Seqanswers Leaderboard Ad

Collapse

Announcement

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

  • captainentropy
    replied
    Check the concentration of PhiX by qPCR (e.g. KAPA). I don't think I've yet seen a tube from Illumina come in at 10 nM. It's usually much higher, in my experience.

    Also, I've noticed that if you make a 20 pM denatured PhiX stock ahead of time and use it over a period of time, the %aligned/%expected will drop with each run. Once I mistakenly used a tube of 20 pM that was left out overnight and the %aligned was massively off. I'm suspecting that much of it had renatured.

    Also, I'm in the habit of aliquoting 0.2 N NaOH into 50 uL aliquots, freezing them, and only using them a couple of times. Same for the 20 pM PhiX. After the 5 min denaturing step I follow that with 1 min at 95 C. Illumina recommends an additional heating step for high GC samples, but IMO it's a good insurance policy against an aliquot of weak NaOH. Plus, it shouldn't hurt the samples/PhiX...

    Leave a comment:


  • dfhdfh
    replied
    So, in my case, PhiX should cluster better than my library, whose size (~630 bp total) I exactly know because it's an amplicon library. However, that's not the case.

    Leave a comment:


  • Jessica_L
    replied
    From Illumina's technote:

    "The mean insert size of the PhiX v3 library is approximately 375 bp,
    corresponding to approximately a 500 bp library size if visualized on a
    Bioanalyzer."

    Leave a comment:


  • martagh1
    replied
    I have had these issues with PhiX not aligning as well as it should when I rum miRNA libraries in either MiSeq or NextSeq, and Illumina has told me that it is very dependent on the size of your fragments. Sweetph3 you are right, smaller fragments cluster better than larger ones, so if your library has an average size of 150nt (like the miRNA ones) they will cluster way better than PhiX which is larger (if I remember correctly Illumina told me it is around 465bp). So you have to make sure, in those cases, that you load more PhiX than normal to make sure it aligns closer to the expected spike-in, and as such you get good enough diversity.

    Leave a comment:


  • sweetph3
    replied
    What is the fragment size of the PhiX library? I haven't ever run it on a Bioanalyzer, so I don't know if it's relatively small or large. Since smaller fragments tend to cluster with better efficiency than larger fragments, could the variations seen here just be due to certain libraries clustering more (or less) efficiently than the PhiX controls because they are smaller (or larger) than the PhiX?

    Leave a comment:


  • dfhdfh
    replied
    In my mind it does, because, on the one hand, I want as little PhiX as possible in order to maximize my actual data output. On the other hand, I want a high enough percentage in order to enable sequencing of low diversity samples. In theory, this balance is simple, in practice it is a bit of a pain.

    Leave a comment:


  • GenoMax
    replied
    Clearly people take phiX seriously

    Does it matter if one recovers less (based on other posts), as long as it positively influences a run in reaching completion?

    Leave a comment:


  • Jessica_L
    replied
    That was exactly my thought-- it doesn't really explain the entire issue since a lot of the variability seems to be instrument dependent. Maybe it's somehow related to onboard clustering? In which case, a HiSeq in rapid mode should have the same issue?

    Leave a comment:


  • pmiguel
    replied
    I like the idea of phiX library's buffer being the culprit ...
    Seems like we never have trouble with the HiSeq in this regard, though.
    Also doesn't explain dfhdfh's results.
    --
    Phillip

    Leave a comment:


  • Jessica_L
    replied
    Might it be an issue with either the NaOH or the PhiX library's buffer? Maybe the concentration of the buffer (or one of the components) is off even if the amount of PhiX DNA in the tube is correct? That sort of makes sense in my mind since mixing the PhiX and main library (the Purdue way) might dilute whatever inhibitors are present down to insignificant levels.

    When I've seen cluster numbers deviate from expectation, they were usually related to the pH of the sodium hydroxide. I've taken to checking with pH strips before starting my denaturation step. I've had to toss more than one tube of NaOH on more than one occasion.

    I'm not sure that either of these explanations adequately explain why you're seeing differences at high percentage vs low percentage spike-ins, though. Denatured PhiX should be denatured PhiX and it would either work or it wouldn't.

    Might there be some sequence in your bacterial libraries that could be interacting with the PhiX sequence at the flow cell hybridization step?

    Leave a comment:


  • pmiguel
    replied
    Originally posted by dfhdfh View Post
    That's a really good point. However, the libraries were all quantified in the same way and I can predict pretty well what cluster densities I'll get. So I'm actually quite confident with my measurements.
    Yeah, this is what we were seeing. Crazy variation in the number of phiX clusters.

    --
    Phillip

    Leave a comment:


  • dfhdfh
    replied
    That's a really good point. However, the libraries were all quantified in the same way and I can predict pretty well what cluster densities I'll get. So I'm actually quite confident with my measurements.

    Leave a comment:


  • microgirl123
    replied
    The percentage of phiX you end up with is also dependent on how accurate the quantification of your actual library is. If your library is underquantified, you will end up with a lower percentage of phiX. If it's overquantified, you'll end up with a higher percentage. That's why I usually aim for a higher percentage than 5%. I'd hate to lose a low diversity run over the phiX concentration.

    You also need to keep in mind that you are pipetting really small volumes, both in loading your library and in quantifying it. Even with perfect pipetting skills, it's impossible to be totally accurate. One thing that I find helpful is, if I end up with a very high concentration library (based on the KAPA quant), to dilute it down to less than 10 nM and quantify again before loading the MiSeq.

    Leave a comment:


  • dfhdfh
    replied
    Ok, these are the results:

    First run (1x150 v3, high diversity sample), I spiked in 5 % PhiX (Illumina way), which resulted in 3.85 %. As I was quite happy with this result, I performed the second run (also 1x150 v3, high diversity sample) with 1 % spike-in (also Illumina way), which resulted in 0.8 %.

    Today, I started an amplicon run (2x300 v3) with a spike-in of 10 % and used the same PhiX lot as for the samples from last week (Illumina way). However, this time I only achieved 5.02 % of PhiX (it's still running and only 50 cycles in but I don't think it'll change).
    Well, that's rather disappointing and I have no clue what the difference is. Somehow the library seems to have an influence? I'm not sure.

    Leave a comment:


  • dfhdfh
    replied
    Haha, ok

    I'll report as soon as I know more.

    Leave a comment:

Latest Articles

Collapse

  • seqadmin
    Advancing Precision Medicine for Rare Diseases in Children
    by seqadmin




    Many organizations study rare diseases, but few have a mission as impactful as Rady Children’s Institute for Genomic Medicine (RCIGM). “We are all about changing outcomes for children,” explained Dr. Stephen Kingsmore, President and CEO of the group. The institute’s initial goal was to provide rapid diagnoses for critically ill children and shorten their diagnostic odyssey, a term used to describe the long and arduous process it takes patients to obtain an accurate...
    12-16-2024, 07:57 AM
  • seqadmin
    Recent Advances in Sequencing Technologies
    by seqadmin



    Innovations in next-generation sequencing technologies and techniques are driving more precise and comprehensive exploration of complex biological systems. Current advancements include improved accessibility for long-read sequencing and significant progress in single-cell and 3D genomics. This article explores some of the most impactful developments in the field over the past year.

    Long-Read Sequencing
    Long-read sequencing has seen remarkable advancements,...
    12-02-2024, 01:49 PM

ad_right_rmr

Collapse

News

Collapse

Topics Statistics Last Post
Started by seqadmin, 12-17-2024, 10:28 AM
0 responses
22 views
0 likes
Last Post seqadmin  
Started by seqadmin, 12-13-2024, 08:24 AM
0 responses
42 views
0 likes
Last Post seqadmin  
Started by seqadmin, 12-12-2024, 07:41 AM
0 responses
28 views
0 likes
Last Post seqadmin  
Started by seqadmin, 12-11-2024, 07:45 AM
0 responses
42 views
0 likes
Last Post seqadmin  
Working...
X