Welcome to scNL! A network bringing together researchers interested in single-cell experimental and computational methods as well as their applications
Calling all researchers interested in developing better tools for understanding cellular dynamics across time in single cell experiments. We’re hosting the Oz Single Cell Hackathon 9-10 Dec in Sydney. Fill out EOI before 10 Oct! Travel awards available https://t.co/o66qfO7AfC
Excited to contribute to the landmark @biorxivpreprint article led by @eportacangen that benchmarks four different #spatial#transcriptomics platforms: VISIUM, VISIUM CytAssist, Xenium @10xGenomics, and CosMx @nanostringtech. Pros and cons, select the best for your study! Or combine them !
Comparison of spatial transcriptomics technologies across six cancer types | bioRxiv
doi: https://t.co/nByB24jACN
Great job opportunity at @nyscf! https://t.co/HdHt0f5HuE Join the comp bio team to leverage the power of stem cells to find cures for major diseases. If you value challenging and collaborative projects this position might be a good fit for you. Work visa sponsorship possible
Super excited about this collab. We will bring together unique model system with single-cell sequencing to get a handle on how environmental factors impact development. Funding opportunities via the EIPOD program https://t.co/gRjFEk4eNy
✂️Splice splice baby!✂️
New paper just out in @CellStemCell integrating @nanopore long read single-cell isoform mapping into our broader genotype-phenotype vision for clonal mosaicism !
https://t.co/2VmlsWiOGG
Great work by @yogeshgoyallab @arjunrajlab et al: diverse cell types can emerge from single-cell-derived melanoma cancer cells upon treatment as a result of intrinsic differences in molecular expression preceding drug exposure #scRNAseq#barcoding#FateMap
https://t.co/E04atUj714
Amazing work! Among others, combined RNA export with genetic barcoding and sequencing to non-destructively monitor cell population dynamics. Big congrats to the authors! @FelixHorns@ElowitzLab
Want to sequence RNA from cells without killing them or deliver RNA programs from cell to cell? Today in Cell, we present RNA exporters, which package and secrete cellular RNA, for non-destructively monitoring cell dynamics by sequencing and delivering RNA https://t.co/JG1mzYvLgb
Quantify gene expression variability at single-cell resolution in cell state space with our VarID2 method coming out in @GenomeBiology. Magnificent work by @ReynaERosales with great support from our collaborators Jasmin Rettkowski and @Nina_CabezasW. 🧵👇
Creativity evolves in science. The first few projects typically involve working on someone else’s idea or making small advancements, but then novel ideas start to come and the real fun begins.
Excited to share Storm (https://t.co/jQ3uHGeVGz) for transient dynamics in gene-cell specific kinetics & RNA velocity via metabolic labeling augmented scRNA-seq. Kudos to Qiangwei from Tiejun Li's lab! Storm extended dynamo & will be incorporated in v1.4: https://t.co/dO2p7HGyjC
Interested in the future of single-cell biology? 🔮 Check this inspiring perspective from leading researchers in the field, including
@IdoAmitLab and @SItzkovitz.
https://t.co/UNbLRbbp5H
Do you work in stem cell/regenerative biology and have developed a new method to analyze single-cell data, created a useful data base or want to review your favorite tools? Submit your manuscript to this Research Topic in Frontiers in Bioinformatics https://t.co/DlFM4RByZ0
That's a wrap for #singlecellgenomicsday 2023! Thanks to our amazing speakers, and to all of you for tuning in!
Its a privilege to celebrate the state of the field for the 7th year in a row, and we look forward to seeing you next year!
(And thanks @ATJCagan for illustrating!)
It was great to be presenting our work @scNL4 annual meeting last Thursday. Thanks to the organisers for setting up this great conference. Looking forward to the next editions already.
@ahmedElkoussy@LUMC_Leiden