Optimized RNA Interference Therapeutics Combined with Interleukin-2 mRNA for Treating Hepatitis B Virus Infection
RNA-seq (gene expression) · mouse · 21 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
- 21 samples: 7 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.
- Paper
- Optimized RNA interference therapeutics combined with interleukin-2 mRNA for treating hepatitis B virus infectionSignal transduction and targeted therapy · 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 GSE262515_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 PRJNA1092097 and SRA study SRP497943. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 21 samples.
How we read this: 7 replicated groups read from 21 sample titles; they account for 21 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.
- GSM8170783 HepG2-Mock, replicate1 HepG2-Mock,
- GSM8170784 HepG2-Mock, replicate2 HepG2-Mock,
- GSM8170785 HepG2-Mock, replicate3 HepG2-Mock,
- GSM8170786 HepG2-tLNP/siNC, replicate1 HepG2-tLNP/siNC,
- GSM8170787 HepG2-tLNP/siNC, replicate2 HepG2-tLNP/siNC,
- GSM8170788 HepG2-tLNP/siNC, replicate3 HepG2-tLNP/siNC,
- GSM8170789 HepG2-tLNP/siHBV, replicate1 HepG2-tLNP/siHBV,
- GSM8170790 HepG2-tLNP/siHBV, replicate2 HepG2-tLNP/siHBV,
- GSM8170791 HepG2-tLNP/siHBV, replicate3 HepG2-tLNP/siHBV,
- GSM8170792 mouse-PBS, replicate1 mouse-PBS,
- GSM8170793 mouse-PBS, replicate2 mouse-PBS,
- GSM8170794 mouse-PBS, replicate3 mouse-PBS,
- GSM8170795 mouse-siNC-1mg/kg, replicate1 mouse-siNC-1mg/kg,
- GSM8170796 mouse-siNC-1mg/kg, replicate2 mouse-siNC-1mg/kg,
- GSM8170797 mouse-siNC-1mg/kg, replicate3 mouse-siNC-1mg/kg,
- GSM8170798 mouse-siHBV-1mg/kg, replicate1 mouse-siHBV-1mg/kg,
- GSM8170799 mouse-siHBV-1mg/kg, replicate2 mouse-siHBV-1mg/kg,
- GSM8170800 mouse-siHBV-1mg/kg, replicate3 mouse-siHBV-1mg/kg,
- GSM8170801 mouse-siHBV-2.5mg/kg, replicate1 mouse-siHBV-2.5mg/kg,
- GSM8170802 mouse-siHBV-2.5mg/kg, replicate2 mouse-siHBV-2.5mg/kg,
- GSM8170803 mouse-siHBV-2.5mg/kg, replicate3 mouse-siHBV-2.5mg/kg,
- GSE296402 Interleukin-23 promotes a pro-inflammatory Th17 cell state by stabilizing RORγt and suppressing glucocorticoid receptor activity 66 samples shares interleukin-2
- GSE305217 Optimized ChIP-exo for mammalian cells and patterned sequencing flow cells 133 samples shares optimized
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.