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Overcoming GNA/RNA Base-Pairing Limitations Using Isonucleotides Improves the Pharmacodynamic Activity of ESC+ GalNAc-siRNAs

GSE183164 Mus musculus (mouse) RNA-seq (gene expression) 104 samples Submitted 2021/09/24 Platform GPL19057
At a glance

RNA-seq (gene expression) · mouse · 104 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
104 samples
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.
Summary (written by the submitters)
We report the impact of two pairs of GNA nucleotides, the native GNA-C and -G compared with the isomeric GNA-isoC and -isoG, on the on- and off-target activity of chemically modified siRNAs in primary mouse hepatocytes by RNA sequencing. We found that both GNA-C and -isoC mitigate the suppression of off-targets in a similar fashion, however, GNA-isoG was less efficacious in the mitigation of off-targets as the native GNA-G. This study informs the further design of more potent and specific chemically modified siRNAs for potential application in RNAi therapeutics.
This dataset
Download · which file do I need?

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.

1 · Just have a look

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.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE183164_RAW.tar (it can run to tens of gigabytes).

3 · Start from the raw reads

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 PRJNA759423 and SRA study SRP335175. Searching any of these in the dataset finder brings you back here.

Samples in this study

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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.