RNA-Seq of single cells from the mouse lumbar dorsal root ganglion
Single-cell RNA-seq · mouse · 864 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
- 864 samples: 34 conditions, mostly with about 12 replicates eachGroups 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 GSE59739_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 PRJNA256268 and SRA study SRP044898. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 400 samples.
How we read this: 34 replicated groups read from the first 400 of 864 sample titles; they account for 400 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.
- GSM1444705 L128_A01 L128_A
- GSM1444706 L128_A02 L128_A
- GSM1444707 L128_A03 L128_A
- GSM1444708 L128_A04 L128_A
- GSM1444709 L128_A05 L128_A
- GSM1444710 L128_A06 L128_A
- GSM1444711 L128_A07 L128_A
- GSM1444712 L128_A08 L128_A
- GSM1444713 L128_A09 L128_A
- GSM1444714 L128_A10 L128_A
- GSM1444715 L128_A11 L128_A
- GSM1444716 L128_A12 L128_A
- GSM1444717 L128_B01 L128_B
- GSM1444718 L128_B02 L128_B
- GSM1444719 L128_B03 L128_B
- GSM1444720 L128_B04 L128_B
- GSM1444721 L128_B05 L128_B
- GSM1444722 L128_B06 L128_B
- GSM1444723 L128_B07 L128_B
- GSM1444724 L128_B08 L128_B
- GSM1444725 L128_B09 L128_B
- GSM1444726 L128_B10 L128_B
- GSM1444727 L128_B11 L128_B
- GSM1444728 L128_B12 L128_B
- GSM1444729 L128_C01 L128_C
- GSM1444730 L128_C02 L128_C
- GSM1444731 L128_C03 L128_C
- GSM1444732 L128_C04 L128_C
- GSM1444733 L128_C05 L128_C
- GSM1444734 L128_C06 L128_C
- GSM1444735 L128_C07 L128_C
- GSM1444736 L128_C08 L128_C
- GSM1444737 L128_C09 L128_C
- GSM1444738 L128_C10 L128_C
- GSM1444739 L128_C11 L128_C
- GSM1444740 L128_C12 L128_C
- GSM1444741 L128_D01 L128_D
- GSM1444742 L128_D02 L128_D
- GSM1444743 L128_D03 L128_D
- GSM1444744 L128_D04 L128_D
+ 824 more — browse all 864 samples with per-sample file links →
- GSE327205 RNA-seq analysis of dorsal root ganglia (DRG) from MIA-induced osteoarthritis mice with acupuncture or no treatment: Focus on neuro-immune crosstalk genes 8 samples shares rna-seq, dorsal, root
- GSE311449 Single cell RNA-seq of mouse brain vascular cells with Smart-seq2 method 391 samples shares rna-seq
- GSE326100 scRNA-seq of mouse cochlea organoid cells 768 samples shares rna-seq
- GSE277789 Spatiotemporal and genetic cell lineage tracing of endodermal organogenesis at single-cell resolution [Smart-seq3-RNA-seq-add] 830 samples shares rna-seq
- GSE313761 Single-cell screens identify ADAM12 as a fibroblast checkpoint impeding anti-tumor immunity - scRNA-seq of Adam12CKO Mouse Model CD45- cells 11 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
- 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
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.