Unconfigured Ad

Collapse
X
 
  • Filter
  • Time
  • Show
Clear All
new posts
  • Lucianito77
    Junior Member
    • Jul 2015
    • 4

    On/Off target in cfDNA targeted sequencing Dear Bakhyt, I hope this email finds you

    Dear all,

    I hope this email finds you well.

    I prepared cfDNA libraries using ThruPlex TagSeq (Rubicon) starting with 25 ng cfDNA measured using Qbit. In parallel I also prepared similar liberties using matched normal gDNA sheared to 150-200 bp. I captured these libraries using an Agilent custom panel of 0.47 Mb following Rubicon’s instructions (5 cycles PCR). For post-capture I used 16 cycles PCR (as suggested for panels 1 kb-0.5 Mb). Libraries look good after capture.

    To be able to run downsampling experiments to determine the amount of sequencing required to obtain a given duplication rate, or to obtain a given family size I sequenced cfDNA samples so that I obtained 110-125 million PE 2x75 reads (220-250 million reads) and 20 million PE 2x75 reads (40 million reads) using NextSeq500 high output.

    (Note: I analysed the samples using Curio software (specialized to analyze data from TagSeq), by aligning with BWA-MEM and selecting for UMI containing reads.)

    When I analysed the coverage I was surprised to see that while the off-target (as judged by the high number of reads on untargeted regions) was much higher in the cfDNA sample than in the normal sample, the duplication rate (which i expected to be higher) was not incremented whatsoever and, moreover, the family size was actually lower than in normal. I fund this extremely odd. The coverage analysis indicated that ~2.5 million families were formed in both samples.

    My question, how can it be that the off target soared without increasing the duplication rate nor the family size?

    Any help will be appreciated.

    Luciano
    Last edited by Lucianito77; 04-12-2017, 01:47 AM.
  • nucacidhunter
    Jafar Jabbari
    • Jan 2013
    • 1250

    #2
    Could you explain what the family size means in your post?

    Generally you would expect to have less duplication rate if the off-target read number is high.

    Comment

    • Lucianito77
      Junior Member
      • Jul 2015
      • 4

      #3
      Hi Ncacidhunter,
      when using Unique molecular identifiers, each PCR duplicate is grouped in a consensus read. The nunmber of PCR duplicate in a give consensus read is the family size. It's lie deduplicating but the infomation of duplicate reads is preserved and used for error correction.

      It is true what you said. What is intriguing is that while I do have high duplictaion rates, most of my off target are reads without PCR duplicates. Is this common?

      Comment

      Latest Articles

      Collapse

      • 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
      • SEQadmin2
        Advanced Sequencing Platforms Tackle Neuroscience’s Toughest Genomics Problems
        by SEQadmin2



        Genomics studies in neuroscience face a special challenge due to the brain’s complexity and scarcity of samples. Mapping changes in cell type and state using conventional next-generation sequencing methods remains challenging. Advances in technologies like single-cell sequencing, spatial transcriptomics, and long-read sequencing have opened the door to deeper studies of the brain and diseases like Alzheimer’s, amyotrophic lateral sclerosis (ALS), and schizophrenia.
        ...
        07-09-2026, 11:10 AM
      • SEQadmin2
        Cancer Drug Resistance: The Lingering Barrier to Rising Survival
        by SEQadmin2



        Cancer survival rates have significantly increased in the last few decades in the United States, reaching a combined 70% 5-year survival rate by 2021. Behind this number, there are years of research to find new therapies, drug targets, and early detection methods. But there is one core challenge that keeps slowing down these advances, and it’s about drug resistance.

        There is no single reason why many patients don’t respond to treatment as expected. Cancer is...
        07-08-2026, 05:17 AM

      ad_right_rmr

      Collapse

      News

      Collapse

      Topics Statistics Last Post
      Started by SEQadmin2, Today, 11:41 AM
      0 responses
      8 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 07-20-2026, 11:10 AM
      0 responses
      21 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 07-13-2026, 10:26 AM
      0 responses
      34 views
      0 reactions
      Last Post SEQadmin2  
      Started by SEQadmin2, 07-09-2026, 10:04 AM
      0 responses
      44 views
      0 reactions
      Last Post SEQadmin2  
      Working...