Genomic Analysis of Nasopharyngeal Carcinoma Reveals TME-based Subtypes
RNA-seq (gene expression) · human · 113 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)
- Topic
- Nasopharyngeal carcinomaThis series is part of our curated briefing on it.
- Samples
- 113 samples
- 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.
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 GSE102349_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 PRJNA397538 and SRA study SRP115011. Searching any of these in the dataset finder brings you back here.
The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.
+ 113 more — browse all 113 samples with per-sample file links →
- GSE150430 Single-cell transcriptomics reveals regulators underlying immune cell diversity and immune subtypes associated with prognosis in nasopharyngeal carcinoma 16 samples same disease briefing · shares nasopharyngeal, subtypes
- GSE295454 Large-scale and high-resolution mass spectrometry-based proteomics profiling defines molecular subtypes of nasopharyngeal carcinoma for therapeutic targeting 6 samples same disease briefing · shares nasopharyngeal, subtypes
- GSE324767 RNA-Seq quantitative analysis of the regulatory effects of circRBM6 and circMLLT1 on nasopharyngeal carcinoma cell transcriptomes 8 samples same disease briefing · shares nasopharyngeal
- GSE231572 Development and validation of a microbiota signature to predict prognosis in nasopharyngeal carcinoma 64 samples same disease briefing · shares nasopharyngeal
- GSE120926 Single-cell RNA sequencing defines the interplay between tumor cells, virus and microenvironment in nasopharyngeal carcinoma 56 samples same disease briefing · shares nasopharyngeal
- GSE305669 Reduced expression of UPF1 promotes tumor progression through stabilizing COX-2 mRNA in nasopharyngeal carcinoma 12 samples same disease briefing · shares nasopharyngeal
- GSE231689 Bulk-RNA and single-cell RNA sequencing of Nasopharyngeal Carcinoma Cell lines infected with Epstein-Barr virus (EBV) subjected to air-liquid interface (ALI)-induced reactivation 10 samples same disease briefing · shares nasopharyngeal
- GSE266679 Characterizing resistant cellular states in nasopharyngeal carcinoma during EBV lytic induction 10 samples same disease briefing · shares nasopharyngeal
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.