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Brain-wide AAV-mediated silencing of prion protein by a compact epigenetic editor

GSE255987 Mus musculus (mouse) RNA-seq (gene expression) 15 samples Submitted 2024/05/03 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 15 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
15 samples: 5 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
Brainwide silencing of prion protein by AAV-mediated delivery of an engineered compact epigenetic editorScience (New York, N.Y.) · 2024
Summary (written by the submitters)
Prion disease is caused by misfolding of the prion protein (PrP) into pathogenic self-propagating conformations, leading to rapid onset dementia and death. However, elimination of endogenous PrP can halt prion disease progression. Here, we describe CHARM, a compact, enzyme-free epigenetic editor capable of silencing transcription through programmable targeted DNA methylation.
Read the full summary ↓
Using a histone H3 tail-Dnmt3l fusion, CHARM recruits and activates the endogenous DNA methyltransferases, thereby reducing transgene size and bystander effects. When delivered to the mouse brain by an adeno-associated viral (AAV) vector, PRNP-targeted CHARM ablates PrP expression across the brain. We temporally limit editor expression by implementing a kinetically-tuned self-silencing approach. CHARM represents a broadly applicable strategy to programmably prevent expression of pathogenic proteins, including those implicated in other neurodegenerative diseases.
Published in
Brainwide silencing of prion protein by AAV-mediated delivery of an engineered compact epigenetic editor
Neumann EN, Bertozzi TM, Wu E et al. · Science (New York, N.Y.) 2024 · PMID 38935715 · doi:10.1126/science.ado7082
This dataset
Open GSE255987 in finder → Find more mouse RNA-seq datasets →
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.

Series matrix ↓
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 GSE255987_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
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.

Raw reads on ENA ↗

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 PRJNA1077350 and SRA study SRP490056. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 38935715) ↗
Study design
5 conditions, mostly in triplicate
Empty_vector ×3 ZFcharm_Kv1 ×3 Empty_vector_Prnp-targeting_sgRNA ×3 CRISPRcharm_Prnp-targeting_sgRNA ×3 CRISPRcharm_non-targeting_sgRNA ×3

Supports a between-group comparison across 15 samples.

How we read this: 5 replicated groups read from 15 sample titles; they account for 15 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.

Samples in this study
Datasets on a similar topic

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