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Single‐cell Resolution of Developing Tissues and Cell Identity Programming
Author(s) -
Wold Barbara J.
Publication year - 2018
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.2018.32.1_supplement.378.2
Subject(s) - encode , biology , computational biology , cell , embryo , cell type , epigenetics , rna seq , rna , cell fate determination , genetics , evolutionary biology , computer science , transcriptome , gene , gene expression , transcription factor
We are using multiple single‐cell methods and platforms to deconvolve embryo limb histogenesis, tracing cell type specification and differentiation of major resident and immigrating cell lineages. We also experimentally reprogram the identity networks of closely and distantly related starting cell types, combining and comparing results from RNA‐seq and seq‐FISH data. From the resulting data, we assemble cell comprehensive identity networks. We find substantial differences in expression‐signature saliencies in developing embryo systems that have implications for future single‐cell data uses and for the design of larger scale sc‐RNA atlases. Our embryo data are part of the ENCODE consortium project, and integration of the single cell RNA‐seq data with the companion ENCODE whole‐tissue atlas, including epigenetic data, are discussed. This abstract is from the Experimental Biology 2018 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .