Literature DB >> 19802595

MicroRNA promoter analysis.

Molly Megraw1, Artemis G Hatzigeorgiou.   

Abstract

In this chapter, we present a brief overview of current knowledge about the promoters of plant microRNAs (miRNAs), and provide a step-by-step guide for predicting plant miRNA promoter elements using known transcription factor binding motifs. The approach to promoter element prediction is based on a carefully constructed collection of Positional Weight Matrices (PWMs) for known transcription factors (TFs) in Arabidopsis. A key concept of the method is to use scoring thresholds for potential binding sites that are appropriate to each individual transcription factor. While the procedure can be applied to search for Transcription Factor Binding Sites (TFBSs) in any pol-II promoter region, it is particularly practical for the case of plant miRNA promoters where upstream sequence regions and binding sites are not readily available in existing databases. The majority of the material described in this chapter is available for download at http://microrna.gr.

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Year:  2010        PMID: 19802595     DOI: 10.1007/978-1-60327-005-2_11

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  10 in total

Review 1.  General principals of miRNA biogenesis and regulation in the brain.

Authors:  Dónal O'Carroll; Anne Schaefer
Journal:  Neuropsychopharmacology       Date:  2012-06-06       Impact factor: 7.853

Review 2.  Small Genetic Circuits and MicroRNAs: Big Players in Polymerase II Transcriptional Control in Plants.

Authors:  Molly Megraw; Jason S Cumbie; Maria G Ivanchenko; Sergei A Filichkin
Journal:  Plant Cell       Date:  2016-02-11       Impact factor: 11.277

3.  In silico search and biological validation of microRNAs related to drought response in peach and almond.

Authors:  Fazileh Esmaeili; Behrouz Shiran; Hossein Fallahi; Neda Mirakhorli; Hikmet Budak; Pedro Martínez-Gómez
Journal:  Funct Integr Genomics       Date:  2016-04-11       Impact factor: 3.410

4.  RNAseq analysis of cassava reveals similar plant responses upon infection with pathogenic and non-pathogenic strains of Xanthomonas axonopodis pv. manihotis.

Authors:  Alejandra Muñoz-Bodnar; Alvaro L Perez-Quintero; Fabio Gomez-Cano; Juliana Gil; Richard Michelmore; Adriana Bernal; Boris Szurek; Camilo Lopez
Journal:  Plant Cell Rep       Date:  2014-08-15       Impact factor: 4.570

5.  Computational Identification of Novel MicroRNAs and Their Targets in Vigna unguiculata.

Authors:  Yongzhong Lu; Xiaoyun Yang
Journal:  Comp Funct Genomics       Date:  2010-08-02

6.  Bioinformatic identification of cassava miRNAs differentially expressed in response to infection by Xanthomonas axonopodis pv. manihotis.

Authors:  Álvaro L Pérez-Quintero; Andrés Quintero; Oscar Urrego; Pablo Vanegas; Camilo López
Journal:  BMC Plant Biol       Date:  2012-02-23       Impact factor: 4.215

7.  Identification of immunity-related genes in Arabidopsis and cassava using genomic data.

Authors:  Luis Guillermo Leal; Álvaro Perez; Andrés Quintero; Ángela Bayona; Juan Felipe Ortiz; Anju Gangadharan; David Mackey; Camilo López; Liliana López-Kleine
Journal:  Genomics Proteomics Bioinformatics       Date:  2013-12-06       Impact factor: 7.691

8.  Discovery of Novel Leaf Rust Responsive microRNAs in Wheat and Prediction of Their Target Genes.

Authors:  Dhananjay Kumar; Dharmendra Singh; Pulkit Kanodia; Kumble Vinod Prabhu; Manish Kumar; Kunal Mukhopadhyay
Journal:  J Nucleic Acids       Date:  2014-08-12

9.  An improved method for TAL effectors DNA-binding sites prediction reveals functional convergence in TAL repertoires of Xanthomonas oryzae strains.

Authors:  Alvaro L Pérez-Quintero; Luis M Rodriguez-R; Alexis Dereeper; Camilo López; Ralf Koebnik; Boris Szurek; Sebastien Cunnac
Journal:  PLoS One       Date:  2013-07-15       Impact factor: 3.240

10.  Sustained-input switches for transcription factors and microRNAs are central building blocks of eukaryotic gene circuits.

Authors:  Molly Megraw; Sayan Mukherjee; Uwe Ohler
Journal:  Genome Biol       Date:  2013-08-23       Impact factor: 13.583

  10 in total

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