Literature DB >> 27932456

Physico-chemical fingerprinting of RNA genes.

Ankita Singh1, Akhilesh Mishra1,2, Ali Khosravi3, Garima Khandelwal4, B Jayaram1,2,5.   

Abstract

We advance here a novel concept for characterizing different classes of RNA genes on the basis of physico-chemical properties of DNA sequences. As knowledge-based approaches could yield unsatisfactory outcomes due to limitations of training on available experimental data sets, alternative approaches that utilize properties intrinsic to DNA are needed to supplement training based methods and to eventually provide molecular insights into genome organization. Based on a comprehensive series of molecular dynamics simulations of Ascona B-DNA consortium, we extracted hydrogen bonding, stacking and solvation energies of all combinations of DNA sequences at the dinucleotide level and calculated these properties for different types of RNA genes. Considering ∼7.3 million mRNA, 255 524 tRNA, 40 649 rRNA (different subunits) and 5250 miRNA, 3747 snRNA, gene sequences from 9282 complete genome chromosomes of all prokaryotes and eukaryotes available at NCBI, we observed that physico-chemical properties of different functional units on genomic DNA differ in their signatures.
© The Author(s) 2016. Published by Oxford University Press on behalf of Nucleic Acids Research.

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Year:  2017        PMID: 27932456      PMCID: PMC5397174          DOI: 10.1093/nar/gkw1236

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  47 in total

Review 1.  Current methods of gene prediction, their strengths and weaknesses.

Authors:  Catherine Mathé; Marie-France Sagot; Thomas Schiex; Pierre Rouzé
Journal:  Nucleic Acids Res       Date:  2002-10-01       Impact factor: 16.971

2.  A novel hybrid gene prediction method employing protein multiple sequence alignments.

Authors:  Oliver Keller; Martin Kollmar; Mario Stanke; Stephan Waack
Journal:  Bioinformatics       Date:  2011-01-06       Impact factor: 6.937

3.  rRNA-like sequences occur in diverse primary transcripts: implications for the control of gene expression.

Authors:  V P Mauro; G M Edelman
Journal:  Proc Natl Acad Sci U S A       Date:  1997-01-21       Impact factor: 11.205

Review 4.  Computational analysis of noncoding RNAs.

Authors:  Stefan Washietl; Sebastian Will; David A Hendrix; Loyal A Goff; John L Rinn; Bonnie Berger; Manolis Kellis
Journal:  Wiley Interdiscip Rev RNA       Date:  2012-09-18       Impact factor: 9.957

Review 5.  The ABCs of molecular dynamics simulations on B-DNA, circa 2012.

Authors:  David L Beveridge; Thomas E Cheatham; Mihaly Mezei
Journal:  J Biosci       Date:  2012-07       Impact factor: 1.826

6.  Parkinson's disease DJ-1 L166P alters rRNA biogenesis by exclusion of TTRAP from the nucleolus and sequestration into cytoplasmic aggregates via TRAF6.

Authors:  Sandra Vilotti; Marta Codrich; Marco Dal Ferro; Milena Pinto; Isidro Ferrer; Licio Collavin; Stefano Gustincich; Silvia Zucchelli
Journal:  PLoS One       Date:  2012-04-20       Impact factor: 3.240

Review 7.  The hallmarks of cancer: a long non-coding RNA point of view.

Authors:  Tony Gutschner; Sven Diederichs
Journal:  RNA Biol       Date:  2012-06-01       Impact factor: 4.652

8.  A novel method for prokaryotic promoter prediction based on DNA stability.

Authors:  Aditi Kanhere; Manju Bansal
Journal:  BMC Bioinformatics       Date:  2005-01-05       Impact factor: 3.169

9.  The role of DNA shape in protein-DNA recognition.

Authors:  Remo Rohs; Sean M West; Alona Sosinsky; Peng Liu; Richard S Mann; Barry Honig
Journal:  Nature       Date:  2009-10-29       Impact factor: 49.962

10.  IPred - integrating ab initio and evidence based gene predictions to improve prediction accuracy.

Authors:  Franziska Zickmann; Bernhard Y Renard
Journal:  BMC Genomics       Date:  2015-02-26       Impact factor: 3.969

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  1 in total

1.  Toward a Universal Structural and Energetic Model for Prokaryotic Promoters.

Authors:  Akhilesh Mishra; Priyanka Siwach; Pallavi Misra; Bhyravabhotla Jayaram; Manju Bansal; Wilma K Olson; Kelly M Thayer; David L Beveridge
Journal:  Biophys J       Date:  2018-08-08       Impact factor: 4.033

  1 in total

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