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Technologies Enabling Single-Molecule Super-Resolution Imaging of mRNA.
Tingey, Mark; Schnell, Steven J; Yu, Wenlan; Saredy, Jason; Junod, Samuel; Patel, Dhrumil; Alkurdi, Abdullah A; Yang, Weidong.
  • Tingey M; Department of Biology, Temple University, Philadelphia, PA 19122, USA.
  • Schnell SJ; Department of Biology, Temple University, Philadelphia, PA 19122, USA.
  • Yu W; Department of Biology, Temple University, Philadelphia, PA 19122, USA.
  • Saredy J; Department of Biology, Temple University, Philadelphia, PA 19122, USA.
  • Junod S; Department of Biology, Temple University, Philadelphia, PA 19122, USA.
  • Patel D; Department of Biology, Temple University, Philadelphia, PA 19122, USA.
  • Alkurdi AA; Department of Biology, Temple University, Philadelphia, PA 19122, USA.
  • Yang W; Department of Biology, Temple University, Philadelphia, PA 19122, USA.
Cells ; 11(19)2022 09 30.
Article in English | MEDLINE | ID: covidwho-2065729
ABSTRACT
The transient nature of RNA has rendered it one of the more difficult biological targets for imaging. This difficulty stems both from the physical properties of RNA as well as the temporal constraints associated therewith. These concerns are further complicated by the difficulty in imaging endogenous RNA within a cell that has been transfected with a target sequence. These concerns, combined with traditional concerns associated with super-resolution light microscopy has made the imaging of this critical target difficult. Recent advances have provided researchers the tools to image endogenous RNA in live cells at both the cellular and single-molecule level. Here, we review techniques used for labeling and imaging RNA with special emphases on various labeling methods and a virtual 3D super-resolution imaging technique.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Imaging, Three-Dimensional / Single Molecule Imaging Language: English Year: 2022 Document Type: Article Affiliation country: Cells11193079

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Imaging, Three-Dimensional / Single Molecule Imaging Language: English Year: 2022 Document Type: Article Affiliation country: Cells11193079