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Sökning: WFRF:(Reik W.)

  • Resultat 1-7 av 7
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1.
  • Rajewsky, N., et al. (författare)
  • LifeTime and improving European healthcare through cell-based interceptive medicine
  • 2020
  • Ingår i: Nature. - : Springer Nature. - 0028-0836 .- 1476-4687. ; 587:7834, s. 377-386
  • Tidskriftsartikel (refereegranskat)abstract
    • LifeTime aims to track, understand and target human cells during the onset and progression of complex diseases and their response to therapy at single-cell resolution. This mission will be implemented through the development and integration of single-cell multi-omics and imaging, artificial intelligence and patient-derived experimental disease models during progression from health to disease. Analysis of such large molecular and clinical datasets will discover molecular mechanisms, create predictive computational models of disease progression, and reveal new drug targets and therapies. Timely detection and interception of disease embedded in an ethical and patient-centered vision will be achieved through interactions across academia, hospitals, patient-associations, health data management systems and industry. Applying this strategy to key medical challenges in cancer, neurological, infectious, chronic inflammatory and cardiovascular diseases at the single-cell level will usher in cell-based interceptive medicine in Europe over the next decade.
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  • Regev, A, et al. (författare)
  • The Human Cell Atlas
  • 2017
  • Ingår i: eLife. - : ELIFE SCIENCES PUBLICATIONS LTD. - 2050-084X. ; 6
  • Tidskriftsartikel (refereegranskat)
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  • Lohoff, T., et al. (författare)
  • Integration of spatial and single-cell transcriptomic data elucidates mouse organogenesis
  • 2022
  • Ingår i: Nature Biotechnology. - : Springer Science and Business Media LLC. - 1087-0156 .- 1546-1696. ; 40, s. 74-85
  • Tidskriftsartikel (refereegranskat)abstract
    • Molecular profiling of single cells has advanced our knowledge of the molecular basis of development. However, current approaches mostly rely on dissociating cells from tissues, thereby losing the crucial spatial context of regulatory processes. Here, we apply an image-based single-cell transcriptomics method, sequential fluorescence in situ hybridization (seqFISH), to detect mRNAs for 387 target genes in tissue sections of mouse embryos at the 8–12 somite stage. By integrating spatial context and multiplexed transcriptional measurements with two single-cell transcriptome atlases, we characterize cell types across the embryo and demonstrate that spatially resolved expression of genes not profiled by seqFISH can be imputed. We use this high-resolution spatial map to characterize fundamental steps in the patterning of the midbrain–hindbrain boundary (MHB) and the developing gut tube. We uncover axes of cell differentiation that are not apparent from single-cell RNA-sequencing (scRNA-seq) data, such as early dorsal–ventral separation of esophageal and tracheal progenitor populations in the gut tube. Our method provides an approach for studying cell fate decisions in complex tissues and development. © 2021, The Author(s).
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  • Resultat 1-7 av 7

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