RNA seq analysis comparing uninfected to MCPyV-infected 2D monolayer or 3D spheroids
RNA-seq (gene expression) · human · 12 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
- 12 samples: 3 × EV 2D vs 3 × MCPyV 2D vs 3 × EV 3D vs 3 × MCPyV 3DGroups 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
- Merkel cell polyomavirus exploits extracellular vesicles for skin infection and host immune evasion through activated Wnt signalingPLoS pathogens · 2026
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 GSE311065_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 PRJNA1368622 and SRA study SRP648126. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 12 samples.
How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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.
- GSM9316368 EV 2D 1 EV 2D
- GSM9316369 EV 2D 2 EV 2D
- GSM9316370 EV 2D 3 EV 2D
- GSM9316371 MCPyV 2D 1 MCPyV 2D
- GSM9316372 MCPyV 2D 2 MCPyV 2D
- GSM9316373 MCPyV 2D 3 MCPyV 2D
- GSM9316374 EV 3D 1 EV 3D
- GSM9316375 EV 3D 2 EV 3D
- GSM9316376 EV 3D 3 EV 3D
- GSM9316377 MCPyV 3D 1 MCPyV 3D
- GSM9316378 MCPyV 3D 2 MCPyV 3D
- GSM9316379 MCPyV 3D 3 MCPyV 3D
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- GSE172232 Comparing gene expression across primary human airway models for cystic fibrosis precision medicine 71 samples shares comparing
- GSE213301 Monolayer cells transcriptome of human embryonic stem cell differentiation 48 samples shares monolayer
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- GSE189188 Comparing PBMCs from patients with different pruritic conditions 40 samples shares comparing
- GSE296345 Paired-end RNA Sequencing on primary human umbilical endothelial cells (HUVEC) exposed to uninfected or bacterially-infected PMA-differentiated macrophage-like U937 for 8 or 24 h 24 samples shares uninfected
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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.