Literature DB >> 18191262

Profiling microRNA expression with microarrays.

James Q Yin1, Robert C Zhao, Kevin V Morris.   

Abstract

The discovery of several types of small RNAs (sRNAs) has led to a steady increase in available RNA databases. Many of these sRNAs remain to be validated and functionally characterized. Recent advances in microRNA (miRNA)-expression profiling of different tissues, stages of development and physiological or pathological states are beginning to be explored using several technological approaches. In this review, these recent advances in miRNA microarray technology and their applications, particularly in basic research and clinical diagnosis, will be summarized and discussed. The methods for miRNA enrichment and probe design and labeling will also be discussed with an emphasis on evaluation of predicted miRNA sequences, analysis of miRNA expression and exploration of the potential roles of miRNA sequences in the regulation of stem cell differentiation and tissue- and time-specific profiling patterns of their target genes.

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Year:  2008        PMID: 18191262     DOI: 10.1016/j.tibtech.2007.11.007

Source DB:  PubMed          Journal:  Trends Biotechnol        ISSN: 0167-7799            Impact factor:   19.536


  45 in total

1.  Systematic comparison of microarray profiling, real-time PCR, and next-generation sequencing technologies for measuring differential microRNA expression.

Authors:  Anna Git; Heidi Dvinge; Mali Salmon-Divon; Michelle Osborne; Claudia Kutter; James Hadfield; Paul Bertone; Carlos Caldas
Journal:  RNA       Date:  2010-04-01       Impact factor: 4.942

2.  Complexity of the microRNA repertoire revealed by next-generation sequencing.

Authors:  Lik Wee Lee; Shile Zhang; Alton Etheridge; Li Ma; Dan Martin; David Galas; Kai Wang
Journal:  RNA       Date:  2010-09-28       Impact factor: 4.942

3.  Improved RT-PCR Assay to Quantitate the Pri-, Pre-, and Mature microRNAs with Higher Efficiency and Accuracy.

Authors:  Li Tong; Huihui Xue; Li Xiong; Junhua Xiao; Yuxun Zhou
Journal:  Mol Biotechnol       Date:  2015-10       Impact factor: 2.695

4.  MicroRNA target prediction by expression analysis of host genes.

Authors:  Vincenzo Alessandro Gennarino; Marco Sardiello; Raffaella Avellino; Nicola Meola; Vincenza Maselli; Santosh Anand; Luisa Cutillo; Andrea Ballabio; Sandro Banfi
Journal:  Genome Res       Date:  2008-12-16       Impact factor: 9.043

5.  A PCR-based platform for microRNA expression profiling studies.

Authors:  Xiaowei Wang
Journal:  RNA       Date:  2009-02-13       Impact factor: 4.942

Review 6.  Guidelines for the design, analysis and interpretation of 'omics' data: focus on human endometrium.

Authors:  Signe Altmäe; Francisco J Esteban; Anneli Stavreus-Evers; Carlos Simón; Linda Giudice; Bruce A Lessey; Jose A Horcajadas; Nick S Macklon; Thomas D'Hooghe; Cristina Campoy; Bart C Fauser; Lois A Salamonsen; Andres Salumets
Journal:  Hum Reprod Update       Date:  2013-09-29       Impact factor: 15.610

Review 7.  Role of microRNAs in malignant mesothelioma.

Authors:  A Truini; S Coco; A Alama; C Genova; C Sini; M G Dal Bello; G Barletta; E Rijavec; G Burrafato; F Boccardo; F Grossi
Journal:  Cell Mol Life Sci       Date:  2014-02-23       Impact factor: 9.261

8.  In situ Detection of MicroRNAs: The Art of MicroRNA Research in Human Diseases.

Authors:  Duo Zhang; Lixin Xie; Yang Jin
Journal:  J Cytol Histol       Date:  2015-05-23

9.  Anticipating a next-generation census of stem-cell small RNA.

Authors:  Joseph B Franklin
Journal:  Yale J Biol Med       Date:  2009-09

10.  New miRNA labeling method for bead-based quantification.

Authors:  Alberto Biscontin; Silvia Casara; Stefano Cagnin; Lucia Tombolan; Angelo Rosolen; Gerolamo Lanfranchi; Cristiano De Pittà
Journal:  BMC Mol Biol       Date:  2010-06-16       Impact factor: 2.946

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