Literature DB >> 22290409

miRDeepFinder: a miRNA analysis tool for deep sequencing of plant small RNAs.

Fuliang Xie1, Peng Xiao, Dongliang Chen, Lei Xu, Baohong Zhang.   

Abstract

miRDeepFinder is a software package developed to identify and functionally analyze plant microRNAs (miRNAs) and their targets from small RNA datasets obtained from deep sequencing. The functions available in miRDeepFinder include pre-processing of raw data, identifying conserved miRNAs, mining and classifying novel miRNAs, miRNA expression profiling, predicting miRNA targets, and gene pathway and gene network analysis involving miRNAs. The fundamental design of miRDeepFinder is based on miRNA biogenesis, miRNA-mediated gene regulation and target recognition, such as perfect or near perfect hairpin structures, different read abundances of miRNA and miRNA*, and targeting patterns of plant miRNAs. To test the accuracy and robustness of miRDeepFinder, we analyzed a small RNA deep sequencing dataset of Arabidopsis thaliana published in the GEO database of NCBI. Our test retrieved 128 of 131 (97.7%) known miRNAs that have a more than 3 read count in Arabidopsis. Because many known miRNAs are not associated with miRNA*s in small RNA datasets, miRDeepFinder was also designed to recover miRNA candidates without the presence of miRNA*. To mine as many miRNAs as possible, miRDeepFinder allows users to compare mature miRNAs and their miRNA*s with other small RNA datasets from the same species. Cleaveland software package was also incorporated into miRDeepFinder for miRNA target identification using degradome sequencing analysis. Using this new computational tool, we identified 13 novel miRNA candidates with miRNA*s from Arabidopsis and validated 12 of them experimentally. Interestingly, of the 12 verified novel miRNAs, a miRNA named AC1 spans the exons of two genes (UTG71C4 and UGT71C3). Both the mature AC1 miRNA and its miRNA* were also found in four other small RNA datasets. We also developed a tool, "miRNA primer designer" to design primers for any type of miRNAs. miRDeepFinder provides a powerful tool for analyzing small RNA datasets from all species, with or without the availability of genome information. miRDeepFinder and miRNA primer designer are freely available at http://www.leonxie.com/DeepFinder.php and at http://www.leonxie.com/miRNAprimerDesigner.php , respectively. A program (called RefFinder: http://www.leonxie.com/referencegene.php ) was also developed for assessing the reliable reference genes for gene expression analysis, including miRNAs.

Entities:  

Year:  2012        PMID: 22290409     DOI: 10.1007/s11103-012-9885-2

Source DB:  PubMed          Journal:  Plant Mol Biol        ISSN: 0167-4412            Impact factor:   4.076


  45 in total

1.  KEGG: kyoto encyclopedia of genes and genomes.

Authors:  M Kanehisa; S Goto
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

2.  The microRNA Registry.

Authors:  Sam Griffiths-Jones
Journal:  Nucleic Acids Res       Date:  2004-01-01       Impact factor: 16.971

3.  Target-align: a tool for plant microRNA target identification.

Authors:  Fuliang Xie; Baohong Zhang
Journal:  Bioinformatics       Date:  2010-10-07       Impact factor: 6.937

4.  Specific effects of microRNAs on the plant transcriptome.

Authors:  Rebecca Schwab; Javier F Palatnik; Markus Riester; Carla Schommer; Markus Schmid; Detlef Weigel
Journal:  Dev Cell       Date:  2005-04       Impact factor: 12.270

Review 5.  MicroRNA biogenesis: coordinated cropping and dicing.

Authors:  V Narry Kim
Journal:  Nat Rev Mol Cell Biol       Date:  2005-05       Impact factor: 94.444

6.  MicroRNA directs mRNA cleavage of the transcription factor NAC1 to downregulate auxin signals for arabidopsis lateral root development.

Authors:  Hui-Shan Guo; Qi Xie; Ji-Feng Fei; Nam-Hai Chua
Journal:  Plant Cell       Date:  2005-04-13       Impact factor: 11.277

7.  Regulation of flowering time and floral organ identity by a MicroRNA and its APETALA2-like target genes.

Authors:  Milo J Aukerman; Hajime Sakai
Journal:  Plant Cell       Date:  2003-10-10       Impact factor: 11.277

8.  Detection of 91 potential conserved plant microRNAs in Arabidopsis thaliana and Oryza sativa identifies important target genes.

Authors:  Eric Bonnet; Jan Wuyts; Pierre Rouzé; Yves Van de Peer
Journal:  Proc Natl Acad Sci U S A       Date:  2004-07-22       Impact factor: 11.205

9.  MiRNA-miRNA synergistic network: construction via co-regulating functional modules and disease miRNA topological features.

Authors:  Juan Xu; Chuan-Xing Li; Yong-Sheng Li; Jun-Ying Lv; Ye Ma; Ting-Ting Shao; Liang-De Xu; Ying-Ying Wang; Lei Du; Yun-Peng Zhang; Wei Jiang; Chun-Quan Li; Yun Xiao; Xia Li
Journal:  Nucleic Acids Res       Date:  2010-10-06       Impact factor: 16.971

10.  Real-time quantification of microRNAs by stem-loop RT-PCR.

Authors:  Caifu Chen; Dana A Ridzon; Adam J Broomer; Zhaohui Zhou; Danny H Lee; Julie T Nguyen; Maura Barbisin; Nan Lan Xu; Vikram R Mahuvakar; Mark R Andersen; Kai Qin Lao; Kenneth J Livak; Karl J Guegler
Journal:  Nucleic Acids Res       Date:  2005-11-27       Impact factor: 16.971

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  396 in total

1.  Ergot alkaloid exposure during gestation alters: 3. Fetal growth, muscle fiber development, and miRNA transcriptome1.

Authors:  Maslyn A Greene; Jessica L Britt; Rhonda R Powell; F Alex Feltus; William C Bridges; Terri Bruce; James L Klotz; Markus F Miller; Susan K Duckett
Journal:  J Anim Sci       Date:  2019-07-02       Impact factor: 3.159

2.  Defining stable reference genes in HIV latency reversal experiments.

Authors:  Cristina Ceriani; Gabrielle S Streeter; Kena J Lemu; Katherine S James; Simon Ghofrani; Brigitte Allard; Bonnie E Shook-Sa; David M Margolis; Nancie M Archin
Journal:  J Virol       Date:  2021-03-24       Impact factor: 5.103

3.  Genes encoding membrane proteins showed stable expression in rice under aerobic condition: novel set of reference genes for expression studies.

Authors:  Amol S Phule; Kalyani M Barbadikar; M S Madhav; P Senguttuvel; M B B Prasad Babu; P Ananda Kumar
Journal:  3 Biotech       Date:  2018-08-23       Impact factor: 2.406

4.  ShortStack: comprehensive annotation and quantification of small RNA genes.

Authors:  Michael J Axtell
Journal:  RNA       Date:  2013-04-22       Impact factor: 4.942

Review 5.  Seeing the forest for the trees: annotating small RNA producing genes in plants.

Authors:  Ceyda Coruh; Saima Shahid; Michael J Axtell
Journal:  Curr Opin Plant Biol       Date:  2014-03-15       Impact factor: 7.834

6.  Cochlear epithelial of dog fetuses: a new source of multipotent stem cells.

Authors:  Ana Carolina M Santos; Jéssica Borghesi; Lara Carolina Mario; Adriana Raquel A Anunciação; Andrea Maria Mess; Ana Claudia O Carreira; Phelipe O Favaron; Maria Angélica Miglino
Journal:  Cytotechnology       Date:  2017-01-10       Impact factor: 2.058

7.  Ergot alkaloid exposure during gestation alters. I. Maternal characteristics and placental development of pregnant ewes1.

Authors:  Jessica L Britt; Maslyn A Greene; William C Bridges; James L Klotz; Glen E Aiken; John G Andrae; Scott L Pratt; Nathan M Long; F N Schrick; James R Strickland; Sarah A Wilbanks; Markus F Miller; Brandon M Koch; Susan K Duckett
Journal:  J Anim Sci       Date:  2019-04-03       Impact factor: 3.159

8.  Methamphetamine alters reference gene expression in nigra and striatum of adult rat brain.

Authors:  Yi He; Seongjin Yu; Eunkyung Bae; Hui Shen; Yun Wang
Journal:  Neurotoxicology       Date:  2013-09-14       Impact factor: 4.294

9.  Metabolite profiling and molecular responses in a drought-tolerant savory, Satureja rechingeri exposed to water deficit.

Authors:  Anahita Shariat; Ghasem Karimzadeh; Mohammad Hassan Assareh; Javad Hadian
Journal:  3 Biotech       Date:  2018-11-10       Impact factor: 2.406

10.  CXCR3-Dependent Immune Pathology in Mice following Infection with Toxoplasma gondii during Early Pregnancy.

Authors:  Akari Nishida; Rina Ikeda; Hidefumi Furuoka; Yoshifumi Nishikawa
Journal:  Infect Immun       Date:  2021-01-19       Impact factor: 3.441

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