Literature DB >> 22144206

miRNA data analysis: next-gen sequencing.

Preethi H Gunaratne1, Cristian Coarfa, Benjamin Soibam, Arpit Tandon.   

Abstract

MicroRNAs (miRNAs) are short, noncoding RNAs that have the capacity to bind, capture, and silence hundreds of genes within and across diverse signaling pathways 1(Bartel, Cell 136:215-33, 2009) Specific sets of miRNAs characterize specific cell lineages of normal organisms and an increasing number of diseases have been shown to be associated with the dysregulation of specific miRNAs. Deep sequencing platforms have revealed unexpected complexity in relation to miRNAs, including 5' and 3'-end-length heterogeneity and RNA editing. These insights not uncovered by previous microarray-based studies underscore the importance of data analysis tools that enable users to rapidly and easily analyze the unprecedented amounts of small RNA sequencing data that is emerging from next-generation sequencing platforms, such as Illumina/Solexa, SOLiD, and 454. In this chapter, we summarize the increasing number of analysis platforms that are available for miRNA discovery and profiling and the identification of functional miRNA-mRNA pairs in the context of biology and disease. We also discuss in greater detail our contributions to this effort.

Mesh:

Substances:

Year:  2012        PMID: 22144206     DOI: 10.1007/978-1-61779-427-8_19

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


  15 in total

1.  MicroRNA biomarkers for early detection of embryonic malformations in pregnancy.

Authors:  Xuezheng Li; Zhiyong Zhao
Journal:  J Biomol Res Ther       Date:  2014-12

Review 2.  MicroRNA profiling: approaches and considerations.

Authors:  Colin C Pritchard; Heather H Cheng; Muneesh Tewari
Journal:  Nat Rev Genet       Date:  2012-04-18       Impact factor: 53.242

3.  TAp63-Regulated miRNAs Suppress Cutaneous Squamous Cell Carcinoma through Inhibition of a Network of Cell-Cycle Genes.

Authors:  Andrew John Davis; Maksym Tsinkevich; Jason Rodencal; Hussein A Abbas; Xiao-Hua Su; Young-Jin Gi; Bin Fang; Kimal Rajapakshe; Cristian Coarfa; Preethi H Gunaratne; John M Koomen; Kenneth Y Tsai; Elsa R Flores
Journal:  Cancer Res       Date:  2020-03-10       Impact factor: 12.701

Review 4.  microRNAs as pharmacogenomic biomarkers for drug efficacy and drug safety assessment.

Authors:  Igor Koturbash; William H Tolleson; Lei Guo; Dianke Yu; Si Chen; Huixiao Hong; William Mattes; Baitang Ning
Journal:  Biomark Med       Date:  2015-10-26       Impact factor: 2.851

Review 5.  The Cancer Genome Atlas (TCGA): an immeasurable source of knowledge.

Authors:  Katarzyna Tomczak; Patrycja Czerwińska; Maciej Wiznerowicz
Journal:  Contemp Oncol (Pozn)       Date:  2015

6.  Identification of MiRNA from eggplant (Solanum melongena L.) by small RNA deep sequencing and their response to Verticillium dahliae infection.

Authors:  Liu Yang; Dengwei Jue; Wang Li; Ruijie Zhang; Min Chen; Qing Yang
Journal:  PLoS One       Date:  2013-08-27       Impact factor: 3.240

7.  Beta cell 5'-shifted isomiRs are candidate regulatory hubs in type 2 diabetes.

Authors:  Jeanette Baran-Gale; Emily E Fannin; C Lisa Kurtz; Praveen Sethupathy
Journal:  PLoS One       Date:  2013-09-09       Impact factor: 3.240

8.  MicroRNA in Aging: From Discovery to Biology.

Authors:  Hwa Jin Jung; Yousin Suh
Journal:  Curr Genomics       Date:  2012-11       Impact factor: 2.236

9.  Kraken: a set of tools for quality control and analysis of high-throughput sequence data.

Authors:  Matthew P A Davis; Stijn van Dongen; Cei Abreu-Goodger; Nenad Bartonicek; Anton J Enright
Journal:  Methods       Date:  2013-06-29       Impact factor: 3.608

10.  The miRNAome of the postpartum dairy cow liver in negative energy balance.

Authors:  Attia Fatima; David J Lynn; Padraic O'Boyle; Cathal Seoighe; Dermot Morris
Journal:  BMC Genomics       Date:  2014-04-12       Impact factor: 3.969

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