Literature DB >> 30321353

siAbasic: a comprehensive database for potent siRNA-6Ø sequences without off-target effects.

Jongyeun Park1, Seung Hyun Ahn1, Kwang Moon Cho1, Dowoon Gu1, Eun-Sook Jang1,2, Sung Wook Chi1.   

Abstract

Small interfering RNA (siRNA) is widely used to specifically silence target gene expression, but its microRNA (miRNA)-like function inevitably suppresses hundreds of off-targets. Recently, complete elimination of the off-target repression has been achieved by introducing an abasic nucleotide to the pivot (position 6; siRNA-6Ø), of which impaired base pairing destabilizes transitional nucleation (positions 2-6). However, siRNA-6Ø varied in its conservation of on-target activity (∼80-100%), demanding bioinformatics to discover the principles underlying its on-target efficiency. Analyses of miRNA-target interactions (Ago HITS-CLIP) showed that the stability of transitional nucleation correlated with the target affinity of RNA interference. Furthermore, interrogated analyses of siRNA screening efficiency, experimental data and broadly conserved miRNA sequences showed that the free energy of transitional nucleation (positions 2-5) in siRNA-6Ø required the range of stability for effective on-target activity (-6 ≤ ΔG[2:5] ≤ -3.5 kcal mol-1). Taking into consideration of these features together with locations, guanine-cytosine content (GC content), nucleotide stretches, single nucleotide polymorphisms and repetitive elements, we implemented a database named 'siAbasic' that provided the list of potent siRNA-6Ø sequences for most of human and mouse genes (≥ ∼95%), wherein we experimentally validated some of their therapeutic potency. siAbasic will aid to ensure potency of siRNA-6Ø sequences without concerning off-target effects for experimental and clinical purposes.

Entities:  

Mesh:

Substances:

Year:  2018        PMID: 30321353      PMCID: PMC6183071          DOI: 10.1093/database/bay109

Source DB:  PubMed          Journal:  Database (Oxford)        ISSN: 1758-0463            Impact factor:   3.451


  28 in total

1.  Design of a genome-wide siRNA library using an artificial neural network.

Authors:  Dieter Huesken; Joerg Lange; Craig Mickanin; Jan Weiler; Fred Asselbergs; Justin Warner; Brian Meloon; Sharon Engel; Avi Rosenberg; Dalia Cohen; Mark Labow; Mischa Reinhardt; François Natt; Jonathan Hall
Journal:  Nat Biotechnol       Date:  2005-07-17       Impact factor: 54.908

2.  RIsearch2: suffix array-based large-scale prediction of RNA-RNA interactions and siRNA off-targets.

Authors:  Ferhat Alkan; Anne Wenzel; Oana Palasca; Peter Kerpedjiev; Anders Frost Rudebeck; Peter F Stadler; Ivo L Hofacker; Jan Gorodkin
Journal:  Nucleic Acids Res       Date:  2017-05-05       Impact factor: 16.971

3.  Remodeling of Ago2-mRNA interactions upon cellular stress reflects miRNA complementarity and correlates with altered translation rates.

Authors:  Fedor V Karginov; Gregory J Hannon
Journal:  Genes Dev       Date:  2013-07-03       Impact factor: 11.361

4.  Analysis of gene function in somatic mammalian cells using small interfering RNAs.

Authors:  Sayda M Elbashir; Jens Harborth; Klaus Weber; Thomas Tuschl
Journal:  Methods       Date:  2002-02       Impact factor: 3.608

5.  An alternative mode of microRNA target recognition.

Authors:  Sung Wook Chi; Gregory J Hannon; Robert B Darnell
Journal:  Nat Struct Mol Biol       Date:  2012-02-12       Impact factor: 15.369

6.  ViennaRNA Package 2.0.

Authors:  Ronny Lorenz; Stephan H Bernhart; Christian Höner Zu Siederdissen; Hakim Tafer; Christoph Flamm; Peter F Stadler; Ivo L Hofacker
Journal:  Algorithms Mol Biol       Date:  2011-11-24       Impact factor: 1.405

7.  Rationally designed siRNAs without miRNA-like off-target repression.

Authors:  Heeyoung Seok; Eun-Sook Jang; Sung Wook Chi
Journal:  BMB Rep       Date:  2016-03       Impact factor: 4.778

8.  A large-scale chemical modification screen identifies design rules to generate siRNAs with high activity, high stability and low toxicity.

Authors:  Jesper B Bramsen; Maria B Laursen; Anne F Nielsen; Thomas B Hansen; Claus Bus; Niels Langkjaer; B Ravindra Babu; Torben Højland; Mikhail Abramov; Arthur Van Aerschot; Dalibor Odadzic; Romualdas Smicius; Jens Haas; Cordula Andree; Jharna Barman; Malgorzata Wenska; Puneet Srivastava; Chuanzheng Zhou; Dmytro Honcharenko; Simone Hess; Elke Müller; Georgii V Bobkov; Sergey N Mikhailov; Eugenio Fava; Thomas F Meyer; Jyoti Chattopadhyaya; Marino Zerial; Joachim W Engels; Piet Herdewijn; Jesper Wengel; Jørgen Kjems
Journal:  Nucleic Acids Res       Date:  2009-03-12       Impact factor: 16.971

9.  starBase v2.0: decoding miRNA-ceRNA, miRNA-ncRNA and protein-RNA interaction networks from large-scale CLIP-Seq data.

Authors:  Jun-Hao Li; Shun Liu; Hui Zhou; Liang-Hu Qu; Jian-Hua Yang
Journal:  Nucleic Acids Res       Date:  2013-12-01       Impact factor: 16.971

10.  Abasic pivot substitution harnesses target specificity of RNA interference.

Authors:  Hye-Sook Lee; Heeyoung Seok; Dong Ha Lee; Juyoung Ham; Wooje Lee; Emilia Moonkyung Youm; Jin Seon Yoo; Yong-Seung Lee; Eun-Sook Jang; Sung Wook Chi
Journal:  Nat Commun       Date:  2015-12-18       Impact factor: 14.919

View more
  2 in total

1.  AGO-accessible anticancer siRNAs designed with synergistic miRNA-like activity.

Authors:  Dowoon Gu; Seung Hyun Ahn; Sangkyeong Eom; Hye-Sook Lee; Juyoung Ham; Dong Ha Lee; You Kyung Cho; Yongjun Koh; Elizaveta Ignatova; Eun-Sook Jang; Sung Wook Chi
Journal:  Mol Ther Nucleic Acids       Date:  2021-01-26       Impact factor: 8.886

2.  The double edge of anti-CD40 siRNA therapy: It increases renal microcapillar density but favours the generation of an inflammatory milieu in the kidneys of ApoE -/- mice.

Authors:  Miguel Hueso; Angela Casas; Adrian Mallén; Laura de Ramón; Nuria Bolaños; Cristian Varela; Josep M Cruzado; Joan Torras; Estanislao Navarro
Journal:  J Inflamm (Lond)       Date:  2019-12-16       Impact factor: 4.981

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.