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Thread | Thread Starter | Forum | Replies | Last Post |
insert sizes for RNA-seq | luc | RNA Sequencing | 6 | 08-13-2014 11:07 AM |
Chip-seq tags of unequal length - is this a problem for macs? | feralBiologist | Bioinformatics | 1 | 01-16-2014 09:24 AM |
Group sizes in RNA-seq DE | moriah | Bioinformatics | 2 | 08-13-2012 02:23 PM |
How many reads are acceptable from an RNA seq experiment | pettervikman | Bioinformatics | 23 | 02-09-2012 05:45 AM |
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#1 |
Junior Member
Location: NYC Join Date: Oct 2014
Posts: 2
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Background:
I want to find differentially expressed genes between wild type (WT) and knockout (KO) mice of mixed background using RNA-seq (Illumina HiSeq, 50M reads standard at my core). There will be anywhere between 1-4 KO and 1-4 WT animals per litter. Because it is difficult to isolate enough cells from one animal, I need to pool cells from WT littermates and KO littermates. I need 2 animals minimum, but 3 and up is preferable. My thinking is that each litter will be one biological replicate, and I plan to sequence RNA from 3-5 litters (3-5 biological replicates). Because the number of KO vs. WT animals within a litter varies, I may have more of one genotype than the other. Question: If I had this scenario: Bio rep 1: Pool of 3 WT and Pool of 2 KO Bio rep 2: Pool of 2 WT and Pool of 2 KO Bio rep 3: Pool of 2 WT and Pool of 4 KO ...or any combination thereof, would this be a statistically poor design? Should I keep the number of animals in each pool constant for all biological replicates? Only within biological replicates? Another consideration: Will this be representative of only one mating cage? Cost/time is limited to maybe one time on the sequencer, two chips. |
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#2 |
Devon Ryan
Location: Freiburg, Germany Join Date: Jul 2011
Posts: 3,480
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In the age of single-cell RNAseq, there's little remaining reason to pool multiple samples like that.
BTW, I'm glad you're taking litter into account. A lot of people don't do that and then their results end up being do to a litter effect. |
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#3 |
Junior Member
Location: NYC Join Date: Oct 2014
Posts: 2
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So you're saying what exactly? Pool size doesn't matter? Keep pool size equal at the minimum of 2 and the sequencing can take care of the rest?
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#4 |
Devon Ryan
Location: Freiburg, Germany Join Date: Jul 2011
Posts: 3,480
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I'm saying pooling is a last resort. Try to find someone local doing single-cell sequencing and you'll be able to both increase your N and eliminate pooling in one go.
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Tags |
dge, gene expression profiling, knockout, pooled samples, statistical design |
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