Beta2 adrenergic receptor-mediated abnormal myelopoiesis drives neuroinflammation in aged patients post traumatic brain injury
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: 3 × A-con vs 3 × A-TBI vs 3 × Y-con vs 3 × Y-TBIGroups 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 GSE269647_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 PRJNA1123153 and SRA study SRP513372. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 12 samples.
How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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.
- GSM8323627 A-con_1 A-con
- GSM8323632 A-con_2 A-con
- GSM8323639 A-con_3 A-con
- GSM8323644 A-TBI_1 A-TBI
- GSM8323650 A-TBI_2 A-TBI
- GSM8323656 A-TBI_3 A-TBI
- GSM8323661 Y-con_1 Y-con
- GSM8323666 Y-con_2 Y-con
- GSM8323672 Y-con_3 Y-con
- GSM8323678 Y-TBI_1 Y-TBI
- GSM8323685 Y-TBI_2 Y-TBI
- GSM8323691 Y-TBI_3 Y-TBI
- GSE276761 IL-10-dependent Treg-microglia crosstalk induced by nasal anti-CD3 mAb ameliorates traumatic brain injury by modulating microglial phagocytosis and neuroinflammation. 136 samples shares neuroinflammation, traumatic
- GSE297412 Zileuton protects against arachidonic acid/5-lipoxygenase/leukotriene axis-mediated neuroinflammation in experimental traumatic brain injury 12 samples shares neuroinflammation, traumatic
- GSE295108 Fatty acid-binding protein 4 drives neuroinflammation after intracerebral hemorrhage 12 samples shares neuroinflammation, drives
- GSE304069 Neuronal Necroptosis Drives Neuroinflammation and Cognitive Decline Independent of Neuronal Cell Death 12 samples shares neuroinflammation, drives
- GSE277245 Innate immune signaling by ZBP1-RIPK1 axis drives neuroinflammation in Alzheimer's disease 28 samples shares neuroinflammation, drives
- GSE261845 Targeting melanoma cell-intrinsic beta2 integrin inhibits ICAM-1-mediated tumor progression 20 samples shares beta2
- GSE327494 Localized PD-1 CAR T therapy reprograms neuroinflammation - mouse CAR T data. 302 samples shares neuroinflammation
- GSE252778 Neuroinflammation underlies the development of social stress induced cognitive deficit in sickle cell disease. 135 samples shares neuroinflammation
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.