Gene expression profile of clinical ESCC tumors, matched normal tissue and lymph node metastatic tissue by RNA-seq analysis
RNA-seq (gene expression) · human · 51 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
- 51 samples: 51 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
- 2-Hydroxyisobutyrylation and Phosphorylation Crosstalk Guides Metastasis Prediction and Immunotherapy in Esophageal Squamous Cell CarcinomaMedComm · 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 GSE264503_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 PRJNA1102866 and SRA study SRP503145. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 51 sample titles: 51 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.
- GSM8219071 B1N
- GSM8219072 B2N
- GSM8219073 B3N
- GSM8219074 B4N
- GSM8219075 B5N
- GSM8219076 B6N
- GSM8219077 B7N
- GSM8219078 B8N
- GSM8219079 B9N
- GSM8219080 B10N
- GSM8219081 B12N
- GSM8219082 B13N
- GSM8219083 B14N
- GSM8219084 B15N
- GSM8219085 B16N
- GSM8219086 B17N
- GSM8219087 B18N
- GSM8219088 B1T
- GSM8219089 B2T
- GSM8219090 B3T
- GSM8219091 B4T
- GSM8219092 B5T
- GSM8219093 B6T
- GSM8219094 B7T
- GSM8219095 B8T
- GSM8219096 B9T
- GSM8219097 B10T
- GSM8219098 B12T
- GSM8219099 B13T
- GSM8219100 B14T
- GSM8219101 B15T
- GSM8219102 B16T
- GSM8219103 B17T
- GSM8219104 B18T
- GSM8219105 B1LN
- GSM8219106 B2LN
- GSM8219107 B3LN
- GSM8219108 B4LN
- GSM8219109 B5LN
- GSM8219110 B6LN
+ 11 more — browse all 51 samples with per-sample file links →
- GSE286234 Bulk RNA-seq profiling of human head and neck squamous cell carcinoma (HNSCC) with primary tumors and metastatic lymph nodes 10 samples shares metastatic, rna-seq, lymph, node
- GSE292858 RNA-Seq analysis of tumor and matched normal samples from colorectal cancer patients. 73 samples shares matched, rna-seq, normal
- GSE322620 Single-cell transcriptomic profiling of primary oral squamous cell carcinoma and lymph node metastatic lesions 10 samples shares metastatic, lymph, node
- GSE316782 Multimodal single-cell and spatial profiling reveals altered T cell-mediated immunity and B-cell follicular architecture in non-metastatic lymph nodes of patients with aggressive non-small cell lung cancer 18 samples shares metastatic, lymph, node
- GSE49711 RNA-Seq reveals an unprecedented complexity of the neuroblastoma transcriptome and is suitable for clinical endpoint prediction [RNA-Seq] 498 samples shares clinical, rna-seq
- 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, rna-seq
- GSE293952 Hypoxia shapes both therapeutic response and resistance in metastatic clear cell renal cell carcinoma [bulk RNA-seq] 61 samples shares metastatic, rna-seq
- GSE309941 Immunometabolic Endotypes Define Distinct Clinical Trajectories in Type 2 Diabetes [bulk RNA-seq] 42 samples shares clinical, rna-seq
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.