scholarly journals Identification and characterization of circular RNAs in mammary gland tissue from sheep at peak lactation and during the nonlactating period

Author(s):  
Jiqing Wang ◽  
Huitong Zhou ◽  
Jon G.H. Hickford ◽  
Zhiyun Hao ◽  
Hua Gong ◽  
...  
1998 ◽  
Vol 11 (11) ◽  
pp. 1339-1345 ◽  
Author(s):  
Ryszard Jankowiak ◽  
Dan Zamzow ◽  
Douglas E. Stack ◽  
Rosa Todorovic ◽  
Ercole L. Cavalieri ◽  
...  

Author(s):  
Xin Ma ◽  
Li Su ◽  
Peng Zhang ◽  
Sheng Zhang ◽  
Bo Tang ◽  
...  

The lysine is considered as the most important essential amino acid, because it is the most limiting in the cereals grains. In this study, a lysine-rich (LR) gene, and the expression vector pcDNA3.1-LR and pBC1-LR were constructed. The LR was expressed in 293T cells driven by the vector pcDNA3.1-LR and checked by RT-PCR and WB. The mammary gland tissue-specific expression vector carrying the LR was injected directly into the lactating mammary glands of cows and the milk samples were checked by a complete amino acid analysis. The results showed that the LR protein was expressed successfully in cells and in cow milk; the expression of LR lasted for 6 d, and the lysine level of the injection group was significantly higher than that of negative controls (p Lass Than 0.05). This study provide a better understanding of how mammary gland expression systems increase the lysine content of milk that can be applied to transgenic dairy cow.


PLoS ONE ◽  
2020 ◽  
Vol 15 (6) ◽  
pp. e0234427
Author(s):  
Rong Xuan ◽  
Tianle Chao ◽  
Aili Wang ◽  
Fuhong Zhang ◽  
Ping Sun ◽  
...  

2011 ◽  
Vol 26 (1) ◽  
pp. 13 ◽  
Author(s):  
Torsten Mattfeldt ◽  
Daniel Meschenmoser ◽  
Ursa Pantle ◽  
Volker Schmidt

A theoretical approach to estimate the Minkowski functionals, i.e., area fraction, specifc boundary length and specifc Euler number in 2D, and their asymptotic covariance matrix proposed by Spodarev and Schmidt (2005) and Pantle et al. (2006a;b) is applied to real image data. These two-dimensional images show mammary gland tissue and should be classifed automatically as tumor-free or mammary cancer, respectively. The estimation procedure is illustrated step-by-step and the calculations are described in detail. To reduce dependencies from chosen parameters, a least-squares approach is considered as recommended by Klenk et al. (2006). Emphasis is placed on the detailed description of the estimation procedure and the application of the theory to real image data.


2021 ◽  
pp. 106378
Author(s):  
Iolly Tábata Oliveira Marques ◽  
Fábio Roger Vasconcelos ◽  
Juliana Paula Martins Alves ◽  
Assis Rubens Montenegro ◽  
César Carneiro Linhares Fernandes ◽  
...  

BMC Genomics ◽  
2019 ◽  
Vol 20 (1) ◽  
Author(s):  
Johanna Brodhagen ◽  
Rosemarie Weikard ◽  
Ulrike Thom ◽  
Annika Heimes ◽  
Juliane Günther ◽  
...  

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