Unconfigured Ad

Collapse
X
 
  • Filter
  • Time
  • Show
Clear All
new posts
  • turnersd
    Senior Member
    • May 2011
    • 115

    RNA-seq library prep without poly-A selection

    Hello. I'm working on a project to examine gene expression in a system where RNA-processing has gone awry. I expect to see aberrant splicing, alternative transcription start site usage, aberrant poly-adenylation and capping, etc. RNA-seq is the perfect tool for looking at both differential expression and strange RNA-structural events.

    But I don't want to do a poly-A selection because I'll probably lose all these odd transcripts that I'm most interested in that might not be properly polyadenylated, spliced, capped, etc. Yet I don't want to sequence a ton of rRNAs and tRNAs.

    What kind of library preparation techniques should I investigate that don't require a poly-A selection?

    Many thanks.
  • gringer
    David Eccles (gringer)
    • May 2011
    • 845

    #2
    Yet I don't want to sequence a ton of rRNAs and tRNAs.

    What kind of library preparation techniques should I investigate that don't require a poly-A selection?
    Given that RNA selection can be biased and will not necessarily remove all rRNAs, and current NGS sequencers give you oodles of data to play around with, I don't see a problem with sequencing the rRNA as well as other RNA.

    Let's say you have 80% rRNA in your sample, and 80% mappable reads. The amount of mappable non-rRNA sample will be about 16% of the original reads, so if you've got 100M single-end reads then that's 16M non-rRNA reads. With 50bp reads, that's a mean coverage of ~7x for a 120Mb transcriptome (vs ~33x for a "perfect" rRNA extraction).

    Comment

    • apratap
      Member
      • Jan 2009
      • 58

      #3
      One way to do it is two extract RNA in two steps. 1.) Capture Poly-A tail 2.) Perform ribosomal depletion on the leftover sample and the leftover should contain Poly A-.

      When we do this we still see about 70-80% of the #2 sample still contain rRNA/tRNA.

      I would be interested in knowing if others can get a cleaner sample and methods used.

      Thanks!
      -Abhi

      Comment

      • gglusman
        Occasional visitor
        • Jun 2010
        • 4

        #4
        Consider using duplex-specific nuclease (DSN):

        Comment

        • pbluescript
          Senior Member
          • Nov 2009
          • 224

          #5
          If you don't get rid of the rRNA, you might miss some of the rare/odd transcripts you mentioned you wanted to look for. Size selection is enough to get rid of tRNAs, which are generally under 100bp long. For rRNAs, I would use a ribosome depletion kit. Getting rid of those reads would be very useful in getting the depth you might need to see aberrant transcripts.

          Comment

          • mediator
            Member
            • Nov 2010
            • 27

            #6
            You can just do two rounds of rRNA removal. I've used invitrogen's ribominus, cleared more than 90% of rRNA in first round (confirmed by real time PCR of 18s).

            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...