Literature DB >> 23684019

Technical note: identification of suitable normalizers for microRNA expression analysis in milk somatic cells of the yak (Bos grunniens).

W L Bai1, R H Yin, R J Yang, W A Khan, Z J Ma, S J Zhao, W Q Jiang, Z Y Wang, Y B Zhu, G B Luo, Z H Zhao.   

Abstract

MicroRNA are approximately 18- to 22-nucleotide nonprotein coding molecules that play important roles in the regulation of gene expression at the posttranscriptional level. In the present study, we assessed the suitability of 8 noncoding small RNA as normalizers for microRNA (miR) quantitative analysis in milk somatic cells of lactating yaks, including 3 small nuclear RNA (snRNA; RNU1A, RNU5A, and RNU6B), 3 small nucleolar RNA (snoRNA; SNORA73A, Z30, and SNORA74A), 1 rRNA (5S), and 1 transfer RNA (Met-tRNA). The snRNA RNU1A, RNU5A, and SNORA73A were identified as the most stable references in milk somatic cells of lactating yaks. Also, a minimum of 3 reference RNA (RNU1A, RNU5A, and SNORA73A) were required for the normalization of microRNA expression data in milk somatic cells of the lactating yak. We further evaluated the suitability of the combination of RNU1A, RNU5A, and SNORA73A as reference RNA in milk somatic cells of lactating yaks via detecting the relative expression of miR 16b, miR 21-5p, miR 145, and miR 155 as microRNA of putative interest. In comparison to the colostrum period, on the whole, the expressions of the 4 microRNA were found to be upregulated at an early period and, thereafter, a declining pattern was exhibited from early to final periods in all microRNA investigated. Based on the results from this study, we recommend that the combination of RNU1A, RNU5A, and SNORA73A can be used as normalizers for microRNA quantitative analysis in future longitudinal studies on milk somatic cells of lactating yaks in relation to lactation.
Copyright © 2013 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

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Year:  2013        PMID: 23684019     DOI: 10.3168/jds.2013-6603

Source DB:  PubMed          Journal:  J Dairy Sci        ISSN: 0022-0302            Impact factor:   4.034


  5 in total

1.  Human Milk MicroRNA and Total RNA Differ Depending on Milk Fractionation.

Authors:  Mohammed Alsaweed; Anna R Hepworth; Christophe Lefèvre; Peter E Hartmann; Donna T Geddes; Foteini Hassiotou
Journal:  J Cell Biochem       Date:  2015-10       Impact factor: 4.429

2.  The expression profiles of miRNA-mRNA of early response in genetically improved farmed tilapia (Oreochromis niloticus) liver by acute heat stress.

Authors:  Jun Qiang; Wen J Bao; Fan Y Tao; Jie He; Xia H Li; Pao Xu; Lan Y Sun
Journal:  Sci Rep       Date:  2017-08-18       Impact factor: 4.379

3.  Inflammation-related microRNA expression level in the bovine milk is affected by mastitis.

Authors:  Yu-Chang Lai; Takuro Fujikawa; Tadashi Maemura; Takaaki Ando; Go Kitahara; Yasuyuki Endo; Osamu Yamato; Masateru Koiwa; Chikara Kubota; Naoki Miura
Journal:  PLoS One       Date:  2017-05-17       Impact factor: 3.240

4.  Population demographic history and population structure for Pakistani Nili-Ravi breeding bulls based on SNP genotyping to identify genomic regions associated with male effects for milk yield and body weight.

Authors:  Saher Islam; Umesh K Reddy; Purushothaman Natarajan; Venkata Lakshmi Abburi; Amna Arshad Bajwa; Muhammad Imran; Muhammad Yasir Zahoor; Muhammad Abdullah; Aamir Mehmood Bukhari; Sajid Iqbal; Kamran Ashraf; Asif Nadeem; Habibur Rehman; Imran Rashid; Wasim Shehzad
Journal:  PLoS One       Date:  2020-11-24       Impact factor: 3.240

5.  MicroRNAs in Breastmilk and the Lactating Breast: Potential Immunoprotectors and Developmental Regulators for the Infant and the Mother.

Authors:  Mohammed Alsaweed; Peter E Hartmann; Donna T Geddes; Foteini Kakulas
Journal:  Int J Environ Res Public Health       Date:  2015-10-30       Impact factor: 3.390

  5 in total

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