Innate immune signaling by ZBP1-RIPK1 axis drives neuroinflammation in Alzheimer's disease
RNA-seq (gene expression) · mouse · 28 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
- 28 samples: 8 conditions, mostly in triplicateGroups 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 GSE277245_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 PRJNA1161423 and SRA study SRP532831. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 24 samples.
How we read this: 8 replicated groups read from 28 sample titles; they account for 24 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.
- GSM8517051 JZ24113084-DN1 JZ24113084-DN
- GSM8517052 JZ24113084-DN2 JZ24113084-DN
- GSM8517053 JZ24113084-DN3 JZ24113084-DN
- GSM8517054 JZ24113084-DNF1 JZ24113084-DNF
- GSM8517055 JZ24113084-DNF2 JZ24113084-DNF
- GSM8517056 JZ24113084-DNF3 JZ24113084-DNF
- GSM8517057 JZ24113084-WF1 JZ24113084-WF
- GSM8517058 JZ24113084-WF2 JZ24113084-WF
- GSM8517059 JZ24113084-WF3 JZ24113084-WF
- GSM8517060 JZ24113084-WT1 JZ24113084-WT
- GSM8517061 JZ24113084-WT2 JZ24113084-WT
- GSM8517062 JZ24113084-WT3 JZ24113084-WT
- GSM8517063 SQ24007030-WF1 SQ24007030-WF
- GSM8517064 SQ24007030-WF2 SQ24007030-WF
- GSM8517065 SQ24007030-WF3 SQ24007030-WF
- GSM8517066 SQ24007030-WT1 SQ24007030-WT
- GSM8517067 SQ24007030-WT2 SQ24007030-WT
- GSM8517068 SQ24007030-WT3 SQ24007030-WT
- GSM8517069 SQ24007030-ZF1 SQ24007030-ZF
- GSM8517070 SQ24007030-ZF2 SQ24007030-ZF
- GSM8517071 SQ24007030-ZF3 SQ24007030-ZF
- GSM8517072 SQ24007030-ZW1 SQ24007030-ZW
- GSM8517073 SQ24007030-ZW2 SQ24007030-ZW
- GSM8517074 SQ24007030-ZW3 SQ24007030-ZW
- GSM8517075 input_FAD_ZBP1
- GSM8517076 input_WT_ZBP1
- GSM8517077 IP_FAD_ZBP1
- GSM8517078 IP_WT_ZBP1
- GSE292137 Excitatory Neuronal ErbB4 Drives Early Pathophysiology of Alzheimer's Disease 18 samples shares alzheimer, drives
- GSE302245 Locus Coeruleus noradrenergic axon loss drives olfactory dysfunction in Alzheimer's disease 16 samples shares alzheimer, drives
- GSE327604 Epigenetic control of microglial mitochondrial immunity by KAT7 drives Alzheimer’s disease pathogenesis [RNA-Seq] 12 samples shares alzheimer, drives
- GSE291075 The transcription factor NFIL3 drives innate lymphoid cell specification from lymphoid progenitors [RNA-seq - ex vivo, Nfil3] 27 samples shares innate, drives
- GSE232098 Innate immune memory after brain injury drives inflammatory cardiac dysfunction 20 samples shares innate, drives
- GSE296797 CD38+CD93+ microglia and macrophages drive neuroinflammation through glycolysis-histone lactylation axis in multiple sclerosis model mice 17 samples shares neuroinflammation, axis
- GSE313021 STING–IFN–CH25H lipid axis links innate immune activation to tau pathology [scRNA-seq] 16 samples shares innate, axis
- GSE294536 NRF1-mediated Innate Immune Response Drives Cellular Senescence and Aging 12 samples shares innate, 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.