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Zheng X, Ning C, Dong Y, Zhao P, Li J, Fan Z, Li J, Yu Y, Mrode R, Liu JF. Quantitative proteome analysis of bovine mammary gland reveals protein dynamic changes involved in peak and late lactation stages. Biochem Biophys Res Commun 2017; 494:292-297. [PMID: 29024632 DOI: 10.1016/j.bbrc.2017.10.038] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2017] [Accepted: 10/07/2017] [Indexed: 01/06/2023]
Abstract
Mammary gland is an important organ for milk synthesis and secretion. It undergoes dramatic physiological changes to adapt the shift from peak to late lactation stage. Protein plays a final very vital role in many life functions, and the protein changes during different lactation stages potentially reflect the biology of lactation and the functions of mammary gland in cows. In current study, we adopted tandem mass tags label-based quantitative analysis technique and to investigate proteome changes occurring in bovine mammary gland from peak to late lactation stages. A total of 3753 proteins from mammary tissues taken at two lactation points from four individual cows by biopsy were quantified, out of which 179 proteins were expressed differentially between two stages. We observed five new DEPs (AACS, DHCR7, GSTM3, SFRP1 and SFRP4) and nine functional well-studies known proteins (PLIN2, LPIN1, PLIN3, GSN, CD74, MMP2, SOD1, SOD3 and GPX3) related to milk performance and mammary morphology. Bioinformatics analyses of the DEPs showed a majority of the up-regulated proteins during late lactation stage were related to apoptosis and immune process, while the downregulated proteins were mainly involved in localization, lipid metabolic and transport process. This suggests that the mammary gland can adapt to different molecular functions according to the biological need of the animal. From the integrated analysis of the differentially expressed proteins with known quantitative trait loci and genome-wide association study data, we identified 95 proteins may potentially affect milking performance. We expect findings in this study could be a valuable resource for future studies investigating the bovine proteome and functional studies.
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Affiliation(s)
- Xianrui Zheng
- National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Chao Ning
- National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Yichun Dong
- Agricultural Commission of Haian County, Jiangsu Province, Haian 226600, China
| | - Pengju Zhao
- National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Junhui Li
- National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Ziyao Fan
- National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Jiang Li
- National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Ying Yu
- National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Raphael Mrode
- International Livestock Research Institute Nairobi, Kenya
| | - Jian-Feng Liu
- National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.
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Abstract
Lactation physiology is a process that is only partly understood. Proteomics techniques have shown to be useful to help advance the knowledge on lactation physiology in human and rodent species but have not been used as major tools for dairy cows, except for mastitis. In this paper, advanced non-targeted proteomics techniques (Filter aided sample preparation and NanoLC-Orbitrap-MS/MS) were applied to study the milk fat globule membrane and milk serum fraction, resulting in the identification of 246 proteins. Of these, 23 transporters and enzymes were related to lipid synthesis and secretion in mammary gland and their functions are discussed in detail. The identification of these intracellular transporters and enzymes in milk provides a possibility of using milk itself to study lipid synthesis and secretion pathways. This full-scale scan of milk proteins by using non-targeted proteomic analysis helps to reveal the important proteins involved in lipid synthesis and secretion for further examination in targeted studies.
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DeAngelis JT, Li Y, Mitchell N, Wilson L, Kim H, Tollefsbol TO. 2D difference gel electrophoresis analysis of different time points during the course of neoplastic transformation of human mammary epithelial cells. J Proteome Res 2010; 10:447-58. [PMID: 21105747 DOI: 10.1021/pr100533k] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Cell culture models of oncogenesis that use cellular reprogramming to generate a neoplastic cell from a normal cell provide one of the few opportunities to study the early stages of breast cancer development. Human mammary epithelial cells (HMECs) were induced to undergo a neoplastic transformation using defined genetic elements to generate transformed HMECs (THMECs). To identify proteins that displayed significantly different levels of abundance at three consecutive time points in oncogenesis over an 80 day period, protein extracts were analyzed by two-dimensional difference gel electrophoresis (2D-DIGE). Nine proteins were found to be significantly different in abundance: keratin 1, keratin 7, heat shock protein 4A-like, t-complex protein 1, stathmin, gelsolin, FK506 binding protein 5, ribosomal protein P0, and maspin. Keratin 7 and maspin displayed a linear down-regulation over 80 days. All of these proteins have been shown to be involved in the maintenance of a metastatic state including cytoskeletal modifications and motility. We conclude that, following neoplastic induction, THMECs display an early and progressive increase in metastatic potential. Further investigations into the function and regulatory mechanisms of these proteins will provide an unparalleled understanding of the initial states through which a breast cancer cell transitions following acquisition of the genetic abnormalities required for oncogenesis.
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Affiliation(s)
- J Tyson DeAngelis
- Department of Biology, UAB Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, Alabama 35294-1170, USA
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