Rezultati pretraživanja
  1. 4. velj

    Single-cell transcriptomic atlas of the human retina identifies cell types associated with age-related macular degeneration Fig. Single-cell transcriptomic analysis reveals human retina diversity | Ref:

    Single-cell transcriptomic analysis reveals human retina diversity. a Study design and sample preparation. Postmortem human retinas were enzymatically dissociated and single-cells were isolated. cDNA single-cell libraries were generated and sequenced. We profiled 20,091 cells across the retinas of three normal individuals using a droplet-based microfluidics scRNA-seq platform. b Sketch of retina cross-section showing
  2. 3. velj

    Single-cell genomic approaches for developing the next generation of immunotherapies. | ⁦ by ⁦ Ref:

    challenges in understanding the cellular effects of immunotherapies
    Single-cell analysis as an engine for driving drug development
  3. 3. velj

    Great News & Views from on a recent paper describing how enabled successful treatment of a patient with DRESS, a rare and severe adverse drug reaction 👇

  4. 1. velj

    Metabolic landscape of the tumor microenvironment at single cell resolution. Fig. Landscape of metabolic gene expression at single-cell level. Ref:

  5. 30. sij

    Chromatin mapping and single-cell immune profiling define the temporal dynamics of ibrutinib response in CLL Fig. Multi-omics analysis of ibrutinib time courses reveals broad changes among immune cells

  6. 29. sij

    Multiomic projection of MPALs into hematopoiesis identifies normal and leukemic programs. Ref:

  7. 29. sij

    Single-cell multiomic analysis identifies regulatory programs in mixed-phenotype acute leukemia. Ref:

  8. 28. sij

    Three methods for gene-expression profiling have now been combined to produce spatially defined single-cell maps of developing human organs from limited sample material, overcoming a major hurdle in studying human development. Ref:

  9. 6. sij

    Morning 2020! Our latest work is out in , using transfer learning from prior refs to improve scRNA-seq clustering. Massive kudos to Bettina, as well as Nico, Marina, Prof Muller, and .

    Prikaži ovu nit
  10. 13. pro 2019.

    Kidney papers keep on coming! Distinct transcriptomic signatures associated with various kidney vascular beds (in particular glom capillaries) compared to lungs, liver, and heart vasculature. cc

  11. Using single-cell technologies to map the human immune system — implications for nephrology | Nature Reviews Nephrology

  12. 30. stu 2019.

    Our work on assessing reproducibility and variability across human kidney derived from multiple iPSC lines using is finally out in Many thanks to my wonderful coauthors and mentors

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  13. 20. stu 2019.

    Spatial reconstruction from scRNAseq obtained on dissociated tissues | | Nikolaus Rajewsky & Nir Friedman | Nature

  14. Identification of microglia states in the human brain during homeostasis and disease using and

  15. 18. stu 2019.

    Harmony : Integration of multiple scRNAseq datasets | | Ilya Korsunsky & Soumya Raychaudhuri | Nature Methods

  16. 7. stu 2019.

    This was written by a scientist () who may never have come across single-cell RNA sequencing, but should be read by anyone who cares about ... (but by no means limited to)

  17. 14. lis 2019.
  18. 11. lis 2019.

    All great projects have humble beginnings. Throwback to early 2017 going to collect our first sample for

  19. 10. lis 2019.

    A new comprehensive review article summarizes the cutting-edge technologies for studying the interactions between tumor cells and the immune system. Read the full article:

  20. 9. lis 2019.

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