Seqanswers Leaderboard Ad

Collapse

Announcement

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

  • Methylation Study

    Hi,

    I'm a PhD student and currently working on building up a Methylome of a plant species. I have a plant line which has been inbred for 9 generations to ensure homozygosity. I would like to know whether it is more robust to perform the sequencing from a) tissue of several individuals from the same mother pooled together and sequenced several times, b) tissue of several individuals from the same mother indexed then pooled, c) tissue of several individuals sequenced once each separately or d) tissue from a single individual sequenced several times?

    * Using Illumina MiSeq *

    Cheers,

    Justin

  • #2
    Is the goal simply methylation profiling or do you also want to look at methylation differences (say between two related inbred strains with different phenotypes)?

    Comment


    • #3
      Originally posted by dpryan View Post
      Is the goal simply methylation profiling or do you also want to look at methylation differences (say between two related inbred strains with different phenotypes)?
      The aim of this is to develop a standard methylation profile with which I can later use as a reference to compare back to for methylation studies using different tissues at different time points under different growing conditions using the same inbred line. Thus deducing which genes/genome regions are at least in part regulated by methylation modulation in response to developmental or environmental stimuli.

      Comment


      • #4
        d) will tell you about technical variability, but I suspect that biological variation will dominate, so c) is the most robust (b is similar). If you know the variation, then you can assess if new samples fall within that variation or not. If you just do a) you will have the average, but you won't know if new samples differing from the average are examples of new methylation patterns or at the tail end of the distribution already seen.
        Providing nextRAD genotyping and PacBio sequencing services. http://snpsaurus.com

        Comment


        • #5
          Originally posted by SNPsaurus View Post
          d) will tell you about technical variability, but I suspect that biological variation will dominate, so c) is the most robust (b is similar). If you know the variation, then you can assess if new samples fall within that variation or not. If you just do a) you will have the average, but you won't know if new samples differing from the average are examples of new methylation patterns or at the tail end of the distribution already seen.
          Thanks for that. Definitely a helpful clarification! I think what I'll do is a couple of technical reps (a) as well as assess biological variation (c) from a couple of individuals.

          Comment


          • #6
            I agree with SNPsaurus, either C or B (if the genome is quite small) will be your best bet. If the genome isn't smallish, you'll need technical replicates as well to get enough depth (if you're planning bisulfite-sequencing, keep in mind that the alignment rate is a bit lower than what you would otherwise get). Having said that, you'll be better served sequencing more samples at (relatively) low depth than just sequencing one pool or one sample at high depth (estimating variability and all that).

            Comment

            Latest Articles

            Collapse

            • seqadmin
              Recent Advances in Sequencing Analysis Tools
              by seqadmin


              The sequencing world is rapidly changing due to declining costs, enhanced accuracies, and the advent of newer, cutting-edge instruments. Equally important to these developments are improvements in sequencing analysis, a process that converts vast amounts of raw data into a comprehensible and meaningful form. This complex task requires expertise and the right analysis tools. In this article, we highlight the progress and innovation in sequencing analysis by reviewing several of the...
              Yesterday, 07:48 AM
            • seqadmin
              Essential Discoveries and Tools in Epitranscriptomics
              by seqadmin




              The field of epigenetics has traditionally concentrated more on DNA and how changes like methylation and phosphorylation of histones impact gene expression and regulation. However, our increased understanding of RNA modifications and their importance in cellular processes has led to a rise in epitranscriptomics research. “Epitranscriptomics brings together the concepts of epigenetics and gene expression,” explained Adrien Leger, PhD, Principal Research Scientist...
              04-22-2024, 07:01 AM

            ad_right_rmr

            Collapse

            News

            Collapse

            Topics Statistics Last Post
            Started by seqadmin, Today, 06:57 AM
            0 responses
            9 views
            0 likes
            Last Post seqadmin  
            Started by seqadmin, Yesterday, 07:17 AM
            0 responses
            14 views
            0 likes
            Last Post seqadmin  
            Started by seqadmin, 05-02-2024, 08:06 AM
            0 responses
            19 views
            0 likes
            Last Post seqadmin  
            Started by seqadmin, 04-30-2024, 12:17 PM
            0 responses
            24 views
            0 likes
            Last Post seqadmin  
            Working...
            X