Fate mapping of peripherally derived macrophages reveals a long-lasting engrafted population that maintains a distinct transcriptomic profile for up to 8 months after Traumatic Brain Injury IV
RNA-seq (gene expression) · human · 14 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
- Homo sapiens (human)
- Samples
- 14 samples
- 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
- Fate mapping of peripherally-derived macrophages after traumatic brain injury in mice reveals a long-lasting population with a distinct transcriptomic signatureNature communications · 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 GSE294775_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 PRJNA1251589 and SRA study SRP579273. Searching any of these in the dataset finder brings you back here.
The grouping that defines any comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Sample titles run Sample 1 … Sample 14 and carry no group information.
- GSM8919339 Sample 1
- GSM8919340 Sample 2
- GSM8919341 Sample 3
- GSM8919342 Sample 4
- GSM8919343 Sample 5
- GSM8919344 Sample 6
- GSM8919345 Sample 7
- GSM8919346 Sample 8
- GSM8919347 Sample 9
- GSM8919348 Sample 10
- GSM8919349 Sample 11
- GSM8919350 Sample 12
- GSM8919351 Sample 13
- GSM8919352 Sample 14
- GSE278456 Distinct Myeloid Derived Suppressor Cell Populations in Human Glioblastoma 39 samples shares population, distinct
- GSE276889 Mitochondria isolated from male skeletal muscle contain a small and distinct population of microRNA that are differentially expressed following acute endurance exercise 33 samples shares population, distinct
- GSE333857 Population-associated molecular variation in histologically normal breast tissue is context-dependent and associated with distinct transcriptional states 29 samples shares population, distinct
- GSE287976 Single-Cell Omics Analysis of Human Basophils Reveals Two Transcriptionally Distinct Populations 12 samples shares population, distinct
- GSE301390 Prediction and Characterization of Genetically-Regulated Expression of Asthma Tissues from African-Ancestry Populations 260 samples shares population
- GSE313992 Comparative Immunotoxicity and Transcriptomic Profiling of Seven PFAS in THP-1 Macrophages 252 samples shares macrophages
- GSE281471 Targeting CD206+ macrophages disrupts the establishment of a key anti-tumor immune axis [Bulk RNA-seq] 243 samples shares macrophages
- GSE269009 RNA-seq of monocyte derived macrophages and dendritic cells in a Peruvian Tuberculosis cohort 227 samples shares macrophages
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.