Lung scRNA-seq reveals chronic inflammation and emphysemous phenotype in mice with Osteogenesis Imperfecta
Single-cell RNA-seq · mouse · 16 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
- Organism
- Mus musculus (mouse)
- Samples
- 16 samples: 4 × WT_P28 vs 2 × Aga_P5_59 vs 2 × Aga_P5_74 vs 2 × WT_P5_59Groups 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
- Lung scRNA-seq reveals chronic inflammation and emphysemous phenotype in mice with osteogenesis imperfectaFrontiers in genetics · 2026
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 GSE304840_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 PRJNA1303020 and SRA study SRP607310. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 10 samples.
How we read this: 4 replicated groups read from 16 sample titles; they account for 10 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.
- GSM9157975 Aga_P5_59-1 Aga_P5_59
- GSM9157976 Aga_P5_59-5 Aga_P5_59
- GSM9157977 Aga_P5_74-2 Aga_P5_74
- GSM9157978 Aga_P5_74-3 Aga_P5_74
- GSM9157979 WT_P5_24-2
- GSM9157980 WT_P5_59-2 WT_P5_59
- GSM9157981 WT_P5_59-3 WT_P5_59
- GSM9157982 WT_P5_74-5
- GSM9157983 Aga_P28_69-3
- GSM9157984 Aga_P28_70-1
- GSM9157985 Aga_P28_101-1
- GSM9157986 Aga_P28_810
- GSM9157987 WT_P28_794 WT_P28
- GSM9157988 WT_P28_808 WT_P28
- GSM9157989 WT_P28_809 WT_P28
- GSM9157990 WT_P28_831 WT_P28
- GSE300288 Single-cell and spatial transcriptomics analysis of tobacco-associated lung adenocarcinoma development, and in response to targeting inflammation alone or in combination with immune checkpoint blockade in precancerous phase [scRNA-seq] 31 samples shares scrna-seq, lung
- GSE333701 Transcriptional Profiling of Otic Capsule and Femur in the oim Mouse Model of Osteogenesis Imperfecta 140 samples shares osteogenesis, imperfecta
- GSE300299 Chikungunya virus persists in joint-associated macrophages and promotes chronic disease in mice [scRNA-seq] 12 samples shares scrna-seq, chronic
- GSE270443 Osteoclast-independent osteocyte dendrite defects in mice bearing the Osteogenesis Imperfecta-causing Sp7 R342C mutation 12 samples shares osteogenesis, imperfecta
- GSE306035 scRNA-Seq of immune populations from nasal mucosa and lungs of C57BL/6 mice and BLT1 receptor deficient mice infected intranasally with MCMV K181 strain 20 samples shares scrna-seq, lung
- GSE241770 ACSS2 mediates an epigenetic pathway to regulate maternal Beta-cell adaptation and progression of gestational diabetes (scRNA-Seq) 7899 samples shares scrna-seq
- GSE294999 Obesity-driven inflammation enables triple-negative breast cancer progression through immunosuppression [scRNA-Seq] 16 samples shares scrna-seq
- GSE269507 The interleukin 22–oncostatin M axis promotes intestinal inflammation and tumorigenesis [scRNA-seq] 12 samples shares scrna-seq
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.