Type I IFN impedes early bacterial control in TB-resistant and -susceptible mice and activates neutrophils to restrict lung macrophage-T cell interactions [RNA-seq]
Single-cell RNA-seq · mouse · 70 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
- Organism
- Mus musculus (mouse)
- Samples
- 70 samples: 15 conditions, mostly with about 5 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
- Type I IFN drives neutrophil swarming, impeding lung T cell-macrophage interactions and TB controlThe Journal of experimental medicine · 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 GSE298786_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.
Also filed as BioProject PRJNA1271108 and SRA study SRP589332. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 70 samples.
How we read this: 15 replicated groups read from 70 sample titles; they account for 70 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.
- GSM9023243 C57BL/6_uninfected_BAL_1 C57BL/6_uninfected_BAL
- GSM9023244 C57BL/6_uninfected_BAL_2 C57BL/6_uninfected_BAL
- GSM9023245 C57BL/6_uninfected_BAL_3 C57BL/6_uninfected_BAL
- GSM9023246 C57BL/6_uninfected_BAL_4 C57BL/6_uninfected_BAL
- GSM9023247 C57BL/6_uninfected_BAL_5 C57BL/6_uninfected_BAL
- GSM9023248 C57BL/6_Mtb_HN878_d14_BAL_1 C57BL/6_Mtb_HN878_d14_B…
- GSM9023249 C57BL/6_Mtb_HN878_d14_BAL_2 C57BL/6_Mtb_HN878_d14_B…
- GSM9023250 C57BL/6_Mtb_HN878_d14_BAL_3 C57BL/6_Mtb_HN878_d14_B…
- GSM9023251 C57BL/6_Mtb_HN878_d14_BAL_4 C57BL/6_Mtb_HN878_d14_B…
- GSM9023252 C57BL/6_Mtb_HN878_d14_BAL_5 C57BL/6_Mtb_HN878_d14_B…
- GSM9023253 C57BL/6_Mtb_HN878_d21_BAL_1 C57BL/6_Mtb_HN878_d21_B…
- GSM9023254 C57BL/6_Mtb_HN878_d21_BAL_2 C57BL/6_Mtb_HN878_d21_B…
- GSM9023255 C57BL/6_Mtb_HN878_d21_BAL_3 C57BL/6_Mtb_HN878_d21_B…
- GSM9023256 C57BL/6_Mtb_HN878_d21_BAL_4 C57BL/6_Mtb_HN878_d21_B…
- GSM9023257 C57BL/6_Mtb_HN878_d21_BAL_5 C57BL/6_Mtb_HN878_d21_B…
- GSM9023258 C3HeB/FeJ_uninfected_BAL_1 C3HeB/FeJ_uninfected_BAL
- GSM9023259 C3HeB/FeJ_uninfected_BAL_2 C3HeB/FeJ_uninfected_BAL
- GSM9023260 C3HeB/FeJ_uninfected_BAL_3 C3HeB/FeJ_uninfected_BAL
- GSM9023261 C3HeB/FeJ_uninfected_BAL_4 C3HeB/FeJ_uninfected_BAL
- GSM9023262 C3HeB/FeJ_uninfected_BAL_5 C3HeB/FeJ_uninfected_BAL
- GSM9023263 C3HeB/FeJ_Mtb_HN878_d14_BAL_1 C3HeB/FeJ_Mtb_HN878_d14…
- GSM9023264 C3HeB/FeJ_Mtb_HN878_d14_BAL_2 C3HeB/FeJ_Mtb_HN878_d14…
- GSM9023265 C3HeB/FeJ_Mtb_HN878_d14_BAL_3 C3HeB/FeJ_Mtb_HN878_d14…
- GSM9023266 C3HeB/FeJ_Mtb_HN878_d14_BAL_4 C3HeB/FeJ_Mtb_HN878_d14…
- GSM9023267 C3HeB/FeJ_Mtb_HN878_d14_BAL_5 C3HeB/FeJ_Mtb_HN878_d14…
- GSM9023268 C3HeB/FeJ_Mtb_HN878_d21_BAL_1 C3HeB/FeJ_Mtb_HN878_d21…
- GSM9023269 C3HeB/FeJ_Mtb_HN878_d21_BAL_2 C3HeB/FeJ_Mtb_HN878_d21…
- GSM9023270 C3HeB/FeJ_Mtb_HN878_d21_BAL_3 C3HeB/FeJ_Mtb_HN878_d21…
- GSM9023271 C3HeB/FeJ_Mtb_HN878_d21_BAL_4 C3HeB/FeJ_Mtb_HN878_d21…
- GSM9023272 C3HeB/FeJ_Mtb_HN878_d21_BAL_5 C3HeB/FeJ_Mtb_HN878_d21…
- GSM9023273 C57BL/6_uninfected_lung_1 C57BL/6_uninfected_lung
- GSM9023274 C57BL/6_uninfected_lung_2 C57BL/6_uninfected_lung
- GSM9023275 C57BL/6_uninfected_lung_3 C57BL/6_uninfected_lung
- GSM9023276 C57BL/6_uninfected_lung_4 C57BL/6_uninfected_lung
- GSM9023277 C57BL/6_uninfected_lung_5 C57BL/6_uninfected_lung
- GSM9023278 C57BL/6_Mtb_HN878_d14_lung_1 C57BL/6_Mtb_HN878_d14_l…
- GSM9023279 C57BL/6_Mtb_HN878_d14_lung_2 C57BL/6_Mtb_HN878_d14_l…
- GSM9023280 C57BL/6_Mtb_HN878_d14_lung_3 C57BL/6_Mtb_HN878_d14_l…
- GSM9023281 C57BL/6_Mtb_HN878_d14_lung_4 C57BL/6_Mtb_HN878_d14_l…
- GSM9023282 C57BL/6_Mtb_HN878_d14_lung_5 C57BL/6_Mtb_HN878_d14_l…
+ 30 more — browse all 70 samples with per-sample file links →
- GSE293493 Transcriptional effects of co-culture on the spatiotemporal dynamics of T cell motility and cancer-T cell interactions [bulk_seq_IFN] 10 samples shares ifn, interactions
- GSE326200 Absence of Clec1a in murine cDC1s decrease IFN responses to necrotic cells 237 samples shares ifn
- GSE313732 Type I IFN Dynamics Orchestrate Protective ICAM1⁺ Neutrophil Heterogeneity as an Early Checkpoint for Survival in Lethal Viral Infection [RNA-Seq] 78 samples shares ifn
- GSE309564 IFNg shapes macrophage inflammatory responses by STAT1 isoform-specific epigenetic and transcriptional mechanisms [RNA-Seq] 72 samples shares ifn
- GSE334405 cGAS-mediated IFN-I signaling contributes to disease progression in drug-refractory epilepsy 44 samples shares ifn
- GSE215179 Selective requirement of 3D genomic organization for the Mdm1-Il22-Ifng locus regulation in initial Th1 cell lineage specification and differentiation 30 samples shares ifn
- GSE297993 Effect of Ptpn1/2 knockout on the transcriptome of unstimulated or IFN-beta stimulated B16-OVA cells 30 samples shares ifn
- GSE297320 The mRNA levels of Ly6G+ cells from the bone marrow of septic mice after IFN-gamma stimulation. 30 samples shares ifn
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.