Andes virus mRNA vaccines: comparison of unmodified and modified mRNA platforms [scRNA-seq]
Single-cell RNA-seq · mouse · 16 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
- Organism
- Mus musculus (mouse)
- Samples
- 16 samples: 16 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
- Comparison of uridine and N1-methylpseudouridine mRNA platforms in development of an Andes virus vaccineNature communications · 2024
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 GSE240062_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 PRJNA1002186 and SRA study SRP453340. 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 16 sample titles: 16 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.
- GSM7680764 Positive control, biol replicate 1, scRNA-seq
- GSM7680765 Positive control, biol replicate 2, scRNA-seq
- GSM7680766 Positive control, biol replicate 3, scRNA-seq
- GSM7680767 Positive control, biol replicate 4, scRNA-seq
- GSM7680768 Pseudouridine vaccine, biol replicate 1, scRNA-seq
- GSM7680769 Pseudouridine vaccine, biol replicate 2, scRNA-seq
- GSM7680770 Pseudouridine vaccine, biol replicate 3, scRNA-seq
- GSM7680771 Pseudouridine vaccine, biol replicate 4, scRNA-seq
- GSM7680772 Uridine vaccine, biol replicate 1, scRNA-seq
- GSM7680773 Uridine vaccine biol replicate 2, scRNA-seq
- GSM7680774 Uridine vaccine, biol replicate 3, scRNA-seq
- GSM7680775 Uridine vaccine, biol replicate 4, scRNA-seq
- GSM7680776 Negative control, biol replicate 1, scRNA-seq
- GSM7680777 Negative control, biol replicate 2, scRNA-seq
- GSM7680778 Negative control, biol replicate 3, scRNA-seq
- GSM7680779 Negative control, biol replicate 4, scRNA-seq
- GSE300299 Chikungunya virus persists in joint-associated macrophages and promotes chronic disease in mice [scRNA-seq] 12 samples shares scrna-seq, virus
- GSE241770 ACSS2 mediates an epigenetic pathway to regulate maternal Beta-cell adaptation and progression of gestational diabetes (scRNA-Seq) 7899 samples shares scrna-seq
- GSE264105 Plate-based scRNA-seq of plasma-positive microglia and plasma-negative microglia in young mice 1111 samples shares scrna-seq
- GSE271100 Stem cells tightly regulate dead cell clearance to maintain tissue fitness [scRNA-seq] 1037 samples shares scrna-seq
- GSE326100 scRNA-seq of mouse cochlea organoid cells 768 samples shares scrna-seq
- GSE265909 yHSC and oHSC scRNAseq with oHSC AThi ATlo Index Sorting. Assessing the transcriptional changes associated with autophagy engagement in old hematopoietic stem cells at single cell resolution. [scRNA-Seq] 563 samples shares scrna-seq
- GSE222745 Enhanced activities of OCT4 and SOX2 facilitates epigenetic reprogramming by modulating cell cycle [scRNA-Seq] 422 samples shares scrna-seq
- GSE217662 Decoding Trp53 regulatory program with knockout cell transcriptomic landscape analyses [scRNA-seq] 247 samples shares scrna-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.