Transcrioptome analysis of irradiated mouse macrophages
RNA-seq (gene expression) · mouse · 27 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
- 27 samples: 27 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.
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 GSE246969_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 PRJNA1035465 and SRA study SRP470088. 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 27 sample titles: 27 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.
- GSM7881635 FLASH proton-irradiated M0 macrophage_1 [FL-M0-0423]
- GSM7881636 FLASH proton-irradiated M0 macrophage_2 [FL-M0-0507]
- GSM7881637 FLASH proton-irradiated M0 macrophage_3 [FL-M0-0512]
- GSM7881638 FLASH proton-irradiated M1 macrophage_1 [FL-M1-0423]
- GSM7881639 FLASH proton-irradiated M1 macrophage_2 [FL-M1-0507]
- GSM7881640 FLASH proton-irradiated M1 macrophage_3 [FL-M1-0512]
- GSM7881641 FLASH proton-irradiated M2 macrophage_1 [FL-M2-0423]
- GSM7881642 FLASH proton-irradiated M2 macrophage_2 [FL-M2-0507]
- GSM7881643 FLASH proton-irradiated M2 macrophage_3 [FL-M2-0512]
- GSM7881644 Non-irradiated M0 macrophage_1 [NT-M0-0423]
- GSM7881645 Non-irradiated M0 macrophage_2 [NT-M0-0507]
- GSM7881646 Non-irradiated M0 macrophage_3 [NT-M0-0512]
- GSM7881647 Non-irradiated M1 macrophage_1 [NT-M1-0423]
- GSM7881648 Non-irradiated M1 macrophage_2 [NT-M1-0507]
- GSM7881649 Non-irradiated M1 macrophage_3 [NT-M1-0512]
- GSM7881650 Non-irradiated M2 macrophage_1 [NT-M2-0423]
- GSM7881651 Non-irradiated M2 macrophage_2 [NT-M2-0507]
- GSM7881652 Non-irradiated M2 macrophage_3 [NT-M2-0512]
- GSM7881653 Standard proton-irradiated M0 macrophage_1 [ST-M0-0423]
- GSM7881654 Standard proton-irradiated M0 macrophage_2 [ST-M0-0507]
- GSM7881655 Standard proton-irradiated M0 macrophage_3 [ST-M0-0512]
- GSM7881656 Standard proton-irradiated M1 macrophage_1 [ST-M1-0423]
- GSM7881657 Standard proton-irradiated M1 macrophage_2 [ST-M1-0507]
- GSM7881658 Standard proton-irradiated M1 macrophage_3 [ST-M1-0512]
- GSM7881659 Standard proton-irradiated M2 macrophage_1 [ST-M2-0423]
- GSM7881660 Standard proton-irradiated M2 macrophage_2 [ST-M2-0507]
- GSM7881661 Standard proton-irradiated M2 macrophage_3 [ST-M2-0512]
- GSE263892 Single-cell analysis reveals Mycobacterium tuberculosis ESX-1-mediated accumulation of permissive macrophages in infected mouse lungs 6078 samples shares macrophages
- GSE272755 Transcriptional effects of lysosome stress on mouse bone marrow-derived macrophages and primary microglia 263 samples shares macrophages
- GSE319684 Timecourse of FACS sorted Ly6C+ monocytes, tissue resident alveolar macrophages (trAMs), monocyte derived alveolar macrophages (bmAMs) and epithelial cells from SARS-CoV-2 (maVie16) vs. IAV (PR8) infected mouse lungs 176 samples shares macrophages
- GSE268843 Gene expression analysis of macrophages exposed to LPS and LPS-coated beads 18 samples shares macrophages
- GSE300757 Efferocytosis induces proangiogenic function and chromatin remodeling in tumor-associated macrophages 127 samples shares macrophages
- GSE140693 Differential gene expression in male mouse macrophages from BAL 16 samples shares macrophages
- GSE319035 P21+TREM2+-Senescent Macrophages Fuel Inflammaging and Metabolic Dysfunction-Associated Steatotic Liver Disease [NAFLD_time_course] 77 samples shares macrophages
- GSE268828 Transcriptomic profile of monocytes/ macrophages from injured bone, muscle, skin or heart tissues of Treg-depleted mice 56 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.