In vivo intratumoral Heterogeneity in a dish: Scalable Forebrain Organoid Models of Embryonal Brain Tumors for High-Throughput Personalized Drug Discovery (human organoids subset 3)
Single-cell RNA-seq · human
- 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
- Homo sapiens (human)
- 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
- In vivo intratumoral heterogeneity in a dish: scalable forebrain organoid models of embryonal brain tumors for high-throughput personalized drug discoveryCancer communications (London, England) · 2025
Read the full summary ↓
Direct links to NCBI, 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.
Whole study · RAW.tar
Everything the authors deposited as one archive (GSE270070_RAW.tar), including the raw array or instrument files. Can be large; the picker in step 2 takes just the samples you need.
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.
The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.
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- GSE267071 3D Intercellular Assembly of Decellularized Matrix Recapitulates In Vivo Tumor Heterogeneity 34 samples shares heterogeneity
- GSE305709 IVT-Free, in silico-synthesized protein-encoding RNA Oligonucleotides for rapid production of personalized cancer vaccines 21 samples shares personalized
- GSE291189 High-throughput single cell omics using semipermeable capsules 6 samples shares high-throughput
- GSE253163 Scalable ultra-high-throughput single-cell chromatin and RNA sequencing reveals gene regulatory dynamics linking macrophage polarization to autoimmune disease [NIH-3T3_K562_RNA_with_blocking] 1 samples shares high-throughput
- GSE236360 Tracking-seq reveals the heterogeneity of off-target effects in CRISPR/Cas9-mediated genome editing 111 samples shares heterogeneity
- GSE65364 Single Cell triple omics sequencing reveals genetic and epigenetic heterogeneity in hepatocellular carcinoma 95 samples shares heterogeneity
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.