Literature DB >> 29756767

Spatially Restricting Bioorthogonal Nucleoside Biosynthesis Enables Selective Metabolic Labeling of the Mitochondrial Transcriptome.

Kim Nguyen, Mahima B Aggarwal, Chao Feng, Gabriela Balderrama, Michael Fazio, Ali Mortazavi, Robert C Spitale.   

Abstract

The cellular RNA pool in animals arises from two separate genomes stored in the nucleus and multiple mitochondria. Chemical methods to track nascent RNA synthesis are unable to distinguish between these two with stringency. Herein, we report that spatially restricting bioorthogonal nucleoside biosynthesis enables, for the first time, selective metabolic labeling of the RNA transcribed in the mitochondria. We envision that this approach could open the door for heretofore-impossible analyses of mitochondrial RNA. Beyond our results revealed herein, our approach provides a roadmap for researchers to begin to design strategies to examine biomolecules within subcellular compartments.

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Year:  2018        PMID: 29756767      PMCID: PMC6234202          DOI: 10.1021/acschembio.8b00262

Source DB:  PubMed          Journal:  ACS Chem Biol        ISSN: 1554-8929            Impact factor:   5.100


  31 in total

1.  Isolation of biogenetically competent mitochondria from mammalian tissues and cultured cells.

Authors:  Erika Fernández-Vizarra; Manuel J López-Pérez; José A Enriquez
Journal:  Methods       Date:  2002-04       Impact factor: 3.608

2.  mRNA localization to the mitochondrial surface allows the efficient translocation inside the organelle of a nuclear recoded ATP6 protein.

Authors:  Valérie Kaltimbacher; Crystel Bonnet; Gaëlle Lecoeuvre; Valérie Forster; José-Alain Sahel; Marisol Corral-Debrinski
Journal:  RNA       Date:  2006-06-02       Impact factor: 4.942

Review 3.  Isolation and subfractionation of mitochondria from animal cells and tissue culture lines.

Authors:  Francesco Pallotti; Giorgio Lenaz
Journal:  Methods Cell Biol       Date:  2007       Impact factor: 1.441

4.  Isolation and functional analysis of mitochondria from cultured cells and mouse tissue.

Authors:  Thomas Lampl; Jo A Crum; Taylor A Davis; Carol Milligan; Victoria Del Gaizo Moore
Journal:  J Vis Exp       Date:  2015-03-23       Impact factor: 1.355

5.  Cell-Selective Bioorthogonal Metabolic Labeling of RNA.

Authors:  Kim Nguyen; Michael Fazio; Miles Kubota; Sarah Nainar; Chao Feng; Xiang Li; Scott X Atwood; Timothy W Bredy; Robert C Spitale
Journal:  J Am Chem Soc       Date:  2017-02-07       Impact factor: 15.419

6.  Uridine kinase activities and pyrimidine nucleoside phosphorylation in fluoropyrimidine-sensitive and -resistant cell lines of the Novikoff hepatoma.

Authors:  N Greenberg; D E Schumm; T E Webb
Journal:  Biochem J       Date:  1977-05-15       Impact factor: 3.857

7.  Mouse TU tagging: a chemical/genetic intersectional method for purifying cell type-specific nascent RNA.

Authors:  Leslie Gay; Michael R Miller; P Britten Ventura; Vidusha Devasthali; Zer Vue; Heather L Thompson; Sally Temple; Hui Zong; Michael D Cleary; Kryn Stankunas; Chris Q Doe
Journal:  Genes Dev       Date:  2013-01-01       Impact factor: 11.361

8.  Tracking Distinct RNA Populations Using Efficient and Reversible Covalent Chemistry.

Authors:  Erin E Duffy; Michael Rutenberg-Schoenberg; Catherine D Stark; Robert R Kitchen; Mark B Gerstein; Matthew D Simon
Journal:  Mol Cell       Date:  2015-09-03       Impact factor: 17.970

9.  Global profiling of stimulus-induced polyadenylation in cells using a poly(A) trap.

Authors:  Dusica Curanovic; Michael Cohen; Irtisha Singh; Christopher E Slagle; Christina S Leslie; Samie R Jaffrey
Journal:  Nat Chem Biol       Date:  2013-09-01       Impact factor: 15.040

10.  Systematic analysis of small RNAs associated with human mitochondria by deep sequencing: detailed analysis of mitochondrial associated miRNA.

Authors:  Lakshmi Sripada; Dhanendra Tomar; Paresh Prajapati; Rochika Singh; Arun Kumar Singh; Rajesh Singh
Journal:  PLoS One       Date:  2012-09-11       Impact factor: 3.240

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  3 in total

Review 1.  Interrogating the transcriptome with metabolically incorporated ribonucleosides.

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

2.  Metabolic Labeling of RNAs Uncovers Hidden Features and Dynamics of the Arabidopsis Transcriptome.

Authors:  Emese Xochitl Szabo; Philipp Reichert; Marie-Kristin Lehniger; Marilena Ohmer; Marcella de Francisco Amorim; Udo Gowik; Christian Schmitz-Linneweber; Sascha Laubinger
Journal:  Plant Cell       Date:  2020-02-14       Impact factor: 11.277

3.  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

  3 in total

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