Metabolic rewiring tunes dermal macrophages in staphylococcal skin infection
RNA-seq (gene expression) · mouse · 36 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
- 36 samples: 12 conditions, mostly in triplicateGroups 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 GSE174676_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 PRJNA731042 and SRA study SRP320475. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 36 samples.
How we read this: 12 replicated groups read from 36 sample titles; they account for 36 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.
- GSM5322295 S963Nr1: M-CSF HIF1α ko (Cre+) Control Rep1 M-CSF HIF1α ko (Cre+) C…
- GSM5322296 S963Nr2: M-CSF HIF1α ko (Cre+) Control Rep2 M-CSF HIF1α ko (Cre+) C…
- GSM5322297 S963Nr3: M-CSF HIF1α ko (Cre+) Control Rep3 M-CSF HIF1α ko (Cre+) C…
- GSM5322298 S963Nr4: M-CSF WT (Cre-) Control Rep1 M-CSF WT (Cre-) Control
- GSM5322299 S963Nr5: M-CSF WT (Cre-) Control Rep2 M-CSF WT (Cre-) Control
- GSM5322300 S963Nr6: M-CSF WT (Cre-) Control Rep3 M-CSF WT (Cre-) Control
- GSM5322301 S963Nr7: M-CSF HIF1α ko (Cre+) heat fixed S. aureus Rep1 M-CSF HIF1α ko (Cre+) h…
- GSM5322302 S963Nr8: M-CSF HIF1α ko (Cre+) heat fixed S. aureus Rep2 M-CSF HIF1α ko (Cre+) h…
- GSM5322303 S963Nr9: M-CSF HIF1α ko (Cre+) heat fixed S. aureus Rep3 M-CSF HIF1α ko (Cre+) h…
- GSM5322304 S963Nr10: M-CSF WT (Cre-) heat fixed S. aureus Rep1 M-CSF WT (Cre-) heat fi…
- GSM5322305 S963Nr11: M-CSF WT (Cre-) heat fixed S. aureus Rep2 M-CSF WT (Cre-) heat fi…
- GSM5322306 S963Nr12: M-CSF WT (Cre-) heat fixed S. aureus Rep3 M-CSF WT (Cre-) heat fi…
- GSM5322307 S963Nr13: GM-CSF HIF1α ko (Cre+) Control Rep1 GM-CSF HIF1α ko (Cre+) …
- GSM5322308 S963Nr14: GM-CSF HIF1α ko (Cre+) Control Rep2 GM-CSF HIF1α ko (Cre+) …
- GSM5322309 S963Nr15: GM-CSF HIF1α ko (Cre+) Control Rep3 GM-CSF HIF1α ko (Cre+) …
- GSM5322310 S963Nr16: GM-CSF WT (Cre-) Control Rep1 GM-CSF WT (Cre-) Control
- GSM5322311 S963Nr17: GM-CSF WT (Cre-) Control Rep2 GM-CSF WT (Cre-) Control
- GSM5322312 S963Nr18: GM-CSF WT (Cre-) Control Rep3 GM-CSF WT (Cre-) Control
- GSM5322313 S963Nr19: GM-CSF HIF1α ko (Cre+) heat fixed S. aureus Rep1 GM-CSF HIF1α ko (Cre+) …
- GSM5322314 S963Nr20: GM-CSF HIF1α ko (Cre+) heat fixed S. aureus Rep2 GM-CSF HIF1α ko (Cre+) …
- GSM5322315 S963Nr21: GM-CSF HIF1α ko (Cre+) heat fixed S. aureus Rep3 GM-CSF HIF1α ko (Cre+) …
- GSM5322316 S963Nr22: GM-CSF WT (Cre-) heat fixed S. aureus Rep1 GM-CSF WT (Cre-) heat f…
- GSM5322317 S963Nr23: GM-CSF WT (Cre-) heat fixed S. aureus Rep2 GM-CSF WT (Cre-) heat f…
- GSM5322318 S963Nr24: GM-CSF WT (Cre-) heat fixed S. aureus Rep3 GM-CSF WT (Cre-) heat f…
- GSM5322319 Control (1): Control dermal macrophages rep1 Control dermal macropha…
- GSM5322320 Control (2): Control dermal macrophages rep2 Control dermal macropha…
- GSM5322321 Control (3): Control dermal macrophages rep3 Control dermal macropha…
- GSM5322322 Day 1 (1): 1 day post infection dermal macrophages rep1 1 day post infection de…
- GSM5322323 Day 1 (2): 1 day post infection dermal macrophages rep2 1 day post infection de…
- GSM5322324 Day 1 (3): 1 day post infection dermal macrophages rep3 1 day post infection de…
- GSM5322325 Day 5 (1): 5 days post infection dermal macrophages rep1 5 days post infection d…
- GSM5322326 Day 5 (2): 5 days post infection dermal macrophages rep2 5 days post infection d…
- GSM5322327 Day 5 (3): 5 days post infection dermal macrophages rep3 5 days post infection d…
- GSM5322328 Day 7 (1): 7 days post infection dermal macrophages rep1 7 days post infection d…
- GSM5322329 Day 7 (2): 7 days post infection dermal macrophages rep2 7 days post infection d…
- GSM5322330 Day 7 (3): 7 days post infection dermal macrophages rep3 7 days post infection d…
- GSE325061 Ubiquitylation by the GID/CTLH complex regulates the metabolic and innate immune response of macrophages to infection by Mycobacterium tuberculosis 12 samples shares macrophages
- GSE319035 P21+TREM2+-Senescent Macrophages Fuel Inflammaging and Metabolic Dysfunction-Associated Steatotic Liver Disease [NAFLD_time_course] 77 samples shares macrophages
- GSE313869 Impact of Fc engineering on the transcriptional profile of monocytes and interstitial macrophages in the lungs of Hu-FcgR Tg mice after MA30 infection 36 samples shares macrophages
- GSE318801 P21+TREM2+-Senescent Macrophages Fuel Inflammaging and Metabolic Dysfunction-Associated Steatotic Liver Disease. 20 samples shares macrophages
- GSE337952 Transcriptomic Profiling of Murine Macrophages During Francisella tularensis Infection 20 samples shares macrophages
- GSE295605 Dermal adipocytes activate hair follicle stem cells through metabolic communication [SDS II] 16 samples shares dermal
- GSE318804 P21+TREM2+-Senescent Macrophages Fuel Inflammaging and Metabolic Dysfunction-Associated Steatotic Liver Disease. [macro_senescence] 12 samples shares macrophages
- GSE318651 P21+TREM2+-Senescent Macrophages Fuel Inflammaging and Metabolic Dysfunction-Associated Steatotic Liver Disease [RNAseq_sgCMPK2] 12 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.