Multi-omics based dynamic molecular changes characterization in EV-A71-infected mice elucidating potential therapeutic targets
RNA-seq (gene expression) · mouse · 20 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
- Mus musculus (mouse)
- Samples
- 20 samples: 5 conditions, mostly with about 4 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.
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 GSE252789_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 PRJNA1062704 and SRA study SRP482609. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 20 samples.
How we read this: 5 replicated groups read from 20 sample titles; they account for 20 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.
- GSM8007851 NC0_1 NC0
- GSM8007852 NC0_2 NC0
- GSM8007853 NC0_4 NC0
- GSM8007854 NC0_5 NC0
- GSM8007855 NC2_1 NC2
- GSM8007856 NC2_2 NC2
- GSM8007857 NC2_3 NC2
- GSM8007858 NC2_5 NC2
- GSM8007859 NC5_1 NC5
- GSM8007860 NC5_3 NC5
- GSM8007861 NC5_4 NC5
- GSM8007862 NC5_5 NC5
- GSM8007863 EV2_2 EV2
- GSM8007864 EV2_3 EV2
- GSM8007865 EV2_4 EV2
- GSM8007866 EV2_5 EV2
- GSM8007867 EV5_1 EV5
- GSM8007868 EV5_3 EV5
- GSM8007869 EV5_4 EV5
- GSM8007870 EV5_5 EV5
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- GSE298492 Macrophage-derived KIF13B acts as a potential therapeutic target in atherosclerosis by enhancing MERTK-mediated efferocytosis [RNA-Seq] 12 samples shares therapeutic, potential
- GSE320015 Establishing Sensory Neurons as Therapeutic Targets in Peripheral Neuropathy Driven by Polyglutamine Expanded ATXN3 12 samples shares therapeutic, targets
- GSE240036 Therapeutic potential of co-signaling receptor modulation in hepatitis B [scRNA-Seq] 10 samples shares therapeutic, potential
- GSE331460 Circadian screening of neutrophils identifies therapeutic targets in multiple sclerosis 8 samples shares therapeutic, targets
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.