Call for Paper - October 2019 Edition
IJCA solicits original research papers for the October 2019 Edition. Last date of manuscript submission is September 20, 2019. Read More

Study of miRNA Let-7 Involvement in Breast Cancer through the Light of Graph Theory and Canalizing Function

Print
PDF
IJCA Proceedings on National Conference cum Workshop on Bioinformatics and Computational Biology
© 2014 by IJCA Journal
NCWBCB - Number 3
Year of Publication: 2014
Authors:
Antara Sengupta
Camellia Ray
Pabitra Pal Choudhury

Antara Sengupta, Camellia Ray and Pabitra Pal Choudhury. Article: Study of miRNA Let-7 Involvement in Breast Cancer through the Light of Graph Theory and Canalizing Function. IJCA Proceedings on National Conference cum Workshop on Bioinformatics and Computational Biology NCWBCB(3):26-29, May 2014. Full text available. BibTeX

@article{key:article,
	author = {Antara Sengupta and Camellia Ray and Pabitra Pal Choudhury},
	title = {Article: Study of miRNA Let-7 Involvement in Breast Cancer through the Light of Graph Theory and Canalizing Function},
	journal = {IJCA Proceedings on National Conference cum Workshop on Bioinformatics and Computational Biology},
	year = {2014},
	volume = {NCWBCB},
	number = {3},
	pages = {26-29},
	month = {May},
	note = {Full text available}
}

Abstract

miRNAs are small, non-coding RNAs and of 21-25 nucleotide in size. They negatively regulate protein-coding mRNAs at the post-transcriptional level. miRNAs play very important roles in various biological processes like cell growth, differentiation, and development. Abnormal expressions of miRNAs can lead various diseases including cancer and therefore miRNAs are considered as strong diagnostic and therapeutic candidates for the treatment of human diseases. The let-7 "lethal-7" is a microRNA and has active participation in Breast cancer. Not only that but also let-7 affects self-renewal ability of cancer cells. So it may be novel idea to make cancer therapy by targeting let-7 in breast cancer patients. In this paper we have tried to study the Gene Regulatory Network(GRN) of Let-7 in Breast Cancer through the light of Graph theory and Canalizing function.

References

  • A. Ahmad; A. S. Ali; S. Ali,; Z. Wang,; D. Kong,; F. H. Sarkar, ;" MicroRNAs: Targets of Interest in Breast Cancer Research. In MicroRNA: Expression, Detection and Therapeutic Strategies"; Mulligan, J. A. , Ed. ; Nova Science Publishers, Inc. : Hauppauge, NY, USA, 2011; pp. 59–78.
  • M. E. Peter, "Let-7 and miR-200 microRNAs: Guardians against pluripotency and cancer progression. " Cell Cycle 2009, 8, 843–852.
  • J. Jiang;E. J. Lee; Y. Gusev; T. D. Schmittgen, "Real-time expression profiling of microRNA precursors in human cancer cell lines. " Nucleic Acids Res. 2005, 33, 5394–5403.
  • F. Yu; H. Yao; P. Zhu; X. Zhang; Q. Pan; C. Gong; Y. Huang,; X. Hu; F. Su; J. Lieberman,;et al. "let-7 regulates self renewal and tumorigenicity of breast cancer cells. " Cell 2007, 131,1109–1123.
  • F. Karlsson, M. Hornquist, " Order or chaos in Boolean gene networks depends on the mean fraction of canalizing functions " physica A 384(2007), 747-757.
  • S. Nikolajewa, M. Friedel and T. Wilhelm," Boolean network with Biologically relevant rules shows order behavior. " Biosystems; 01/2007; 90(1):40-7. DOI:10. 1016
  • Franziska Hinkelmann; Abdul Salam Jarrah; " Inferring Biologically Relevant Models: Nested Canalyzing Functions ", arXiv:1011. 6064 [math. AC] 28 Nov 2010
  • L. Layne; E. Dimaitrova; M. Macauley; " Nested Canalyzing Depth and Network Stability ", arXiv:1111. 2759v1 [q-bio. MN] 11 Nov 2011
  • D. Barh; R. Malhotra; B. Ravi; P. Sindhurani, "MicroRNA let-7: An emerging next-generation cancer therapeutic. " Curr. Oncol. 2010, 17, 70–80.
  • R. Albert ;" Network inference, analysis, and modelling in systems biology. " The PlantCell, Vol. 19, (November 2007), pp. 3327-3338, ISSN 1532-298X.
  • I. Shmulevich; E. R. Doughtery ; S. Kim; & W. Zhang, "Probabilistic Boolean networks: a rule-based uncertainty model for gene regulatory networks. " Bioinformatics, Vol. 18, No. 2, pp. 261-274, ISSN 1460-2059.
  • Shell S. ; Park S. M. ; Radjabi A. R. ; Schickel R. ; Kistner E. O. ; Jewell D. A. ; Feig C. ; Lengyel E. ; Peter M. E. ; "Let-7 expression defines two Differentiation stages of cancer" Proc. Natl. Acad. Sci, USA 2007, 104, 110400-110405.
  • Roush S. , Slack F. J. ;" The let-7 family of microRNAs" 2008 Oct;18(10):505-16. doi: 10. 1016/j. tcb. 2008. 07. 007.
  • Joy Tang, Aamir Ahmed, Fazlul H. Sarkar"The Role of MicroRNAs in Breast Cancer Migration, Invasion and Metastasis "
  • Hidde De Jong "Modeling and Simulation of Gene Regulatory Systems: A Literature review" Journal of Computational Biology, Volume 9, Number 1, 2002.
  • Zhong Ju Zhang and Shi Liangma,"miRNAs in breast cancer tumorigenesis (Review)"; 2012 Apr;27(4):903-10. doi: 10. 3892/ or. 2011. 1611. Epub 2011 Dec 23.
  • Benjamin Boyerinas, Sun-Mi Park, Annika Hau, Andrea E Murmann and Marcus E Peter, "The role of let-7 in cell differentiation and cancer"; Endocrine-Related Cancer (2010) 17 F19–F36.
  • H. Enderling et. al "A mathematical model of breast cancer development, local treatment and recurrence. "; J. Theor Biol. 2007 May 21;246(2):245-59. Epub 2006 Dec 12.
  • F. Emert-Streib et. al "The gene regulatory network for breast cancer: integrated regulatory landscape of cancer hallmarks"; Front. Genet. , 03 February 2014 | doi: 10. 3389/fgene. 2014. 00015.