[Simone78]

Simone,
First of all, thank you for having such an active role responding to questions on this forum, it is really great! Second, based on all the posted issues with superscript II and your comments on primescript, I am also interested in changing to this enzyme (Thank you wishingfly for posting the link). In your post above you said "performed the RT for 90 mins", does that mean that you did not include the PCR steps at 50 degrees when using Primescript? So instead you would perform the oligo dt annealing rxn at 72, assemble the RT reaction with all the same components except the new enzyme and buffer, and run a 42 degree PCR for 90 mins followed by 15min at 70 degrees. Does that sound correct?
Thank you in advance for all your help!

exactly, I used the same protocol that I generally use with the Superscript II, 90 min at 42, followed by the inactivation for 15 min at 70 degrees. The PCR is done afterwards with KAPA HiFi.
/Simone

[RDH]

Hi Simone,

I am curious if you know of any way to use UMIs with your Smart-seq2 protocol?

Thanks!

[Simone78]

Hi Simone,

I am curious if you know of any way to use UMIs with your Smart-seq2 protocol?

Thanks!

yes...sorry, not possible to give out further details
It doesn´t look very promising at the moment, at least with the approach I´m following

[jwfoley]

I am curious if you know of any way to use UMIs with your Smart-seq2 protocol?

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.

[Simone78]

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.

it´s obvious that UMIs with the standard Smart-seq2 are useless, unless you want to sequence either only the 3´or the 5´(STRT, CEL-seq and all the variants), but then you can follow those protocols from the beginning.
I wouldn´t just stick some NNNN into my TSO or oligodT and pretend it´s working and that I can count molecules!

[longwood]

it´s obvious that UMIs with the standard Smart-seq2 are useless, unless you want to sequence either only the 3´or the 5´(STRT, CEL-seq and all the variants), but then you can follow those protocols from the beginning.
I wouldn´t just stick some NNNN into my TSO or oligodT and pretend it´s working and that I can count molecules!

I'm still learning the ABCs of RNAseq analysis so pardon me if I sound ignorant but if the goal is quantitative accuracy of gene expression (to the extent that the 5' end of an mRNA faithfully reports this), adding UMIs to the TSO and following the standard Smart-seq2 protocol should work, right? I'm assuming the TSO is not messed up somehow by the extra few bases. This will of course yield more data than just 5' reads, so if one wishes to look at spliceforms, etc., that data would also be there to analyze (with obviously less quantitative accuracy). I would love to know if there's a major flaw in the UMI+Smart-seq2 approach if one wishes to simply compare gene expression among cells with greater quantitative accuracy. Thanks!

[AVRL]

I'm not sure if any of you have seen this?http://www.fluidigm.com/home/fluidig...-6199%20A1.pdf
We have just released a Single Cell mRNAseq protocol for the C1 system. It utilises the SMARTer chemistry but miniaturises it making it much cheaper.

Has anyone here used the C1 system on methanol fixed cells? Or is it just not possible?

Thanks
Alice

[Simone78]

I'm still learning the ABCs of RNAseq analysis so pardon me if I sound ignorant but if the goal is quantitative accuracy of gene expression (to the extent that the 5' end of an mRNA faithfully reports this), adding UMIs to the TSO and following the standard Smart-seq2 protocol should work, right? I'm assuming the TSO is not messed up somehow by the extra few bases. This will of course yield more data than just 5' reads, so if one wishes to look at spliceforms, etc., that data would also be there to analyze (with obviously less quantitative accuracy). I would love to know if there's a major flaw in the UMI+Smart-seq2 approach if one wishes to simply compare gene expression among cells with greater quantitative accuracy. Thanks!

In principle, I don´t see any problem with adding UMIs to the Smart-seq2 oligos. However, please keep in mind that the length and the base composition of the oligos do affect the final results. there is (at least) a paper about it (http://www.ncbi.nlm.nih.gov/pubmed/24392002). Once you have designed your oligos then you can go ahead like as if you were doing the standard Smart-seq2 protocol. The problem comes with the tagmentation: as you know, you´ll be able to count only the most 5´(or 3´ if you put the UMIs on the oligodT) piece of your transcripts. The internal fragments don´t have a UMI and will be impossible to keep track of the PCR bias. Of course, the more PCR cycles you do after tagmentation (necessary if you start from picograms of cDNA for the tagmentation) the higher the bias and the more difficult to find a relation between "non-UMI fragments" and "UMI-fragments", so to speak. Or, at least, this is what I think. Please correct me if I am wrong!
/Simone

[Kneu]

Primescript

exactly, I used the same protocol that I generally use with the Superscript II, 90 min at 42, followed by the inactivation for 15 min at 70 degrees. The PCR is done afterwards with KAPA HiFi.
/Simone

In the recent past I successfully got single cell RNAseq data with the Smartseq2 protocol, but I was using the Superscript III RT enzyme. I was unaware of the decreased template switching capacity, and since reading these posts I am trying to change my RT enzyme for improved cDNA yield. With 5’ bio oligos, and superscript II I did see improved amplification, but I had the same contamination reported earlier (lot # 1685467). So I switched to the recommended Primescript from Clontech. Unfortunately, when my bioanalyzer results came back there was no amplification. Has anyone had recent success with this enzyme? I am trying to figure out what I could have done wrong. Briefly: I performed the oligodt annealing reaction at 72c for 3 mins, transferred to ice. Then set up the RT mix with Primescript, primescript buffer, RNase inhibitor, DTT, Betaine, MgCl2 and TSO. The RT reaction was 90min at 42c, 15min at 70c and then 4c back to ice. The only thing I changed in the Preamp PCR was to increase the ISPCR oligo to [.25um], since it now has the 5’ bio, and I performed 20, 21 and 22 preamp cycles. Even my 100 cells well did not show any amplification, and I have not had trouble with this cell population in the past. Does anyone have ideas of what could have gone wrong? Wishingfly, have you gotten results back with Primescript yet?
Thanks in advance!

[amolinaro]

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

[bagnall.lab]

In the recent past I successfully got single cell RNAseq data with the Smartseq2 protocol, but I was using the Superscript III RT enzyme. I was unaware of the decreased template switching capacity, and since reading these posts I am trying to change my RT enzyme for improved cDNA yield. With 5’ bio oligos, and superscript II I did see improved amplification, but I had the same contamination reported earlier (lot # 1685467). So I switched to the recommended Primescript from Clontech. Unfortunately, when my bioanalyzer results came back there was no amplification. Has anyone had recent success with this enzyme? I am trying to figure out what I could have done wrong. Briefly: I performed the oligodt annealing reaction at 72c for 3 mins, transferred to ice. Then set up the RT mix with Primescript, primescript buffer, RNase inhibitor, DTT, Betaine, MgCl2 and TSO. The RT reaction was 90min at 42c, 15min at 70c and then 4c back to ice. The only thing I changed in the Preamp PCR was to increase the ISPCR oligo to [.25um], since it now has the 5’ bio, and I performed 20, 21 and 22 preamp cycles. Even my 100 cells well did not show any amplification, and I have not had trouble with this cell population in the past. Does anyone have ideas of what could have gone wrong? Wishingfly, have you gotten results back with Primescript yet?
Thanks in advance!

We had zero luck with prime script for our work, NEB and SuperScript IV seem to be much better in our hands.

[SunPenguin]

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?

[Simone78]

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?

Hi,
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

[longwood]

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!

[Simone78]

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!

The original Nextera kit from Epicentre was reporting the conc of the oligos. In that kit they were using the i5 + i7 pairs (0.5 uM final) and other 2, the "PPC" mix (PCR Primer cocktail, which I think Illumina still has in the Nextera kit for input up to 50 ng). The PPC had a conc 20 times higher, that is 10 uM)
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.