We wondered what a side-to-side comparison between 3’ v3.1 & RNA Fix solution from @10xGenomics would look like? Well, we have WINNER!
I said it two #10Xperiences ago…this kit is by far the best these guys have ever produced yet! @afvallejop @JensDurruthy @DrJasPlummer @gmcderm ImageImage
And as my postdoc CompBio superstar @afvallejop said…one more for the road Image
One more… Image
@etrepo @STMLab_ULB this is what we need to discuss.

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More from @LGMartelotto

Nov 12, 2021
Ok, we did try @ParseBio SPLIT-Seq WT kit. We don’t have the data yet but workflow-wise it was super easy. I really liked the simplicity and that the kit comes with pretty much all you need. Totally manageable for anybody who has done 96-well work and multi-channel pipettes. 1/6
They also have a super easy to fill out Excel sheet that makes all the calculations for you. Peace of mind right there. If you counted your cells correctly then you are for a good start. 2/6
You DO need at least 3x more cells input to ensure you end up with the targeted numbers of cells at the end. Of course, viability and cell numbers before and after fixation is critical. 3/6
Read 6 tweets
Feb 3, 2020
Dear #singlecell global team (#scGT), it was a very inspiring week for #scQA. @hoheyn and I would like to THANK to the @cmcginnisUCSF for his comprehensive Tweetorial on #MultiSeq.

For the Feb3/2020 #scQA/#scQC Forum (w/@hoheyn &
@LGMartelotto) we'll discuss some #snATAC-Seq!
First a bit of history...

Assay for Transposase-Accessible Chromatin (ATAC-Seq) was originally published in in 2013 (@naturemethods PMID: 24097267) by @JD_Buenrostro in the labs of H. Chang and W. Greenleaf at @Stanford.
ATAC-Seq is a VERY efficient technique, and was quickly implemented at #singlecell level in 2015 by the same team (@nature PMID: 26083756). These are good reads and help understand why this method is so revolutionary.
Read 17 tweets

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