scholarly journals Genome‑wide integrated analysis demonstrates widespread functions of lncRNAs in mammary gland development and lactation in dairy goats

BMC Genomics ◽  
2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Zhibin Ji ◽  
Tianle Chao ◽  
Zhaohua Liu ◽  
Lei Hou ◽  
Jin Wang ◽  
...  
2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Zhuanjian Li ◽  
Xianyong Lan ◽  
Ruili Han ◽  
Jing Wang ◽  
Yongzhen Huang ◽  
...  

Abstract In a previous study, miR-2478 was demonstrated to be up-regulated in dairy goat mammary glands during peak lactation compared with the dry period. However, the detailed mechanisms by which miR-2478 regulates physiological lactation and mammary gland development in dairy goats remain unclear. In this study, we used bioinformatics analysis and homologous cloning to predict the target genes of miR-2478 and selected INSR, FBXO11, TGFβ1 and ING4 as candidate target genes of miR-2478. Subsequently, by targeting the 5′UTR of the TGFβ1 gene, we verified that miR-2478 significantly inhibited TGFβ1 transcription and the Pearson’s correlation coefficient between miR-2478 expression and TGFβ1 expression was −0.98. Furthermore, we identified the potential promoter and transcription factor binding regions of TGFβ1 and analyzed the potential mechanisms of interaction between miR-2478 and TGFβ1. Dual-luciferase reporter assays revealed that two regions, spanning from −904 to −690 bp and from −79 to +197 bp, were transcription factor binding regions of TGFβ1. Interesting, the miR-2478 binding sequence was determined to span from +123 to +142 bp in the TGFβ1 gene promoter. Thus, our results have demonstrated that miR-2478 binds to the core region of the TGFβ1 promoter and that it affects goat mammary gland development by inhibiting TGFβ1 transcription.


2013 ◽  
Vol 2013 ◽  
pp. 1-13 ◽  
Author(s):  
Fei Dong ◽  
Zhi-Bin Ji ◽  
Cun-Xian Chen ◽  
Gui-Zhi Wang ◽  
Jian-Min Wang

MicroRNAs are small noncoding RNAs that can regulate gene expression, and they can be involved in the regulation of mammary gland development. The differential expression of miRNAs during mammary gland development is expected to provide insight into their roles in regulating the homeostasis of mammary gland tissues. To screen out miRNAs that should have important regulatory function in the development of mammary gland from miRNA expression profiles and to predict their function, in this study, the target genes of differentially expressed miRNAs in the lactating mammary glands of Laoshan dairy goats are predicted, and then the functions of these miRNAs are analyzed via bioinformatics. First, we screen the expression patterns of 25 miRNAs that had shown significant differences during the different lactation stages in the mammary gland. Then, these miRNAs are clustered according to their expression patterns. Computational methods were used to obtain 215 target genes for 22 of these miRNAs. Combining gene ontology annotation, Fisher’s exact test, and KEGG analysis with the target prediction for these miRNAs, the regulatory functions of miRNAs belonging to different clusters are predicted.


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