Unconfigured Ad

Collapse
X
 
  • Filter
  • Time
  • Show
Clear All
new posts
  • kgoglin
    Member
    • Dec 2014
    • 17

    Blue Pippen problems

    Is anyone else having problems with Blue Pippen's accuracy? Our error % from all our control DNAs tests range from 3-13%.

    One Example:
    Tight Setting(250bp)
    Bioanalyzer average size (bp) (282bp)
    12.8% error

    What is an acceptable error rate for the Blue Pippen?

    We have been using a 20bp offset for our samples (both amplicon and sheared gDNA) and BP control DNA. (So for a 390bp extraction, we use the 370bp tight setting.) This has been working for a while, but not anymore. We contacted Sage Science, who has been helping us a little, but we are still running through loops. Sage says our BP instrument log files are great and that it could be a cassette issue. They also think that since we are using PCR product, we may have single-stranded DNA that may be interfering with how we visualize peaks on the Bioanalzyer. This may be true but our sheared gDNA does not size accurately either.

    Sage Science suggests that, for every new sample type, we run a test run to determine the best setting. Does anyone do this?

    What other problems have you seen with the Blue Pippen? Is there a better alternative?
  • nucacidhunter
    Jafar Jabbari
    • Jan 2013
    • 1250

    #2
    One has to take into account size distribution CV, reproducibility% and accuracy% for each Cassette type. Loading quantity, structure of DNA (blunt ended, Y shape, staggered ends) also can affect the size range distribution. On top of all of these also BA has its own specifications and deviation from them also will affect the sizing.

    Your example of tight setting at 370bp will collect fragments in 337-403bp. If you use range setting of 350-390 it will not collect 370bp as that setting is narrower than tightest setting possible for which the software gives a narrow warning.

    I agree with Sage explanation and their platform is much better than another one that I have tried.

    Comment

    • kerplunk412
      Senior Member
      • Jun 2012
      • 119

      #3
      I know that to select small RNA libraries of ~150 bp and exclude adapter-dimer at ~130 bp you must use settings way different from expected (115 bp-170 bp collection range), so I am not surprised that a little optimization may be necessary.

      Regarding a better alternative, the only other thing I have tried is the E-gel, and Pippin is so much better it isn't even a comparison. I think the Caliper LabChip is probably a better comparison but I haven't had a chance to try it. I did find this Googling a little though.

      Comment

      • nucacidhunter
        Jafar Jabbari
        • Jan 2013
        • 1250

        #4
        I had a similar result to the linked paper in kerplunk412 post comparing Pippin and LabChip.

        Comment

        • kgoglin
          Member
          • Dec 2014
          • 17

          #5
          Thank you for responding

          Sage Science said that they like to see less than 10% error from the control DNA. This seems pretty high to me but if that's the case, then I guess we will have to test more than one setting for each sample type.

          Comment

          Latest Articles

          Collapse

          • SEQadmin2
            From Collection to Sequencing: Why Sample Preparation and Preservation Define Sequencing Data
            by SEQadmin2


            Data variability is still an issue in sequencing technologies despite the advances in reproducibility and accuracy of these platforms. But the problem does not originate in the sequencing itself, but in the previous steps, before the sample reaches the sequencer.


            The first step is collection, followed by preservation and sample preparation for analysis. Most scientists overlook those steps, but not being careful might just be skewing the experiment’s results.
            ...
            Yesterday, 10:05 AM
          • SEQadmin2
            Single-Cell Sequencing at an Inflection Point: Early Impacts of New Platforms and Emerging Trends
            by SEQadmin2


            With the launch of new single-cell sequencing platforms in 2026, the field stands at an exciting inflection point. This article surveys the most impactful advances in the field and discusses how they’re reshaping research in cancer, immunology, and beyond.


            Introduction

            Single-cell sequencing technologies have undergone remarkable advances over the past decade, transitioning from low-throughput experimental approaches to highly scalable platforms capable of...
            05-22-2026, 06:42 AM
          • SEQadmin2
            Environmental Genomics in the Age of NGS: From Microbes to Conservation Strategies
            by SEQadmin2

            Studying ecosystems means dealing with complex, multi-species communities that are hard to observe at scale. This complexity, however, hides many important questions to be answered, from how biogeochemical cycles work and how climate change can affect species distribution to how conservation strategies can work best.


            Genomics, particularly since the expansion of NGS, has transformed ecosystem ecology. By sequencing environmental DNA, we can now assess biodiversity without direct...
            05-06-2026, 09:04 AM

          ad_right_rmr

          Collapse

          News

          Collapse

          Topics Statistics Last Post
          Started by SEQadmin2, Yesterday, 12:03 PM
          0 responses
          19 views
          0 reactions
          Last Post SEQadmin2  
          Started by SEQadmin2, Yesterday, 11:40 AM
          0 responses
          14 views
          0 reactions
          Last Post SEQadmin2  
          Started by SEQadmin2, 05-28-2026, 11:40 AM
          0 responses
          29 views
          0 reactions
          Last Post SEQadmin2  
          Started by SEQadmin2, 05-26-2026, 10:12 AM
          0 responses
          31 views
          0 reactions
          Last Post SEQadmin2  
          Working...