Characterizing resistant cellular states in nasopharyngeal carcinoma during EBV lytic induction
Single-cell RNA-seq · human · 10 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
- Organism
- Homo sapiens (human)
- Topic
- Nasopharyngeal carcinomaThis series is part of our curated briefing on it.
- Samples
- 10 samples: 10 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
- Characterizing resistant cellular states in nasopharyngeal carcinoma during EBV lytic inductionOncogene · 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 GSE266679_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 PRJNA1108257 and SRA study SRP505924. 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 10 sample titles: 10 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.
- GSM8253713 Untreated, replicate 1, scRNA-seq
- GSM8253714 Untreated, replicate 2, scRNA-seq
- GSM8253715 Treated 24hr replicate 1, scRNA-seq
- GSM8253716 Treated 48hr replicate 1, scRNA-seq
- GSM8253717 Treated 48hr replicate 2, scRNA-seq
- GSM8684015 C6661, Untreated, replicate 1, scRNA-seq
- GSM8684016 C6661, Untreated, replicate 2, scRNA-seq
- GSM8684017 C6661, Treated 24hr replicate 1, scRNA-seq
- GSM8684018 C6661, Treated 48hr replicate 1, scRNA-seq
- GSM8684019 C6661, Treated 48hr replicate 2, scRNA-seq
- GSE319577 Single-Cell Profiling of HDAC Inhibitor-Induced EBV Lytic Heterogeneity Defines Abortive and Refractory States in B Lymphoblasts 2 samples same disease briefing · shares ebv, states, lytic
- 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 ebv, nasopharyngeal
- GSE231687 Bulk-RNA Sequencing of Nasopharyngeal Carcinoma Cell Lines infected with Epstein-Barr virus (EBV) subjected to air-liquid interface (ALI)-induced reactivation 6 samples same disease briefing · shares ebv, nasopharyngeal
- GSE231688 Single cell RNA sequencing of Nasopharyngeal Carcinoma Cell lines infected with Epstein-Barr virus (EBV) subjected to air-liquid interface (ALI)-induced reactivation 4 samples same disease briefing · shares ebv, nasopharyngeal
- GSE286373 Transcriptional differences in nasopharyngeal carcinoma cell lines induced to reactivate EBV lysis 2 samples same disease briefing · shares ebv, nasopharyngeal
- GSE271486 Construction of a Transferable NGS Algorithmic Model for Predicting EBV-Associated Nasopharyngeal Cancer and High-risk Mutation 6 samples same disease briefing · shares ebv, nasopharyngeal
- GSE268996 Epstein-Barr virus BOLF1-containing extracellular vesicles promote nasopharyngeal carcinoma metastasis via SPP1+ macrophages 6 samples same disease briefing · shares nasopharyngeal, cellular
- GSE162025 Tumour Heterogeneity and Intercellular Networks of Nasopharyngeal Carcinoma at Single Cell Resolution 40 samples same disease briefing · shares nasopharyngeal, cellular
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.