Unconfigured Ad

Collapse
X
 
  • Filter
  • Time
  • Show
Clear All
new posts
  • Elugop
    Junior Member
    • Nov 2017
    • 2

    RNA integrity number Drosophila

    Hello @all
    as we want to start an RNA-Seq analysis we try to determine the quality of our RNA (Drosophila heads) first. When we did this via Bioanalyzer an error occurred as expected. The measurement in a TapeStation results in a RIN though. I can`t explain why because still no 28S peak is visible. The RIN is the ration of 28S to 18S as I understood this.
    Therefore I don`t know if I can rely on that. Does someone have experience with that?
    Thank you!
    Jule

    ps: attached you see the trace of one sample with both machines
    Attached Files
  • ericchow
    Junior Member
    • Dec 2012
    • 4

    #2
    It's a result of the 28S from insects being split. See this article: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3016993/

    Comment

    • luc
      Senior Member
      • Dec 2010
      • 469

      #3
      As consequence from what Eric wrote, one often has to eyeball the RNA integrity for insect samples on the Bioanalyzer (I am looking ratio of the rRNA peak size to the smaller debris fragments).
      Your example trace looks great.

      Comment

      • Elugop
        Junior Member
        • Nov 2017
        • 2

        #4
        Thanks - I try it with these samples now. Fingers crossed

        Comment

        • HarbsSM
          Junior Member
          • Nov 2017
          • 1

          #5
          Hi,
          I'd suggest using the Bioanalyzer over the Tapestation in the future. It gives a more granular electropherogram, whereas the Tapestation directly images the gel image from the run. This results in a less detailed electropherogram. Your trace looks good, but the RIN/RINe values are effectively redundant for insect material. Eyes are the best measure.

          The link above is a great explanation!

          Comment

          Latest Articles

          Collapse

          • GATTACAT
            Reply to Nine Things a Sample Prep Scientist Thinks About Before Sequencing
            by GATTACAT
            Love this - good data definitely starts from good input, and poor input can only give relatively poor data. I particularly like the mention of Nanodrop/absorbance based methods for quantification. It's such a toss up if you'll get an accurate reading or what amounts to a randomly generated number, and a lot of library/sequencing related issues can be traced back to poor quant.
            07-01-2026, 11:43 AM
          • SEQadmin2
            Nine Things a Sample Prep Scientist Thinks About Before Sequencing
            by SEQadmin2


            I’m not a sequencing expert. I’m a purification scientist who uses NGS to evaluate workflows my group develops. With this perspective, we think about the sample first and the NGS workflow second. The sequencer is an exceptionally honest reporter, but it can only report on what you give it, so whether you get clean, interpretable data from an NGS workflow is largely determined before you begin.

            Here are nine questions we think about, in roughly the order they matter, before...
            06-18-2026, 07:11 AM

          ad_right_rmr

          Collapse

          News

          Collapse

          Topics Statistics Last Post
          Started by SEQadmin2, 07-02-2026, 11:08 AM
          0 responses
          19 views
          0 reactions
          Last Post SEQadmin2  
          Started by SEQadmin2, 06-30-2026, 05:37 AM
          0 responses
          20 views
          0 reactions
          Last Post SEQadmin2  
          Started by SEQadmin2, 06-26-2026, 11:10 AM
          0 responses
          21 views
          0 reactions
          Last Post SEQadmin2  
          Started by SEQadmin2, 06-17-2026, 06:09 AM
          0 responses
          54 views
          0 reactions
          Last Post SEQadmin2  
          Working...