Investigating cellular transcriptomic alterations caused by VEEV replicase and SARS-CoV-2 mRNA co-transfection
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: 12 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
- Trans amplifying mRNA vaccine expressing consensus spike elicits broad neutralization of SARS CoV 2 variantsNPJ vaccines · 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 GSE277947_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 PRJNA1164791 and SRA study SRP534514. 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 12 sample titles: 12 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.
- GSM8535069 RS4A, Treatment
- GSM8535070 RS4B, Treatment
- GSM8535071 RS4C, Treatment
- GSM8535072 RS12A, Treatment
- GSM8535073 RS12B, Treatment
- GSM8535074 RS12C, Treatment
- GSM8535075 XS4A, Control
- GSM8535076 XS4B, Control
- GSM8535077 XS4C, Control
- GSM8535078 XS12A, Control
- GSM8535079 XS12B, Control
- GSM8535080 XS12C, Control
- GSE271378 Exploring host cellular responses to SARS-CoV-2 variants using RNA sequencing of infected human airway epithelial cells 44 samples shares sars-cov-2, cellular
- GSE276544 MVA-based SARS-CoV-2 vaccine candidates encoding different spike protein conformations induce distinct early transcriptional responses which may impact subsequent adaptive immunity 305 samples shares sars-cov-2
- GSE325454 Mitochondrial OXPHOS restricts SARS-CoV-2 replication 148 samples shares sars-cov-2
- GSE288346 Multi-Omics Analysis of the Immunological State at Baseline and Following SARS-CoV-2 mRNA Vaccination in Lung Transplant Recipients [RNA-seq] 106 samples shares sars-cov-2
- GSE240766 SARS-CoV-2 infection of human pluripotent stem cell-derived vascular cells reveals smooth muscle cells as key mediators of vascular pathology during infection 101 samples shares sars-cov-2
- GSE265975 Transcriptomic analysis after SARS-CoV-2 mRNA vaccination reveals a specific gene signature in low-responder hemodialysis patients 100 samples shares sars-cov-2
- GSE297329 Evolution of SARS-CoV-2 T cell responses as a function of multiple COVID-19 boosters 98 samples shares sars-cov-2
- GSE250025 Impaired innate and adaptive immune responses to BNT162b2 SARS-CoV-2 vaccination in systemic lupus erythematosus 84 samples shares sars-cov-2
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.