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Sequencing-Guided Design of Genetically Encoded Small RNAs Targeting CAG Repeats for Selective Inhibition of Mutant Huntingtin [II]

GSE264218 Homo sapiens (human) RNA-seq (gene expression) 18 samples Submitted 2024/05/01 Platform GPL26167
At a glance

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
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
Sequencing-guided design of genetically encoded small RNAs targeting CAG repeats for selective inhibition of mutant huntingtinMolecular therapy. Nucleic acids · 2024
Summary (written by the submitters)
Huntington’s disease (HD) is an incurable neurodegenerative disorder caused by genetic expansion of a CAG repeat sequence in one allele of the huntingtin (HTT) gene. Reducing expression of the mutant HTT (mutHTT) protein has remained a clear therapeutic goal but reduction of wild-type HTT (wtHTT) is undesirable as it compromises gene function and potential therapeutic efficacy.
Read the full summary ↓
One promising allele- selective approach involves targeting the CAG repeat expansion with steric binding small RNAs bearing central mismatches. However, successful genetic encoding requires consistent placement of mismatches to the target within the small RNA guide sequence, which involves 5' processing precision by cellular enzymes. Here, we used small RNA sequencing to monitor processing precision of a limited set of CAG repeat- targeted small RNAs expressed from multiple scaffold contexts. Small RNA sequencing identified expression constructs with high guide strand 5' processing precision that also conferred promising allele-selective inhibition of mutHTT. However, mRNA-seq revealed varying degrees of transcriptome-wide off-target effects, including certain CAG repeat-containing mRNAs. These results support the continued investigation and optimization of genetically encoded repeat-targeted small RNAs for allele-selective HD gene therapy and underscore the value of sequencing methods to balance specificity with allele selectivity during the design and selection process.
Published in
Sequencing-guided design of genetically encoded small RNAs targeting CAG repeats for selective inhibition of mutant huntingtin
Parasrampuria MA, White AA, Chilamkurthy R et al. · Molecular therapy. Nucleic acids 2024 · PMID 38803421 · doi:10.1016/j.omtn.2024.102206
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 GSE264218_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 PRJNA1101493 and SRA study SRP502395. Searching any of these in the dataset finder brings you back here.

Samples in this study

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