- GSM8481639 NWSN127
- GSM8481640 NWSN129
- GSM8481641 NWSN131
- GSM8481642 NWSN133
- GSM8481643 NWSN137
- GSM8481644 NWSN138
+ 17 more — browse all 57 samples with per-sample file links →
- GSE291118 Macropinocytosis maintains CAF subtype identity under metabolic stress in pancreatic cancer [RNA-seq] 20 samples shares rna-seq, main
- GSE328496 Gene expression + ATAC profiling of trisomic hippocampal neurons upon SAHA treatment [RNA-seq] 16 samples shares rna-seq, neurons
- GSE274081 A distinct cis-regulatory element is required for ILC3s to maintain intestinal tolerance through amplifying RORγt expression [scRNA-seq] 2 samples shares rna-seq, main
- GSE329815 Long-term maintenance of H3K27me3 in postmitotic neurons is dispensable for gene expression regulation 44 samples shares neurons, main
- GSE264105 Plate-based scRNA-seq of plasma-positive microglia and plasma-negative microglia in young mice 1111 samples shares rna-seq
- 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
- GSE255418 RNA-sequencing reveals novel molecular mechanisms of endometriosis lesion development in a mouse model 36 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.