I did not perform Fragmentation for my 1st FFPE sample. Now I am thinking I may need do to do that to narrow the insert size ...
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RNA size range as yours - but with a sligthly higher peak ~200 nt. How do you purify the library after amplification? Using MiniElute will give you some "primer-dimer" contamination. We are using AMPure XP but you may need to play around with the bead ratio to get rid of the "primer-dimer" without removing too much of the library. Have you considered gel purification?Originally posted by HedleyC View PostJakob, I have been involved in a piece of work trying to do the same thing - but we just got massive adapter contamination in the final data. What size range was your FFPE RNA peak after RiboZero GOLD but before the ScriptSeq? Ours was between 25-500bp approximately, peak generally around 100.
Regards,
Hedley
/Jakob
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Hi Jakob,Originally posted by JakobHedegaard View PostRNA size range as yours - but with a sligthly higher peak ~200 nt. How do you purify the library after amplification? Using MiniElute will give you some "primer-dimer" contamination. We are using AMPure XP but you may need to play around with the bead ratio to get rid of the "primer-dimer" without removing too much of the library. Have you considered gel purification?
/Jakob
The ScriptSeq and later steps were performed by a 3rd party. They used AMPure XP, but it's unclear if they used the right bead ratio to minimise carry-through of the adapter dimers (I suspect not). We are doing some repeat work and also looking at another FFPE kit, so if I find out anything useful, will post it here at some point.
/Hedley
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@ServiceXS, we obtained enough (>500 ng total RNA) purifiying from 2-3 sections from a FPFE block. For Ribo-Zero we started with 500 ng total RNA but have prepared libraries with 100 ng RNA - but with more variation in quality and yield.
@woodydon, using Ribo-Zero will result in a much more complex library than using poly-dA selected RNA. Depending on the sample conditions (tissue, stage, etc.) some transcripts can dominate the profile - and this applies to both poly-dA and Ribo-Zero treated RNA. Analysing data from Ribo-Zero treated RNA, I think the major challenge is the profiling of both mature and pre-spliced transcripts which introduce some kind of bias.
Cheers, /Jakob
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@ServiceXS, we obtained enough (>500 ng total RNA) purifiying from 2-3 sections from a FPFE block. For Ribo-Zero we started with 500 ng total RNA but have prepared libraries with 100 ng RNA - but with more variation in quality and yield.
@woodydon, using Ribo-Zero will result in a much more complex library than using poly-dA selected RNA. Depending on the sample conditions (tissue, stage, etc.) some transcripts can dominate the profile - and this applies to both poly-dA and Ribo-Zero treated RNA. Analysing data from Ribo-Zero treated RNA, I think the major challenge is the profiling of both mature and pre-spliced transcripts which introduce some kind of bias.
Cheers, /Jakob
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by GATTACATLove this - good data definitely starts from good input, and poor input can only give relatively poor data. I particularly like the mention of Nanodrop/absorbance based methods for quantification. It's such a toss up if you'll get an accurate reading or what amounts to a randomly generated number, and a lot of library/sequencing related issues can be traced back to poor quant.
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07-01-2026, 11:43 AM -
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by SEQadmin2
I’m not a sequencing expert. I’m a purification scientist who uses NGS to evaluate workflows my group develops. With this perspective, we think about the sample first and the NGS workflow second. The sequencer is an exceptionally honest reporter, but it can only report on what you give it, so whether you get clean, interpretable data from an NGS workflow is largely determined before you begin.
Here are nine questions we think about, in roughly the order they matter, before...-
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