Dissecting the cellular architecture of breast cancer brain metastases reveals prognostically distinct immune landscapes [snRNA-Seq]
Single-nucleus RNA-seq · human · 28 samples
- What it is
- Single-nucleus RNA-seqGene activity measured in individual nuclei (used when whole cells are hard to isolate, for example from frozen tissue).
- Organism
- Homo sapiens (human)
- Samples
- 28 samples: 23 × snRNA-Seq NCHGroups 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
- Dissecting the cellular architecture of breast cancer brain metastases reveals prognostically distinct immune landscapesCancer cell · 2026
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 GSE324453_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 PRJNA1435165. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 23 samples.
How we read this: 1 replicated groups read from 28 sample titles; they account for 23 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.
- GSM9576856 snRNA-Seq NCH698g
- GSM9576857 snRNA-Seq NCH7023 snRNA-Seq NCH
- GSM9576858 snRNA-Seq NCH1475 snRNA-Seq NCH
- GSM9576859 snRNA-Seq NCH4464 snRNA-Seq NCH
- GSM9576860 snRNA-Seq NCH4160 snRNA-Seq NCH
- GSM9576861 snRNA-Seq NCH2972 snRNA-Seq NCH
- GSM9576862 snRNA-Seq NCH6239 snRNA-Seq NCH
- GSM9576863 snRNA-Seq NCH5119 snRNA-Seq NCH
- GSM9576864 snRNA-Seq NCH1367 snRNA-Seq NCH
- GSM9576865 snRNA-Seq NCH1098 snRNA-Seq NCH
- GSM9576866 snRNA-Seq NCH5475 snRNA-Seq NCH
- GSM9576867 snRNA-Seq NCH5597 snRNA-Seq NCH
- GSM9576868 snRNA-Seq NCH5474 snRNA-Seq NCH
- GSM9576869 snRNA-Seq NCH6248 snRNA-Seq NCH
- GSM9576870 snRNA-Seq NCH576b
- GSM9576871 snRNA-Seq NCH4033 snRNA-Seq NCH
- GSM9576872 snRNA-Seq NCH767 snRNA-Seq NCH
- GSM9576873 snRNA-Seq NCH7592 snRNA-Seq NCH
- GSM9576874 snRNA-Seq NCH998 snRNA-Seq NCH
- GSM9576875 snRNA-Seq NCH7611 snRNA-Seq NCH
- GSM9576876 snRNA-Seq NCH1638 snRNA-Seq NCH
- GSM9576877 snRNA-Seq NCH747q
- GSM9576878 snRNA-Seq NCH6115 snRNA-Seq NCH
- GSM9576879 snRNA-Seq NCH5557 snRNA-Seq NCH
- GSM9576880 snRNA-Seq NCH6077 snRNA-Seq NCH
- GSM9576881 snRNA-Seq NCH5616 snRNA-Seq NCH
- GSM9576882 snRNA-Seq NCH631b
- GSM9576883 snRNA-Seq NCH724Y
- GSE324454 Dissecting the cellular architecture of breast cancer brain metastases reveals prognostically distinct immune landscapes 128 samples shares prognostically, architecture, dissecting, metastases, landscapes, cellular, distinct
- GSE322943 Dissecting the cellular architecture of breast cancer brain metastases reveals prognostically distinct immune landscapes [RNA-Seq] 100 samples shares prognostically, architecture, dissecting, metastases, landscapes, cellular, distinct
- GSE245467 Immunogenomics and spatial proteomic mapping highlight distinct neuro-immune architectures in melanoma vs. non-melanoma-derived brain metastasis 54 samples shares architecture, distinct
- GSE310664 Analysis of experimental colorectal liver metastases identifies distinct proliferation independent transcriptional programs in micro- versus macrometastases 22 samples shares metastases, distinct
- GSE318564 Mapping the spatial architecture of glioblastoma from core to edge delineates niche-specific tumor cell states and intercellular interactions [scRNA-seq] 13 samples shares architecture, cellular
- GSE150938 Study of cellular architecture and immune cell characters in human lung GGNs through scRNA-seq 12 samples shares architecture, cellular
- GSE211376 Harmonized single-cell landscape, intercellular crosstalk and tumor architecture of glioblastoma 11 samples shares architecture, cellular
- GSE314972 Single-cell transcriptomic profiling of frontal fibrosing alopecia reveals preserved cellular architecture with stress-driven epithelial reprogramming and non-cytotoxic inflammation 8 samples shares architecture, cellular
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.