Integrated Single-Cell and Spatial Transcriptomics Uncover Distinct Cellular Subtypes Involved in Neural Invasion in PDAC [scRNA-Seq]
Spatial transcriptomics · human · 29 samples
- What it is
- Spatial transcriptomicsGene activity measured with its position in a tissue section.
- Organism
- Homo sapiens (human)
- Samples
- 29 samples: 29 samples, each with a distinct title — no replicated groupsGroups 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
- Integrated single-cell and spatial transcriptomics uncover distinct cellular subtypes involved in neural invasion in pancreatic cancerCancer cell · 2025
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 GSE278688_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: Spatial studies usually ship Space Ranger style folders (count matrix plus tissue images). Look for them among the supplementary files.
Also filed as BioProject PRJNA1168417. Searching any of these in the dataset finder brings you back here.
Supports a case/control comparison: 13 samples read as cases, 5 as controls.
How we read this: Read from 29 sample titles: 29 distinct titles with little repetition. 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.
- GSM8582554 PA#01, Tumor, scRNA-seq
- GSM8582555 PA#02, Tumor, scRNA-seq
- GSM8582556 PA#04, Tumor, scRNA-seq
- GSM8582557 PA#04, Normal, scRNA-seq
- GSM8582558 PA#05, Tumor, scRNA-seq
- GSM8582559 PA#05, PBMC, scRNA-seq
- GSM8582560 PA#06, Tumor, scRNA-seq
- GSM8582561 PA#06, Normal, scRNA-seq
- GSM8582562 PA#06, PBMC, scRNA-seq
- GSM8582563 PA#07, Tumor, scRNA-seq
- GSM8582564 PA#07, PBMC, scRNA-seq
- GSM8582565 PA#08, Tumor, scRNA-seq
- GSM8582566 PA#08, Normal, scRNA-seq
- GSM8582567 PA#08, PBMC, scRNA-seq
- GSM8582568 PA#09, Tumor, scRNA-seq
- GSM8582569 PA#09, Normal, scRNA-seq
- GSM8582570 PA#09, PBMC, scRNA-seq
- GSM8582571 PA#10, Tumor, scRNA-seq
- GSM8582572 PA#10, Normal, scRNA-seq
- GSM8582573 PA#10, PBMC, scRNA-seq
- GSM8582574 PA#11, Tumor, scRNA-seq
- GSM8582575 PA#11, PBMC, scRNA-seq
- GSM8582576 PA#12, Tumor, scRNA-seq
- GSM8582577 PA#12, PBMC, scRNA-seq
- GSM8582578 PA#13, Tumor, scRNA-seq
- GSM8582579 PA#13, PBMC, scRNA-seq
- GSM8582580 PA#14, Tumor, scRNA-seq
- GSM8582581 PA#14, PBMC, scRNA-seq
- GSM8582582 PA#15, PBMC, scRNA-seq
- GSE278694 Integrated Single-Cell and Spatial Transcriptomics Uncover Distinct Cellular Subtypes Involved in Neural Invasion in PDAC 88 samples shares pdac, single-cell, integrated, distinct, cellular, subtypes, involved
- GSE337246 Integrated single-cell profiling of RNA and DNA interactomes reveals targetable chromatin architectures in cancer [scRNA-Seq organoids] 35 samples shares single-cell, integrated, scrna-seq
- GSE294300 Single-cell gene expression profiles of cells from primary colorectal cancer and adjacent normal tissue [scRNA-Seq] 36 samples shares single-cell, scrna-seq
- GSE326201 Single-cell RNA sequencing of human hepatocellular carcinoma and adjacent non-tumour liver tissues reveals etiology-associated and etiology-independent tumour microenvironmental features 18 samples shares single-cell, cellular
- GSE342462 Integrated transcriptomic and bioelectrical profiling of stem-like cellular states in a colorectal cancer using SdFFF and UHF-DEP 12 samples shares integrated, cellular
- GSE253355 Mapping the Cellular Biogeography of Human Bone Marrow Niches Using Single-Cell Transcriptomics 12 samples shares single-cell, cellular
- GSE299340 Single-cell RNA sequencing reveals B cell-related immunosuppressive landscape and a potential suppressor in hepatocellular carcinoma 10 samples shares single-cell, cellular
- GSE337829 Integrated single-cell profiling of RNA and DNA interactomes reveals targetable chromatin architectures in cancer [ChIP-Seq] 32 samples shares single-cell, integrated
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.