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A Role for Small RNAs in DNA Double-Strand Break Repair

GSE36338 Arabidopsis thaliana; Homo sapiens Non-coding RNA profiling 33 samples Submitted 2012/03/27 Platform GPL9062Platform GPL11221Platform GPL10999
At a glance

Non-coding RNA profiling · Arabidopsis thaliana; Homo sapiens · 33 samples

What it is
Non-coding RNA profilingLevels of RNAs that do not code for proteins, such as miRNA or lncRNA.
Organism
Arabidopsis thaliana; Homo sapiens
Samples
33 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)
Here we identify a novel class of small RNAs that are ~21-nucleotide in length and are produced from the sequences in the vicinity of DNA double strand break (DSB) sites in Arabidopsis and humans. We named them diRNAs for DSB-induced small RNAs. In Arabidopsis, the biogenesis of diRNAs requires the PI3 kinase ATR, RNA polymerase IV (Pol IV), and Dicer-like proteins.
Read the full summary ↓
Mutations in these proteins as well as in Pol V cause significant reduction in DSB repair efficiency. diRNAs are recruited by Argonaute 2 (AGO2) to mediate DSB repair. In humans, knocking down Dicer or Ago2 causes a significant reduction in DSB repair. Our findings reveal a novel biological function for small RNAs in the DSB repair pathway. We propose that diRNAs may function as guide molecules for chromatin modifications or recruitment of repair complexes at DSB sites to facilitate repair.
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 GSE36338_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.

Also filed as BioProject PRJNA153297 and SRA study SRP011369. Searching any of these in the dataset finder brings you back here.

Samples in this study

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