Literature DB >> 32219771

Methodology to analyze gene expression patterns of early mammary development in pig models.

Matthew A Moss1, Breanne Williams2, Farzana Ferdous3, Tom Scott4, Heather W Dunn5.   

Abstract

In mammary gland development, normal stem cell activity occurs in the embryonic stage and postnatally. Research supports that certain breast cancers contain a small sub-population of cells that mimic stem-like activity. It is believed stem cell activation in the mutated mature human mammary tissue is what drives quiescent epithelial cells to convert to mesenchymal states initiating migration, invasion, and metastasis in breast cancer. The goal of the work reported herein was to investigate early mammary development gene expression in the postnatal pig using fine needle biopsy methods in order to establish a reliable model for human breast cancer detection. Tissue samples were collected from pig mammary glands beginning at Day 11 of age through Day 39 in order to capture early postnatal-growth gene expression. Based on the initial clustering analysis, two distinct clusters of gene expression profiles occurred before and after Day 25 of mammary development. Gene set enrichment analysis (GSEA) ontology indicated the cellular processes that changed after Day 25, and many of these processes were implicated in epithelial-mesenchymal transition (EMT) signaling events. Gene expression in the postnatal pig was compared with the Epithelial-Mesenchymal Transition gene database (dbEMT) confirming the presence of EMT activity in this early developmental program. Information from this study will provide insight into early postnatal mammary gland development. In addition, mechanisms exploited by mutated mammary epithelial cells leading to cancer initiation and growth may be detected considering that mutated mammary epithelial cells can reactivate early developmental signals.

Entities:  

Keywords:  Breast cancer; Development; Gene expression; Mammary; Pig model

Mesh:

Year:  2020        PMID: 32219771     DOI: 10.1007/s11033-020-05362-1

Source DB:  PubMed          Journal:  Mol Biol Rep        ISSN: 0301-4851            Impact factor:   2.316


  43 in total

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3.  EMT and MET in metastasis: where are the cancer stem cells?

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4.  Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles.

Authors:  Aravind Subramanian; Pablo Tamayo; Vamsi K Mootha; Sayan Mukherjee; Benjamin L Ebert; Michael A Gillette; Amanda Paulovich; Scott L Pomeroy; Todd R Golub; Eric S Lander; Jill P Mesirov
Journal:  Proc Natl Acad Sci U S A       Date:  2005-09-30       Impact factor: 11.205

5.  PRRX1 promotes epithelial-mesenchymal transition through the Wnt/β-catenin pathway in gastric cancer.

Authors:  Jinbao Guo; Zhongxue Fu; Jinlai Wei; Weidong Lu; Jihong Feng; Shouru Zhang
Journal:  Med Oncol       Date:  2014-11-27       Impact factor: 3.064

Review 6.  EMT, CSCs, and drug resistance: the mechanistic link and clinical implications.

Authors:  Tsukasa Shibue; Robert A Weinberg
Journal:  Nat Rev Clin Oncol       Date:  2017-04-11       Impact factor: 66.675

7.  PRL-3 engages the focal adhesion pathway in triple-negative breast cancer cells to alter actin structure and substrate adhesion properties critical for cell migration and invasion.

Authors:  Hamid H Gari; Gregory D DeGala; Rahul Ray; M Scott Lucia; James R Lambert
Journal:  Cancer Lett       Date:  2016-07-21       Impact factor: 8.679

8.  The RNA-seq approach to discriminate gene expression profiles in response to melatonin on cucumber lateral root formation.

Authors:  Na Zhang; Hai-Jun Zhang; Bing Zhao; Qian-Qian Sun; Yun-Yun Cao; Ren Li; Xin-Xin Wu; Sarah Weeda; Li Li; Shuxin Ren; Russel J Reiter; Yang-Dong Guo
Journal:  J Pineal Res       Date:  2013-10-15       Impact factor: 13.007

Review 9.  Remodelling of Ca2+ transport in cancer: how it contributes to cancer hallmarks?

Authors:  Natalia Prevarskaya; Halima Ouadid-Ahidouch; Roman Skryma; Yaroslav Shuba
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2014-02-03       Impact factor: 6.237

10.  Differential expression analysis for sequence count data.

Authors:  Simon Anders; Wolfgang Huber
Journal:  Genome Biol       Date:  2010-10-27       Impact factor: 13.583

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  1 in total

1.  The Landscape of Genomic Imprinting at the Porcine SGCE/PEG10 Locus from Methylome and Transcriptome of Parthenogenetic Embryos.

Authors:  Jinsoo Ahn; In-Sul Hwang; Mi-Ryung Park; In-Cheol Cho; Seongsoo Hwang; Kichoon Lee
Journal:  G3 (Bethesda)       Date:  2020-11-05       Impact factor: 3.154

  1 in total

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