RSAD2/VIPERIN and CMPK2 Coordinate an Immunometabolic Response to Epstein-Barr Virus
RNA-seq (gene expression) · human · 18 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
- 18 samples: 6 conditions, mostly in triplicateGroups 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 GSE319301_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 PRJNA1422798 and SRA study SRP676588. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 18 samples.
How we read this: 6 replicated groups read from 18 sample titles; they account for 18 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.
- GSM9515041 shControl, Uninduced, Replicate 1 shControl, Uninduced,
- GSM9515042 shControl, Uninduced, Replicate 2 shControl, Uninduced,
- GSM9515043 shControl, Uninduced, Replicate 3 shControl, Uninduced,
- GSM9515044 shRSAD2, Uninduced, Replicate 1 shRSAD2, Uninduced,
- GSM9515045 shRSAD2, Uninduced, Replicate 2 shRSAD2, Uninduced,
- GSM9515046 shRSAD2, Uninduced, Replicate 3 shRSAD2, Uninduced,
- GSM9515047 shCMPK2, Uninduced, Replicate 1 shCMPK2, Uninduced,
- GSM9515048 shCMPK2, Uninduced, Replicate 2 shCMPK2, Uninduced,
- GSM9515049 shCMPK2, Uninduced, Replicate 3 shCMPK2, Uninduced,
- GSM9515050 shControl, Induced, Replicate 1 shControl, Induced,
- GSM9515051 shControl, Induced, Replicate 2 shControl, Induced,
- GSM9515052 shControl, Induced, Replicate 3 shControl, Induced,
- GSM9515053 shRSAD2, Induced, Replicate 1 shRSAD2, Induced,
- GSM9515054 shRSAD2, Induced, Replicate 2 shRSAD2, Induced,
- GSM9515055 shRSAD2, Induced, Replicate 3 shRSAD2, Induced,
- GSM9515056 shCMPK2, Induced, Replicate 1 shCMPK2, Induced,
- GSM9515057 shCMPK2, Induced, Replicate 2 shCMPK2, Induced,
- GSM9515058 shCMPK2, Induced, Replicate 3 shCMPK2, Induced,
- GSE275935 HIV-induced RSAD2/Viperin supports sustained infection of monocyte-derived macrophages 21 samples shares viperin, rsad2
- GSE253073 HIV Induces RSAD2/Viperin To Promote Sustained Infection of Monocyte-Derived Macrophages 9 samples shares viperin, rsad2
- GSE335001 Human iPSC-Based Alveolus-on-Chip Reveals Immunometabolic Regulation of Influenza A Virus Infection by Butyrate 6 samples shares immunometabolic, virus
- GSE331078 CMPK2 restricts Mycobacterium tuberculosis replication and regulates macrophage gene expression 18 samples shares cmpk2
- GSE298663 Immunometabolic determinants of long-term response in leukemia patients receiving CD19 CAR T cell therapy 12 samples shares immunometabolic
- GSE309967 Immunometabolic Endotypes Define Distinct Clinical Trajectories in Type 2 Diabetes 48 samples shares immunometabolic
- GSE309941 Immunometabolic Endotypes Define Distinct Clinical Trajectories in Type 2 Diabetes [bulk RNA-seq] 42 samples shares immunometabolic
- GSE289672 Single-Cell Transcriptomics Reveal Distinct Biological and Immunometabolic Landscapes in Renal Medullary Carcinoma Compared to Clear Cell Renal Cell Carcinoma 10 samples shares immunometabolic
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.