Single-cell transcriptomic profiles of metastatic lesion biopsies and PBMCs from M1-stage prostate cancer patients
Single-cell RNA-seq · human · 12 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
- Organism
- Homo sapiens (human)
- Samples
- 12 samples: 7 × PBMC_M1 vs 5 × Single-cell RNA-seq of metastatic prostate cancer sample MGroups 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
- CD45⁺ hybrid circulating cells may reflect tumor-immune interactions and serve as transcriptomic indicators of metastatic potential in prostate cancerTheranostics · 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 GSE297652_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 PRJNA1265622. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 12 samples.
How we read this: 2 replicated groups read from 12 sample titles; they account for 12 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.
- GSM8996186 Single-cell RNA-seq of metastatic prostate cancer sample M1 Single-cell RNA-seq of …
- GSM8996187 Single-cell RNA-seq of metastatic prostate cancer sample M2 Single-cell RNA-seq of …
- GSM8996188 Single-cell RNA-seq of metastatic prostate cancer sample M3 Single-cell RNA-seq of …
- GSM8996189 Single-cell RNA-seq of metastatic prostate cancer sample M4 Single-cell RNA-seq of …
- GSM8996190 Single-cell RNA-seq of metastatic prostate cancer sample M5 Single-cell RNA-seq of …
- GSM9293871 PBMC_M1_1 PBMC_M1
- GSM9293872 PBMC_M1_2 PBMC_M1
- GSM9293873 PBMC_M1_3 PBMC_M1
- GSM9293874 PBMC_M1_4 PBMC_M1
- GSM9293875 PBMC_M1_5 PBMC_M1
- GSM9293876 PBMC_M1_6 PBMC_M1
- GSM9293877 PBMC_M1_7 PBMC_M1
- GSE324131 A single-cell and spatial atlas of prostate cancer reveals the combinatorial nature of gene modules underlying lineage plasticity and metastasis 38 samples shares single-cell, prostate
- GSE294300 Single-cell gene expression profiles of cells from primary colorectal cancer and adjacent normal tissue [scRNA-Seq] 36 samples shares single-cell, profiles
- GSE203067 Single-Cell Transcriptomic Analysis of Primary and Metastatic Tumor Ecosystems in Esophageal Squamous Cell Carcinoma 21 samples shares single-cell, metastatic
- GSE277524 Single-cell dissection of multifocal bladder cancer reveals malignant and immune cells variation between primary and recurrence tumor lesions 10 samples shares single-cell, lesion
- GSE297537 Single-Cell Transcriptomic Landscape of Laryngeal Squamous Cell Carcinoma from Precancerous to Cancerous Lesions 6 samples shares single-cell, lesion
- GSE279945 OP3: single-cell multimodal dataset in PBMCs for perturbation prediction benchmarking 102 samples shares single-cell, pbmcs
- GSE305971 Integrative single-cell analysis reveals malignant archetypes and proliferative hierarchies in multiple myeloma 2105 samples shares single-cell
- GSE205154 Bulk RNA-Seq gene expression data for 289 primary and metastatic pancreatic ductal adenocarcinoma (PDAC) tumor samples from FFPE blocks. 289 samples shares metastatic
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.