Pulmonary microvascular endothelial cells support alveolar epithelial growth via bone morphogenetic protein 6 secretion
RNA-seq (gene expression) · mouse · 72 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
- 72 samples: 72 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.
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 GSE271971_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 PRJNA1134224 and SRA study SRP519157. 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 72 sample titles: 72 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.
- GSM8389879 105506-001-001, Lung, wild-type, Air, 4 weeks
- GSM8389880 105506-001-002, Lung, wild-type, Air, 4 weeks
- GSM8389881 105506-001-003, Lung, wild-type, Air, 4 weeks
- GSM8389882 105506-001-004, Lung, wild-type, Air, 4 weeks
- GSM8389883 105506-001-005, Lung, wild-type, Air, 4 weeks
- GSM8389884 105506-001-006, Lung, wild-type, Air, 4 weeks
- GSM8389885 105506-001-007, Lung, wild-type, Air, 4 weeks
- GSM8389886 105506-001-008, Lung, wild-type, Air, 4 weeks
- GSM8389887 105506-001-009, Lung, wild-type, CS, 4 weeks
- GSM8389888 105506-001-010, Lung, wild-type, CS, 4 weeks
- GSM8389889 105506-001-011, Lung, wild-type, CS, 4 weeks
- GSM8389890 105506-001-012, Lung, wild-type, CS, 4 weeks
- GSM8389891 105506-001-013, Lung, wild-type, CS, 4 weeks
- GSM8389892 105506-001-014, Lung, wild-type, CS, 4 weeks
- GSM8389893 105506-001-015, Lung, wild-type, CS, 4 weeks
- GSM8389894 105506-001-016, Lung, wild-type, CS, 4 weeks
- GSM8389895 105506-001-017, Lung, BMP6 KO, Air, 4 weeks
- GSM8389896 105506-001-018, Lung, BMP6 KO, Air, 4 weeks
- GSM8389897 105506-001-019, Lung, BMP6 KO, Air, 4 weeks
- GSM8389898 105506-001-020, Lung, BMP6 KO, Air, 4 weeks
- GSM8389899 105506-001-021, Lung, BMP6 KO, Air, 4 weeks
- GSM8389900 105506-001-022, Lung, BMP6 KO, Air, 4 weeks
- GSM8389901 105506-001-023, Lung, BMP6 KO, Air, 4 weeks
- GSM8389902 105506-001-024, Lung, BMP6 KO, Air, 4 weeks
- GSM8389903 105506-001-025, Lung, BMP6 KO, CS, 4 weeks
- GSM8389904 105506-001-026, Lung, BMP6 KO, CS, 4 weeks
- GSM8389905 105506-001-027, Lung, BMP6 KO, CS, 4 weeks
- GSM8389906 105506-001-028, Lung, BMP6 KO, CS, 4 weeks
- GSM8389907 105506-001-029, Lung, BMP6 KO, CS, 4 weeks
- GSM8389908 105506-001-030, Lung, BMP6 KO, CS, 4 weeks
- GSM8389909 105506-001-031, Lung, BMP6 KO, CS, 4 weeks
- GSM8389910 105506-001-032, Lung, wild-type, Air, 24 weeks
- GSM8389911 105506-001-033, Lung, wild-type, Air, 24 weeks
- GSM8389912 105506-001-034, Lung, wild-type, Air, 24 weeks
- GSM8389913 105506-001-035, Lung, wild-type, Air, 24 weeks
- GSM8389914 105506-001-036, Lung, wild-type, Air, 24 weeks
- GSM8389915 105506-001-037, Lung, wild-type, Air, 24 weeks
- GSM8389916 105506-001-038, Lung, wild-type, Air, 24 weeks
- GSM8389917 105506-001-039, Lung, wild-type, Air, 24 weeks
- GSM8389918 105506-001-040, Lung, wild-type, Air, 24 weeks
+ 32 more — browse all 72 samples with per-sample file links →
- 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 epithelial, alveolar
- GSE287098 Influenza virus-induced type I interferons disrupt alveolar epithelial repair and tight junction integrity in the developing lung 96 samples shares epithelial, alveolar
- GSE316502 Transcriptomic Profiling of the Sex-linked Biological Pathways of Severe Pulmonary Arterial Hypertension associated with Endothelial Cell Caveolin-1 Depletion and Chronic Hypoxia 35 samples shares endothelial, pulmonary
- GSE271272 Fibroblast-derived osteoglycin promotes alveolar epithelial cell repair 32 samples shares epithelial, alveolar
- GSE325187 Senescent Endothelial Cells in Cerebral Microcirculation Are Key Drivers of Age-Related Blood-Brain Barrier Disruption, Microvascular Rarefaction, and Neurovascular Coupling Impairment in Mice 20 samples shares microvascular, endothelial
- GSE249931 Temporal single-cell profiling of distinct mesenchymal, epithelial, endothelial, and immune cell lineages in the lung after injury 17 samples shares endothelial, epithelial
- GSE273123 Aberrant Transitional Alveolar Epithelial Cells Promote Pathogenic Activation of Lung Fibroblasts in Preclinical Fibrosis Modeling (Bulk RNA-Seq) 16 samples shares epithelial, alveolar
- GSE271209 Therapeutic Single-Cell Landscape: Methotrexate Exacerbates Interstitial Lung Disease by Compromising the Stemness of Alveolar Epithelial Cells under Systemic Inflammation 16 samples shares epithelial, alveolar
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.