Unconfigured Ad

Collapse
X
 
  • Filter
  • Time
  • Show
Clear All
new posts
  • MayaAM
    Junior Member
    • Jun 2012
    • 4

    Sequencing control for ChIP-Seq

    Hello,

    I have a question regarding sequescing control for ChIP-Seq:

    In the chip we sequence only the regions of the DNA that the protein was bind to. Therefore, the part of the DNA that we squence for the chip is small.
    On the other hand, the control containes the whole DNA.
    Therefore, using the same number of reads for both of them, will derive extremely low coverage in the control compering to the chip, and we can get false picks.
    I thought that that it might be a good idea to sequence more the control.

    What do you think?

    Thanks,
    Maya
  • rory
    Member
    • Aug 2008
    • 28

    #2
    The real comparison of interest is not between coverage of bound sites vs. coverage of the control, but rather having comparable sequencing depth between the ChIP background and the control.

    "In the chip we sequence only the regions of the DNA that the protein was bind to" is not what happens in real ChIPs. Generally the majority of reads in the ChIP sample do not map to sites where the protein is bound -- often less than 10% of the reads end up around "real" binding sites. The ChIP only enriches the proportion of reads near binding sites, e.g. from 0.01% of the fragments to 10% of the fragments. Those 10% give much deeper coverage to the 0.01% of the DNA that is bound, while the other 90% of the reads are spread across the rest of the genome, forming the background. The main goal of peak calling is to separate binding site reads from background reads.

    A lot of what is accomplished by the control is to mask out false peaks in the background reads of the ChIP, which are sequenced to a similar depth as the control.

    If you look at it this way, it could be argued that the control should be sequenced somewhat less deeply than the ChIP. Standard practice is to sequence the controls to the same read count as the ChIP. It is possible that there may be places where there is a peak in the control that is not large enough to mask a false peak in the ChIP. However if you over-sequence the control, you may mask out true peaks. In general, biologists hate using their sequencing resources on controls, so without a clear demonstration of why a more deeply sequenced control is required, the current standard is unlikely to change.

    Cheers-
    Rory

    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.
      ...
      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
    • 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, 07-13-2026, 10:26 AM
    0 responses
    20 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 07-09-2026, 10:04 AM
    0 responses
    30 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 07-08-2026, 10:08 AM
    0 responses
    17 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 07-07-2026, 11:05 AM
    0 responses
    34 views
    0 reactions
    Last Post SEQadmin2  
    Working...