| Literature DB >> 28139910 |
Kim Nguyen1, Michael Fazio1, Miles Kubota1, Sarah Nainar1, Chao Feng1, Xiang Li1, Scott X Atwood1, Timothy W Bredy1, Robert C Spitale1.
Abstract
Stringent chemical methods to profile RNA expression within discrete cellular populations remains a key challenge in biology. To address this issue, we developed a chemical-genetic strategy for metabolic labeling of RNA. Cell-specific labeling of RNA can be profiled and imaged using bioorthogonal chemistry. We anticipate that this platform will provide the community with a much-needed chemical toolset for cell-type specific profiling of cell-specific transcriptomes derived from complex biological systems.Mesh:
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Year: 2017 PMID: 28139910 DOI: 10.1021/jacs.6b11401
Source DB: PubMed Journal: J Am Chem Soc ISSN: 0002-7863 Impact factor: 15.419