Therapeutic potential of human microglial transplantation in a chimeric model of CSF1R-related leukoencephalopathy
RNA-seq (gene expression) · human · 13 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
- 13 samples: 5 × hCSF1 vs 4 × hFIRE_HPC vs 4 × hFIRE_PBSGroups 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
- Therapeutic potential of human microglia transplantation in a chimeric model of CSF1R-related leukoencephalopathyNeuron · 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 GSE253623_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 PRJNA1066365 and SRA study SRP484622. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 13 samples.
How we read this: 3 replicated groups read from 13 sample titles; they account for 13 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.
- GSM8024314 hFIRE_HPC_1 hFIRE_HPC
- GSM8024315 hFIRE_PBS_1 hFIRE_PBS
- GSM8024316 hFIRE_HPC_2 hFIRE_HPC
- GSM8024317 hFIRE_HPC_3 hFIRE_HPC
- GSM8024318 hFIRE_PBS_2 hFIRE_PBS
- GSM8024319 hFIRE_PBS_3 hFIRE_PBS
- GSM8024320 hFIRE_PBS_4 hFIRE_PBS
- GSM8024321 hFIRE_HPC_4 hFIRE_HPC
- GSM8024322 hCSF1_1 hCSF1
- GSM8024323 hCSF1_2 hCSF1
- GSM8024324 hCSF1_3 hCSF1
- GSM8024325 hCSF1_4 hCSF1
- GSM8024326 hCSF1_5 hCSF1
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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.