Literature DB >> 33804539

Fast and Efficient 5'P Degradome Library Preparation for Analysis of Co-Translational Decay in Arabidopsis.

Marie-Christine Carpentier1,2, Cécile Bousquet-Antonelli1,2, Rémy Merret1,2.   

Abstract

The recent development of high-throughput technologies based on RNA sequencing has allowed a better description of the role of post-transcriptional regulation in gene expression. In particular, the development of degradome approaches based on the capture of 5'monophosphate decay intermediates allows the discovery of a new decay pathway called co-translational mRNA decay. Thanks to these approaches, ribosome dynamics could now be revealed by analysis of 5'P reads accumulation. However, library preparation could be difficult to set-up for non-specialists. Here, we present a fast and efficient 5'P degradome library preparation for Arabidopsis samples. Our protocol was designed without commercial kit and gel purification and can be easily done in one working day. We demonstrated the robustness and the reproducibility of our protocol. Finally, we present the bioinformatic reads-outs necessary to assess library quality control.

Entities:  

Keywords:  5′-3′ degradation; 5′P; Arabidopsis; GMUCT; degradome; mRNA turnover

Year:  2021        PMID: 33804539      PMCID: PMC7998949          DOI: 10.3390/plants10030466

Source DB:  PubMed          Journal:  Plants (Basel)        ISSN: 2223-7747


  24 in total

1.  Global Analysis of Truncated RNA Ends Reveals New Insights into Ribosome Stalling in Plants.

Authors:  Cheng-Yu Hou; Wen-Chi Lee; Hsiao-Chun Chou; Ai-Ping Chen; Shu-Jen Chou; Ho-Ming Chen
Journal:  Plant Cell       Date:  2016-10-14       Impact factor: 11.277

2.  Widespread Exon Junction Complex Footprints in the RNA Degradome Mark mRNA Degradation before Steady State Translation.

Authors:  Wen-Chi Lee; Bo-Han Hou; Cheng-Yu Hou; Shu-Ming Tsao; Ping Kao; Ho-Ming Chen
Journal:  Plant Cell       Date:  2020-01-27       Impact factor: 11.277

3.  Improved computational analysis of ribosome dynamics from 5'P degradome data using fivepseq.

Authors:  Lilit Nersisyan; Maria Ropat; Vicent Pelechano
Journal:  NAR Genom Bioinform       Date:  2020-11-24

4.  Graph-based genome alignment and genotyping with HISAT2 and HISAT-genotype.

Authors:  Daehwan Kim; Joseph M Paggi; Chanhee Park; Christopher Bennett; Steven L Salzberg
Journal:  Nat Biotechnol       Date:  2019-08-02       Impact factor: 54.908

5.  Monitoring of XRN4 Targets Reveals the Importance of Cotranslational Decay during Arabidopsis Development.

Authors:  Marie-Christine Carpentier; Jean-Marc Deragon; Viviane Jean; Seng Hour Vichet Be; Cécile Bousquet-Antonelli; Rémy Merret
Journal:  Plant Physiol       Date:  2020-09-10       Impact factor: 8.340

6.  Endogenous siRNA and miRNA targets identified by sequencing of the Arabidopsis degradome.

Authors:  Charles Addo-Quaye; Tifani W Eshoo; David P Bartel; Michael J Axtell
Journal:  Curr Biol       Date:  2008-05-08       Impact factor: 10.834

7.  Beyond cleaved small RNA targets: unraveling the complexity of plant RNA degradome data.

Authors:  Cheng-Yu Hou; Ming-Tsung Wu; Shin-Hua Lu; Yue-Ie Hsing; Ho-Ming Chen
Journal:  BMC Genomics       Date:  2014-01-10       Impact factor: 3.969

8.  RNA degradomes reveal substrates and importance for dark and nitrogen stress responses of Arabidopsis XRN4.

Authors:  Vinay K Nagarajan; Patrick M Kukulich; Bryan von Hagel; Pamela J Green
Journal:  Nucleic Acids Res       Date:  2019-09-26       Impact factor: 16.971

9.  A functional connection between translation elongation and protein folding at the ribosome exit tunnel in Saccharomyces cerevisiae.

Authors:  Olga Rodríguez-Galán; Juan J García-Gómez; Iván V Rosado; Wu Wei; Alfonso Méndez-Godoy; Benjamin Pillet; Alisa Alekseenko; Lars M Steinmetz; Vicent Pelechano; Dieter Kressler; Jesús de la Cruz
Journal:  Nucleic Acids Res       Date:  2020-12-16       Impact factor: 16.971

10.  Co-translational mRNA decay in Saccharomyces cerevisiae.

Authors:  Wenqian Hu; Thomas J Sweet; Sangpen Chamnongpol; Kristian E Baker; Jeff Coller
Journal:  Nature       Date:  2009-08-23       Impact factor: 49.962

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