![]() |
|
![]() |
||||
Thread | Thread Starter | Forum | Replies | Last Post |
Library quantification: opinions? | krobison | Sample Prep / Library Generation | 41 | 06-23-2016 07:38 PM |
Library quantification | suludana | Illumina/Solexa | 22 | 10-24-2013 04:52 PM |
KAPABIOSYSTEM library quantification kits | elena.85 | Illumina/Solexa | 0 | 10-12-2011 06:07 AM |
Library Quantification Confusion! | peromhc | Sample Prep / Library Generation | 9 | 10-05-2011 08:18 AM |
3'UTR library or random primed cDNA library for quantification? | Rosanne82 | Sample Prep / Library Generation | 0 | 06-26-2009 06:27 AM |
![]() |
|
Thread Tools |
![]() |
#21 |
Senior Member
Location: Phoenix, AZ Join Date: Mar 2010
Posts: 279
|
![]()
Not sure if I'll just add to to the confusion but in my lab we QC each library and pool by Kapa QPCR, Qubit, and Bioanalyzer. The frustrating thing is that our 5nM pools created based on the library QPCR results calculated as follows in general:
Expected 5nM based on QPCR Directed Dilution Kapa QPCR - 5nM +/- 10% Qubit - 3.5nM Bioanalyzer - 2nM In the end our core likes to cluster based on bioanalyzer and typically hit their cluster density. When I asked them to cluster based on our QPCR, not surprisingly we ended up with around half the expected number of clusters (bad way to turn a V3 flowcell into a V1 flowcell). That being said you can see there is a trend between the assays and in my judgement I think they are all consistent but I don't think you can just cluster 10pM regardless of method. Instead if maybe 10pM by Bioanalyzer, 15pM by Qubit, and 20pM by QPCR to get the same number of clusters. One recommendation we are trying to implement was suggested by Heisman to use a known library that generated the target number of clusters and use that as a control with each QC run. |
![]() |
![]() |
![]() |
#22 |
Member
Location: Indo Join Date: Oct 2011
Posts: 20
|
![]()
Thank you Jon_Keats,
I am relieved by reading your post,as I am not the only one facing such issues. Would appreciate if any of the members would like to give their insight to understand the possible reasons behind such an observation!! e.g.After pico green estimation we dilute the libraries to 2nM conc. and then use this dilution for qPCR.Ideally we should get less than 2nM conc. by qPCR estimation but normally its higher i.e. around 2.3-2.5nM.Now if we use the exact conc. estimated by qPCR for clustering the flow cell,we would use less i.e. below 10pM assuming the cluster density should be appropriate but we end up under clustering!! Could it be due to primer or adapter dimers that gives the false conc. by sybr green qPCR assay?? |
![]() |
![]() |
![]() |
#23 |
Senior Member
Location: Purdue University, West Lafayette, Indiana Join Date: Aug 2008
Posts: 2,317
|
![]()
Adapter dimers in your library will produce signal proportional to their length, not just their molarity, using SYBR green qPCR. But that would have the effect of qPCR underestimating your sample's molarity, not overestimating.
Pico Green fluorimetry is insensitive to single stranded molecules. So if 10-20% of your library is ssDNA, it would explain your results. Also EtBr (and probably other fluors) would tend to through your results off. A sample taken directly off a PippinPrep and read with a fluorimeter gave a completely aberrant emission spectrum such that we had to remove the residual EtBr before we could get a concentration. Lower levels of EtBr might confound fluorimetry, or qPCR, to a variable extent. -- Phillip |
![]() |
![]() |
![]() |
#24 |
Member
Location: San Diego Join Date: Sep 2010
Posts: 26
|
![]()
I agree with Jon Keats on his qPCR thoughts.
1. qPCR is completely dependant on your standards, and your dilution of the standards. 2. qPCR is also dependant on your dilution of your samples. If you mess up either of those...everything falls apart. It is all too easy to make ths smallest error in diluting samples for qPCR...I have done it many times. Make sure you are working in a clean area...ie no libraries from other experiments flying around and getting into your current samples. Also, having calibrated pipets and a clean water source are a plus. I always use qPCR to quant for clustering...why? -In order for something to cluster, it must be a complete piece of library...ie, it must have the adapters ligated on both ends. The only metric that will tell you how much of your library has adapters is qPCR. All of the other methods tell you total DNA...which is not exactly what you want to know. Also, depending on the size distribution of your library, one can get different results. If your qPCR standards are not the same length as your library...you will get "off" results. One last point about qPCR standards: If you didn't make the standards yourself and test them on a flowcell, you will not be sure how a relative concentration, derived from the standards, will cluster. When we make standards we perform library prep, amplify the libraries, then qPCR with an existing set of standards (for which we know how it clusters). We always keep our standards rolling...as it were. |
![]() |
![]() |
![]() |
#25 |
Member
Location: Indo Join Date: Oct 2011
Posts: 20
|
![]()
Hi,
I am back with qPCR related problems. ![]() Recently,I encountered some very contradictory results!! ![]() I am using the 1:10 dilutions for qPCR standards.Everything seems to be correct..I am getting good R^2 value i.e. >0.998 with good Efficiency i.e.. above 90%.I am unable to figure out what could have resulted the 50% decrease in conc. Please help!! Thanks in advance.. |
![]() |
![]() |
![]() |
#26 |
Senior Member
Location: Bethesda MD Join Date: Oct 2009
Posts: 509
|
![]()
DNA adheres to most plastic tubes, and this becomes an issue at low concentrations. Adding detergent (e.g., 0.1% Tween-20) or using low-binding tubes solves the problem.
|
![]() |
![]() |
![]() |
#27 | |
Member
Location: Pittsburgh Join Date: Aug 2011
Posts: 72
|
![]() Quote:
![]() |
|
![]() |
![]() |
![]() |
#28 |
Member
Location: San Diego Join Date: Sep 2010
Posts: 26
|
![]()
Hi,
My initial thought is...if you are exactly 50% off...maybe you diluted wrong. If you were to see a gradual decrease in concentration, then I would say that your dilutions are getting old. Tubes are sticky, but I have had dilutions around for a while and have not had a problem. 1. Have you had successful cluster generation before? 2. How do you know it is half the concentration you think it is? 3. IF you are seeing this as cluster density, just cluster at a higher concentration, and as long as your standards do not "drift" then you should be fine. I have never used the Illumina PhiX control for qPCR quanting. What we did was to reverse engineer based on cluster density. We amplified 300bp library, purified, quantified using qubit or bioanalyzer, generated qPCR standards based on those quants, seeded a flowcell at increasing concentrations based on the qPCR results, picked concentration that gave us the cluster density we liked, then used that qPCR standard to quant the rest of our samples...that we seeded at the particular concentration we liked. I would assume that I do not cluster at the same concentration as anyone else, but I cluster where it works for me given the standard I use. Then, when you are running low on Standard, you PCR more 300bp library, and quantify using the first qPCR standard and make dilutions based on that...this way, you continue in a reproducible way. |
![]() |
![]() |
![]() |
#29 |
Member
Location: Indo Join Date: Oct 2011
Posts: 20
|
![]()
Thank you for your replies!!I appreciate...
First even I thought,my dilutions must have gone wrong so I repeated the whole experiment and got the same concentration for PhiX positive control as the first.I have repeated 3-4 times and I cannot get wrong each time. PhiX positive control is diluted in the same manner as i would dilute my sample library.I was performing these experiments as suggested in Kapa Library Quantification kits for illumina platform(1:10 dilutions).I use PhiX as standard instead of Kapa standard(as my Kapa stnd. kit was out of stock).I was getting consistent results (i.e. around 2nM)with the same protocol until the aliquots were made!! ![]() Then,i was suggested to repeat the expt. with Illumina protocol i.e. 1:2 dilution as well as Kapa protocol (1:10 dilution) in the same plate for comparative analysis. And to my surprise,the 1:2 dilution gave the right concentration of 2nM while 1:10 dilution was again consistent at 1nM.I did not know how to interpret these results. Can two different pattern of dilutions amplify differently? The aliquots were made in 0.1% Tween 20 but i am not sure about the tubes whether it is Lobind or not(There are no such specifications made). This made me think that there could be some DNA adherence,so the best thing I could think of was to vortex 2-3 tubes of 2nM PhiX aliquots vigorously for longer time and spin down..aliquot them in lobind tube and set up an assay again to see any change in concentration.And I could see the difference..the concentration rose upto 1.6-1.7nM. 1.Does this mean that DNA is showing some adherence? 2.If yes then why wasn't it detected in 1:2 dilution pattern? 3. Am I correct in vortexing and spinning down the DNA for prolonged time,will this make any difference? I have been unable to find some satisfying answers so look upon you guys for some expert and experienced opinions!! Thank you in advance... |
![]() |
![]() |
![]() |
#30 | |
Member
Location: Indo Join Date: Oct 2011
Posts: 20
|
![]() Quote:
We had also run a bianalyzer on phiX v3 which showed a wide range of insert length i.e from 440-630bp.Due to all these reasons we decided to pool down all the 10nM stocks into one, quantitate it by pico green and then dilute it to 2nM and make small aliquots to rule out the variations and also the minimize the freeze n thaw cycles. But only after this I am encountering the qPCR issues,still not sure what is the matter!! ![]() |
|
![]() |
![]() |
![]() |
#31 |
Member
Location: Indo Join Date: Oct 2011
Posts: 20
|
![]()
I too agree with SeqR&D,that would be the best method for clustering.I have also used Kapa illumina Kit and this too gives consistent results but they are so expensive,have to manage with PhiX until I get next one.
And these PhiX standards introduce so much variation..Dont know how to get it right!! ![]() |
![]() |
![]() |
![]() |
#32 | |
Member
Location: UK Join Date: Dec 2010
Posts: 23
|
![]() Quote:
Anna. |
|
![]() |
![]() |
![]() |
#33 |
Member
Location: Pittsburgh Join Date: Aug 2011
Posts: 72
|
![]()
I don't know what the "standards" are in the kapa library quantification kit. If you say they are phiX then they probably are. However, they are already diluted and you just pipette them into the wells (full proof). I assume each standard is heavily QC'd by kapa (or whoever owns them now). I am not sure if the phiX control that you can order from illumina is QC'd to the same standard. I haven't had any issues with the kapa kit since using it and we use it a lot.
|
![]() |
![]() |
![]() |
#34 |
Member
Location: Indo Join Date: Oct 2011
Posts: 20
|
![]()
Hi Shawpa,
Will the PhiX still show variation in qPCR,even if we have pooled all the lots of PhiX provided by Illumina and then the concentration adjusted to 2nM with the Picogreen?We have made small aliquots of this pooled 2nM stock of PhiX. We are still facing variation with the PhiX concentration in qPCR@20-35% range.Not sure if this is acceptable or not.Have anyone seen so much of variation in PhiX with every assay that is set up? Now Regarding the previous problem(concentration 50% off) that I was facing,it got resolved.I just changed to different tips (provided by another vendor). Now this made me think,don't know how much to rely on the different type of tips that we are using!! Any suggestions on tips? |
![]() |
![]() |
![]() |
#35 | |
Member
Location: Pittsburgh Join Date: Aug 2011
Posts: 72
|
![]() Quote:
|
|
![]() |
![]() |
![]() |
#36 |
Member
Location: Indo Join Date: Oct 2011
Posts: 20
|
![]()
Thanks shawpa
![]() |
![]() |
![]() |
![]() |
#37 |
Junior Member
Location: Japan Join Date: Oct 2011
Posts: 1
|
![]()
Many reserchers started using Kapa Library Quantification Kit. qPCR is good way to quantify, and Kapa LQ comes with the validated standard, which is very helpful.
|
![]() |
![]() |
![]() |
#38 |
Member
Location: Montana Join Date: Nov 2008
Posts: 21
|
![]()
+1 on the Kapa kit. All these methods are relative to some standard. Once you know what factor produces the desired clusters, the rest of the game is just consistency. We've started usuing fixed volume pipettors for doing the qPCR dilutions, then use the same pipette when going back to the library stock for the run. Another main source of variation we have identified is library size distribution. The best way to assess this is to use the "region" function in the bioanalyzer software to get the average size under the curve for the whole region you identify. Don't just take the highest peak average for the distribution. In libraries with "leaning" distributions, this is critical to get an accurate read on the concentration. In non-size-selected libraries, you're best off titrating the sample and hoping future samples follow the same distribution, otherwise it's a crapshoot every time.
|
![]() |
![]() |
![]() |
#39 | ||
Junior Member
Location: Boston Join Date: Jul 2012
Posts: 5
|
![]() Quote:
Quote:
Actually the DNA Standards used in the KAPA Library Quantification Kits aren't PhiX, nor are they sequencing libraries. Instead, we use a defined, pure, linear, dsDNA amplicon for each set of DNA Standards. This allows us to rigorously validate their efficiency and reproducibility for use as qPCR amplification standards. Because PhiX is a library, it is very difficult to manufacture reproducibly through multiple production lots and over extended periods of time. Before accepting a newly manufactured lot into our inventory, we use a stringent qPCR assay to compare each new lot of KAPA Library Quantification DNA standards to a reference set of standards during manufacturing and quality control. We compare Ct scores for each standard in a newly manufactured set with Ct scores in a reference set of standards, and we ensure that each standard lies within 0.1 Ct of the respective reference standard, and that the resulting standard curve lies on top of the reference standard curve. I hope this is helpful and thanks for the positive feedback! Chris Odom KAPA Biosystems Technical Support |
||
![]() |
![]() |
![]() |
#40 |
Member
Location: Indo Join Date: Oct 2011
Posts: 20
|
![]()
Thank you all for your informative replies
![]() And Thank you,Christopher Odom,very insightful!! |
![]() |
![]() |
![]() |
Thread Tools | |
|
|