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  • RNA editing

    I am trying to see if I can find possible RNA editing at genome level. Is there a reference protocol how to prepare sample for sequencing. Can I just follow the protocol of RNA- seq?
    How much coverage may be optimal? Finally is there any tool available which can help me to analyze the aligned data. I know I can use Sam tool but looking for any commercial software.

    Thanks for your help

  • #2
    Hi,
    This is interesting. Beyond RNA editing events you may also find some of these controversial RNA-DNA Differences.

    I would use the GATK SNP calling module (or SAMtools) on RNA-seq data. Ideally on Re-seq data too -from the same sample- and compare.
    Coverage is a tricky point because it will depend on gene expression levels. Also, I am not sure about how well would the standard SNP calling methods work on RNA-seq data.

    Any idea? Has anyone tried this already?

    Comment


    • #3
      Anyone interested in RNA editing and RNA/DNA differences should definitely take a look at this paper:
      RNA editing is an important cellular process by which the nucleotides in a mature RNA transcript are altered to cause them to differ from the corresponding DNA sequence. While this process yields essential transcripts in humans and other organisms, it is believed to occur at a relatively small number of loci. The rarity of RNA editing has been challenged by a recent comparison of human RNA and DNA sequence data from 27 individuals, which revealed that over 10,000 human exonic sites appear to exhibit RNA-DNA differences (RDDs). Many of these differences could not have been caused by either of the two previously known human RNA editing mechanisms—ADAR-mediated A→G substitutions or APOBEC1-mediated C→U switches—suggesting that a previously unknown mechanism of RNA editing may be active in humans. Here, we reanalyze these data and demonstrate that genomic sequences exist in these same individuals or in the human genome that match the majority of RDDs. Our results suggest that the majority of these RDD events were observed due to accurate transcription of sequences paralogous to the apparently edited gene but differing at the edited site. In light of our results it seems prudent to conclude that if indeed an unknown mechanism is causing RDD events in humans, such events occur at a much lower frequency than originally proposed.

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      • #4
        Any experience with RNA editing

        I agree this is a controversial issue but I think it may be worth pursuing any expert in this area please?

        Comment


        • #5
          Let me continue with this post,

          I'm looking for RNA editing on a non model organism (i have a 454 ref assembly and RNA-seq experiment). I found this wonderful app: ExpEdit (http://t.caspur.it/ExpEdit/), but unfortunately it's only valid for human genome. So right now, I'm with my pileup file trying to figure out how to trim and find the points where potential RNA editing is taking place.

          Any ideas / pipeline how to get this, or maybe another program that allows you to include your reference sequence.

          Thanks

          Comment


          • #6
            What alignment software are you using? Are you guys running a indel realignment step before variant calling? What I see with mpileup is that samtools misses some of the reads(I believe, those spanning exons). Im also not certain if GATK can deal wide variance in coverage of RNA data.

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            • #7
              Here is a list of interesting papers/posts on RNA-Editing that may be worth reading and considering, especially for careful methodologies to find editing.









              RNA editing is a process that modifies RNA nucleotides and changes the efficiency and fidelity of the central dogma. Enzymes that catalyze RNA editing are required for life, and defects in RNA editing are associated with many diseases. Recent advances in sequencing have enabled the genome-wide identification of RNA editing sites in mammalian transcriptomes. Here, we demonstrate that canonical RNA editing (A-to-I and C-to-U) occurs in liver, white adipose, and bone tissues of the laboratory mouse, and we show that apparent non-canonical editing (all other possible base substitutions) is an artifact of current high-throughput sequencing technology. Further, we report that high-confidence canonical RNA editing sites can cause non-synonymous amino acid changes and are significantly enriched in 3′ UTRs, specifically at microRNA target sites, suggesting both regulatory and functional consequences for RNA editing.




              Last edited by rnaseek; 05-17-2012, 01:36 PM.

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