Literature DB >> 34432289

44 Current Challenges in miRNomics.

Bünyamin Akgül1, Peter F Stadler2,3,4,5,6, Liam J Hawkins7, Hanane Hadj-Moussa7, Kenneth B Storey7, Kemal Ergin8,9, Rahmi Çetinkaya9, Alexandre R Paschoal10, Pedro G Nachtigall11, Yusuf Tutar12, Malik Yousef13, Jens Allmer14.   

Abstract

Mature microRNAs (miRNAs) are short RNA sequences about 18-24 nucleotide long, which provide the recognition key within RISC for the posttranscriptional regulation of target RNAs. Considering the canonical pathway, mature miRNAs are produced via a multistep process. Their transcription (pri-miRNAs) and first processing step via the microprocessor complex (pre-miRNAs) occur in the nucleus. Then they are exported into the cytosol, processed again by Dicer (dsRNA) and finally a single strand (mature miRNA) is incorporated into RISC (miRISC). The sequence of the incorporated miRNA provides the function of RNA target recognition via hybridization. Following binding of the target, the mRNA is either degraded or translation is inhibited, which ultimately leads to less protein production. Conversely, it has been shown that binding within the 5' UTR of the mRNA can lead to an increase in protein product. Regulation of homeostasis is very important for a cell; therefore, all steps in the miRNA-based regulation pathway, from transcription to the incorporation of the mature miRNA into RISC, are under tight control. While much research effort has been exerted in this area, the knowledgebase is not sufficient for accurately modelling miRNA regulation computationally. The computational prediction of miRNAs is, however, necessary because it is not feasible to investigate all possible pairs of a miRNA and its target, let alone miRNAs and their targets. We here point out open challenges important for computational modelling or for our general understanding of miRNA-based regulation and show how their investigation is beneficial. It is our hope that this collection of challenges will lead to their resolution in the near future.
© 2022. Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Challenges; Mature miRNA; RISC; miRNA prediction; miRNA targeting; miRNomics

Mesh:

Substances:

Year:  2022        PMID: 34432289     DOI: 10.1007/978-1-0716-1170-8_19

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


  14 in total

1.  Towards a map of cis-regulatory sequences in the human genome.

Authors:  Meng Niu; Ehsan Tabari; Pengyu Ni; Zhengchang Su
Journal:  Nucleic Acids Res       Date:  2018-06-20       Impact factor: 16.971

2.  Evidence for human microRNA-offset RNAs in small RNA sequencing data.

Authors:  David Langenberger; Clara Bermudez-Santana; Jana Hertel; Steve Hoffmann; Philipp Khaitovich; Peter F Stadler
Journal:  Bioinformatics       Date:  2009-07-06       Impact factor: 6.937

3.  The evidence for a microRNA product of human DROSHA gene.

Authors:  Peter Mechtler; Sydney Johnson; Hannah Slabodkin; Amir B Cohanim; Leonid Brodsky; Eugene S Kandel
Journal:  RNA Biol       Date:  2017-09-05       Impact factor: 4.652

4.  Functional small RNAs are generated from select miRNA hairpin loops in flies and mammals.

Authors:  Katsutomo Okamura; Erik Ladewig; Li Zhou; Eric C Lai
Journal:  Genes Dev       Date:  2013-03-27       Impact factor: 11.361

5.  Alternative mRNA processing increases the complexity of microRNA-based gene regulation in Arabidopsis.

Authors:  Xiaozeng Yang; Huiyong Zhang; Lei Li
Journal:  Plant J       Date:  2012-01-16       Impact factor: 6.417

6.  Stress-induced alternative splicing provides a mechanism for the regulation of microRNA processing in Arabidopsis thaliana.

Authors:  Kang Yan; Peng Liu; Chang-Ai Wu; Guo-Dong Yang; Rui Xu; Qian-Huan Guo; Jin-Guang Huang; Cheng-Chao Zheng
Journal:  Mol Cell       Date:  2012-10-11       Impact factor: 17.970

7.  The C. elegans heterochronic gene lin-4 encodes small RNAs with antisense complementarity to lin-14.

Authors:  R C Lee; R L Feinbaum; V Ambros
Journal:  Cell       Date:  1993-12-03       Impact factor: 41.582

8.  Loop-miRs: active microRNAs generated from single-stranded loop regions.

Authors:  Julia Winter; Steffen Link; Dominik Witzigmann; Catherina Hildenbrand; Christopher Previti; Sven Diederichs
Journal:  Nucleic Acids Res       Date:  2013-04-10       Impact factor: 16.971

9.  Polyubiquitin chain assembly and organization determine the dynamics of protein activation and degradation.

Authors:  Lan K Nguyen; Maciej Dobrzyński; Dirk Fey; Boris N Kholodenko
Journal:  Front Physiol       Date:  2014-01-24       Impact factor: 4.566

Review 10.  Intracytoplasmic Re-localization of miRISC Complexes.

Authors:  Bünyamin Akgül; İpek Erdoğan
Journal:  Front Genet       Date:  2018-09-20       Impact factor: 4.599

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  1 in total

Review 1.  The roles of microRNAs in spinal cord ischemia-reperfusion injury.

Authors:  Feng-Shou Chen; Xiang-Yi Tong; Bo Fang; Dan Wang; Xiao-Qian Li; Zai-Li Zhang
Journal:  Neural Regen Res       Date:  2022-12       Impact factor: 6.058

  1 in total

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