Modeling extrahepatic hepatitis E virus infection in induced human primary neurons
RNA-seq (gene expression) · human · 10 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
- 10 samples: 10 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
- Modeling extrahepatic hepatitis E virus infection in induced human primary neuronsProceedings of the National Academy of Sciences of the United States of America · 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 GSE275473_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 PRJNA1151015 and SRA study SRP528100. 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 10 sample titles: 10 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.
- GSM8478216 2d_iPNs, Mock, 48h
- GSM8478217 2d_iPNs, HEV, 48h
- GSM8478218 2d_iPNs, Mock, 5d
- GSM8478219 2d_iPNs, HEV, 5d
- GSM8478220 7d_iPNs, Mock, 5d
- GSM8478221 7d_iPNs, HEV, 5d
- GSM8478222 14d_iPNs, Mock, 5d
- GSM8478223 14d_iPNs, HEV, 5d
- GSM8478224 21d_iPNs, Mock, 5d
- GSM8478225 21d_iPNs, HEV, 5d
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- GSE289930 Proteogenomic Characterization of Primary Oral Cancer Unveils Extracellular Matrix Remodeling and Immunosuppressive Microenvironment Linked to Lymph Node Metastasis [RNA-seq] 33 samples shares modeling, primary
- GSE304352 Transcriptome analysis of liver tissue from patients with Autoimmune Hepatitis, Primary Biliary Cholangitis, and Chronic Hepatitis B 11 samples shares hepatitis, primary
- GSE314155 BRD9 Reads Lactate-Induced H3K18 Lactylation to Drive Oncogenic Chromatin Remodeling in Hepatocellular Carcinoma 17 samples shares modeling, induced
- GSE262419 Informing Hazard Identification and Risk Characterization of Environmental Chemicals by Combining Transcriptomic and Functional Data from Human Induced Pluripotent Stem Cell-Derived Cardiomyocytes 4558 samples shares induced
- GSE253910 PriOmics: integration of high_throughput proteomic data with complementary omics layers using mixed graphical modeling with group priors 360 samples shares modeling
- GSE287540 Transcriptomic and proteomic characterization of cell and protein biomarkers of checkpoint inhibitor-induced liver injury [bulk RNA-seq] 128 samples shares induced
- GSE328981 Quantum Molecular Resonance attenuates an oxidative stress-induced chimeric transcriptome program in human retinal pigment epithelial cells, preserving RNA structural fidelity 108 samples shares induced
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.