Culturomics reveals Fusobacterium-Prevotella mutualism as a hallmark of nasopharyngeal tumor microbiota [Tissue RNA-seq]
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: 35 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.
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 GSE320342_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 PRJNA1427628 and SRA study SRP679000. 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 35 sample titles: 35 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.
- GSM9541169 RNAseq of CUL_1R
- GSM9541170 RNAseq of CUL_2R
- GSM9541171 RNAseq of CUL_3R
- GSM9541172 RNAseq of CUL_4R
- GSM9541173 RNAseq of CUL_5R
- GSM9541174 RNAseq of CUL_6R
- GSM9541175 RNAseq of CUL_7R
- GSM9541176 RNAseq of CUL_8R
- GSM9541177 RNAseq of CUL_9R
- GSM9541178 RNAseq of CUL_10R
- GSM9541179 RNAseq of CUL_11R
- GSM9541180 RNAseq of CUL_12R
- GSM9541181 RNAseq of CUL_13R
- GSM9541182 RNAseq of CUL_14R
- GSM9541183 RNAseq of CUL_15R
- GSM9541184 RNAseq of CUL_16R
- GSM9541185 RNAseq of CUL_17R
- GSM9541186 RNAseq of CUL_18R
- GSM9541187 RNAseq of CUL_19R
- GSM9541188 RNAseq of CUL_20R
- GSM9541189 RNAseq of CUL_21R
- GSM9541190 RNAseq of CUL_22R
- GSM9541191 RNAseq of CUL_23R
- GSM9541192 RNAseq of CUL_24R
- GSM9541193 RNAseq of CUL_25R
- GSM9541194 RNAseq of CUL_26R
- GSM9541195 RNAseq of CUL_27R
- GSM9541196 RNAseq of CUL_28R
- GSM9541197 RNAseq of CUL_29R
- GSM9541198 RNAseq of CUL_30R
- GSM9541199 RNAseq of CUL_31R
- GSM9541200 RNAseq of CUL_32R
- GSM9541201 RNAseq of CUL_33R
- GSM9541202 RNAseq of CUL_34R
- GSM9541203 RNAseq of CUL_35R
- GSE320343 Culturomics reveals Fusobacterium-Prevotella mutualism as a hallmark of nasopharyngeal tumor microbiota [Cell RNA-seq] 12 samples same disease briefing · shares fusobacterium-prevotella, nasopharyngeal, culturomics, microbiota, mutualism, hallmark, rna-seq
- GSE236418 LINC01770 mediates nasopharyngeal cancer radiation resistance and renders tumor cell vulnerable to ferroptosis [RNA-seq] 6 samples same disease briefing · shares nasopharyngeal, rna-seq
- GSE231572 Development and validation of a microbiota signature to predict prognosis in nasopharyngeal carcinoma 64 samples same disease briefing · shares nasopharyngeal, microbiota
- 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, rna-seq
- GSE234440 mRNA expression profiling of nasopharyngeal carcinoma cell line HONE1 upon ARNTL2 knockdown [RNA-seq] 6 samples same disease briefing · shares nasopharyngeal, rna-seq
- GSE302204 RNA-seq of Human nasopharyngeal carcinoma cells in BALF2-LR and BALF2-HR overexpress group 6 samples same disease briefing · shares nasopharyngeal, rna-seq
- GSE319431 RNA-seq of Human nasopharyngeal carcinoma cells in BALF2-LR and BALF2-HR overexpress group 6 samples same disease briefing · shares nasopharyngeal, rna-seq
- GSE334187 RNA-seq profiling of FBXO8 knockdown in HONE-1 nasopharyngeal carcinoma cells 6 samples same disease briefing · shares nasopharyngeal, 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.