Top Tweets for #MULTIseq
🧬The #MultiSeq project receives a €150,000 #ERCPoC grant from the @ERC_Research to optimise #sequencing and explore market potential.
🔬With this project, the @gabaldonlab (Dr. @toni_gabaldon-#IRBBarcelona & @BSC_CNS) is exploring an innovative solution that minimises the time and cost of sequencing.
➡️https://t.co/GpVuqWksTn
#IRBScience
[1] Our method combines large fragment sorting of cellular communities (spheres from partially-dissociated tissues), lipid cell hashing (#MultiSeq) and #scRNASeq (#BDRhapsody).
Excited to share @CarineStapel and my #singlecell #singleorganoid time course of #gastruloid development. We reveal substantial inter-organoid heterogeneity, and show why understanding it is critical in #organoid #perturbation experiments. A #tweetorial (1/18)
Next, we used #MULTIseq to sequence individual gastruloids and show that they each have a strong bias towards producing either mesodermal or neural cell types. We ran PCA on the proportion of cells in each gastruloid from each cell type revealing a clear bifurcation (6/18)
If you want to know which sample multiplexing method for single-cell and -nuclei RNA-seq works the best - check our preprint on a comparison of different hashing methods! #hashing, #multiplexing, #scRNAseq, #singlecell, #TotalSeq, #MULTISeq, #CITEseq
https://t.co/MsT7ZFkGHk
Thrilled to see that our paper using MULTI-seq to compare transcriptional dynamics of the EMT across contexts is now up on @NatureComms. scRNA-seq of 12 EMT time courses (4 lines, 3 inducers) and screened effects of 22 kinase inhibitors on each combination https://t.co/Rb0RKV1Gsq
Another amazing use of #MultiSeq, answering a big question, highlighting issues with sample preps and other sample multiplexing approaches.
Hi #singlecell friends, I added a few more notes of the #MultiSeq lab notes and also the schematics including sequences (attached), https://t.co/v4KGPSeyBw. We + others tested replacing polyA by CS2 (Feature) and works fine, just note the primer changes for cDNA amp and indexing.
I need to RT this again after skimming through this ms...So impressed and excited about this tech!!!. It’ll pave the way for new type of #spatialtranscriptomics. So little time since #MultiSeq came out and BOOM, a new crazy adaptation! @Kenneth, dude, you rock! Kudos to the team!
OMG...#spatialtranscriptomics is getting cleverer by the minute! ZipSeq : Barcoding for Real-time Mapping of Single Cell Transcriptomes | bioRxiv https://t.co/U0sRTkUTcq
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!
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