Addressing the multiple facets of ligand-receptor network inference
Single-cell RNA-seq · mouse · 13 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
- 13 samples: 7 × PGroups 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
- Addressing multiple facets of ligand-receptor network inference including single-cell proteomicsNucleic acids research · 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 GSE309679_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 PRJNA1336729 and SRA study SRP630040. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 7 samples.
How we read this: 1 replicated groups read from 13 sample titles; they account for 7 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.
- GSM9271949 Ctrl_h_hPanc
- GSM9271950 Ctrl_m_BAT
- GSM9271951 P1219 P
- GSM9271952 P1368 P
- GSM9271953 P2846_GR
- GSM9271954 P2846 P
- GSM9271955 P2846_wt
- GSM9271956 P4604 P
- GSM9271957 P6212 P
- GSM9271958 P7054_2
- GSM9271959 P8121 P
- GSM9271960 P8264 P
- GSM9271961 PancPEC
- GSE303731 scRNA-seq of vascular endothelial cells from multiple mouse tissues and human limb muscle 8 samples shares multiple
- GSE244512 KDM6A Regulates Immunogenicity of Multiple Myeloma 70 samples shares multiple
- GSE197289 Human and mouse trigeminal ganglia cell atlas implicates multiple cell types in migraine 36 samples shares multiple
- GSE244510 KDM6A Regulates Immunogenicity of Multiple Myeloma (ChIP-seq) 24 samples shares multiple
- GSE68103 Multiplex Single Cell Profiling of Chromatin Accessibility by Combinatorial Cellular Indexing 12 samples shares multiple
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.