Abstract
Experimental methods for identifying protein(s) bound by a specific promoter-associated RNA (paRNA) of interest can be expensive, difficult, and time-consuming. This chapter describes a general computational framework for identifying potential binding partners in RNA-protein complexes or RNA-protein interaction networks. Protocols for using three web-based tools to predict RNA-protein interaction partners are outlined. Also, tables listing additional webservers and software tools for predicting RNA-protein interactions, as well as databases that contain valuable information about known RNA-protein complexes and recognition sites for RNA-binding proteins, are provided. Although only one of the tools described, lncPro, was designed expressly to identify proteins that bind long noncoding RNAs (including paRNAs), all three approaches can be applied to predict potential binding partners for both coding and noncoding RNAs (ncRNAs).
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Rinn JL, Ule J (2014) Oming in on RNA-protein interactions. Genome Biol 15(1):401
Mattick JS, Rinn JL (2015) Discovery and annotation of long noncoding RNAs. Nat Struct Mol Biol 22(1):5–7
Sutandy FX, Hsiao FS, Chen CS (2015) High throughput platform to explore RNA-protein interactomes. Crit Rev Biotechnol 36(1):11–19
Silverman IM, Li F, Alexander A et al (2014) RNase-mediated protein footprint sequencing reveals protein-binding sites throughout the human transcriptome. Genome Biol 15(1):R3
Buenrostro JD, Araya CL, Chircus LM et al (2014) Quantitative analysis of RNA-protein interactions on a massively parallel array reveals biophysical and evolutionary landscapes. Nat Biotechnol 32(6):562–568
Ray D, Kazan H, Cook KB et al (2013) A compendium of RNA-binding motifs for decoding gene regulation. Nature 499(7457):172–177
Castello A, Horos R, Strein C et al (2016) Comprehensive identification of RNA-binding proteins by RNA interactome capture. Methods Mol Biol 1358:131–139
Strein C, Alleaume AM, Rothbauer U et al (2014) A versatile assay for RNA-binding proteins in living cells. RNA 20(5):721–731
Kramer K, Sachsenberg T, Beckmann BM et al (2014) Photo-cross-linking and high-resolution mass spectrometry for assignment of RNA-binding sites in RNA-binding proteins. Nat Methods 11(10):1064–1070
Dieterich C, Stadler PF (2013) Computational biology of RNA interactions. Wiley Interdiscip Rev RNA 4(1):107–120
Chu C, Spitale RC, Chang HY (2015) Technologies to probe functions and mechanisms of long noncoding RNAs. Nat Struct Mol Biol 22(1):29–35
Goodrich JA, Kugel JF (2006) Non-coding-RNA regulators of RNA polymerase II transcription. Nat Rev Mol Cell Biol 7(8):612–616
Fatica A, Bozzoni I (2014) Long non-coding RNAs: new players in cell differentiation and development. Nat Rev Genet 15(1):7–21
Wilusz JE, Sunwoo H, Spector DL (2009) Long noncoding RNAs: functional surprises from the RNA world. Genes Dev 23(13):1494–1504
Rinn JL, Chang HY (2012) Genome regulation by long noncoding RNAs. Annu Rev Biochem 81:145–166
Yang Y, Wen L, Zhu H (2015) Unveiling the hidden function of long non-coding RNA by identifying its major partner-protein. Cell Biosci 5:59
Muppirala U, Lewis BA, Dobbs D (2013) Computational tools for investigating RNA-protein interaction partners. J Comput Sci Syst Biol 6:182–187
Cirillo D, Livi CM, Agostini F et al (2014) Discovery of protein-RNA networks. Mol Biosyst 10(7):1632–1642
Walia RR, Caragea C, Lewis BA et al (2012) Protein-RNA interface residue prediction using machine learning: an assessment of the state of the art. BMC Bioinform 13(1):89
Puton T, Kozlowski L, Tuszynska I et al (2012) Computational methods for prediction of protein-RNA interactions. J Struct Biol 179(3):261–268
Yan J, Friedrich S, Kurgan L (2015) A comprehensive comparative review of sequence-based predictors of DNA- and RNA-binding residues. Brief Bioinform 17(1):88–105
Chatr-Aryamontri A, Breitkreutz BJ, Oughtred R et al (2015) The BioGRID interaction database: 2015 update. Nucleic Acids Res 43 (Database Issue):D470–D478
Orchard S, Ammari M, Aranda B et al (2014) The MIntAct project—IntAct as a common curation platform for 11 molecular interaction databases. Nucleic Acids Res 42 (Database Issue):D358–D363
Coimbatore Narayanan B, Westbrook J, Ghosh S et al (2014) The Nucleic Acid Database: New features and capabilities. Nucleic Acids Res 42 (Database issue):D114–D122
Berman HM, Olson WK, Beveridge DL et al (1992) The Nucleic Acid Database: A comprehensive relational database of three-dimensional structures of nucleic acids. Biophys J 63:751–759
Yuan J, Wu W, Xie C et al (2014) NPInter v2.0: an updated database of ncRNA interactions. Nucleic Acids Res 42(Database issue):D104–D108
Berman HM, Westbrook J, Feng Z et al (2000) The Protein Data Bank. Nucleic Acids Res 28(1):235–242
Fujimori S, Hino K, Saito A et al (2012) PRD: A protein-RNA interaction database. Bioinformation 8(15):729–730
Cook KB, Kazan H, Zuberi K et al (2011) RBPDB: a database of RNA-binding specificities. Nucleic Acids Res 39(Database Issue):D301–D308
Muppirala UK, Honavar VG, Dobbs D (2011) Predicting RNA-protein interactions using only sequence information. BMC Bioinform 12:489
Lu Q, Ren S, Lu M et al (2013) Computational prediction of associations between long non-coding RNAs and proteins. BMC Genom 14:651
Bellucci M, Agostini F, Masin M et al (2011) Predicting protein associations with long noncoding RNAs. Nat Methods 8(6):444–445
Agostini F, Zanzoni A, Klus P et al (2013) catRAPID omics: a web server for large-scale prediction of protein-RNA interactions. Bioinformatics 29(22):2928–2930
Cirillo D, Agostini F, Tartaglia GG (2013) Predictions of protein-RNA interactions. Wiley Interdiscip Rev RNA 3(2):161–175
Lewis BA, Walia RR, Terribilini M et al (2011) PRIDB: a Protein-RNA interface database. Nucleic Acids Res 39 (Database Issue):D277–D282
Wang Y, Chen X, Liu ZP et al (2013) De novo prediction of RNA-protein interactions from sequence information. Mol Biosyst 9(1):133–142
Pancaldi V, Bahler J (2011) In silico characterization and prediction of global protein-mRNA interactions in yeast. Nucleic Acids Res 39(14):5826–5836
Suresh V, Liu L, Adjeroh D et al (2015) RPI-Pred: predicting ncRNA-protein interaction using sequence and structural information. Nucleic Acids Res 43(3):1370–1379
Altschul SF, Gish W, Miller W et al (1990) Basic local alignment search tool. J Mol Biol 215(3):403–410
Cirillo D, Marchese D, Agostini F et al (2014) Constitutive patterns of gene expression regulated by RNA-binding proteins. Genome Biol 15(1):R13
Livi CM, Klus P, Delli Ponti R et al (2015) catRAPID signature: identification of ribonucleoproteins and RNA-binding regions. Bioinformatics 32(5):773–775
Henry VJ, Bandrowski AE, Pepin AS et al (2014) OMICtools: an informative directory for multi-omic data analysis. Database (Oxford) doi: 10.1093/database/bau069.bau069
Leinonen R, Akhtar R, Birney E et al (2011) The European Nucleotide Archive. Nucleic Acids Res 39 (Database issue):D28–D31
Shen J, Zhang J, Luo X et al (2007) Predicting protein-protein interactions based only on sequences information. Proc Natl Acad Sci U S A 104(11):4337–4341
Acknowledgments
This work was supported by NIH grant GM066387 and a Presidential Initiative for Interdisciplinary Research (PIIR) award from Iowa State University to DD. We thank Rasna Walia for valuable discussions and suggestions.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer Science+Business Media LLC
About this protocol
Cite this protocol
Mann, C.M., Muppirala, U.K., Dobbs, D. (2017). Computational Prediction of RNA-Protein Interactions. In: Napoli, S. (eds) Promoter Associated RNA. Methods in Molecular Biology, vol 1543. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-6716-2_8
Download citation
DOI: https://doi.org/10.1007/978-1-4939-6716-2_8
Published:
Publisher Name: Humana Press, New York, NY
Print ISBN: 978-1-4939-6714-8
Online ISBN: 978-1-4939-6716-2
eBook Packages: Springer Protocols