We have seen it but can’t explain it. What’s different about this particular sample?
Your true HTO signal still seem high enough so demultiplexing should be fine.
@scrna_seq question: I labelled six samples with @BioLegend hashtag antibodies for @10xGenomics scRNA-seq. I see high background with one of my hashtags (6) and I'm not sure why. Samples were labelled separately with hashtags, washed 3 times, and flow sorted before pooling.
I think we can officially stop writing "the recent advent of single cell RNA sequencing." Come on! We are all tenured by now. #scRNA_seq#biology#Bioinformatics
Super thrilled to share our @shirley_liau@suoqin_jin@ycchen_tw @stef_nedelec @YiHsienSu1 latest research: we look into individual spinal motor neurons during development by @scRNA_seq and report rare cell types with genetic markers and compare cell type diversity across species
(2/2) Big congratulations to @MathieuBakhoum, who spearheaded the study and is now starting his lab @YaleMed and our very talented @EthanEarlie who led insightful #scRNA_seq analysis. Watch out for him on the #gradschool market this year!
Kudos to Zhaohui Chen and colleagues - profiling the heterogeneity of bladder carcinoma microenvironment using #scRNA_seq.
Interactively explore these #singlecell datasets in BBrowser: bit.ly/3y1sZaA
Using #scRNA_seq, He et al. 2020 identified a novel fibroblast subpopulation and enrichment of immune subsets in atopic dermatitis, being one of the most downloaded datasets in BBrowser.
Check it out: bit.ly/3dwZaXZ
Combining #scRNA_seq, #TCRseq and computational analysis, @elhamazizi and colleagues provided an immune map of breast cancer that points to continuous T cell activation and differentiation states.
Check out these most downloaded datasets in BBrowser: bit.ly/3xuVD45
Using time series #scRNA_seq and computational modeling, @killian_hurley and colleagues mapped the fate of developing human alveolar cells and revealed expanded developmental potential.
Interactively explore these datasets in BBrowser: bit.ly/3ca64lq
Combining #scRNA_seq, #CITE_seq, and #CyTOF analyses; Fernandez, @ChiaraGiannare1 et al. revealed distinct features of T cells and macrophages in carotid artery plaques associated with stroke or ischemia.
Check out these datasets in BBrowser: bit.ly/3i6mEXa
Check out this work by Yiwen Lu et al. 2020 using #scRNA_seq to reveal a distinct ICOSL B cell subset that emerged in the breast tumors after chemotherapy and elicited anti-tumor T cell immunity.
Explore these #singlecell datasets in BBrowser: bit.ly/3sIQB16
Using #scRNA_seq and multiplex proteomics, Bangert et al. identified disease-linked immune cells in resolved atopic dermatitis, facilitating a rapid response system. Check out this #singlecell dataset in BBrowser: bit.ly/32wZS1z
Combining #scRNA_seq and proteomics, Rindler, @Tkrausgruber et al. revealed a distinct activation pattern in melanocytes and immune cells of spontaneously healed Atopic dermatitis compared with healthy skin.
Check out these datasets in BBrowser: bit.ly/3ddmRFg
Using #scRNA_seq, @matteoclaudio84 and colleagues at @Uni_WUE identified TNFRSF17 gene deletion in #multiplemyeloma as an underlying mechanism of immune escape in anti-BCMA CAR-T cell treatment.
Interactively explore this dataset in BBrowser: bit.ly/3c2cKCk