Neuronal Necroptosis Drives Neuroinflammation and Cognitive Decline Independent of Neuronal Cell Death
RNA-seq (gene expression) · mouse · 12 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
- 12 samples: 12 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
- Neuronal Necroptosis Drives Neuroinflammation and Cognitive Decline Independent of Neuronal Cell DeathAging and disease · 2025
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 GSE304069_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 PRJNA1298866 and SRA study SRP604736. 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 12 sample titles: 12 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.
- GSM9142625 21CornCor
- GSM9142626 22CornCor
- GSM9142627 23CornCor
- GSM9142628 24CornCor
- GSM9142629 25CornCor
- GSM9142630 26CornCor
- GSM9142631 27TamoCor
- GSM9142632 28TamoCor
- GSM9142633 29TamoCor
- GSM9142634 30TamoCor
- GSM9142635 31TamoCor
- GSM9142636 32TamoCor
- GSE307834 Intestinal interoceptive dysfunction drives age-associated cognitive decline [RNA-Seq] 20 samples shares cognitive, decline, drives
- GSE302188 Multi-omics analysis highlights the link of aging-related cognitive decline with systemic inflammation and alterations of tissue-maintenance 165 samples shares cognitive, decline
- GSE271598 Transcriptional Dysregulation in the Hippocampus of a Mouse Model for Parkinson's - Linked Cognitive Decline is Driven by Sex, Age, and Alpha-synuclein overexpression 64 samples shares cognitive, decline
- GSE261492 Hypertension Promotes Neuroinflammation, Brain Injury and Cognitive Impairment 48 samples shares neuroinflammation, cognitive
- GSE266454 AGED CD8+ T CELLS DRIVE COGNITIVE DECLINE VIA GZMK 21 samples shares cognitive, decline
- GSE269647 Beta2 adrenergic receptor-mediated abnormal myelopoiesis drives neuroinflammation in aged patients post traumatic brain injury 12 samples shares neuroinflammation, drives
- GSE295108 Fatty acid-binding protein 4 drives neuroinflammation after intracerebral hemorrhage 12 samples shares neuroinflammation, drives
- GSE287862 Secreted neurofilament light chain (NfL) after neuronal damage induces myeloid cell activation and neuroinflammation [bulkRNA-Seq] 12 samples shares neuroinflammation, neuronal
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.