T cell - DAM feedback loop drives CNS inflammation and neurodegenration in SPG15 at an early age
RNA-seq (gene expression) · mouse · 1154 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
- 1154 samples: 1154 samples, each with a distinct title — no replicated groupsGroups 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 GSE244539_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 PRJNA1023516 and SRA study SRP464251. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from the first 400 of 1154 sample titles: 400 distinct titles with little repetition. 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.
- GSM7816518 Brain, CD3+ SS2 KO A10 mouse 1 scRNAseq
- GSM7816519 Brain, CD3+ SS2 KO A11 mouse 1 scRNAseq
- GSM7816520 Brain, CD3+ SS2 KO A12 mouse 1 scRNAseq
- GSM7816521 Brain, CD3+ SS2 KO A13 mouse 1 scRNAseq
- GSM7816522 Brain, CD3+ SS2 KO A14 mouse 1 scRNAseq
- GSM7816523 Brain, CD3+ SS2 KO A15 mouse 1 scRNAseq
- GSM7816524 Brain, CD3+ SS2 KO A17 mouse 1 scRNAseq
- GSM7816525 Brain, CD3+ SS2 KO A19 mouse 1 scRNAseq
- GSM7816526 Brain, CD3+ SS2 KO A2 mouse 1 scRNAseq
- GSM7816527 Brain, CD3+ SS2 KO A20 mouse 1 scRNAseq
- GSM7816528 Brain, CD3+ SS2 KO A21 mouse 1 scRNAseq
- GSM7816529 Brain, CD3+ SS2 KO A22 mouse 1 scRNAseq
- GSM7816530 Brain, CD3+ SS2 KO A23 mouse 1 scRNAseq
- GSM7816531 Brain, CD3+ SS2 KO A24 mouse 1 scRNAseq
- GSM7816532 Brain, CD3+ SS2 KO A3 mouse 1 scRNAseq
- GSM7816533 Brain, CD3+ SS2 KO A5 mouse 1 scRNAseq
- GSM7816534 Brain, CD3+ SS2 KO A6 mouse 1 scRNAseq
- GSM7816535 Brain, CD3+ SS2 KO A7 mouse 1 scRNAseq
- GSM7816536 Brain, CD3+ SS2 KO A8 mouse 1 scRNAseq
- GSM7816537 Brain, CD3+ SS2 KO A9 mouse 1 scRNAseq
- GSM7816538 Brain, CD3+ SS2 KO B1 mouse 1 scRNAseq
- GSM7816539 Brain, CD3+ SS2 KO B10 mouse 1 scRNAseq
- GSM7816540 Brain, CD3+ SS2 KO B11 mouse 1 scRNAseq
- GSM7816541 Brain, CD3+ SS2 KO B12 mouse 1 scRNAseq
- GSM7816542 Brain, CD3+ SS2 KO B13 mouse 1 scRNAseq
- GSM7816543 Brain, CD3+ SS2 KO B14 mouse 1 scRNAseq
- GSM7816544 Brain, CD3+ SS2 KO B15 mouse 1 scRNAseq
- GSM7816545 Brain, CD3+ SS2 KO B16 mouse 1 scRNAseq
- GSM7816546 Brain, CD3+ SS2 KO B17 mouse 1 scRNAseq
- GSM7816547 Brain, CD3+ SS2 KO B18 mouse 1 scRNAseq
- GSM7816548 Brain, CD3+ SS2 KO B19 mouse 1 scRNAseq
- GSM7816549 Brain, CD3+ SS2 KO B2 mouse 1 scRNAseq
- GSM7816550 Brain, CD3+ SS2 KO B20 mouse 1 scRNAseq
- GSM7816551 Brain, CD3+ SS2 KO B21 mouse 1 scRNAseq
- GSM7816552 Brain, CD3+ SS2 KO B22 mouse 1 scRNAseq
- GSM7816553 Brain, CD3+ SS2 KO B23 mouse 1 scRNAseq
- GSM7816554 Brain, CD3+ SS2 KO B24 mouse 1 scRNAseq
- GSM7816555 Brain, CD3+ SS2 KO B3 mouse 1 scRNAseq
- GSM7816556 Brain, CD3+ SS2 KO B4 mouse 1 scRNAseq
- GSM7816557 Brain, CD3+ SS2 KO B5 mouse 1 scRNAseq
+ 1114 more — browse all 1154 samples with per-sample file links →
- GSE244474 T cell - DAM feedback loop drives CNS inflammation and neurodegenration in SPG15 at an early age via CCR5-CCL5 interaction [CD3+] 1135 samples shares spg15, dam, cns, neurodegenration, feedback, drives, early, loop
- GSE228457 IL-7 mediated immunoregulatory feedback loop promotes dampening of immune effector functions by hypoinflammatory monocytes. 305 samples shares dam, feedback, loop
- GSE304945 Tumor-borne ADAMTSL4 drives cancer cachexia via TGFβ signaling pathway 32 samples shares dam, drives
- GSE252120 Oxidative stress induced telomere instability/damage drives T cell dysfunction in cancer 32 samples shares dam, drives
- GSE218597 Antagonism between H3K27me3 and genome-lamina association drives atypical spatial genome organization in the totipotent embryo [scDam&T-seq] 28 samples shares dam, drives
- GSE262150 Nuclear compression-mediated DNA damage drives ATR-dependent Lamin expression and mouse ESC differentiation 16 samples shares dam, drives
- GSE284085 The extracellular matrix drives guanylate production and protects pancreatic cancer cells from oxaliplatin-induced DNA damage. 12 samples shares dam, drives
- GSE316966 Metabolite-induced DNA damage drives stochastic stem cell loss and clonal hematopoiesis 9 samples shares dam, drives
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.