![]() |
|
![]() |
||||
Thread | Thread Starter | Forum | Replies | Last Post |
RNA-Seq: HITS-CLIP: panoramic views of protein-RNA regulation in living cells. | Newsbot! | Literature Watch | 1 | 09-11-2015 12:48 AM |
RNA-Seq: RNA-sequence analysis of human B-cells. | Newsbot! | Literature Watch | 0 | 05-04-2011 03:50 AM |
RNA-Seq: RNA-Seq Analysis of Sulfur-Deprived Chlamydomonas Cells Reveals Aspects of A | Newsbot! | Literature Watch | 0 | 07-01-2010 03:40 AM |
RNA-Seq: Transcriptome and targetome analysis in MIR155 expressing cells using RNA-se | Newsbot! | Literature Watch | 0 | 06-30-2010 03:00 AM |
RNA seq libraries from few hundred cells | artem.men | Sample Prep / Library Generation | 2 | 03-02-2010 05:04 PM |
![]() |
|
Thread Tools |
![]() |
#121 | |
Senior Member
Location: Basel (Switzerland) Join Date: Oct 2010
Posts: 208
|
![]() Quote:
/Simone |
|
![]() |
![]() |
![]() |
#122 |
Junior Member
Location: Seattle Join Date: Jul 2015
Posts: 1
|
![]()
Hi Simone,
I am curious if you know of any way to use UMIs with your Smart-seq2 protocol? Thanks! |
![]() |
![]() |
![]() |
#123 |
Senior Member
Location: Basel (Switzerland) Join Date: Oct 2010
Posts: 208
|
![]() |
![]() |
![]() |
![]() |
#124 |
Senior Member
Location: Stanford Join Date: Jun 2009
Posts: 181
|
![]()
The problem is that preamplification is done before cDNA fragmentation, so your library has already been through PCR before there are even distinct fragments to label. However, if your goal is quantitative accuracy, you can use UMIs with end-targeted digital gene expression profiling rather than transcriptome resequencing, e.g. doi:10.1038/nmeth.2772. That's a bit off-topic for this thread but I can tell you more by private message if you're interested.
|
![]() |
![]() |
![]() |
#125 | |
Senior Member
Location: Basel (Switzerland) Join Date: Oct 2010
Posts: 208
|
![]() Quote:
I wouldn´t just stick some NNNN into my TSO or oligodT and pretend it´s working and that I can count molecules! ![]() |
|
![]() |
![]() |
![]() |
#126 | |
Junior Member
Location: Massachusetts Join Date: May 2014
Posts: 5
|
![]() Quote:
|
|
![]() |
![]() |
![]() |
#127 | |
Junior Member
Location: Leeds, UK Join Date: Jul 2015
Posts: 1
|
![]() Quote:
Thanks Alice |
|
![]() |
![]() |
![]() |
#128 | |
Senior Member
Location: Basel (Switzerland) Join Date: Oct 2010
Posts: 208
|
![]() Quote:
![]() /Simone |
|
![]() |
![]() |
![]() |
#129 | |
Junior Member
Location: Chicago Join Date: Jun 2015
Posts: 2
|
![]() Quote:
Thanks in advance! |
|
![]() |
![]() |
![]() |
#130 |
Junior Member
Location: Toronto, Canada Join Date: Jun 2015
Posts: 3
|
![]()
Hi all,
I recently ran a small single cell RNAseq pilot experiment using smart-seq2 & the results look very promising. The only problem is that I'm getting anywhere from 45%-85% rRNA for each cell...this makes it difficult to study population heterogeneity since, when I exclude the rRNA reads, my depth drops substantially & I'm worried that many genes have been missed. Any ideas why I'm pulling out so much rRNA even with the oligo-dT primer? Any recommendations on how to deplete the rRNA in single cells? Thanks! Alyssa |
![]() |
![]() |
![]() |
#131 | |
Junior Member
Location: US Join Date: Jun 2015
Posts: 6
|
![]() Quote:
|
|
![]() |
![]() |
![]() |
#132 |
Member
Location: Boston Join Date: Aug 2015
Posts: 38
|
![]()
Hi Simone, et al.,
I found this thread via google...and it's been a life saver. I'm pretty new to doing TS protocols, and the info here is great. Recently, I've been trying to use the Smart-seq (Smarter and smart-seq2) on low RNA input. I'm actually trying to sequence a few particular transcripts (so I'm not using OligodT). With the low input, it would seem that I'm getting a lot of concatemer after preamp... I've read somewhere on here that it may help to reduce primer/TSO concentration, but also reducing TSO concentration would reduce cDNA yield. Anyone ever had the similar issues? |
![]() |
![]() |
![]() |
#133 | |
Senior Member
Location: Basel (Switzerland) Join Date: Oct 2010
Posts: 208
|
![]() Quote:
yes, I had similar issues when working with immune cells. I noticed that decreasing the TSO leads to lower yield and I wouldn´t do that, but reducing the ISPCR primer and oligodT (for the Smart-seq2 protocol) helps a bit, but it´s not the solution. Instead, use biotinylated primers (a biotin group at the 5´-end), which should prevent the formation of concatamers and primer dimers. An alternative approach would be to add 3 iso-nucleotides at the 5´end of your TSO, as described in PMID:20598146. Good luck! /Simone |
|
![]() |
![]() |
![]() |
#134 |
Junior Member
Location: Massachusetts Join Date: May 2014
Posts: 5
|
![]()
Has anyone tried using homebrew barcodes for multiplexing? Or just ordered the oligos (as listed in the Illumina Customer Sequence Letter) from an oligo vendor instead of ordering the expensive index kits from Illumina? I would love to know what modifications are necessary and how well this approach works compared to the Illumina kit. I intend to sequence my libraries using the HiSeq 2500 platform. I need >300 barcodes and the illumnia kit costs >$3000. Would love to save some money here if possible. Thanks all!
|
![]() |
![]() |
![]() |
#135 | |
Senior Member
Location: Basel (Switzerland) Join Date: Oct 2010
Posts: 208
|
![]() Quote:
Briefly I can tell you that: - I took the oligos from the Illumina website, ordered them from another vendor and used in the same ratio 20:1. The Illumina oligos have a phosphorothioate bond between the last 2 nucleotides at the 3´end (to make them resistant to nucleases) but I think they also have some kind of blocking group at the 5´end. Mine were not blocked but they worked well anyway. However, when tagmenting picogram or sub-picogram inputs of DNA the huge excess of unused primers led to a massive accumulation of dimers that could not removed with the bead purification. I guess that was due to the fact that they were not blcoked. Result: many reads were just coming from the adaptors. A solution would be to titrate the amount of primers to your input DNA. - If you plan to use the Nextera XT kit (that is: start from <1 ng DNA for tagmentation) you can dilute your adaptors 1:5 (at least) and you won´t see any difference. In this way the index kit becomes very affordable and you don´t have to care about dimers in your prep. If you, in parallel, also scale down the volume of your tagmentation reaction (20 ul for a Nextera XT kit is a huge waste!), the amount of index primers decreases even more. Even without liquid handling robots you can easily (easily) perform a tagmentation reaction in 2 ul (5 ul final volume after PCR). Your kit will last 20 times longer and your primers...even 100 times longer! I am currently using this strategy with the 384-index kit from Illumina, where I buy the 4 set of 96 primers each, dilute them and put them in a 384-well "index plate", ready to use on our liquid handling robot. |
|
![]() |
![]() |
![]() |
#136 |
Jafar Jabbari
Location: Melbourne Join Date: Jan 2013
Posts: 1,238
|
![]()
To supplement above post, a logical look at Nextera and Nextera XT workflow indicates that XT index 1 primers (S5XX) have a biotin or other moiety at 5’ end. It serves both 5’ end blocking and normalisation by binding to limited number of streptavidin (or other depending on moiety) coated beads to normalise the DNA mass. Concentration of S5XX, N5XX and N7XX are similar when run on small RNA Chip. Nextera XT PCR is done with S5 and N7 only but to compensate for 50x more DNA input in Nextera they add PPC oligos which are complement of flow cell binding motives on adapters. This way the full adapter sequences are restored on tagmented fragments by N5 (S5), N7 primers and amplification mostly is done by PPC primers.
|
![]() |
![]() |
![]() |
#137 |
Junior Member
Location: Massachusetts Join Date: May 2014
Posts: 5
|
![]()
Extremely helpful information Simone78 and nucacidhunter! Thank you very much!
|
![]() |
![]() |
![]() |
#138 | |
Member
Location: Boston Join Date: Aug 2015
Posts: 38
|
![]() Quote:
In your experience, have you also seen whether time of elongation during RT also matter? Some people in my lab have extended the time at 42 to 3 hours...which seems could potentially result in more concatemers or weird priming. |
|
![]() |
![]() |
![]() |
#139 | |
Senior Member
Location: Basel (Switzerland) Join Date: Oct 2010
Posts: 208
|
![]() Quote:
/Simone |
|
![]() |
![]() |
![]() |
#140 |
Member
Location: Maryland Join Date: May 2011
Posts: 66
|
![]()
We would like to know anyone thinks our single-cell transcriptome results may be questionable due to the issue with superscript II that several people have raised. We've been using at least one of the SSII lots that have been questioned. I've attached cDNA traces (after Kapa amp). We are seeing sequence mapping percentages of 60-70% (for highly activated human lymphocytes) and 40-50% (for resting memory human lymphocytes).
Do people think there's likely to be a problem in our data? Clearly we're generating a bit of product that doesn't depend on templates coming from cells (see the "no cell" controls at right in the slide). Is there too much of that stuff? What do people think of mapping percentages 40-50% in the data? Thanks very much! Eli |
![]() |
![]() |
![]() |
Thread Tools | |
|
|