Unconfigured Ad

Collapse
X
 
  • Filter
  • Time
  • Show
Clear All
new posts
  • mbk0asis
    Member
    • Dec 2011
    • 41

    E.coli contamination?

    Hi, all!

    We recently ran Chip-seq and RNA-seq and got decent amount of data.
    When we the raw sequences by running in NCBI blast, all the sequences from Chip-seq were aligned to E.coli genomes. However, only a few sequences were mapped on E.coli genomes.
    FYI, our samples were from mouse cells.
    Has anyone experienced this?
  • Richard Finney
    Senior Member
    • Feb 2009
    • 701

    #2
    I've seen bacteria and virus sequences in data from humans. Some is probably really in the sample, some is contamination from the air.
    It's certainly not unheard of.

    Comment

    • GenoMax
      Senior Member
      • Feb 2008
      • 7142

      #3
      Originally posted by mbk0asis View Post
      When we the raw sequences by running in NCBI blast, all the sequences from Chip-seq were aligned to E.coli genomes. However, only a few sequences were mapped on E.coli genomes.
      FYI, our samples were from mouse cells.
      Has anyone experienced this?
      Can you clarify if *all* sequences mapped to E. coli or only some did (what fraction of total)?

      If it is the first case then you either did not get data back from your own sample or something went terribly wrong in your sample library prep.

      Comment

      • mbk0asis
        Member
        • Dec 2011
        • 41

        #4
        Sorry about late reply, GenoMax.
        I tested 10 reads on blastn, and all of them were aligned to E.coli sequences.
        I also tested 10 reads from another sequencing data we ran last year, and 4 out of 10 sequences were from E.coli. As Richard said, it's somewhat common to see those sequences.
        Thanks!

        Comment

        • GenoMax
          Senior Member
          • Feb 2008
          • 7142

          #5
          Have you tried to analyze the full data set? 10 sequences out of a few million hitting the E. coli genome by blast (are the hits full length identities) may not be a worrisome thing if majority of the sequences are indeed mouse. Until you are convinced otherwise, I would advise moving forward with the alignments to the mouse genome/transcriptome (and if you want to be dead certain Ecoli genome independently). See what fraction of reads align in the two comparisons.

          Comment

          • mbk0asis
            Member
            • Dec 2011
            • 41

            #6
            Thank you for the advice.
            I already tried mapping with bowtie on the mouse genome, and less than 1% of raw reads (~3000 reads) were mapped on the mouse. I think I will try bowtie on Ecoli genome to see how many reads would be aligned.
            I think it's most likely the Ecoli contamination.
            If so, in which step during library prep, do you think that could happen?

            Comment

            Latest Articles

            Collapse

            • SEQadmin2
              Proteomic Platforms: How to Choose the Right Analytical Strategy to Improve Detection and Clinical Applications
              by SEQadmin2


              Proteomics platforms are evolving rapidly, with advances in mass spectrometry and affinity-based approaches expanding what researchers can detect and at what scale. As the field moves toward deeper proteome coverage and clinical applications, scientists face an increasingly complex landscape of tools. This article will explore how researchers are navigating these choices to find the right platform for their work.

              The systematic characterization of the human proteome has
              ...
              07-20-2026, 11:48 AM
            • 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

            ad_right_rmr

            Collapse

            News

            Collapse

            Topics Statistics Last Post
            Started by SEQadmin2, 07-20-2026, 11:10 AM
            0 responses
            14 views
            0 reactions
            Last Post SEQadmin2  
            Started by SEQadmin2, 07-13-2026, 10:26 AM
            0 responses
            31 views
            0 reactions
            Last Post SEQadmin2  
            Started by SEQadmin2, 07-09-2026, 10:04 AM
            0 responses
            42 views
            0 reactions
            Last Post SEQadmin2  
            Started by SEQadmin2, 07-08-2026, 10:08 AM
            0 responses
            28 views
            0 reactions
            Last Post SEQadmin2  
            Working...