Literature DB >> 32015544

An optimized chemical-genetic method for cell-specific metabolic labeling of RNA.

Sarah Nainar1, Bonnie J Cuthbert2, Nathan M Lim1, Whitney E England1, Ke Ke1, Kanika Sophal3, Robert Quechol3, David L Mobley1,3, Celia W Goulding1,2, Robert C Spitale4,5,6.   

Abstract

Tissues and organs are composed of diverse cell types, which poses a major challenge for cell-type-specific profiling of gene expression. Current metabolic labeling methods rely on exogenous pyrimidine analogs that are only incorporated into RNA in cells expressing an exogenous enzyme. This approach assumes that off-target cells cannot incorporate these analogs. We disprove this assumption and identify and characterize the enzymatic pathways responsible for high background incorporation. We demonstrate that mammalian cells can incorporate uracil analogs and characterize the enzymatic pathways responsible for high background incorporation. To overcome these limitations, we developed a new small molecule-enzyme pair consisting of uridine/cytidine kinase 2 and 2'-azidouridine. We demonstrate that 2'-azidouridine is only incorporated in cells expressing uridine/cytidine kinase 2 and characterize selectivity mechanisms using molecular dynamics and X-ray crystallography. Furthermore, this pair can be used to purify and track RNA from specific cellular populations, making it ideal for high-resolution cell-specific RNA labeling. Overall, these results reveal new aspects of mammalian salvage pathways and serve as a new benchmark for designing, characterizing and evaluating methodologies for cell-specific labeling of biomolecules.

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Year:  2020        PMID: 32015544     DOI: 10.1038/s41592-019-0726-y

Source DB:  PubMed          Journal:  Nat Methods        ISSN: 1548-7091            Impact factor:   28.547


  13 in total

Review 1.  Interrogating the transcriptome with metabolically incorporated ribonucleosides.

Authors:  Ralph E Kleiner
Journal:  Mol Omics       Date:  2021-12-06

Review 2.  Covalent labeling of nucleic acids.

Authors:  Nils Klöcker; Florian P Weissenboeck; Andrea Rentmeister
Journal:  Chem Soc Rev       Date:  2020-10-21       Impact factor: 54.564

3.  Bioorthogonal chemistry-based RNA labeling technologies: evolution and current state.

Authors:  Jerrin Thomas George; Seergazhi G Srivatsan
Journal:  Chem Commun (Camb)       Date:  2020-10-07       Impact factor: 6.222

4.  Cell- and Polymerase-Selective Metabolic Labeling of Cellular RNA with 2'-Azidocytidine.

Authors:  Danyang Wang; Yu Zhang; Ralph E Kleiner
Journal:  J Am Chem Soc       Date:  2020-08-14       Impact factor: 15.419

Review 5.  New approaches to target RNA binding proteins.

Authors:  Ashley R Julio; Keriann M Backus
Journal:  Curr Opin Chem Biol       Date:  2021-01-31       Impact factor: 8.822

6.  In vivo 5-ethynyluridine (EU) labelling detects reduced transcription in Purkinje cell degeneration mouse mutants, but can itself induce neurodegeneration.

Authors:  Lisanne J Van't Sant; Joshua J White; Jan H J Hoeijmakers; Wilbert P Vermeij; Dick Jaarsma
Journal:  Acta Neuropathol Commun       Date:  2021-05-21       Impact factor: 7.801

7.  Identification of novel regulators of dendrite arborization using cell type-specific RNA metabolic labeling.

Authors:  Mohamed Y Aboukilila; Josephine D Sami; Jingtian Wang; Whitney England; Robert C Spitale; Michael D Cleary
Journal:  PLoS One       Date:  2020-12-02       Impact factor: 3.240

8.  Amine-to-Azide Conversion on Native RNA via Metal-Free Diazotransfer Opens New Avenues for RNA Manipulations.

Authors:  Olga A Krasheninina; Julia Thaler; Matthias D Erlacher; Ronald Micura
Journal:  Angew Chem Int Ed Engl       Date:  2021-02-18       Impact factor: 15.336

9.  A Bump-Hole Strategy for Increased Stringency of Cell-Specific Metabolic Labeling of RNA.

Authors:  Kim Nguyen; Miles Kubota; Jon Del Arco; Chao Feng; Monika Singha; Samantha Beasley; Jasmine Sakr; Sunil P Gandhi; Matthew Blurton-Jones; Jesus Fernández Lucas; Robert C Spitale
Journal:  ACS Chem Biol       Date:  2020-11-21       Impact factor: 5.100

10.  Metabolic RNA labeling for probing RNA dynamics in bacteria.

Authors:  Liying Meng; Yilan Guo; Qi Tang; Rongbing Huang; Yuchen Xie; Xing Chen
Journal:  Nucleic Acids Res       Date:  2020-12-16       Impact factor: 16.971

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