Comparison of five different RNA sources to examine the lactating bovine mammary gland transcriptome using RNA-Sequencing

被引:118
|
作者
Canovas, Angela [1 ]
Rincon, Gonzalo [1 ]
Bevilacqua, Claudia [2 ]
Islas-Trejo, Alma [1 ]
Brenaut, Pauline [2 ]
Hovey, Russell C. [1 ]
Boutinaud, Marion [3 ]
Morgenthaler, Caroline [2 ]
VanKlompenberg, Monica K. [1 ]
Martin, Patrice [2 ]
Medrano, Juan F. [1 ]
机构
[1] Univ Calif Davis, Dept Anim Sci, Davis, CA 95616 USA
[2] INRA, UMR Genet Anim & Biol Integrat 1313, F-78350 Jouy En Josas, France
[3] INRA, AGROCAMPUS OUEST, PEGASE UMR1348, F-35590 St Gilles, France
来源
SCIENTIFIC REPORTS | 2014年 / 4卷
关键词
EPITHELIAL-CELLS; GENE-EXPRESSION; MILK; ADIPOPHILIN;
D O I
10.1038/srep05297
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The objective of this study was to examine five different sources of RNA, namely mammary gland tissue (MGT), milk somatic cells (SC), laser microdissected mammary epithelial cells (LCMEC), milk fat globules (MFG) and antibody-captured milk mammary epithelial cells (mMEC) to analyze the bovine mammary gland transcriptome using RNA-Sequencing. Our results provide a comparison between different sampling methods (invasive and non-invasive) to define the transcriptome of mammary gland tissue and milk cells. This information will be of value to investigators in choosing the most appropriate sampling method for different research applications to study specific physiological states during lactation. One of the simplest procedures to study the transcriptome associated with milk appears to be the isolation of total RNA directly from SC or MFG released into milk during lactation. Our results indicate that the SC and MFG transcriptome are representative of MGT and LCMEC and can be used as effective and alternative samples to study mammary gland expression without the need to perform a tissue biopsy.
引用
收藏
页数:7
相关论文
共 19 条
  • [1] Comprehensive RNA-Seq profiling to evaluate lactating sheep mammary gland transcriptome
    Suarez-Vega, Aroa
    Gutierrez-Gil, Beatriz
    Klopp, Christophe
    Tosser-Klopp, Gwenola
    Arranz, Juan-Jose
    SCIENTIFIC DATA, 2016, 3
  • [2] Transcriptome signature of two lactation stages in Ghezel sheep identifies using RNA-Sequencing
    Farhadian, Mohammad
    Rafat, Seyed Aabbas
    Panahi, Bahman
    Ebrahimie, Esmaeil
    ANIMAL BIOTECHNOLOGY, 2022, 33 (02) : 223 - 233
  • [3] Transcriptional profiling of two different physiological states of the yak mammary gland using RNA sequencing
    Fan Jiangfeng
    Luo Yuzhu
    Yu Sijiu
    Cui Yan
    Xu Gengquan
    Wang Libin
    Pan Yangyang
    He Honghong
    PLOS ONE, 2018, 13 (07):
  • [4] Transcriptome analysis of the compatible interaction of tomato with Verticillium dahliae using RNA-sequencing
    Tan, Guangxuan
    Liu, Kun
    Kang, Jingmin
    Xu, Kedong
    Zhang, Yi
    Hu, Lizong
    Zhang, Ju
    Li, Chengwei
    FRONTIERS IN PLANT SCIENCE, 2015, 6
  • [5] Transcriptome comparison of dengue-susceptible and -resistant field derived strains of Colombian Aedes aegypti using RNA-sequencing
    Coatsworth, Heather
    Caicedo, Paola A.
    Winsor, Geoffrey
    Brinkman, Fiona
    Ocampo, Clara B.
    Lowenberger, Carl
    MEMORIAS DO INSTITUTO OSWALDO CRUZ, 2021, 116
  • [6] Transcriptional profiling of mammary gland in Holstein cows with extremely different milk protein and fat percentage using RNA sequencing
    Cui, Xiaogang
    Hou, Yali
    Yang, Shaohua
    Xie, Yan
    Zhang, Shengli
    Zhang, Yuan
    Zhang, Qin
    Lu, Xuemei
    Liu, George E.
    Sun, Dongxiao
    BMC GENOMICS, 2014, 15
  • [7] Metabolic changes of Issatchenkia orientalis under acetic acid stress by transcriptome profile using RNA-sequencing
    Li, Yueqi
    Li, Yingdi
    Li, Ruoyun
    Liu, Lianliang
    Miao, Yingjie
    Weng, Peifang
    Wu, Zufang
    INTERNATIONAL MICROBIOLOGY, 2022, 25 (03) : 417 - 426
  • [8] Immune Transcriptome Study of Human Nucleated Erythroid Cells from Different Tissues by Single-Cell RNA-Sequencing
    Perik-Zavodskii, Roman
    Perik-Zavodskaia, Olga
    Shevchenko, Julia
    Denisova, Vera
    Alrhmoun, Saleh
    Volynets, Marina
    Tereshchenko, Valeriy
    Zaitsev, Konstantin
    Sennikov, Sergey
    CELLS, 2022, 11 (22)
  • [9] Transcriptional profiling of swine mammary gland during the transition from colostrogenesis to lactogenesis using RNA sequencing
    Palombo, V
    Loor, J. J.
    D'Andrea, M.
    Vailati-Riboni, M.
    Shahzad, K.
    Krogh, U.
    Theil, P. K.
    BMC GENOMICS, 2018, 19
  • [10] Effect of consuming endophyte-infected fescue seed on transcript abundance in the mammary gland of lactating and dry cows, as assessed by RNA sequencing
    Capuco, Anthony, V
    Bickhart, Derek
    Li, Congjun
    Evock-Clover, Christina M.
    Choudhary, Ratan K.
    Grossi, Paolo
    Bertoni, Giuseppe
    Trevisi, Erminio
    Aiken, Glen E.
    McLeod, Kyle R.
    Baldwin, Ransom L.
    JOURNAL OF DAIRY SCIENCE, 2018, 101 (11) : 10478 - 10494