BACKGROUND: Orofacial development is a multifaceted process involving precise, spatio-temporal expression of a panoply of genes. MicroRNAs (miRNAs), the largest family of noncoding RNAs involved in gene silencing, represent critical regulators of cell and tissue differentiation. MicroRNA gene expression profiling is an effective means of acquiring novel and valuable information regarding the expression and regulation of genes, under the control of miRNA, involved in mammalian orofacial development. METHODS: To identify differentially expressed miRNAs during mammalian orofacial ontogenesis, miRNA expression profiles from gestation day (GD) -12, -13 and -14 murine orofacial tissue were compared utilizing miRXplore microarrays from Miltenyi Biotech. Quantitative real-time PCR was utilized for validation of gene expression changes. Cluster analysis of the microarray data was conducted with the clValid R package and the UPGMA clustering method. Functional relationships between selected miRNAs were investigated using Ingenuity Pathway Analysis. RESULTS: Expression of over 26% of the 588 murine miRNA genes examined was detected in murine orofacial tissues from GD-12-GD-14. Among these expressed genes, several clusters were seen to be developmentally regulated. Differential expression of miRNAs within such clusters wereshown to target genes encoding proteins involved in cell proliferation, cell adhesion, differentiation, apoptosis and epithelial-mesenchymal transformation, all processes critical for normal orofacial development. CONCLUSIONS: Using miRNA microarray technology, unique gene expression signatures of hundreds of miRNAs in embryonic orofacial tissue were defined. Gene targeting and functional analysis revealed that the expression of numerous protein-encoding genes, crucial to normal orofacial ontogeny, may be regulated by specific miRNAs. 2010 Wiley-Liss, Inc.
BACKGROUND: Orofacial development is a multifaceted process involving precise, spatio-temporal expression of a panoply of genes. MicroRNAs (miRNAs), the largest family of noncoding RNAs involved in gene silencing, represent critical regulators of cell and tissue differentiation. MicroRNA gene expression profiling is an effective means of acquiring novel and valuable information regarding the expression and regulation of genes, under the control of miRNA, involved in mammalian orofacial development. METHODS: To identify differentially expressed miRNAs during mammalian orofacial ontogenesis, miRNA expression profiles from gestation day (GD) -12, -13 and -14 murine orofacial tissue were compared utilizing miRXplore microarrays from Miltenyi Biotech. Quantitative real-time PCR was utilized for validation of gene expression changes. Cluster analysis of the microarray data was conducted with the clValid R package and the UPGMA clustering method. Functional relationships between selected miRNAs were investigated using Ingenuity Pathway Analysis. RESULTS: Expression of over 26% of the 588 murine miRNA genes examined was detected in murine orofacial tissues from GD-12-GD-14. Among these expressed genes, several clusters were seen to be developmentally regulated. Differential expression of miRNAs within such clusters wereshown to target genes encoding proteins involved in cell proliferation, cell adhesion, differentiation, apoptosis and epithelial-mesenchymal transformation, all processes critical for normal orofacial development. CONCLUSIONS: Using miRNA microarray technology, unique gene expression signatures of hundreds of miRNAs in embryonic orofacial tissue were defined. Gene targeting and functional analysis revealed that the expression of numerous protein-encoding genes, crucial to normal orofacial ontogeny, may be regulated by specific miRNAs. 2010 Wiley-Liss, Inc.
Authors: Wei Liu; Xiaoxia Sun; Alen Braut; Yuji Mishina; Richard R Behringer; Mina Mina; James F Martin Journal: Development Date: 2005-02-16 Impact factor: 6.868
Authors: G Van Buggenhout; C Van Ravenswaaij-Arts; N Mc Maas; R Thoelen; A Vogels; Dominique Smeets; I Salden; G Matthijs; J-P Fryns; J R Vermeesch Journal: Eur J Med Genet Date: 2005 Jul-Sep Impact factor: 2.708
Authors: Mariko Tatsuguchi; Hee Young Seok; Thomas E Callis; J Michael Thomson; Jian-Fu Chen; Martin Newman; Mauricio Rojas; Scott M Hammond; Da-Zhi Wang Journal: J Mol Cell Cardiol Date: 2007-04-14 Impact factor: 5.000
Authors: Emily Bernstein; Sang Yong Kim; Michelle A Carmell; Elizabeth P Murchison; Heather Alcorn; Mamie Z Li; Alea A Mills; Stephen J Elledge; Kathryn V Anderson; Gregory J Hannon Journal: Nat Genet Date: 2003-10-05 Impact factor: 38.330
Authors: Ratnam S Seelan; Partha Mukhopadhyay; Dennis R Warner; Savitri N Appana; Guy N Brock; M Michele Pisano; Robert M Greene Journal: Microrna Date: 2014
Authors: Dennis R Warner; Partha Mukhopadhyay; Guy Brock; Cindy L Webb; M Michele Pisano; Robert M Greene Journal: Dev Growth Differ Date: 2014-05-22 Impact factor: 2.053
Authors: Christian Schoen; Jeffrey C Glennon; Shaghayegh Abghari; Marjon Bloemen; Armaz Aschrafi; Carine E L Carels; Johannes W Von den Hoff Journal: Eur J Orthod Date: 2018-01-23 Impact factor: 3.075
Authors: Yi Jiao; Manli Zhu; Xinmin Mao; Mei Long; Xian Du; Yun Wu; Kelimu Abudureyimu; Cheng Zhang; Ye Wang; Yicun Tao; Xin Luo; Linlin Li Journal: Am J Transl Res Date: 2015-10-15 Impact factor: 4.060
Authors: Ratnam S Seelan; Savitri N Appana; Partha Mukhopadhyay; Dennis R Warner; Guy N Brock; M Michele Pisano; Robert M Greene Journal: Birth Defects Res A Clin Mol Teratol Date: 2013-04-03