Literature DB >> 24928548

Gene expression analysis in MCF-7 breast cancer cells treated with recombinant bromelain.

Nour Fouz1, Azura Amid, Yumi Zuhanis Has-Yun Hashim.   

Abstract

The contributing molecular pathways underlying the pathogenesis of breast cancer need to be better characterized. The principle of our study was to better understand the genetic mechanism of oncogenesis for human breast cancer and to discover new possible tumor markers for use in clinical practice. We used complimentary DNA (cDNA) microarrays to compare gene expression profiles of treated Michigan Cancer Foundation-7 (MCF-7) with recombinant bromelain and untreated MCF-7. SpringGene analysis was carried out of differential expression followed by Ingenuity Pathway Analysis (IPA), to understand the underlying consequence in developing disease and disorders. We identified 1,102 known genes differentially expressed to a significant degree (p<0.001) changed between the treatment. Within this gene set, 20 genes were significantly changed between treated cells and the control cells with cutoff fold change of more than 1.5. These genes are RNA-binding motif, single-stranded interacting protein 1 (RBMS1), ribosomal protein L29 (RPL29), glutathione S-transferase mu 2 (GSTM2), C15orf32, Akt3, B cell translocation gene 1 (BTG1), C6orf62, C7orf60, kinesin-associated protein 3 (KIFAP3), FBXO11, AT-rich interactive domain 4A (ARID4A), COPS2, TBPL1|SLC2A12, TMEM59, SNORD46, glioma tumor suppressor candidate region gene 2 (GLTSCR2), and LRRFIP. Our observation on gene expression indicated that recombinant bromelain produces a unique signature affecting different pathways, specific for each congener. The microarray results give a molecular mechanistic insight and functional effects, following recombinant bromelain treatment. The extent of changes in genes is related to and involved significantly in gap junction signaling, amyloid processing, cell cycle regulation by BTG family proteins, and breast cancer regulation by stathmin1 that play major roles.

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Year:  2014        PMID: 24928548     DOI: 10.1007/s12010-014-0947-6

Source DB:  PubMed          Journal:  Appl Biochem Biotechnol        ISSN: 0273-2289            Impact factor:   2.926


  4 in total

1.  iTRAQ-based quantitative proteomic analysis of Yamanaka factors reprogrammed breast cancer cells.

Authors:  Kun Wang; Zhiyan Shan; Lian Duan; Tiantian Gong; Feng Liu; Yue Zhang; Zhendong Wang; Jingling Shen; Lei Lei
Journal:  Oncotarget       Date:  2017-05-23

2.  An Integrating Approach for Genome-Wide Screening of MicroRNA Polymorphisms Mediated Drug Response Alterations.

Authors:  Xianyue Wang; Hong Jiang; Wei Wu; Rongxin Zhang; Lingxiang Wu; Huan Chen; Pengping Li; Yumin Nie; Jiaofang Shao; Yan Li; Xue Lin; Sali Lv; Qh Wang; Jie Hu
Journal:  Int J Genomics       Date:  2017-04-05       Impact factor: 2.326

3.  Transcriptomic response of breast cancer cells to anacardic acid.

Authors:  David J Schultz; Abirami Krishna; Stephany L Vittitow; Negin Alizadeh-Rad; Penn Muluhngwi; Eric C Rouchka; Carolyn M Klinge
Journal:  Sci Rep       Date:  2018-05-23       Impact factor: 4.379

Review 4.  Beneficial Properties of Bromelain.

Authors:  Pawel Hikisz; Joanna Bernasinska-Slomczewska
Journal:  Nutrients       Date:  2021-11-29       Impact factor: 5.717

  4 in total

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