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Cas13bt3 knockdown of VEGFA mRNA in retinal organoid [scRNA-Seq]

GSE259219 Homo sapiens (human) Single-cell RNA-seq 3 samples Submitted 2024/03/01 Platform GPL24676
At a glance

Single-cell RNA-seq · human · 3 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
Organism
Homo sapiens (human)
Samples
3 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)
Purpose: We report expression of a new Cas13 enzyme in retinal cells and evaluate its efficacy in targeting the VEGFA mRNA to establish safety and efficacy of the enzyme got anti-VEGFA therapy. Methods: Three retinal organoids were cultured and treated, (1) Untreated, (2) AAV2.7m8.Cas13bt3.VEGFA.sgRNA, (3) AAV2.7m8.Cas13bt3.NTsgRNA. Single-cell RNA sequencing was performed to determine expression of Cas13bt3 across retinal cell types, and the corresponding VEGFA mRNA expression.
Read the full summary ↓
Results: All retinal cell showed observable transduction and RPE cells were found most susceptible to infection, while bipolar cells had the least infection rate. Significant silencing of VEGFA was observed in RPE cells. Conclusions: AAV2.7m8 can be used for retina-wide transduction, and Cas13bt3 may be a potential new tool for control of VEGFA.
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 GSE259219_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.

Also filed as BioProject PRJNA1077071 and SRA study SRP491550. Searching any of these in the dataset finder brings you back here.

Samples in this study

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