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#scrnaseq — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #scrnaseq, aggregated by home.social.

  1. Join us for a 2-part workshop on Mastering Reproducible Enrichment Analysis! 📊

    Presented by Anusuiya Bora and myself, with a focus on reproducibility and best practices.

    📅 When: 12 and 13 May 2026
    🕑 Time: 2:00 PM – 4:00 PM (AEST)
    📍 Where: Online
    💰 Cost: FREE for academic sector (places are limited!)

    🔗Registration form link: lnkd.in/gQcHggGF

    #Bioinformatics #RNAseq #scRNAseq #Genomics #ReproducibleResearch #OpenScience #RStats

  2. Join us for a 2-part workshop on Mastering Reproducible Enrichment Analysis! 📊

    Presented by Anusuiya Bora and myself, with a focus on reproducibility and best practices.

    📅 When: 12 and 13 May 2026
    🕑 Time: 2:00 PM – 4:00 PM (AEST)
    📍 Where: Online
    💰 Cost: FREE for academic sector (places are limited!)

    🔗Registration form link: lnkd.in/gQcHggGF

    #Bioinformatics #RNAseq #scRNAseq #Genomics #ReproducibleResearch #OpenScience #RStats

  3. Join us for a 2-part workshop on Mastering Reproducible Enrichment Analysis! 📊

    Presented by Anusuiya Bora and myself, with a focus on reproducibility and best practices.

    📅 When: 12 and 13 May 2026
    🕑 Time: 2:00 PM – 4:00 PM (AEST)
    📍 Where: Online
    💰 Cost: FREE for academic sector (places are limited!)

    🔗Registration form link: lnkd.in/gQcHggGF

    #Bioinformatics #RNAseq #scRNAseq #Genomics #ReproducibleResearch #OpenScience #RStats

  4. Join us for a 2-part workshop on Mastering Reproducible Enrichment Analysis! 📊

    Presented by Anusuiya Bora and myself, with a focus on reproducibility and best practices.

    📅 When: 12 and 13 May 2026
    🕑 Time: 2:00 PM – 4:00 PM (AEST)
    📍 Where: Online
    💰 Cost: FREE for academic sector (places are limited!)

    🔗Registration form link: lnkd.in/gQcHggGF

    #Bioinformatics #RNAseq #scRNAseq #Genomics #ReproducibleResearch #OpenScience #RStats

  5. Join us for a 2-part workshop on Mastering Reproducible Enrichment Analysis! 📊

    Presented by Anusuiya Bora and myself, with a focus on reproducibility and best practices.

    📅 When: 12 and 13 May 2026
    🕑 Time: 2:00 PM – 4:00 PM (AEST)
    📍 Where: Online
    💰 Cost: FREE for academic sector (places are limited!)

    🔗Registration form link: lnkd.in/gQcHggGF

    #Bioinformatics #RNAseq #scRNAseq #Genomics #ReproducibleResearch #OpenScience #RStats

  6. Aligning #scRNAseq datasets along a shared temporal axis across studies, species & systems is hard. This study uses meta-analytic models to develop a #transcriptomic measure of #neurodevelopmental timing that is applicable to different organisms & tissue types @PLOSBiology plos.io/4ch0XiX

  7. #NeuralStemCells (NSCs) & ependymal cells (ECs) are derived from #RadialGlialCells. This study uses #scRNAseq to characterize cell fate trajectories in the developing #VentricularZone, identifying TFEB as a regulator of the NSC/EPC balance @PLOSBiology plos.io/3HbrsJG

  8. How do #brain cells change over #evolution? @bentonlab compare #scRNAseq from ecologically distinct #drosophilid species to identify changes in composition & gene expression of different cell types, revealing higher divergence in #glia than #neurons @PLOSBiology plos.io/4js7Rms

  9. How does transcriptional patterning regulate #SalivaryGland #morphogenesis? Annabel May & @katjaroeper use #scRNAseq of early morphogenesis of the #Drosophila salivary gland placode to reveal regulation by induction & exclusion of regulatory factors @PLOSBiology plos.io/4cUw827

  10. "By using time-resolved analyses of scRNA-seq data, we determined the potential transitional trajectories of tumor cells and identified the metastasis-initiating subpopulations"

    link.springer.com/article/10.1

    Reading right now. The identification of cells that initiate #metastasis are of interest, although n=2 paired primary and #BoneMarrow samples may be a bit limited.

    #scRNAseq #tumour #Neuroblastoma #pseudotime

  11. Has anyone got references (or ideas/recommendations) for how to perform #data #augmentation on #scrnaseq data (to use in training #ann)?

    This is the only paper I could find, but maybe I am not searching for the right thing...

    ncbi.nlm.nih.gov/pmc/articles/

    #machinelearnig #biology

  12. ... specific functional expression programs correlated with fluctuations in various #Tcell subsets, which may be associated with #AML progression and relapse. Furthermore, our analysis of cellular communication networks led to the identification of #VISTA, #CD244, and #TIM3 as potential #immunotherapeutic targets in pediatric AML."

    pubmed.ncbi.nlm.nih.gov/388440

    Nice work by Yuan et al., using #scRNAseq and #scTCRseq. No huge discoveries, but of interest nonetheless.

    #science #cancer #immunology

  13. ... specific functional expression programs correlated with fluctuations in various #Tcell subsets, which may be associated with #AML progression and relapse. Furthermore, our analysis of cellular communication networks led to the identification of #VISTA, #CD244, and #TIM3 as potential #immunotherapeutic targets in pediatric AML."

    pubmed.ncbi.nlm.nih.gov/388440

    Nice work by Yuan et al., using #scRNAseq and #scTCRseq. No huge discoveries, but of interest nonetheless.

    #science #cancer #immunology

  14. ... specific functional expression programs correlated with fluctuations in various #Tcell subsets, which may be associated with #AML progression and relapse. Furthermore, our analysis of cellular communication networks led to the identification of #VISTA, #CD244, and #TIM3 as potential #immunotherapeutic targets in pediatric AML."

    pubmed.ncbi.nlm.nih.gov/388440

    Nice work by Yuan et al., using #scRNAseq and #scTCRseq. No huge discoveries, but of interest nonetheless.

    #science #cancer #immunology

  15. ... specific functional expression programs correlated with fluctuations in various #Tcell subsets, which may be associated with #AML progression and relapse. Furthermore, our analysis of cellular communication networks led to the identification of #VISTA, #CD244, and #TIM3 as potential #immunotherapeutic targets in pediatric AML."

    pubmed.ncbi.nlm.nih.gov/388440

    Nice work by Yuan et al., using #scRNAseq and #scTCRseq. No huge discoveries, but of interest nonetheless.

    #science #cancer #immunology

  16. ... specific functional expression programs correlated with fluctuations in various #Tcell subsets, which may be associated with #AML progression and relapse. Furthermore, our analysis of cellular communication networks led to the identification of #VISTA, #CD244, and #TIM3 as potential #immunotherapeutic targets in pediatric AML."

    pubmed.ncbi.nlm.nih.gov/388440

    Nice work by Yuan et al., using #scRNAseq and #scTCRseq. No huge discoveries, but of interest nonetheless.

    #science #cancer #immunology

  17. " The insights derived from this analysis do not only support a CD19 CAR T cell-mediated reset of the memory B cell compartment, but also the parallel inhibition of the interferon signature
    in #monocytes and #Tcells of #SLE patients"

    insight.jci.org/articles/view/

    Striking that this apparently works better in getting rid of certain memory #Bcells than anti-CD20 antibodies.

    #scRNAseq #TCR #carTcells #OpenAccess #science

  18. Surprised to see @Bioconductor methods missing from this preprint comparing and for . Not even a mention that Bioconductor is popular to analyze single cell data. Sometimes it is amazing what a company (10x genomics) recommending a OSS software can do to a community: biorxiv.org/content/10.1101/20

  19. @foaylward .mtx files are read by Matrix but @bioconductor has great packages and pipelines to analyse and data.

  20. Excited to share a new #preprint! This represents a truly gargantuan effort to profile #ImmuneCells across the human body as part of the #HumanCellAtlas network. Using multimodal profiling of single cells, we uncover tissue-directed and age-associated gene and protein signatures, which will help us understand features of healthy immune cell heterogenity across life!

    biorxiv.org/content/10.1101/20

    #scRNAseq #CITEseq #Multiomics #Immunology #TissueImmunity #Research

    🧵1/7

  21. I made a short video of the strange things UMAP and t-SNE can do to your data. The algorithms are shown mostly working as intended, yet with some surprising consequences.

    #umap #tsne #scrnaseq #wtf

    youtube.com/watch?v=gwqU9OoFwj

  22. Macrophages are essential immune cells that reside in all tissues. Some macrophages arise from monocytes in the blood, but during fetal development they also come from a unique pathway!

    We still have a lot to learn, but here I'll describe how Zhao et al. (2023) used mouse models to uncover hints about which progenitor cells create tissue-macrophages.

    doi.org/10.1016/j.celrep.2023.

    #Macrophages #MouseModel #Immunology #Immunity #scRNAseq #FlowCytometry #Research #JournalArticle #JournalClub

    1/9🧵

  23. Hello #scrnaseq wizards out there! Anyone can help answer this question?
    biostars.org/p/9578398/

    I'm happy with the #Seurat + #Signac pipeline but I'm not sure what to do and how to merge the two sets of data (#multiomics and #scRNAseq)

    #bioinformatics

  24. Great insights from Lior Pachter's computational biology class at Caltech! Check it out: t.co/4XVHwEZpZV. Topics selected have relevance in >=3 bio areas, with examples specifically from #scRNAseq. Homework blends theory with hands-on data exploration via #GoogleColab.

  25. Marius Lange #BC2basel: increasing complexity of #SingleCell data leads to problems of temporal, spatial and spatio-temporal mapping. The solution proposed is optimal transport applications, implemented in Moscot:
    moscot.readthedocs.io/en/lates
    biorxiv.org/content/10.1101/20 #SpatialTranscriptomics #scRNAseq