Transcriptional profiling of retinal astrocytes identifies a specific marker and points to functional specialization
RNA-seq (gene expression) · mouse · 26 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
- 26 samples: 7 × Day 0, IP, ONH, vs 7 × Day 0, IP, ONP, vs 6 × Day 0, Input, Retina, vs 6 × Day 0, IP, Retina,Groups 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.
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 GSE265994_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 PRJNA1105098 and SRA study SRP504340. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 26 samples.
How we read this: 4 replicated groups read from 26 sample titles; they account for 26 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.
- GSM8239120 Day 0, IP, ONH, Replicate 1 Day 0, IP, ONH,
- GSM8239121 Day 0, IP, ONH, Replicate 2 Day 0, IP, ONH,
- GSM8239122 Day 0, IP, ONH, Replicate 3 Day 0, IP, ONH,
- GSM8239123 Day 0, IP, ONH, Replicate 4 Day 0, IP, ONH,
- GSM8239124 Day 0, IP, ONH, Replicate 5 Day 0, IP, ONH,
- GSM8239125 Day 0, IP, ONH, Replicate 6 Day 0, IP, ONH,
- GSM8239126 Day 0, IP, ONP, Replicate 1 Day 0, IP, ONP,
- GSM8239127 Day 0, IP, ONP, Replicate 2 Day 0, IP, ONP,
- GSM8239128 Day 0, IP, ONP, Replicate 3 Day 0, IP, ONP,
- GSM8239129 Day 0, IP, ONP, Replicate 4 Day 0, IP, ONP,
- GSM8239130 Day 0, IP, ONP, Replicate 5 Day 0, IP, ONP,
- GSM8239131 Day 0, IP, ONP, Replicate 6 Day 0, IP, ONP,
- GSM8239132 Day 0, IP, ONH, Replicate 7 Day 0, IP, ONH,
- GSM8239133 Day 0, IP, ONP, Replicate 7 Day 0, IP, ONP,
- GSM8239134 Day 0, Input, Retina, Replicate 1 Day 0, Input, Retina,
- GSM8239135 Day 0, Input, Retina, Replicate 2 Day 0, Input, Retina,
- GSM8239136 Day 0, Input, Retina, Replicate 3 Day 0, Input, Retina,
- GSM8239137 Day 0, Input, Retina, Replicate 4 Day 0, Input, Retina,
- GSM8239138 Day 0, Input, Retina, Replicate 5 Day 0, Input, Retina,
- GSM8239139 Day 0, Input, Retina, Replicate 6 Day 0, Input, Retina,
- GSM8239140 Day 0, IP, Retina, Replicate 1 Day 0, IP, Retina,
- GSM8239141 Day 0, IP, Retina, Replicate 2 Day 0, IP, Retina,
- GSM8239142 Day 0, IP, Retina, Replicate 3 Day 0, IP, Retina,
- GSM8239143 Day 0, IP, Retina, Replicate 4 Day 0, IP, Retina,
- GSM8239144 Day 0, IP, Retina, Replicate 5 Day 0, IP, Retina,
- GSM8239145 Day 0, IP, Retina, Replicate 6 Day 0, IP, Retina,
- GSE325548 Time-resolved transcriptomic profiling of surgical wounds identifies stage-specific therapeutic targets for residual ovarian cancer 48 samples shares identifies, specific
- GSE269748 A single-cell atlas deconstructs heterogeneity across multiple models in murine traumatic brain injury and identifies novel cell-specific targets 36 samples shares identifies, specific
- GSE245838 Anchored screening identifies transcription factor blueprints underlying dendritic cell diversity and subset-specific anti-tumor immunity [mouse scRNA-seq] 21 samples shares identifies, specific
- GSE267938 Functional optic tract rewiring via subtype- and target-specific axonal regeneration and presynaptic activity enhancement 256 samples shares specific
- GSE288261 A Novel Microglia-Specific Transcriptional Signatures Correlates with Behavioural Deficits in Neuropsychiatric Lupus (NP-SLE) 28 samples shares specific
- GSE292885 Transcriptomic Hallmarks of Mortality Reveal Universal and Specific Mechanisms of Aging, Chronic Disease, and Rejuvenation 210 samples shares specific
- GSE243942 Spatio-temporal X-linked gene reactivation in the mouse germline reveals site-specific retention of epigenetic silencing [RNA-seq] 125 samples shares specific
- GSE229129 Conserved transcriptional regulation by BRN1 and BRN2 in neocortical progenitors drives mammalian neural specification and neocortical expansion 13 samples shares specific
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.