Organoid modeling of lung branching morphogenesis and epithelial lineage specification [BLO scRNA-seq]
Single-cell RNA-seq · mouse · 10 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
- 10 samples: 6 × Lung organoid dGroups 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 GSE301536_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 PRJNA1285395 and SRA study SRP597906. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 6 samples.
How we read this: 1 replicated groups read from 10 sample titles; they account for 6 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.
- GSM9084900 Lung organoid d8 Lung organoid d
- GSM9084901 Lung organoid d11 Lung organoid d
- GSM9084902 Lung organoid d19 Lung organoid d
- GSM9505682 E10.5 Tip
- GSM9505683 Lung organoid d2 Lung organoid d
- GSM9505684 Lung organoid d4 Lung organoid d
- GSM9505685 C57_lung_organoids_day11
- GSM9505686 E11.5_lung_organoids_day11
- GSM9505687 E12.5_lung_organoids_day9
- GSM9565277 Lung organoid d6 Lung organoid d
- GSE303739 Organoid modeling of lung branching morphogenesis and epithelial lineage specification 56 samples shares morphogenesis, specification, epithelial, branching, organoid, modeling
- GSE300722 Organoid modeling of lung branching morphogenesis and epithelial lineage specification [RNA-Seq] 40 samples shares morphogenesis, specification, epithelial, branching, organoid, modeling
- GSE269347 Daunorubicin-induced T cell remodeling facilitates a high antitumor response to PD-1 blockade therapy by promoting the expansion and effector function of CD8+ prolifeating T cells [scRNA-Seq] 16 samples shares blo, scrna-seq, modeling
- GSE299683 Longitudinal liquid biopsy identifies an early predictive biomarker of immune checkpoint blockade response in head and neck squamous cell carcinoma [scRNA-seq] 125 samples shares blo, scrna-seq
- 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 blo, scrna-seq
- GSE274973 Mouse liver assembloids model periportal architecture and biliary fibrosis [scRNA-seq] 13 samples shares blo, scrna-seq
- GSE311344 T cells in B16 tumor model with ACT and checkpoint blockade - scRNA-seq, CITE-seq and TCRab [i35] 15 samples shares blo, scrna-seq
- GSE269973 Signaling basis of gastric epithelial cell differentiation revealed by human and mouse organoids [RNA-Seq] 32 samples shares epithelial, organoid
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.