Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • sisch
    Member
    • Jun 2011
    • 29

    #1

    Implications from comparing cDNA to cds mapping

    Hey there,

    I've had an RNA Seq experiment on the 454 platform and during data analysis I came to wonder:

    I mapped my reads (non-model organism) to a closely related genome using cDNA and coding sequences(cds). The fraction of mappable reads is 0.4 in cds and 0.6 in cDNA. So now I'm wondering whether this does infer that the 20% reads that mapped to cdna but not to cds are non-mRNA fragments (contamination of some sorts) or whether this implication is wrong

    I feel like I'm overlooking something when I draw this conclusion but I can't point the finger to it.

    Best,
    Simon
    Last edited by sisch; 07-13-2011, 07:50 AM. Reason: adding 'solved'-tag
  • husamia
    Member
    • Apr 2010
    • 66

    #2
    what you mean by cDNA?

    Comment

    • Jeremy37
      Member
      • Feb 2011
      • 17

      #3
      I haven't dealt with RNA Seq data before... but isn't the difference just the non-coding portions of the mRNAs? I.e. 5' and 3' UTRs.

      Mapping to coding sequences only would not include UTRs, whereas cDNA would.

      Comment

      • sisch
        Member
        • Jun 2011
        • 29

        #4
        It's just as Jeremy37 says. cDNA contains in addition to the coding parts also the UTRs.

        Maybe there's just a huge bias towards UTRs when doing 454 sequencing.
        For now i will be checking this phenomenon on different datasets.

        Comment

        • Eric Fournier
          Member
          • Jul 2011
          • 21

          #5
          Originally posted by sisch View Post
          It's just as Jeremy37 says. cDNA contains in addition to the coding parts also the UTRs.

          Maybe there's just a huge bias towards UTRs when doing 454 sequencing.
          For now i will be checking this phenomenon on different datasets.
          A bias toward UTRs might arise from the protocol used to prepare your samples. For example, if you amplified your material using oligo-dT primers, you'll have a bias toward the 3'UTRs.

          Comment

          • Jeremy37
            Member
            • Feb 2011
            • 17

            #6
            Sisch, I still don't understand the problem. Why do you think it's wrong that a 0.4 fraction of reads maps to CDS and 0.6 maps to cDNA? You don't think the UTRs could be that long?

            I don't know what the average is, but some UTRs are very long. You could calculate the expected fraction by comparing the same genes in CCDS vs. Refseq. To match your numbers you would expect the UTRs to comprise about half as much sequence as the CDS (since 0.6 is 50% more than 0.4).

            Comment

            • sisch
              Member
              • Jun 2011
              • 29

              #7
              @Eric: I just checked the library protocol again. It was a random primed amplification.
              @Jeremy37: It's pretty much, that I didn't really understand, why I had a so much better mapping to cDNA than to cds. Now on second thought, the mapping to UTRs could make up for the 20%. Maybe I got a bit distracted, that less than 40% mapped, so I looked for a flaw in either sequencing or processing.

              Thank you all for your contributions. I consider this thread as solved with the following conclusion for future readers:

              A better mapping to cDNA in contrast to cds has no further implications on the sequencing, as long as the better mapping can be explained by sequence information derived from the UTRs (which won't map on cds obviously)

              Comment

              Latest Articles

              Collapse

              • SEQadmin2
                Beyond CRISPR/Cas9: Understand, Choose, and Use the Right Genome Editing Tool
                by SEQadmin2



                CRISPR/Cas9 sparked the gene editing revolution for both research and therapeutics.1 But this system still showed severe issues that limited its applications. The most prominent were the heavy reliance on PAM sequences, delivery limitations, double-stranded breaks that prompt unintended edits and cell death, and editing inefficiency (both in targeting and in knock-in reliability).

                Despite this, “CRISPR helped turn genome editing from a specialized technique into
                ...
                07-31-2026, 11:01 AM
              • SEQadmin2
                Proteomic Platforms: How to Choose the Right Analytical Strategy to Improve Detection and Clinical Applications
                by SEQadmin2


                Proteomics platforms are evolving rapidly, with advances in mass spectrometry and affinity-based approaches expanding what researchers can detect and at what scale. As the field moves toward deeper proteome coverage and clinical applications, scientists face an increasingly complex landscape of tools. This article will explore how researchers are navigating these choices to find the right platform for their work.

                The systematic characterization of the human proteome has
                ...
                07-20-2026, 11:48 AM

              ad_right_rmr

              Collapse

              News

              Collapse

              Topics Statistics Last Post
              Started by SEQadmin2, 08-06-2026, 07:41 AM
              0 responses
              23 views
              0 reactions
              Last Post SEQadmin2  
              Started by SEQadmin2, 08-03-2026, 10:13 AM
              0 responses
              37 views
              0 reactions
              Last Post SEQadmin2  
              Started by SEQadmin2, 07-31-2026, 02:55 AM
              0 responses
              43 views
              0 reactions
              Last Post SEQadmin2  
              Started by SEQadmin2, 07-24-2026, 12:17 PM
              0 responses
              26 views
              0 reactions
              Last Post SEQadmin2  
              Working...