Seqanswers Leaderboard Ad

Collapse

Announcement

Collapse
No announcement yet.
X
 
  • Filter
  • Time
  • Show
Clear All
new posts

  • RNA-seq: concern about quantification of transcriptome

    Hi everybody!

    I'd like to generate and quantify whole transcriptomes by using RNA-seq in the near -- well, not so near -- future but I am completely newbie on this method.

    My doubt concerns mainly the quantification capacity of RNA-seq: how can RNA-seq be used to quantify transcripts if a PCR amplification has to be done after the adapter ligation in the library preparation setp? How can this amplification step not impair the post-sequencing quantification of transcripts?

    Is the amount of PCR-amplified products directly proportional to the initial amount of cDNAs in this case?

    Thank you in advance!

    Marcio

  • #2
    There will be some sequence-specific bias in the amplification but usually one compares the same sequences (genes) under different conditions, and with fragmented samples which makes it less of a problem. It is possible to use molecular identifiers (random sequences) in the adaptors to account for PCR bias (google qRNA-seq or "Counting absolute number of molecules using unique molecular identifiers" for more info).

    Comment


    • #3
      Hi Chipper! Thank you for your reply!

      Actually my main concern is about the number of PCR cycles. It is known that the quantification of PCR products is unreliable if PCR reaches its saturation level. In general, how many cycles are allowed in the amplification step of a library prep for RNA-seq?

      Thank you again!

      Comment


      • #4
        Hi Mlacencio,
        The Illumina TruSeq RNA-seq protocol calls for 15 cycle (total RNA 0.1 ug - 4 ug optimized).
        A recent single-cell method, Quartz-Seq, performs 21 cycles of whole transcriptome amplification PCR prior to 10 - 12 cycles of library PCR.

        Comment

        Latest Articles

        Collapse

        • seqadmin
          Best Practices for Single-Cell Sequencing Analysis
          by seqadmin



          While isolating and preparing single cells for sequencing was historically the bottleneck, recent technological advancements have shifted the challenge to data analysis. This highlights the rapidly evolving nature of single-cell sequencing. The inherent complexity of single-cell analysis has intensified with the surge in data volume and the incorporation of diverse and more complex datasets. This article explores the challenges in analysis, examines common pitfalls, offers...
          06-06-2024, 07:15 AM
        • seqadmin
          Latest Developments in Precision Medicine
          by seqadmin



          Technological advances have led to drastic improvements in the field of precision medicine, enabling more personalized approaches to treatment. This article explores four leading groups that are overcoming many of the challenges of genomic profiling and precision medicine through their innovative platforms and technologies.

          Somatic Genomics
          “We have such a tremendous amount of genetic diversity that exists within each of us, and not just between us as individuals,”...
          05-24-2024, 01:16 PM

        ad_right_rmr

        Collapse

        News

        Collapse

        Topics Statistics Last Post
        Started by seqadmin, Yesterday, 06:58 AM
        0 responses
        13 views
        0 likes
        Last Post seqadmin  
        Started by seqadmin, 06-06-2024, 08:18 AM
        0 responses
        20 views
        0 likes
        Last Post seqadmin  
        Started by seqadmin, 06-06-2024, 08:04 AM
        0 responses
        18 views
        0 likes
        Last Post seqadmin  
        Started by seqadmin, 06-03-2024, 06:55 AM
        0 responses
        13 views
        0 likes
        Last Post seqadmin  
        Working...
        X