Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • JBKri
    Member
    • Jan 2014
    • 80

    #1

    qPCR vs Qubit, big difference

    We have prepared a TruSeq DNA PCR-free library, and quantification with Qubit gives roughly 10 times higher concentrations than qPCR (range 4-50 times difference). Could this be because of poor adapter ligation efficiency, and is this normal for a PCR-free library? I was told by the local Illumina rep that such a big difference is not normal. We are using the KAPA Universal qPCR kit.
    Jon
  • pmiguel
    Senior Member
    • Aug 2008
    • 2328

    #2
    Originally posted by JBKri View Post
    We have prepared a TruSeq DNA PCR-free library, and quantification with Qubit gives roughly 10 times higher concentrations than qPCR (range 4-50 times difference). Could this be because of poor adapter ligation efficiency, and is this normal for a PCR-free library? I was told by the local Illumina rep that such a big difference is not normal. We are using the KAPA Universal qPCR kit.
    Jon
    Sure, it could be low ligation efficiency. Could be an issue with your input DNA -- like maybe it is damaged. Maybe has a lot of abasic sites or whatnot that prevent many of the amplicons from amplifying. If you used a PCR-based method to construct the libraries you might not have even noticed.

    Four-fold lower concentration via qPCR would be no big deal. But 50-fold?

    Anyway, as long as you can get enough to cluster, it probably doesn't matter.

    --
    Phillip

    Comment

    • JBKri
      Member
      • Jan 2014
      • 80

      #3
      Originally posted by pmiguel View Post
      Sure, it could be low ligation efficiency. Could be an issue with your input DNA -- like maybe it is damaged. Maybe has a lot of abasic sites or whatnot that prevent many of the amplicons from amplifying. If you used a PCR-based method to construct the libraries you might not have even noticed.

      Four-fold lower concentration via qPCR would be no big deal. But 50-fold?

      Anyway, as long as you can get enough to cluster, it probably doesn't matter.

      --
      Phillip
      thanks, these samples were prepared PCR-free. We believe the DNA quality was good. I fear we might have a problem with the qPCR workflow and/or instrument. We typically see quite a lot of variation between replicates in a qPCR. We will repeat the qPCR for this library.

      Comment

      • JBKri
        Member
        • Jan 2014
        • 80

        #4
        Originally posted by JBKri View Post
        thanks, these samples were prepared PCR-free. We believe the DNA quality was good. I fear we might have a problem with the qPCR workflow and/or instrument. We typically see quite a lot of variation between replicates in a qPCR. We will repeat the qPCR for this library.
        Just an update: we repeated the qPCR; it gave roughly the same results. We ran the library on our MiSeq; we got a low-ish cluster density (525 K/mm2) from loading 6 pM, so it seems the difference between the Qubit and qPCR is real and probably due to low ligation efficiency. The sample that had the extreme 50-fold difference actually had a mistake during the first bead cleanup (wrong ratio)...
        Jon
        Last edited by JBKri; 03-09-2015, 08:38 AM.

        Comment

        • kerplunk412
          Senior Member
          • Jun 2012
          • 119

          #5
          So then were most of your samples about 4x different between Qubit and qPCR? This seems more reasonable, but still fewer doubly-ligated molecules than I would expect.

          Comment

          • JBKri
            Member
            • Jan 2014
            • 80

            #6
            Originally posted by kerplunk412 View Post
            So then were most of your samples about 4x different between Qubit and qPCR? This seems more reasonable, but still fewer doubly-ligated molecules than I would expect.
            The average was around 6-7x difference. Is this much less than typical?
            Jon

            Comment

            • pmiguel
              Senior Member
              • Aug 2008
              • 2328

              #7
              Originally posted by JBKri View Post
              The average was around 6-7x difference. Is this much less than typical?
              Jon
              Keep in mind people rarely check this and so won't give you a useful answer in most cases.

              For no-amp libraries direct measurements of the amplicons themselves are necessary -- just use qPCR to quantify them.

              I mean it's fine to sit around wringing your hands because only about 10% of the fragments you introduced into the assay actually produced amplicons, but the vast preponderance of people who do this sort of work would be blissfully unaware of their inadequacy in this area. So why sweat it?

              Keeping it in the back of your mind is probably the best idea. Look for ways to improve the "quality" of your input DNA and look for issues with your pipettors, etc. But if you can scape together enough library to cluster then declare victory and move on. (This is for no-amp libraries only -- once you have PCR amplification involved in your prep methodology you should hold the final product to a higher standard.)

              --
              Phillip

              Comment

              • JBKri
                Member
                • Jan 2014
                • 80

                #8
                Originally posted by pmiguel View Post
                Keep in mind people rarely check this and so won't give you a useful answer in most cases.

                For no-amp libraries direct measurements of the amplicons themselves are necessary -- just use qPCR to quantify them.

                I mean it's fine to sit around wringing your hands because only about 10% of the fragments you introduced into the assay actually produced amplicons, but the vast preponderance of people who do this sort of work would be blissfully unaware of their inadequacy in this area. So why sweat it?

                Keeping it in the back of your mind is probably the best idea. Look for ways to improve the "quality" of your input DNA and look for issues with your pipettors, etc. But if you can scape together enough library to cluster then declare victory and move on. (This is for no-amp libraries only -- once you have PCR amplification involved in your prep methodology you should hold the final product to a higher standard.)

                --
                Phillip
                Yeah, that's pretty much how we feel, decent results for a first try, everyone is happy.
                Thanks,
                Jon

                Comment

                • kerplunk412
                  Senior Member
                  • Jun 2012
                  • 119

                  #9
                  Originally posted by JBKri View Post
                  The average was around 6-7x difference. Is this much less than typical?
                  Jon
                  Based on data I have seen from our kits I think only 1/6 or 1/7 efficiency is a bit low. However I agree with pmiguel that if you have enough for cluster generation you are probably good to go, especially with PCR-free libraries. I don't think adapter ligation to dsDNA has been shown to introduce much bias, otherwise I may worry about the low ligation efficiency.

                  Comment

                  Latest Articles

                  Collapse

                  • SEQadmin2
                    New Genomics Technologies Take Aim at Long-Standing Limits
                    by SEQadmin2


                    Researchers using sequencing and genomics tools often have to make trade-offs. They can choose between speed or scale, short reads or long-range information, or targeted panels or a view of the whole transcriptome. New technologies that have been released this year are built to address those tough choices.

                    We asked six companies the same four questions to learn about their latest products. The new technologies bring a lot to the table, including rethinking sequencing
                    ...
                    09-28-2026, 10:25 AM
                  • SEQadmin2
                    How Immunogenomics Decodes Immunity’s Genetic Blueprint
                    by SEQadmin2




                    The immune system’s power comes from its genetic diversity, allowing myriad threats to be neutralized through first recognizing foreign antigens. That diversity is also what makes the immune system so difficult to study. Recent advances in sequencing technology and computational biology, however, are giving researchers new tools to understand immune responses and immune-related diseases in greater detail.

                    This convergence of genetics, immunology, and computation...
                    09-01-2026, 05:41 AM

                  ad_right_rmr

                  Collapse

                  News

                  Collapse

                  Topics Statistics Last Post
                  Started by SEQadmin2, 09-29-2026, 09:51 AM
                  0 responses
                  13 views
                  0 reactions
                  Last Post SEQadmin2  
                  Started by SEQadmin2, 09-25-2026, 09:06 AM
                  0 responses
                  37 views
                  0 reactions
                  Last Post SEQadmin2  
                  Started by SEQadmin2, 09-23-2026, 11:05 AM
                  0 responses
                  28 views
                  0 reactions
                  Last Post SEQadmin2  
                  Started by SEQadmin2, 09-18-2026, 11:37 AM
                  1 response
                  48 views
                  0 reactions
                  Last Post pekgio
                  by pekgio
                   
                  Working...