Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Remarks on Invariant Method of the Second-Order Linear Differential Equations with Variable Coefficients Read chapter Read first chapter

2013 | OriginalPaper | Chapter

Research on Breast Cancer Metastasis Related miRNAs Network Based on a Boolean Network

Authors : Wenying Zhao, Yafei Dong

Published in: Proceedings of The Eighth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA), 2013

Publisher: Springer Berlin Heidelberg

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Breast cancer (BC), which is one of the major malignant tumors, is a serious threat to women’s health with noticeably increased mortality. BC starts as a local disease, but it can metastasize to the other organs. Metastatic BC is the major difficult factor for treatment of advanced breast cancer. It suggests that early diagnosis for patients is of vital importance. Recent studies proved the involvement of microRNAs (miRNAs) in BC metastases. It was found that miRNAs contribute to oncogenesis by functioning as down-regulated tumor suppressors, and also can function as over-expressed oncogenes. The goal of this study is to construct a comprehensive BC metastasis related miRNAs regulatory network by collecting and integrating relevant information, the analysis results based on a Boolean network shows that it has great biological significances and provides new perspective for the later research.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter Synthetic Decision Support of Broadcasting and Television System
next chapter Design of Gas Monitoring System Based On Embedded ZigBee Module
Literature
1.
Toi M, Ohashi Y, Seow A (2010) The breast cancer working group presentation was divided into three sections: the epidemiology, pathology and treatment of breast cancer. Jpn J Clin Oncol 1:13–18CrossRef
2.
Garzon R, Calin GA, Croee CM (2009) MicroRNAs in cancer. Annu Rev Med 60:167–179CrossRef
3.
Calin GA, Sevignani C, Dumitru CD (2004) Human microRNA genes are frequently located at fragile sites and genomic regions involved in cancers. Proc Natl Acad Sci USA 9:2999–3004CrossRef
4.
Ota A, Tagawa H, Karnan S (2004) Identification and characterization of a novel gene, C13 or f25, as a target for 13q31-q32 amplification in malignant lymphoma. Cancer Res 64:3087–3095CrossRef
5.
Ma L, Teruya-Feldstein J, Weinberg RA (2007) Tumor invasion and metastasis Initiated by microRNA-10b in breast cancer. Nature 449:682–688CrossRef
6.
Kauffman SA (1969) The large-scale structure and dynamics of gene control circuits. Ensemble Approach Theor 1:167–190
7.
Kauffman SA (1993) The origins of order: self–organization and selection in evolution. Oxford University Press, New York, pp 460–462, 467, 479
8.
Ranadip P, Ivan I, Aniruddha D, Michael L, Bittner ER (2005) Generating Boolean networks with a prescribed attractor structure. Bioinformatics 21:4021–4025CrossRef
9.
Iorio M, Ferracin M, Liu CG (2005) MicroRNA gene expression deregulation in human breast cancer. Cancer Res 65:7065–7070CrossRef
10.
Huang Q, Gumireddy K, Schrier M (2008) The microRNAs miR- 373 and miR-520c promote tumor invasion and metastasis. Nat Cell Biol 2:202–210CrossRef
11.
Milena S, Nicoloso S, Masayoshi S, Simona R, George AC (2009) MicroRNAs—the micro steering wheel of tumor metastases. Nat Rev Cancer 9:293–302CrossRef
12.
Kong W, Yang H, He L (2008) MicroRNA-155 is regulated by the transforming growth factor beta/Samd pathway and contributes to epithelial cell plasticity by targeting RhoA. Mol Cell Biol 22:6773–6784CrossRef
13.
Kong X, Li G, Yuan Y, He Y, Wu X, Zhang W, Wu Z, Chen T, Wu W, Lobie PE, Zhu T (2012) MicroRNA-7 inhibits epithelial–to–mesenchymal transition and metastasis of breast cancer cells via targeting FAK expression. PLoS ONE 7(8):e41523CrossRef
14.
Tavazoie SF, Alarcon C, Oskarsson T (2008) Endogenous human microRNAs that suppress breast cancer metastasis. Nature 7175:147–152CrossRef
15.
Png KJ, Yoshida M, Zhang XHF (2011) MicroRNA-335 inhibits tumor reinitiation and is silenced through genetic and epigenetic mechanisms in human breast cancer. Genes Dev 25:226–231CrossRef
16.
Hurst DR, Edmonds MD, Scott GK, Benz CC, Vaidya KS, Welch DR (2009) Breast cancer metastasis suppressor 1 up-regulates miR-146, which suppresses breast cancer metastasis. Cancer Res 4:79–83
17.
Gregory PA, Bert AG, Paterson EL (2008) The mir-200 family and mir-205 regulate epithelial to mesenchymal transition by targeting ZEB1 and SIP1. Nat Cell Biol 5:593–601CrossRef
18.
Benenson Y, Paz–Elizur T, Adar R, Keinan E, Livneh Z (2001) Programmable and autonomous computing machine made of biomolecules. Nature 22:430–434CrossRef
19.
Benenson Y, Gil B, Ben–Dor U, Adar R, Shapiro E (2004) An autonomous molecular computer for logical control of gene expression. Nature 429:423–429CrossRef
20.
Rinaudo K, Bleris L, Maddamsetti R, Subramanian S, Weiss R, Benenson Y (2007) A universal RNAi–based logic evaluator that operates in mammalian cells. Nat Biotechnol 7:795–801CrossRef
21.
Xie Z, Wroblewska L, Prochazka L, Weiss R, Benenson Y (2011) Multi-input RNAi-based logic circuit for identification of specific cancer cells. Science 6047:1307–1311CrossRef
22.
Rajnish K, Anju S, Rajesh KT (2012) Application of microarray in breast cancer: an overview. J Pharm Bioallied Sci 1:21–26
23.
Russnes HG, Nicholas N, James H (2011) Insight into the heterogeneity of breast cancer through next-generation sequencing. J Clin Invest 10:3810–3818CrossRef
24.
Shaomei F, Hongwei Z, Mofang L, Shuai J, Minghua L (2011) Expression of miR-155 and miR-21in breast cancer tissue. Chin J Exp Surg 8:1240–1241
Metadata
Title
Research on Breast Cancer Metastasis Related miRNAs Network Based on a Boolean Network
Authors
Wenying Zhao
Yafei Dong
Copyright Year
2013
Publisher
Springer Berlin Heidelberg
Book
Proceedings of The Eighth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA), 2013

Print ISBN: 978-3-642-37501-9

Electronic ISBN: 978-3-642-37502-6

Copyright Year: 2013

DOI
https://doi.org/10.1007/978-3-642-37502-6_91

Premium Partner

    Image Credits