Engineered T cell therapy for central nervous system injury [FACS-Tcells]
Single-cell RNA-seq · mouse · 192 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
- Organism
- Mus musculus (mouse)
- Samples
- 192 samples: 16 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.
- Paper
- Engineered T cell therapy for central nervous system injuryNature · 2024
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 GSE216388_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 PRJNA893393 and SRA study SRP404117. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 192 samples.
How we read this: 16 replicated groups read from 192 sample titles; they account for 192 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.
- GSM6671693 Spinal Cord A1 Spinal Cord A
- GSM6671694 Spinal Cord A2 Spinal Cord A
- GSM6671695 Spinal Cord A3 Spinal Cord A
- GSM6671696 Spinal Cord A4 Spinal Cord A
- GSM6671697 Spinal Cord A5 Spinal Cord A
- GSM6671698 Spinal Cord A6 Spinal Cord A
- GSM6671699 Spinal Cord A7 Spinal Cord A
- GSM6671700 Spinal Cord A8 Spinal Cord A
- GSM6671701 Spinal Cord A9 Spinal Cord A
- GSM6671702 Spinal Cord A10 Spinal Cord A
- GSM6671703 Spinal Cord A11 Spinal Cord A
- GSM6671704 Spinal Cord A12 Spinal Cord A
- GSM6671705 Spinal Cord B1 Spinal Cord B
- GSM6671706 Spinal Cord B2 Spinal Cord B
- GSM6671707 Spinal Cord B3 Spinal Cord B
- GSM6671708 Spinal Cord B4 Spinal Cord B
- GSM6671709 Spinal Cord B5 Spinal Cord B
- GSM6671710 Spinal Cord B6 Spinal Cord B
- GSM6671711 Spinal Cord B7 Spinal Cord B
- GSM6671712 Spinal Cord B8 Spinal Cord B
- GSM6671713 Spinal Cord B9 Spinal Cord B
- GSM6671714 Spinal Cord B10 Spinal Cord B
- GSM6671715 Spinal Cord B11 Spinal Cord B
- GSM6671716 Spinal Cord B12 Spinal Cord B
- GSM6671717 Spinal Cord C1 Spinal Cord C
- GSM6671718 Spinal Cord C2 Spinal Cord C
- GSM6671719 Spinal Cord C3 Spinal Cord C
- GSM6671720 Spinal Cord C4 Spinal Cord C
- GSM6671721 Spinal Cord C5 Spinal Cord C
- GSM6671722 Spinal Cord C6 Spinal Cord C
- GSM6671723 Spinal Cord C7 Spinal Cord C
- GSM6671724 Spinal Cord C8 Spinal Cord C
- GSM6671725 Spinal Cord C9 Spinal Cord C
- GSM6671726 Spinal Cord C10 Spinal Cord C
- GSM6671727 Spinal Cord C11 Spinal Cord C
- GSM6671728 Spinal Cord C12 Spinal Cord C
- GSM6671729 Spinal Cord D1 Spinal Cord D
- GSM6671730 Spinal Cord D2 Spinal Cord D
- GSM6671731 Spinal Cord D3 Spinal Cord D
- GSM6671732 Spinal Cord D4 Spinal Cord D
+ 152 more — browse all 192 samples with per-sample file links →
- GSE229916 Pericytes and perivascular fibroblasts contribute to central nervous system fibrosis in a region dependent manner 832 samples shares central, nervous, system
- GSE270197 Comparative Analysis of In vivo Endothelial Cell Translatomes Across Central Nervous System Vascular Beds (Tie2) 18 samples shares central, nervous, system
- GSE273440 A tumor-associated photoreceptor signature unifies distinct central nervous system malignancies [scRNA-seq] 13 samples shares central, nervous, system
- GSE67857 Host microbiota constantly control maturation and function of microglia in the central nervous system (part 2) 20 samples shares central, nervous, system
- GSE281467 Coactivation of innate immune suppressive cells induces acquired resistance against cancer immunotherapy targeting the innate immune system [TIICs RNA-seq] 30 samples shares therapy, system
- GSE322551 Engineered bacteria as exogenous organelle mimics restore PTEN and p53 tumor suppressor functions for cancer therapy 30 samples shares engineered, therapy
- GSE307570 Localized FLASH Radiotherapy Reduces Long-Term Skin and Muscle Damage While Preserving Systemic Homeostasis 20 samples shares therapy, system
- GSE298751 Prussian blue nanoparticles targeting multiple PANoptosome-mediated PANoptosis for myocardial ischemia-reperfusion injury therapy 15 samples shares therapy, injury
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.