Literature DB >> 35532275

Characterizing RNA Modifications in Single Neurons Using Mass Spectrometry.

Kevin D Clark1, Stanislav S Rubakhin1, Jonathan V Sweedler2.   

Abstract

Post-transcriptional modifications (PTMs) of RNA represent an understudied mechanism involved in the regulation of translation in the central nervous system (CNS). Recent evidence has linked specific neuronal RNA modifications to learning and memory paradigms. Unfortunately, conventional methods for the detection of these epitranscriptomic features are only capable of characterizing highly abundant RNA modifications in bulk tissues, precluding the assessment of unique PTM profiles that may exist for individual neurons within the activated behavioral circuits. In this protocol, an approach is described-single-neuron RNA modification analysis by mass spectrometry (SNRMA-MS)-to simultaneously detect and quantify numerous modified ribonucleosides in single neurons. The approach is validated using individual neurons of the marine mollusk, Aplysia californica, beginning with surgical isolation and enzymatic treatment of major CNS ganglia to expose neuron cell bodies, followed by manual single-neuron isolation using sharp needles and a micropipette. Next, mechanical and thermal treatment of the sample in a small volume of buffer is done to liberate RNA from an individual cell for subsequent RNA digestion. Modified nucleosides are then identified and quantified using an optimized liquid chromatography-mass spectrometry method. SNRMA-MS is employed to establish RNA modification patterns for single, identified neurons from A. californica that have known morphologies and functions. Examples of qualitative and quantitative SNRMA-MS are presented that highlight the heterogeneous distribution of RNA modifications across individual neurons in neuronal networks.

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Year:  2022        PMID: 35532275      PMCID: PMC9116202          DOI: 10.3791/63940

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.424


  38 in total

1.  Analysis of gene expression in single live neurons.

Authors:  J Eberwine; H Yeh; K Miyashiro; Y Cao; S Nair; R Finnell; M Zettel; P Coleman
Journal:  Proc Natl Acad Sci U S A       Date:  1992-04-01       Impact factor: 11.205

2.  tRNA tKUUU, tQUUG, and tEUUC wobble position modifications fine-tune protein translation by promoting ribosome A-site binding.

Authors:  Vanessa Anissa Nathalie Rezgui; Kshitiz Tyagi; Namit Ranjan; Andrey L Konevega; Joerg Mittelstaet; Marina V Rodnina; Matthias Peter; Patrick G A Pedrioli
Journal:  Proc Natl Acad Sci U S A       Date:  2013-07-08       Impact factor: 11.205

3.  The RNA degradosome promotes tRNA quality control through clearance of hypomodified tRNA.

Authors:  Satoshi Kimura; Matthew K Waldor
Journal:  Proc Natl Acad Sci U S A       Date:  2019-01-08       Impact factor: 11.205

4.  The Effects of Ultraviolet Radiation on Nucleoside Modifications in RNA.

Authors:  Congliang Sun; Manasses Jora; Beulah Solivio; Patrick A Limbach; Balasubrahmanyam Addepalli
Journal:  ACS Chem Biol       Date:  2018-02-05       Impact factor: 5.100

5.  Identified cholinergic neurons R2 and LPl1 control mucus release in Aplysia.

Authors:  S G Rayport; R T Ambron; J Babiarz
Journal:  J Neurophysiol       Date:  1983-04       Impact factor: 2.714

6.  Identification and Quantification of Modified Nucleosides in Saccharomyces cerevisiae mRNAs.

Authors:  Mehmet Tardu; Joshua D Jones; Robert T Kennedy; Qishan Lin; Kristin S Koutmou
Journal:  ACS Chem Biol       Date:  2019-06-25       Impact factor: 5.100

7.  Loss of m1acp3Ψ Ribosomal RNA Modification Is a Major Feature of Cancer.

Authors:  Artem Babaian; Katharina Rothe; Dylan Girodat; Igor Minia; Sara Djondovic; Miha Milek; Sandra E Spencer Miko; Hans-Joachim Wieden; Markus Landthaler; Gregg B Morin; Dixie L Mager
Journal:  Cell Rep       Date:  2020-05-05       Impact factor: 9.423

8.  Region-specific RNA m6A methylation represents a new layer of control in the gene regulatory network in the mouse brain.

Authors:  Mengqi Chang; Hongyi Lv; Weilong Zhang; Chunhui Ma; Xue He; Shunli Zhao; Zhi-Wei Zhang; Yi-Xin Zeng; Shuhui Song; Yamei Niu; Wei-Min Tong
Journal:  Open Biol       Date:  2017-09       Impact factor: 6.411

9.  MODOMICS: a database of RNA modification pathways. 2017 update.

Authors:  Pietro Boccaletto; Magdalena A Machnicka; Elzbieta Purta; Pawel Piatkowski; Blazej Baginski; Tomasz K Wirecki; Valérie de Crécy-Lagard; Robert Ross; Patrick A Limbach; Annika Kotter; Mark Helm; Janusz M Bujnicki
Journal:  Nucleic Acids Res       Date:  2018-01-04       Impact factor: 16.971

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