Unconfigured Ad

Collapse
X
 
  • Filter
  • Time
  • Show
Clear All
new posts
  • BioGenomics
    Member
    • Apr 2009
    • 25

    16s updated NextSeq500 library prep for low concentration ok for MiSeq ?

    Hi all, anybody has experience with using a 0.5 nM 16s library concentration (instead of 2nM) on the MiSeq ? The NextSeq500 has this protocol (updated October 2014, so more recent) and we thought to add the 200mM TRis buffer PH 7.0 too to hydrolyse the higher NaOH concentration needed initially. Thanks
  • nucacidhunter
    Jafar Jabbari
    • Jan 2013
    • 1250

    #2
    Hi BioGenomics

    Would you post the result if you could. In theory it sounds fine, but one always wonders why Illumina is not recommending it for their other systems.

    Comment

    • BioGenomics
      Member
      • Apr 2009
      • 25

      #3
      Hi NAH, Illumina TechSupp replied as such on the use of NextSeq500 protocol:

      "All of Illumina platforms use isothermal amplification for clustering, and sequencing by synthesis for sequencing. So the diluting and denaturing process is similar for all platforms; with the exception of volumes and concentrations, that should be modified to meet the optimal cluster density and data yields as per the specifications of your instrument of choice.

      So, yes you can use the same low concentration diluting and denaturing protocol for the MiSeq keeping in mind that the loading volumes in lower (600ul vs 1300ul), and your loading concentration should be higher (6-20pM vs 1.8pM).

      For more information please see:
      Preparing Libraries for Sequencing on the MiSeq http://support.illumina.com/content/...15039740-d.pdf

      Denaturing and Diluting Libraries for the NextSeq 500 http://support.illumina.com/content/...-15048776d.pdf
      "

      So we made a 0.5 nM library now, used the 200mM Tris-HCL pH 7.0 additional step to neutralize the increased NaOH concentration and loaded all at 12 pM end concentration today (we tested 4 and 8 pM already with a bit too low clustering, 5 % PhiX) . First results 800K Clusters, so looking good ! Now waiting for the Q30 % in the next days. Illumina should update more regularly their protocols...

      To be continued...

      Comment

      • nucacidhunter
        Jafar Jabbari
        • Jan 2013
        • 1250

        #4
        Thanks BioGenomics for posting this. I wonder if you are using v2 or v3 and what type of library you are sequencing.

        Comment

        • BioGenomics
          Member
          • Apr 2009
          • 25

          #5
          Using v3 and running pool of 16s amplicon libs + Nextera XT small genome/large amplicon libs. So the 5 % PhiX might not be needed. Run still looking good (98% > Q30).

          Comment

          Latest Articles

          Collapse

          • 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.
            ...
            Today, 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...
            Yesterday, 05:17 AM
          • 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

          ad_right_rmr

          Collapse

          News

          Collapse

          Topics Statistics Last Post
          Started by SEQadmin2, Today, 10:04 AM
          0 responses
          7 views
          0 reactions
          Last Post SEQadmin2  
          Started by SEQadmin2, Yesterday, 10:08 AM
          0 responses
          6 views
          0 reactions
          Last Post SEQadmin2  
          Started by SEQadmin2, 07-07-2026, 11:05 AM
          0 responses
          9 views
          0 reactions
          Last Post SEQadmin2  
          Started by SEQadmin2, 07-02-2026, 11:08 AM
          0 responses
          31 views
          0 reactions
          Last Post SEQadmin2  
          Working...