Single-cell genomics to guide human stem cell and tissue engineering

被引:0
作者
J. Gray Camp
Damian Wollny
Barbara Treutlein
机构
[1] Max Planck Institute for Evolutionary Anthropology,Department of Biosciences
[2] Max Planck Institute of Molecular Cell Biology and Genetics,undefined
[3] Technical University Munich,undefined
来源
Nature Methods | 2018年 / 15卷
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摘要
To understand human development and disease, as well as to regenerate damaged tissues, scientists are working to engineer certain cell types in vitro and to create 3D microenvironments in which cells behave physiologically. Single-cell genomics (SCG) technologies are being applied to primary human organs and to engineered cells and tissues to generate atlases of cell diversity in these systems at unparalleled resolution. Moving beyond atlases, SCG methods are powerful tools for gaining insight into the engineering and disease process. Here we discuss how scientists can use single-cell sequencing to optimize human cell and tissue engineering by measuring precision, detecting inefficiencies, and assessing accuracy. We also provide a perspective on how emerging SCG methods can be used to reverse-engineer human cells and tissues and unravel disease mechanisms.
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页码:661 / 667
页数:6
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共 148 条
  • [31] Shekhar K(2018)Batch effects in single-cell RNA-sequencing data are corrected by matching mutual nearest neighbors Nat. Biotechnol. 36 421-936
  • [32] Rosenberg AB(2017)Single-cell sequencing reveals dissociation-induced gene expression in tissue subpopulations Nat. Methods 14 935-270
  • [33] Bendall SC(2018)Alignment of single-cell trajectories to compare cellular expression dynamics Nat. Methods 15 267-145
  • [34] Villani AC(2015)Computational and analytical challenges in single-cell transcriptomics Nat. Rev. Genet. 16 133-915
  • [35] Pollen AA(2014)CellNet: network biology applied to stem cell engineering Cell 158 903-802
  • [36] Nowakowski TJ(2016)What’s luck got to do with it: single cells, multiple fates, and biological nondeterminism Mol. Cell 62 788-261
  • [37] Rozenblatt-Rosen O(2018)Bias, robustness and scalability in single-cell differential expression analysis Nat. Methods 15 255-395
  • [38] Stubbington MJT(2016)Dissecting direct reprogramming from fibroblast to neuron using single-cell RNA-seq Nature 534 391-2276
  • [39] Regev A(2017)Cell population structure prior to bifurcation predicts efficiency of directed differentiation in human induced pluripotent cells Proc. Natl. Acad. Sci. 114 2271-252
  • [40] Teichmann SA(2014)Efficient endoderm induction from human pluripotent stem cells by logically directing signals controlling lineage bifurcations Cell Stem Cell 14 237-40