Literature DB >> 12972639

Mathematical models of RNA silencing: unidirectional amplification limits accidental self-directed reactions.

Carl T Bergstrom1, Erin McKittrick, Rustom Antia.   

Abstract

RNA silencing, found broadly throughout the eukaryotes, posttranscriptionally suppresses the expression of "aberrant" genes including those of many viruses and transposons. Similar to the specific immune system of vertebrates, RNA silencing works by generating specific responses against foreign elements and rapidly amplifying these responses to clear or otherwise inactivate the threat. Also like the vertebrate immune system, RNA-silencing systems risk making mistakes and mounting undesirable responses against the self. We develop a set of mathematical models of RNA silencing. We show that current models of RNA silencing do little to explain what prevents mistaken reactions from silencing vital organismal genes. We extend the basic models to show that the presumed unidirectional nature of the amplification process (namely, unidirectional RNA-directed RNA polymerase-mediated synthesis of secondary double-stranded RNA as observed in Caenorhabditis elegans) serves as a "safety mechanism" that safeguards against accidental generation of damaging self-directed reactions.

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Year:  2003        PMID: 12972639      PMCID: PMC208789          DOI: 10.1073/pnas.1931639100

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  30 in total

1.  An RNA-directed nuclease mediates post-transcriptional gene silencing in Drosophila cells.

Authors:  S M Hammond; E Bernstein; D Beach; G J Hannon
Journal:  Nature       Date:  2000-03-16       Impact factor: 49.962

2.  RNAi: double-stranded RNA directs the ATP-dependent cleavage of mRNA at 21 to 23 nucleotide intervals.

Authors:  P D Zamore; T Tuschl; P A Sharp; D P Bartel
Journal:  Cell       Date:  2000-03-31       Impact factor: 41.582

Review 3.  Post-transcriptional gene-silencing: RNAs on the attack or on the defense?

Authors:  T Sijen; J M Kooter
Journal:  Bioessays       Date:  2000-06       Impact factor: 4.345

4.  The rde-1 gene, RNA interference, and transposon silencing in C. elegans.

Authors:  H Tabara; M Sarkissian; W G Kelly; J Fleenor; A Grishok; L Timmons; A Fire; C C Mello
Journal:  Cell       Date:  1999-10-15       Impact factor: 41.582

Review 5.  Gene silencing as an adaptive defence against viruses.

Authors:  P M Waterhouse; M B Wang; T Lough
Journal:  Nature       Date:  2001-06-14       Impact factor: 49.962

6.  RNA-directed transcriptional gene silencing in plants can be inherited independently of the RNA trigger and requires Met1 for maintenance.

Authors:  L Jones; F Ratcliff; D C Baulcombe
Journal:  Curr Biol       Date:  2001-05-15       Impact factor: 10.834

7.  Transcriptional silencing and promoter methylation triggered by double-stranded RNA.

Authors:  M F Mette; W Aufsatz; J van der Winden; M A Matzke; A J Matzke
Journal:  EMBO J       Date:  2000-10-02       Impact factor: 11.598

8.  Potent and specific genetic interference by double-stranded RNA in Caenorhabditis elegans.

Authors:  A Fire; S Xu; M K Montgomery; S A Kostas; S E Driver; C C Mello
Journal:  Nature       Date:  1998-02-19       Impact factor: 49.962

9.  An RNA-dependent RNA polymerase gene in Arabidopsis is required for posttranscriptional gene silencing mediated by a transgene but not by a virus.

Authors:  T Dalmay; A Hamilton; S Rudd; S Angell; D C Baulcombe
Journal:  Cell       Date:  2000-05-26       Impact factor: 41.582

10.  Role for a bidentate ribonuclease in the initiation step of RNA interference.

Authors:  E Bernstein; A A Caudy; S M Hammond; G J Hannon
Journal:  Nature       Date:  2001-01-18       Impact factor: 49.962

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  16 in total

1.  The preferred route for the degradation of silencing target RNAs in transgenic plants depends on pre-established silencing conditions.

Authors:  Matthew Sanders; Nausicaa Lannoo; Wendy Maddelein; Anna Depicker; Marc Van Montagu; Marc Cornelissen; John Jacobs
Journal:  Nucleic Acids Res       Date:  2004-06-25       Impact factor: 16.971

Review 2.  Subcellular fate and off-target effects of siRNA, shRNA, and miRNA.

Authors:  Saurabh Singh; Ajit S Narang; Ram I Mahato
Journal:  Pharm Res       Date:  2011-10-28       Impact factor: 4.200

3.  Optimal viral strategies for bypassing RNA silencing.

Authors:  Guillermo Rodrigo; Javier Carrera; Alfonso Jaramillo; Santiago F Elena
Journal:  J R Soc Interface       Date:  2010-06-23       Impact factor: 4.118

4.  Protection from feed-forward amplification in an amplified RNAi mechanism.

Authors:  Julia Pak; Jay Mahesh Maniar; Cecilia Cabral Mello; Andrew Fire
Journal:  Cell       Date:  2012-11-09       Impact factor: 41.582

5.  RNAi revised--target mRNA-dependent enhancement of gene silencing.

Authors:  Simon Dornseifer; Sarah Willkomm; Rosel Kretschmer-Kazemi Far; Janine Liebschwager; Foteini Beltsiou; Kirsten Frank; Sandra D Laufer; Thomas Martinetz; Georg Sczakiel; Jens Christian Claussen; Tobias Restle
Journal:  Nucleic Acids Res       Date:  2015-11-17       Impact factor: 16.971

6.  Identification of an RNA-dependent RNA polymerase in Drosophila involved in RNAi and transposon suppression.

Authors:  Concetta Lipardi; Bruce M Paterson
Journal:  Proc Natl Acad Sci U S A       Date:  2009-09-01       Impact factor: 11.205

7.  Kinetics of HTT lowering in brain of YAC 128 mice following single and repetitive intranasal dosing of siRNA packaged in chitosan-based nanoparticle.

Authors:  V Sava; O Fihurka; A Khvorova; J Sanchez-Ramos
Journal:  J Drug Deliv Sci Technol       Date:  2021-04-06       Impact factor: 5.062

8.  Modeling recursive RNA interference.

Authors:  Wallace F Marshall
Journal:  PLoS Comput Biol       Date:  2008-09-19       Impact factor: 4.475

9.  RNA silencing can explain chlorotic infection patterns on plant leaves.

Authors:  Marian A C Groenenboom; Paulien Hogeweg
Journal:  BMC Syst Biol       Date:  2008-11-30

10.  Estimate hidden dynamic profiles of siRNA effect on apoptosis.

Authors:  Takanori Ueda; Daisuke Tominaga; Noriko Araki; Tomohiro Yoshikawa
Journal:  BMC Bioinformatics       Date:  2013-03-15       Impact factor: 3.169

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