Human myeloid ontogeny drives differentiation potential in the brain environment [RNA-seq]
RNA-seq (gene expression) · human · 37 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
- 37 samples: 6 conditions, mostly with about 6 replicates eachGroups 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
- Global human myeloid replacement with peripheral progenitors induces interferonopathy and neurodegenerationResearch square · 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 GSE299717_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 PRJNA1276122 and SRA study SRP591733. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 37 samples.
How we read this: 6 replicated groups read from 37 sample titles; they account for 37 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.
- GSM9044752 ec11_brain1 ec11_brain
- GSM9044753 ec11_brain2 ec11_brain
- GSM9044754 ec11_brain3 ec11_brain
- GSM9044755 ec11_brain4 ec11_brain
- GSM9044756 ec11_brain5 ec11_brain
- GSM9044757 ec11_brain6 ec11_brain
- GSM9044758 ec11_periphery1 ec11_periphery
- GSM9044759 ec11_periphery2 ec11_periphery
- GSM9044760 ec11_periphery3 ec11_periphery
- GSM9044761 ec11_periphery4 ec11_periphery
- GSM9044762 ec11_periphery5 ec11_periphery
- GSM9044763 ec11_periphery6 ec11_periphery
- GSM9044764 CD34_brain1 CD34_brain
- GSM9044765 CD34_brain2 CD34_brain
- GSM9044766 CD34_brain3 CD34_brain
- GSM9044767 CD34_brain4 CD34_brain
- GSM9044768 CD34_brain5 CD34_brain
- GSM9044769 CD34_brain6 CD34_brain
- GSM9044770 monocytes_brain1 monocytes_brain
- GSM9044771 monocytes_brain2 monocytes_brain
- GSM9044772 monocytes_brain3 monocytes_brain
- GSM9044773 monocytes_brain4 monocytes_brain
- GSM9044774 monocytes_brain5 monocytes_brain
- GSM9044775 monocytes_brain6 monocytes_brain
- GSM9044776 monocytes_brain7 monocytes_brain
- GSM9044777 CD34_periphery1 CD34_periphery
- GSM9044778 CD34_periphery2 CD34_periphery
- GSM9044779 CD34_periphery3 CD34_periphery
- GSM9044780 CD34_periphery4 CD34_periphery
- GSM9044781 CD34_periphery5 CD34_periphery
- GSM9044782 CD34_periphery6 CD34_periphery
- GSM9044783 monocytes_periphery1 monocytes_periphery
- GSM9044784 monocytes_periphery2 monocytes_periphery
- GSM9044785 monocytes_periphery3 monocytes_periphery
- GSM9044786 monocytes_periphery4 monocytes_periphery
- GSM9044787 monocytes_periphery5 monocytes_periphery
- GSM9044788 monocytes_periphery6 monocytes_periphery
- GSE307264 Human myeloid ontogeny drives differentiation potential in the brain environment. 105 samples shares environment, potential, ontogeny, myeloid, drives, brain
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- GSE335924 RNA-seq Identifies FOS as a Potential Therapeutic Target Activating Neural Stem Cells via miR-21/SOX2 Pathway in Hypertensive Intracerebral Hemorrhage 53 samples shares potential, rna-seq
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- GSE289930 Proteogenomic Characterization of Primary Oral Cancer Unveils Extracellular Matrix Remodeling and Immunosuppressive Microenvironment Linked to Lymph Node Metastasis [RNA-seq] 33 samples shares environment, rna-seq
- GSE319656 Bone Marrow Microenvironment in Aplastic Anemia: Insights from Nestin/ CXCL12 Immunohistochemistry and RNA-Sequencing 28 samples shares environment, rna-seq
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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.