NPC-derived exosome-mediated effects on macrophages
RNA-seq (gene expression) · human · 35 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
- 35 samples: 7 conditions, mostly with about 5 replicates eachGroups 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.
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 GSE282685_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 PRJNA1189792 and SRA study SRP547144. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 33 samples.
How we read this: 7 replicated groups read from 35 sample titles; they account for 33 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.
- GSM8648791 M0, rep1 M0,
- GSM8648792 M1, rep1 M1,
- GSM8648793 M2a, rep1 M2a,
- GSM8648794 M2c, rep1 M2c,
- GSM8648795 M2d, rep1 M2d,
- GSM8648796 EBV(+) exosome Tx, rep1 EBV(+) exosome Tx,
- GSM8648797 EBV(-) exosome Tx, rep1 EBV(-) exosome Tx,
- GSM8648798 M0, rep2 M0,
- GSM8648799 M1, rep2 M1,
- GSM8648800 M2a, rep2 M2a,
- GSM8648801 M2c, rep2 M2c,
- GSM8648802 M2d, rep2 M2d,
- GSM8648803 EBV(+) exosome Tx, rep2 EBV(+) exosome Tx,
- GSM8648804 EBV(-) exosome Tx, rep2 EBV(-) exosome Tx,
- GSM8648805 M0, rep3 M0,
- GSM8648806 M1, rep3 M1,
- GSM8648807 M2a, rep3 M2a,
- GSM8648808 M2c, rep3 M2c,
- GSM8648809 M2d, rep3 M2d,
- GSM8648810 EBV(+) exosome Tx, rep3 EBV(+) exosome Tx,
- GSM8648811 EBV(-) exosome Tx, rep3 EBV(-) exosome Tx,
- GSM8648812 M0, rep4 M0,
- GSM8648813 M1, rep4 M1,
- GSM8648814 M2a, rep4 M2a,
- GSM8648815 M2c, rep4 M2c,
- GSM8648816 M2d, rep4 M2d,
- GSM8648817 EpE, rep4
- GSM8648818 EnE, rep4
- GSM8648819 M0, rep5 M0,
- GSM8648820 M1, rep5 M1,
- GSM8648821 M2a, rep5 M2a,
- GSM8648822 M2c, rep5 M2c,
- GSM8648823 M2d, rep5 M2d,
- GSM8648824 EBV(+) exosome Tx, rep5 EBV(+) exosome Tx,
- GSM8648825 EBV(-) exosome Tx, rep5 EBV(-) exosome Tx,
- GSE263382 Exogenous and endogenous serine modulate polarization of tumor-associated macrophages to influence development of nasopharyngeal carcinoma 6 samples same disease briefing · shares macrophages
- GSE268996 Epstein-Barr virus BOLF1-containing extracellular vesicles promote nasopharyngeal carcinoma metastasis via SPP1+ macrophages 6 samples same disease briefing · shares macrophages
- GSE102349 Genomic Analysis of Nasopharyngeal Carcinoma Reveals TME-based Subtypes 113 samples same disease briefing
- GSE324767 RNA-Seq quantitative analysis of the regulatory effects of circRBM6 and circMLLT1 on nasopharyngeal carcinoma cell transcriptomes 8 samples same disease briefing
- GSE231572 Development and validation of a microbiota signature to predict prognosis in nasopharyngeal carcinoma 64 samples same disease briefing
- GSE277900 ZIKV infection series in paediaitric brain tumour and NPC cell lines 61 samples same disease briefing
- GSE120926 Single-cell RNA sequencing defines the interplay between tumor cells, virus and microenvironment in nasopharyngeal carcinoma 56 samples same disease briefing
- GSE290642 Selective targeting of endothelial and perivascular ROCK2 reverses liver fibrosis in pigs and human patients 36 samples same disease briefing
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.