![]() |
|
![]() |
||||
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 |
![]() |
#41 |
Junior Member
Location: San Diego, USA Join Date: Jul 2014
Posts: 2
|
![]()
Hi Simone,
I have been using your Smart2-seq protocol on single mouse neurons. Based on Bioanalyzer and Fluidigm Biomark with 96 primers looks promising to move forward for sequencing. I wonder whether you have used ERCC as a internal controls, if so what concentration works best in your hands for single cell. I curious to know, (since Linnarsson is in your neighbourhood) have you tested your TSO with UMI for smart2-seq. If so, what is your experience.... Best, Suguna |
![]() |
![]() |
![]() |
#42 |
Member
Location: SF Bay Area Join Date: Feb 2012
Posts: 62
|
![]()
From the discussions i've had with C1 users, Spike-ins for single cell are unfortunately very cell-type specific - you want to maintain a 3-5% amount of external RNA to cellular RNA, but the amount of cellular RNA (and lysis efficiency) varies between cell types and even between cells. For practical purposes, though, two papers both used a 40,000 dilution from the Ambion product on the C1.
If your cells aren't too rare, you can try to calculate an average RNA mass from bulk. If they are, you may have to do a test run or two to get the ratio right. The good news is that the ERCCs are useful once you get them spiked into your cells ; you can compare the technical variability of ERCCs to that of the measured transcripts/genes to separate biological variability from random noise and calibrate to how much mRNA was present in each cell. Another (slightly off-label) use is also determining the efficiency of reverse transcription. |
![]() |
![]() |
![]() |
#43 |
Junior Member
Location: San Diego, USA Join Date: Jul 2014
Posts: 2
|
![]()
Thanks jparson for your reply.
I have used C1 with ERCC dilution you have mentioned above. C1 works best for cultured cells in terms of capturing almost 80-90% of the wells. It is cost effective and more cells to analyze. Whenever I load my primary cells on C1, only 40-50% of the cell get captured. so my cost of prep is high. In addition to that you cannot use different experimental conditions in the same chip. Unless you have two many C1 machines. That is the one of the reasons I moved to alternate manual methods. With Smart2seq, I could able to FACS different cell types and experimental conditions on the same day. Since I want to take advantage of ERCC, I want to know what would be the ideal ERCC concentration for single cell sorting conditions.. Now I am using 10 Million final dilution per reaction. I wonder whether this would be enough.... Based on Simone's bioanalyzer profile I could nt say whether he used ERCC's and I dont know how he determines his RT effieciency in different cells run at the same experiemental conditions or how to determine the technical variation across different samples... Best, Suguna |
![]() |
![]() |
![]() |
#44 | ||
Senior Member
Location: Basel (Switzerland) Join Date: Oct 2010
Posts: 208
|
![]() Quote:
For "big" cells (cells in culture: MEF, HEK293T, C2C12, P19, HeLa, etc) we use 0.1 ul of a 1:40000 dil., which gives a final conc in RT of 1:4 million. However, when working with extremely small cells (T-cells, for example) we are using a 1:40 million dil., which is still too high because we get 5-10% (!) reads from the spike-ins in the end. Maybe 1:100 million is the right conc? Again, as parsons said, there other factors that play a role: lysis efficiency, intracellular variability, cell cycle stage, how "stressed" your cells are, lysis buffer you are using, etc etc Quote:
Best, Simone |
||
![]() |
![]() |
![]() |
#45 |
Member
Location: Leeds Join Date: Jan 2010
Posts: 13
|
![]()
Hi,
For those of you using ERCC spikes in your single cell RNAseq on the C1, do you have examples of bioanalyser traces for negative controls? (i.e. capture sites with no cells in). We are trying to see what a negative control should look like as the ERCC spikes will be amplified so should show on the trace regardless. |
![]() |
![]() |
![]() |
#46 | |
Senior Member
Location: Stanford Join Date: Jun 2009
Posts: 181
|
![]() Quote:
|
|
![]() |
![]() |
![]() |
#47 |
Junior Member
Location: San Francisco, Ca Join Date: Mar 2013
Posts: 9
|
![]()
Hi Simone,
Thanks very much for all of your comments and recommendations in this thread. I am working to test/optimize the Smart-seq2 protocol for a Tcell application and am wondering how you blocked your TSOs. You mentioned iso-nucleotides earlier on in this thread. Is this what you were referring to? iso-dG: http://www.idtdna.com/site/catalog/m...s/product/2188 iso-dC: http://www.idtdna.com/site/catalog/m...s/product/2187 description: http://www.idtdna.com/Site/Catalog/M...ons/Category/7 I have little experience with such nucleotides in the past. Is the idea that iso-dG and 5Me-iso-dC pair with each other and not with regular A,C,G,T, thus the RT stops when it comes across an iso-dC or -dG because its counterpart does not exist in the dNTP mix? Is concatemerization prevented then by obstructing the RT before it can add another round of untemplated Cs after the copying the TSO? Best, Dan Last edited by dtm2451; 07-30-2014 at 10:30 AM. |
![]() |
![]() |
![]() |
#48 |
Senior Member
Location: Stanford Join Date: Jun 2009
Posts: 181
|
![]()
There is an extended discussion about oligo blocking on previous pages in this thread. Other groups are using 5' biotin as a cheaper way of doing the same thing, but it sounds like you understand the principle. See doi:10.1186/1471-2164-11-413 for more.
|
![]() |
![]() |
![]() |
#49 |
Junior Member
Location: San Francisco, Ca Join Date: Mar 2013
Posts: 9
|
![]()
Thank you jwfoley. I am actually thinking of trying both and testing biotin vs. iso vs. unblocked. But, I'm not sure how to get an oligo with both iso and LNA. Looking back, you actually mentioned this issue before. Were you able to find a place to order an LNA-iso combo or did you switch to biotin and avoid the issue? If not, has anyone else been able to order an oligo containing both locked and iso nucleotides? And if so, where from?
|
![]() |
![]() |
![]() |
#50 |
Senior Member
Location: Stanford Join Date: Jun 2009
Posts: 181
|
![]()
No, I never tried iso because biotin completely eliminated the hedgehog in my tests. However, if you talk to Exiqon's sales reps, they seem flexible about ordering things that are "off the menu" (since they apparently just subcontract their orders out to companies like IDT anyway).
|
![]() |
![]() |
![]() |
#51 | |
Senior Member
Location: Basel (Switzerland) Join Date: Oct 2010
Posts: 208
|
![]() Quote:
|
|
![]() |
![]() |
![]() |
#52 |
Junior Member
Location: Netherlands Join Date: Jan 2013
Posts: 5
|
![]()
Did somebody ever use the Ampure purification in between the 1st strand synthesis and cDNA amplification in the SMARTseq2 protocol? (like Clontech has standard in it's ultra-low protocol)
|
![]() |
![]() |
![]() |
#53 |
Junior Member
Location: Guangzhou, China Join Date: Jan 2013
Posts: 4
|
![]()
We already got C1 and run twice. cDNA harvested from C1 was around 0.2~0.5 ng/ul and we basically got 13ul for each sample. The libraries for single cell samples run well on Miseq and we get 3M reads per sample when we pooled 6 per run.
|
![]() |
![]() |
![]() |
#54 |
Member
Location: U.S Join Date: Oct 2008
Posts: 76
|
![]()
Is anyone quantitating the amount (ng) of the total RNA in your samples prior to using these single cell kits? Is it necessary for these kits, especially the Fluidigm?
|
![]() |
![]() |
![]() |
#55 |
Member
Location: NC Join Date: Sep 2012
Posts: 24
|
![]()
Hi seqgirl,
I use a rough estimation from the bioanalyzer (the Qbit minimum RNA amount is too high for such low quantities); if you have single cells RNA, I don't think there is any way to quantify it (or even get the RNA tracks w/ the bioanalyzer). Guy |
![]() |
![]() |
![]() |
#56 |
Jafar Jabbari
Location: Melbourne Join Date: Jan 2013
Posts: 1,238
|
![]()
If these kits are being used for low input, it is a good idea to QC input RNA because kits are expensive. When using single-cells in C1 it is physically impossible to QC RNA and the approach is to check success after harvesting amplifid cDNA. The same goes if single-cells are processed manually.
|
![]() |
![]() |
![]() |
#57 |
Member
Location: US Join Date: Mar 2009
Posts: 15
|
![]()
Does everyone here do cell-sorting and cDNA synthesis on the same day? has anyone here tried to use pre-frozen sorted single cell with SMARTSeq protocol?
We tried but only a very few of reactions worked so far. Wanted to know where we can troubleshooting. Really appreciate your input. Thanks |
![]() |
![]() |
![]() |
#58 | |
Junior Member
Location: Paris Join Date: Aug 2011
Posts: 2
|
![]() Quote:
![]() The procedure takes 5 hours - librairies are oriented. It works on Eurcaryotes. There are actually 3 methods depending on the goal of the project. One is based only OligodT and you would see only 5% of reads with rRNA. |
|
![]() |
![]() |
![]() |
#59 | |
Junior Member
Location: CA Join Date: Oct 2014
Posts: 2
|
![]() Quote:
|
|
![]() |
![]() |
![]() |
#60 |
Junior Member
Location: CA Join Date: Oct 2014
Posts: 2
|
![]()
Hello all, thanks for all your thoughts here. It's helpful.
Just curious about how well your bioanalyzer traces correlate with actual sequencing data. With our samples, we can't see much of a correlation. For example, in the attached pdf, sample D2 appears to have some concatamer and that sample mapped poorly to mouse genome (8%) and we detected very few genes (less than 200). Sample C8 seems to have a higher amount of product (between 500 and 10,000 bp) and concatemer. But this sample mapped 50% to mouse genome, and we we detected almost 5000 genes. Sample G5 has no concatamer, primer dimer (at ~100 bp), and noticeable product, but had 14% mapping and 600 genes detected. In short, we cant seem to find a correlation between what we observe on the bioanalyzer trace and what were seeing with sequencing, at least by mapping % and genes detected. Were actually considering skipping bioanalyzer since sequencing costs on a miSeq for 96 samples (~$1000) is about equal to two Bioanalyzer chips (11 samples per chip) anyway. Anyone have any thoughts on this? Thanks. |
![]() |
![]() |
![]() |
Thread Tools | |
|
|