Gene Expression Regulation in Brain Underlying Innate Immune Memory
RNA-seq (gene expression) · mouse · 60 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
- 60 samples: 60 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.
- Paper
- Repeated LPS induces training and tolerance of microglial responses across brain regionsJournal of neuroinflammation · 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 GSE165287_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 PRJNA693876 and SRA study SRP302773. 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 60 sample titles: 60 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.
- GSM5029427 ACHC21_PBS_1
- GSM5029428 ACHC22_PBS_2
- GSM5029429 ACHC23_PBS_3
- GSM5029430 ACHC24_PBS_4
- GSM5029431 ACHC25_1xLPS_1
- GSM5029432 ACHC26_1xLPS_2
- GSM5029433 ACHC27_1xLPS_3
- GSM5029434 ACHC28_1xLPS_4
- GSM5029435 ACHC29_2xLPS_1
- GSM5029436 ACHC30_2xLPS_2
- GSM5029437 ACHC31_2xLPS_3
- GSM5029438 ACHC32_2xLPS_4
- GSM5029439 ACHC33_3xLPS_1
- GSM5029440 ACHC34_3xLPS_2
- GSM5029441 ACHC35_3xLPS_3
- GSM5029442 ACHC36_3xLPS_4
- GSM5029443 ACHC37_4xLPS_1
- GSM5029444 ACHC38_4xLPS_2
- GSM5029445 ACHC39_4xLPS_3
- GSM5029446 ACHC40_4xLPS_4
- GSM5029447 ACPFC1_PBS_1
- GSM5029448 ACPFC10_2xLPS_2
- GSM5029449 ACPFC11_2xLPS_3
- GSM5029450 ACPFC12_2xLPS_4
- GSM5029451 ACPFC13_3xLPS_1
- GSM5029452 ACPFC14_3xLPS_2
- GSM5029453 ACPFC15_3xLPS_3
- GSM5029454 ACPFC16_3xLPS_4
- GSM5029455 ACPFC17_4xLPS_1
- GSM5029456 ACPFC18_4xLPS_2
- GSM5029457 ACPFC19_4xLPS_3
- GSM5029458 ACPFC2_PBS_2
- GSM5029459 ACPFC20_4xLPS_4
- GSM5029460 ACPFC3_PBS_3
- GSM5029461 ACPFC4_PBS_4
- GSM5029462 ACPFC5_1xLPS_1
- GSM5029463 ACPFC6_1xLPS_2
- GSM5029464 ACPFC7_1xLPS_3
- GSM5029465 ACPFC8_1xLPS_4
- GSM5029466 ACPFC9_2xLPS_1
+ 20 more — browse all 60 samples with per-sample file links →
- GSE341988 Sequential pathogen exposure normalizes the brain neuroimmune microenvironment and reveals a tissue-resident memory CD8 T cell-microglia axis shaping adult neurogenesis 8 samples shares memory, brain
- GSE271535 Microglia innate immune memory is retained after enforced repopulation [RNA-seq] 29 samples shares innate, memory
- GSE313021 STING–IFN–CH25H lipid axis links innate immune activation to tau pathology [scRNA-seq] 16 samples shares innate
- GSE235046 Innate immune and metabolic signaling retain damaged mitochondria at cell membranes for mitoxyperilysis 15 samples shares innate
- GSE302342 Lack of cortistatin drives neuroimmune and vascular dysfunction in brain ischemia 14 samples shares brain
- GSE290224 Intermittent Fasting Reprograms Chromatin Accessibility to Modulate Gene Expression in Brain and Muscle 96 samples shares brain
- GSE294536 NRF1-mediated Innate Immune Response Drives Cellular Senescence and Aging 12 samples shares innate
- GSE254162 Dynamic fibroblast-immune interactions shape recovery after brain injury [snRNASeq_Timecourse] 12 samples shares brain
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.