Detection of the Sickle Cell Anaemia Disease by Simple and Efficient Way
Anindya Sundar De1
Section:Research Paper, Product Type: Journal Paper
Volume-7 ,
Issue-3 , Page no. 68-71, Mar-2019
CrossRef-DOI: https://doi.org/10.26438/ijcse/v7i3.6871
Online published on Mar 31, 2019
Copyright © Anindya Sundar De . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
View this paper at Google Scholar | DPI Digital Library
How to Cite this Paper
- IEEE Citation
- MLA Citation
- APA Citation
- BibTex Citation
- RIS Citation
IEEE Style Citation: Anindya Sundar De, “Detection of the Sickle Cell Anaemia Disease by Simple and Efficient Way,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.3, pp.68-71, 2019.
MLA Style Citation: Anindya Sundar De "Detection of the Sickle Cell Anaemia Disease by Simple and Efficient Way." International Journal of Computer Sciences and Engineering 7.3 (2019): 68-71.
APA Style Citation: Anindya Sundar De, (2019). Detection of the Sickle Cell Anaemia Disease by Simple and Efficient Way. International Journal of Computer Sciences and Engineering, 7(3), 68-71.
BibTex Style Citation:
@article{De_2019,
author = {Anindya Sundar De},
title = {Detection of the Sickle Cell Anaemia Disease by Simple and Efficient Way},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {3 2019},
volume = {7},
Issue = {3},
month = {3},
year = {2019},
issn = {2347-2693},
pages = {68-71},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3798},
doi = {https://doi.org/10.26438/ijcse/v7i3.6871}
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i3.6871}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3798
TI - Detection of the Sickle Cell Anaemia Disease by Simple and Efficient Way
T2 - International Journal of Computer Sciences and Engineering
AU - Anindya Sundar De
PY - 2019
DA - 2019/03/31
PB - IJCSE, Indore, INDIA
SP - 68-71
IS - 3
VL - 7
SN - 2347-2693
ER -
VIEWS | XML | |
417 | 325 downloads | 197 downloads |
Abstract
Through the proposed method it can be clearly known that a human being (specially a human baby) is suffering from sickle cell anaemia or not by a fast and efficient way. This disease is caused by mutation of the gene controlling Beta-chain of haemoglobin (Hb). It replaces Glutamic acid (GAG) present at 6th position of the Beta-chain by Valine (GTG). The mutant haemoglobin molecule undergoes polymerization under low Oxygen tension causing the change in the shape of the RBC from biconcave disc to elongated Sickle-like structure. With the help of this test, it can be known that a human is a Mutant of this disorder or not, which can save the life of new generation.
Key-Words / Index Term
Beta chain of Haemoglobin, Glutamic acid, Valine
References
[1] Baldi P and Brunak S (1998) Bioinformatics: The Machine Learning Approach, MITPress, Cambridge, MA.
[2] Athey J, Alexaki A, Osipova E, Rostovtsev A, Santana-Quintero LV, Katneni U, Simonyan V, Kimchi-Sarfaty C (2017) A new and updated resource for codon usage tables. BMC Bioinformatics Sept 2, 2017.
[3] Chaney JL, Clark PL (2015) Roles for Synonymous Codon Usage in Protein Biogenesis. Annu Rev Biophys, 2015 Feb 26.
[4] Hecht A, Glasgow J, Jaschke PR, Bawazer LA, Munson MS, Cochran JR, Endy D, Salit M (2017) Measurements of translation initiation from all 64 codons in E.coli : Nucleic Acids Research Apr 20, 2017.
[5] Collins FS, Green ED, Guttmacher AE, Guyer MS, U.S. National Human Genome Research Institute. A vision for the future of genomics research. Nature 2003;422:835– 47.
[6] Strouse J (2016), Sickle Cell disease. Handbook of clinical Neurology 2016; 138:311-24.
[7] 7. Roses AD. Pharmacogenetics and the practice of medicine. Nature 2000;405:857.
[8] Williams RSaG.-C PJ. The genetics of cardiovascular disease: from genotype to phenotype. Dialogues in Cardiovascular Medicine 2004; 9:3–19.
[9] Guttmacher AE, Collins FS. Genomic medicine—a primer. N Engl J Med 2002;347:1512–20.
[10] Cook SA, Rosenzweig A. DNA microarrays: implications for cardiovascular medicine. Circ Res 2002;91:559 – 64.
[11] Goldsmith ZG, Dhanasekaran N. The microrevolution: applications and impacts of microarray technology on molecular biology and medicine (review). Int J Mol Med 2004;13:483–95.
[12] Napoli C, Lerman LO, Sica V, Lerman A, Tajana G, de Nigris F. Microarray analysis: a novel research tool for cardiovascular scientists and physicians. Heart 2003;89:597– 604
[13] Patino WD, Mian OY, Kang JG, et al. Circulating transcriptome reveals markers of atherosclerosis. Proc Natl Acad SciUSA 2005;102: 3423– 8.
[14] van de Vijver MJ, He YD, van’t Veer LJ, et al. A gene-expression signature as a predictor of survival in breast cancer. N Engl J Med 2002;347:1999 –2009.
[15] Bild AH, Yao G, Chang JT, et al. Oncogenic pathway signatures in human cancers as a guide to targeted therapies. Nature 2006;439: 353–7.
[16]. Berchuck A, Iversen ES, Lancaster JM, et al. Patterns of gene expression that characterize long-term survival in advanced stage serous ovarian cancers. Clin Cancer Res 2005;11:3686 –96.