LUAD tumor, normal adjacent and tumoroid bulk transcriptomics
RNA-seq (gene expression) · human · 8 samples
- What it is
- RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
- Organism
- Homo sapiens (human)
- Samples
- 8 samples: 3 × RNAseq of LUAD tumor biopsy vs 3 × RNAseq of LUAD adjacent-normal tissue biopsyGroups 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
- A tri-component organoid model reveals field-cancerized fibroblasts as key drivers of LUAD recurrence and drug resistanceMolecular therapy. Oncology · 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 GSE287471_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: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.
Also filed as BioProject PRJNA1213059 and SRA study SRP558494. Searching any of these in the dataset finder brings you back here.
Supports a case/control comparison: 5 samples read as cases, 3 as controls.
How we read this: 2 replicated groups read from 8 sample titles; they account for 6 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.
- GSM8746290 RNAseq of LUAD tumor biopsy 1 RNAseq of LUAD tumor bi…
- GSM8746291 RNAseq of LUAD tumor biopsy 2 RNAseq of LUAD tumor bi…
- GSM8746292 RNAseq of LUAD tumor biopsy 3 RNAseq of LUAD tumor bi…
- GSM8746293 RNAseq of LUAD adjacent-normal tissue biopsy 1 RNAseq of LUAD adjacent…
- GSM8746294 RNAseq of LUAD adjacent-normal tissue biopsy 2 RNAseq of LUAD adjacent…
- GSM8746295 RNAseq of LUAD adjacent-normal tissue biopsy 3 RNAseq of LUAD adjacent…
- GSM8746296 RNAseq of LUAD tumoroid
- GSM8746297 RNAseq of LUAD cancer-associated fibroblast
- GSE244679 Whole Transcriptome Profiling of Lesional Psoriatic and Adjacent Normal Skin Tissues 48 samples shares adjacent, normal
- GSE318780 Transcriptome analysis of breast tumour tissue and adjacent normal 40 samples shares adjacent, normal
- GSE294300 Single-cell gene expression profiles of cells from primary colorectal cancer and adjacent normal tissue [scRNA-Seq] 36 samples shares adjacent, normal
- GSE275626 Genomic characterization of normal and aberrant human milk production [bulkRNA-seq] 22 samples shares normal, bulk
- GSE315534 Single-cell RNA sequencing of primary colorectal cancer, matched adjacent normal tissues, and paired liver metastases 15 samples shares adjacent, normal
- GSE292858 RNA-Seq analysis of tumor and matched normal samples from colorectal cancer patients. 73 samples shares normal
- GSE202069 RNA-seq data for tumor and adjacent non-tumor tissues from hepatocellular carcinoma patients with anti-PD-1 therapy 66 samples shares adjacent
- GSE264503 Gene expression profile of clinical ESCC tumors, matched normal tissue and lymph node metastatic tissue by RNA-seq analysis 51 samples shares normal
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.