ORIGINAL_ARTICLE
Genetic variations among three major ethnic groups in Nigeria using RAPD
Genetically, every individual is unique; this may stem from inheritance, geographical locations, and/or environmental interactions. This study examined the possibility of developing a cheap and easy-to-use marker that can distinguish among the three ethnic groups in Nigeria using RAPD-PCR. Five RAPD primers, OPA1-3 and OPC1-2, were randomly selected and used to amplify DNA samples isolated from blood of eighteen human subjects representing the three major ethnic groups in Nigeria (six subjects each). Genomic DNAs were extracted using DNA isolation kit, RAPD-PCR amplification was performed and gel electrophoresis was done. Genetic similarity between the band polymorphism was evaluated as frequencies of occurrence and the phylogenetic tree constructed. Three of the five primers show various polymorphisms; the highest frequency band for primer OPA1 is 50% while that of primer OPA2 is 100% and for OPC2 is 83.33%. Although OPA2 has common bands in majority of the samples few of the bands are ethnic group specific. Bands 471 and 435 bp are specific for the Hausa ethnic group at 66.67% frequency. Similarly, in primer OPC2, band 320 can be used to distinguish the Hausas from the other two ethnic groups. Analysis of variance (ANOVA) and test for homogeneity showed that there is no significant difference in the polymorphism between and among the groups. In conclusion this research has given an insight into the possibility of developing RAPD primers that could be used to distinguish people of different ethnic groups.
https://mbrc.shirazu.ac.ir/article_4800_00017b9f74104398fa6b6f75254ee98b.pdf
2018-06-01
51
58
10.22099/mbrc.2018.26098.1280
Nigerian ethnic
RAPD-PCR
Genetic Variation
PyElph
Phylogeny
Olukanni A.
Titilayo
adedayoadefeso@gmail.com
1
Department of Cell Biology and Genetics, University of Lagos. P.M.B. 56, Akoka, Lagos State, Nigeria Nigeria
AUTHOR
Amoo O.
Samuel
fhemy2003@yahoo.com
2
Human Virology Laboratory, Nigerian Institute of Medical Research, P.M.B 2013, Yaba, Lagos, Nigeria
AUTHOR
Olukanni O.
David
olukannio@run.edu.ng
3
Department of Chemical Sciences (Biochemistry), Redeemer’s University. P.M.B. 230, Ede, Osun State, Nigeria
LEAD_AUTHOR
Taiwo I.
Adewunmi
itaiwo@unilag.edu.ng
4
Department of Cell Biology and Genetics, University of Lagos. P.M.B. 56, Akoka, Lagos State, Nigeria Nigeria
AUTHOR
1. Erskine W, Muehlbauer FJ. Allozyme and morphological variability, out crossing rate and core collection formation in lentil germplasm. Theor Appl Genet 1991;83:119-125
1
2. Kumar P, Gupta VK, Misra AK, Modi DR, Pandey BK. Potential of molecular markers in plant biotechnology. Plant Omics 2009;2:141-162.
2
3. Bennett JS, Jolley KA, Earle SG, Corton C, Bentley SD, Parkhill J, Maiden MCJ. A genomic approach to bacterial taxonomy: an examination and proposed reclassification of species within the genus Neisseria. Microbiology 2012;158:1570-1580.
3
4. Kumar NS, Gurusubramanian G. Random amplified polymorphic DNA (RAPD) markers and its applications. “National Level Workshop on Random Amplified Polymorphic DNA (RAPD) markers and it’s Applications.” Sci Vision 2011;11:116-124.
4
5. Williams JG, Kbelik AR, Livak KJ, Rafalsk JA, Tingey SV. DNA polymorphisms amplified by arbitrary primers are useful as genetic markers. Nucleic Acids Res 1990;18:6531-6535.
5
6. Mbwana J, Bolin L, Lyamuya E, Mhalu F, Lagergard T. Molecular characterization of Haemophilus ducreyi isolates from different geographical locations. J Clinical Microbiol 2006;44:132-137.
6
7. Nur-Nazifah M, Sabri MY, Zamri-Saad M, Siti-Zahrah A, Firdaus-Nawi M. Random amplified polymorphic DNA (RAPD): a powerful method to differentiate Streptococcus agalactiae strains. In Symposia Proceeding of Diseases in Asian Aquaculture VII ed. Bondad-Reantaso, MG, Jones, JB, Corsin, F and Aoki T. 2011; pp. 29-38. Selangor, Malaysia: Fish Health Section, Asian Fisheries Society.
7
8. Arif IA, Bakir MA, Khan HA, Alfarhan AH, Al Homaidan AA, Bahkali AH, Alsadoon M, Shobrak M. Application of RAPD for molecular characterization of plant species of medicinal value from an arid environment. Genet Mol Res.2010;9:2191-2198.
8
9. Liu P, Yang YS, Hao CY Guo WD. Ecological risk assessment using RAPD and distribution pattern of a rare and endangered species. Chemosphere 2007;68:1497-1505.
9
10. Zheng W, Wang L, Meng L, Liu J. Gene variation in the endangered Anisodu Tanguticus (Solanacceae) an alphine perennial endemic to the Qinghai-Tibetan Plateau. Genetica 2008; 132:123-129.
10
11. Sifau MO, Akinpelu A, Ogunkanmi LA, Adekoya KO, Oboh BO, Ogundipe OT. Genetic diversity in Nigerian brinjal egg plant (Solanum melongena L.) as revealed by random amplified polymorphic DNA (RAPD) markers. Afr J Biotechnol2014;13:2119-2126.
11
12. Sharma A, Kaur R, Gauguly NK, Singh PD, Chakraborti A. Subtype distribution of Haemophilus influenzae isolates from north India. J Med Microbiol 2002;51:399-404.
12
13. Eboh DE. Fingerprint patterns in relation to gender and blood group among students of Delta State University, Abraka, Nigeria. J Exp Clin Anat 2013;12:82-86.
13
14. Oladapo OO, Igbigbi PS. Palmar and digital dermatogylyphic patterns of the three ethnic groups in Nigeria. Afr J Med Med Sci 2009;37:333-337.
14
15. Pavel AB, Vasile CL. PyElph - a software tool for gel images analysis and phylogenetics. BMC bioinformatics 2012;13:9.
15
16. Papadopoulos S, Benter T, Anastassiou G, Pape M, Gerhard S, Bornfeld N, Ludwig WD, Dorken B. Assessment of genomic instability in breast cancer and uveal melanoma by random amplified polymorphic DNA analysis. Int J Cancer 2002;99:193-200.
16
17. Grundman H, Scheider C, Hartung D, Daschner FD, Pitt TL. Discriminatory power of three based typing techniques or P. aeruginosa. J Clin Microbiol1995; 33:528-534.
17
18. Ismaeel HM. Identification of genomic markers by RAPD – PCR Primers in Iraq Breast Cancer patients. Iraq J Sci 2013;54:97-104.
18
19. Bryc K, Auton A, Nelson MR, Oksenberg JR, Hauser SL, Williams S, Froment A, Bodo JM,Wambebe C, Tishkoff SA, Bustamante CD. Genome-wide patterns of population structure and admixture in West Africans and African Americans. Proc Natl Acad Sci USA 2010; 107:786-791.
19
ORIGINAL_ARTICLE
A preliminary study of the association between the ABCA1 gene promoter DNA methylation and coronary artery disease risk
Coronary artery disease (CAD) is a common health problem in Iranian population. ATP binding cassette transporter A1 (ABCA1) plays central role in the efflux of the cholesterol from peripheral tissues back to liver. Inactivation of ABCA1 by epigenetic change such as DNA methylation may contribute to the development of CAD. The present study investigated the association between promoter DNA methylation status of ABCA1 with the development and severity of CAD. Our study population consisted of 110 angiographically documented CAD patients and 110 controls. The severity of CAD was determined based on the number of stenotic vessels showing more than 50% stenosis. Promoter DNA methylation status of ABCA1 was determined by methylation specific PCR. Lipid profile was determined by routine colorimetric methods. Results showed that the frequency of ABCA1 DNA methylation was significantly higher in CAD group as compared with control group (16.36% vs 5.45%; P=0.015). Also, the methylation frequency of ABCA1 gene was significantly higher in older CAD patients as compared with younger CAD patients (P=0.038). No association was seen between plasma lipid concentration and the promoter DNA methylation status of ABCA1 (P>0.05). Also, the association between the severity of CAD and methylation of ABCA1 gene was not significant (P>0.05). In conclusion the current study indicated ABCA1 DNA methylation as a significant risk factor for development but not severity of CAD. Also, predisposition to the development of CAD by ABCA1 gene DNA methylation was independent of plasma lipid concentration.
https://mbrc.shirazu.ac.ir/article_4814_5bb34ffb1808287c6526785244686a90.pdf
2018-06-01
59
65
10.22099/mbrc.2018.28910.1312
Coronary artery disease
Methylation
ATP binding cassette transporter A1
Habib
Ghaznavi
ghaznavih@yahoo.com
1
Health Promotion Research Centre, School of Medicine, Zahedan University of Medical Sciences, Zahedan, Iran
AUTHOR
Khalil
Mahmoodi
khalil_mahmoodi@yahoo.com
2
Department of Cardiology, School of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran
AUTHOR
Mohammad Soleiman
Soltanpour
soltanpourm@zums.ac.ir
3
Department of Medical Laboratory Sciences, School of Paramedical Sciences, Zanjan University of Medical Sciences, Zanjan, Iran
LEAD_AUTHOR
1. Sarrafzadegan N, Sadeghi M, Oveisgharan S, Iranipour R. Incidence of cardiovascular diseases in an Iranian population: the Isfahan Cohort Study. Arch Iran Med 2013;16:138-144.
1
2. Seidi A, Mirzaahmadi S, Mahmoodi K, Soltanpour MS. The association between NFKB1-94ATTG ins/del and NFKB1A -826C/T genetic variations and coronary artery disease risk. Mol Biol Res Commun 2018;7:17-24.
2
3. Nelson RH. Hyperlipidemia as a risk factor for cardiovascular disease. Prim Care 2013;40:195-211.
3
4. Yu XH, Fu YC, Zhang DW, Yin K, Tang CK. Foam cells in atherosclerosis. Clin Chim Acta 2013;424:245-252.
4
5. Annema W, Tietge UJ. Regulation of reverse cholesterol transport-a comprehensive appraisal of available animal studies. Nutr Metab (Lond) 2012;9:25.
5
6. Haghpassand M, Bourassa PA, Francone OL, Aiello RJ. Monocyte/macrophage expression of ABCA1 has minimal contribution to plasma HDL levels. J Clin Invest 2001;108:1315-1320.
6
7. Wang MD, Franklin V, Marcel YL. In vivo reverse cholesterol transport from macrophages lacking ABCA1 expression is impaired. Arterioscler Thromb Vasc Biol 2007;27:1837-1842.
7
8. Brunham LR, Singaraja RR, Hayden MR. Variations on a gene: rare and common variants in ABCA1 and their impact on HDL cholesterol levels and atherosclerosis. Annu Rev Nutr 2006;26:105-129.
8
9. Lu Y, Liu Y, Li Y, Zhang H, Yu M, Kanu JS, Qiao Y, Tang Y, Zhen Q, Cheng Y. Association of ATP-binding cassette transporter A1 gene polymorphisms with plasma lipid variability and coronary heart disease risk. Int J Clin Exp Pathol 2015; 8:13441-13449.
9
10. Puntoni M, Sbrana F, Bigazzi F, Sampietro T. Tangier disease: epidemiology, pathophysiology, and management. Am J Cardiovasc Drugs 2012;12:303-311.
10
11. Ghaznavi H, Aali E, Soltanpour MS. Association study of the ATP - binding cassette transporter A1 (ABCA1) rs2230806 genetic variation with lipid profile and coronary artery disease risk in an Iranian population. Open Access Maced J Med Sci 2018;6:274-279.
11
12. Cyrus C, Vatte C, Al-Nafie A, Chathoth S, Al-Ali R, Al-Shehri A, Akhtar MS, Almansori M, Al-Muhanna F, Keating B, Al-Ali A. The impact of common polymorphisms in CETP and ABCA1 genes with the risk of coronary artery disease in Saudi Arabians. Hum Genomics 2016;10:8.
12
13. Guay SP, Brisson D, Lamarche B, Gaudet D, Bouchard L. Epipolymorphisms within lipoprotein genes contribute independently to plasma lipid levels in familial hypercholest-erolemia. Epigenetics 2014;9:718-729.
13
14. Guay SP, Brisson D, Munger J, Lamarche B, Gaudet D, Bouchard L. ABCA1 gene promoter DNA methylation is associated with HDL particle profile and coronary artery disease in familial hypercholesterolemia. Epigenetics 2012;7:464-472.
14
15. Sayols-Baixeras S, Irvin MR, Elosua R, Arnett DK, Aslibekyan SW. Epigenetics of lipid phenotypes. Curr Cardiovasc Risk Rep 2016;10:31.
15
16. Lim DH, Maher ER. DNA methylation: a form of epigenetic control of gene expression. Obstet Gynecol 2010;12:37-42.
16
17. Fernández-Sanlés A, Sayols-Baixeras S, Subirana I, Degano IR, Elosua R. Association between DNA methylation and coronary heart disease or other atherosclerotic events: A systematic review. Atherosclerosis 2017;263:325-333.
17
18. Hai Z, Zuo W. Aberrant DNA methylation in the pathogenesis of atherosclerosis. Clin Chim Acta 2016;456:69-74.
18
19. Wang X, Collins HL, Ranalletta M, Fuki IV, Billheimer JT, Rothblat GH, Tall AR, Rader DJ. Macrophage ABCA1 and ABCG1, but not SR-BI, promote macrophage reverse cholesterol transport in vivo. J Clin Invest 2007;117:2216-2224.
19
20. Qi LP, Chen LF, Dang AM, Li LY, Fang Q, Yan XW. Association between the ABCA1-565C/T gene promoter polymorphism and coronary heart disease severity and cholesterol efflux in the Chinese Han population. Genet Test Mol Biomarkers 2015;19:347-352.
20
21. Guay SP, Légaré C, Houde AA, Mathieu P, Bossé Y, Bouchard L. Acetylsalicylic acid, aging and coronary artery disease are associated with ABCA1 DNA methylation in men. Clin Epigenetics 2014;6:14.
21
22. Peng P, Wang L, Yang X, Huang X, Ba Y, Chen X, Guo J, Lian J, Zhou J. A preliminary study of the relationship between promoter methylation of the ABCG1, GALNT2 and HMGCR genes and coronary heart disease. PloS one 2014 ;9:e102265.
22
23. Rowbotham DA, Marshall EA, Vucic EA, Kennett JY, Lam WL, Martinez VD. Epigenetic changes in aging and Age-related disease. J Aging Sci 2015;3:130.
23
24.Van Eck M, Bos IS, Kaminski WE, Orso E, Rothe G, Twisk J, Böttcher A, Van Amersfoort ES, Christiansen-Weber TA, Fung-Leung WP, Van Berkel TJ. Leukocyte ABCA1 controls susceptibility to atherosclerosis and macrophage recruitment into tissues. Proc Natl Acad Sci USA 2002;99:6298-6303.
24
25. Kyriakou T, Hodgkinson C, Pontefract DE, Iyengar S, Howell WM, Wong YK, Eriksson P, Ye S. Genotypic effect of the-565C>T polymorphism in the ABCA1 gene promoter on ABCA1 expression and severity of atherosclerosis. Arterioscler Thromb Vasc Biol 2005;25: 418-423.
25
26. Zeilinger S, Kühnel B, Klopp N, Baurecht H, Kleinschmidt A, Gieger C, Weidinger S, Lattka E, Adamski J, Peters A, Strauch K. Tobacco smoking leads to extensive genome-wide changes in DNA methylation. PLoS One 2013;8:e63812.
26
27. Steenaard RV, Ligthart S, Stolk L, Peters MJ, van Meurs JB, Uitterlinden AG, Hofman A, Franco OH, Dehghan A. Tobacco smoking is associated with methylation of genes related to coronary artery disease. Clin Epigenetics 2015;7:54.
27
ORIGINAL_ARTICLE
In silico mutational analysis and identification of stability centers in human interleukin-4
Interleukin-4 (IL-4) is a multifunctional cytokine that plays a critical role in apoptosis, differentiation and proliferation. The intensity of IL4 response depends upon binding to its receptor, IL-4R. The therapeutic efficiency of interleukins can be increased by generating structural mutants having greater stability. In the present work, attempts were made to increase the stability of human IL-4 using in-silico site directed mutagenesis. Different orthologous sequences of IL4 from Pan troglodytes, Aotusnigriceps, Macacamulatta, Papiohamadryas, Chlorocebusaethiops, Vicugnapacos, Susscrofa and Homo sapiens were aligned using Clustal Omega that revealed the conserved and non-conserved positions. For each non-conserved position, possible favorable and stabilizing mutations were found using CUPSAT with predicted ΔΔG (kcal/mol). The one with highest ΔΔG (kcal/mol) among all possible mutations, for each non-conserved position was selected and introduced manually in human IL-4 sequence resulting in multiple mutants of IL-4. Mutant proteins were modeled using structure of IL4 (PDB ID: 2B8U) as a template by SWISS MODEL. The mutants A49L and Q106T were identified to have stability centre using SCide. Molecular dynamics and docking analysis also confirmed the mutants stability and binding respectively. Mutants A49L and Q106T had -7.580079 kcal/mol and -39.418124 kcal/mol respectively lesser energy value than the wild type IL4. The result suggested that, the stability of human IL-4 has been increased by mutation.
https://mbrc.shirazu.ac.ir/article_4831_a7586fe998a9ff8101e0e29d05e3cd72.pdf
2018-06-01
67
76
10.22099/mbrc.2018.28855.1310
IL-4
stability centre
mutagenesis
cytokine
bioinformatics
Sandeep
Saini
sandeep.5sep@yahoo.co.in
1
Department of Bioinformatics, G.G.D.S.D. College, Chandigarh, India
LEAD_AUTHOR
Chander Jyoti-
Thakur
chander.jyoti@ggdsd.ac.in
2
Department of Bioinformatics, G.G.D.S.D. College, Chandigarh, India
AUTHOR
Varinder
Kumar
varinder@ggdsd.ac.in
3
Department of Bioinformatics, G.G.D.S.D. College, Chandigarh, India
AUTHOR
Akshay
Suhag
akshaysuhag1996@gmail.com
4
Department of Bioinformatics, G.G.D.S.D. College, Chandigarh, India
AUTHOR
Niharika
Jakhar
niharika1883@gmail.com
5
Department of Bioinformatics, G.G.D.S.D. College, Chandigarh, India
AUTHOR
1. Zhang JM, An J. Cytokines, Inflammation and Pain. International anesthesiology clinics. 2007;45:27-37.
1
2. Gulati K, Guhathakurta S, Joshi J, Rai N, Ray A. Cytokines and their Role in Health and Disease: A Brief Overview. MOJ Immunol 2016;4:00121.
2
3.Vazquez LR, Roome B, Christ D. Molecular engineering of therapeutic cytokines. Antibodies 2013;2:426-451.
3
4. Charles A D, Mier JW. Interleukins. Ann Rev Med 1986;37:173-178.
4
5. Akdis M, Aab A, Altunbulakli C, Azkur K, Costa RA, Crameri R, Duan S, Eiwegger T, Eljaszewicz A, Ferstl R, Frei R, Garbani M, Globinska A, Hess L, Huitema C, Kubo T, Komlosi Z, Konieczna P, Kovacs N, Kucuksezer UC, Meyer N, Morita H, Olzhausen J, O'Mahony L, Pezer M, Prati M, Rebane A, Rhyner C, Rinaldi A, Sokolowska M, Stanic B, Sugita K, Treis A, van de Veen W, Wanke K, Wawrzyniak M, Wawrzyniak P, Wirz OF, Zakzuk JS, Akdis CA. Interleukins from IL-1 to IL-38, interferons, transforming growth factor β, and TNF-α: Receptors, functions, and roles in diseases. J Allergy Clin Immunol 2016;138:984-1010.
5
6. Thompson D, Matsumoto A, Nebert DW, Vasiliou V.Evolutionary divergence and functions of the human interleukin (IL) gene family. Hum Genomics 2010;5:30-55.
6
7. Peters M. Actions of cytokines on the immune response and viral interactions: An overview. Hepatology 1996;23:909-916.
7
8. Shaikh PZ. Cytokines & their physiologic and pharmacologic functions in inflammation: A review. Int J Pharm Life Sci 2011;2:1247-1263.
8
9. Zamorano J, Rivas MD, Perez GM. Interleukin-4: A multifunctional cytokine. Inmunologia 2003;22:215-24.
9
10. Gadani SP, Cronk JC, Norris GT, Kipnis J. Interleukin-4: A Cytokine to Remember. J Immunol (Baltimore, Md : 1950) 2012;189:4213-4219.
10
11. Yu SJ, Kim HS, Cho SW, Sohn J. IL-4 inhibits proliferation of renal carcinoma cells by increasing the expression of p21 WAF1 and IRF-1. Exp Mol Med 2004;36:372-379.
11
12. Hu-Li J, Shevach EM, Mizuguchi J, Ohara J, Mosmann T, Paul WE. B cell stimulatory factor 1 (interleukin 4) is a potent costimulant for normal resting T lymphocytes. J Exp Med 1987;165:157-172.
12
13. Mandler R, Finkelman FD, Levine AD, Snapper CM. IL-4 induction of IgE class switching by lipopolysaccharide-activated murine B cells occurs predominantly through sequential switching. J Immunol 1993;150:407-418.
13
14. Anthony RM, Rutitzky L, Urban JF, Stadecker MJ, Gause WC. Protective immune mechanisms in helminth infection. Nat Rev Immunol 2007;7:975-987.
14
15. Nelms K, Keegan AD, Zamorano J, Ryan JJ, Paul WE. The IL-4 receptor: signaling mechanisms and biologic functions. Annu Rev Immunol 1999;17:701-738.
15
16. Izuhara K, Heike T, Otsuka T, Yamaoka K, Mayumi M, Imamura T, Niho Y, Harada N. Signal transduction pathway of interleukin-4 and interleukin-13 in human B cells derived from X-linked severe combined immunodeficiency patients. J Biol Chem 1996;271:619-622.
16
17. Tayal V, Kalra BS. Cytokines and anti-cytokines as therapeutics--an update. Eur J Pharmacol 2008;579:1-12.
17
18. Schooltink H, Rose-John S. Cytokines as therapeutic drugs. J Interferon Cytokine Res 2002;22:505-516.
18
19. Antony GK, Dudek AZ. Interleukin 2 in cancer therapy. Curr Med Chem 2010;17:3297-3302.
19
20. Razavi GSE, Allen T. Emerging Role of Interleukins in Cancer Treatment. Immunome Res 2015;S2:006.
20
21. Spangler JB, Moraga I, Mendoza JL, Garcia KC. Insights into cytokine-receptor interactions from cytokine engineering. Annu Rev Immunol 2015;33:139-167.
21
22. Zanotti G, Folli C, Cendron L, Alfieri B, Nishida SK, Gliubich F, Pasquato N, Negro A, Berni R. Structural and mutational analyses of protein-protein interactions between transthyretin and retinol-binding protein. FEBS J 2008;275:5841-5854.
22
23. Vignesh SN, Narayanan S, Sivanandham M. Mutational analysis on human granulocyte macrophage-colony stimulating factor stability using computational approaches. Trends Bioinform 2015;8:1-13.
23
24. Banerjee A, Ray S. Molecular modeling, mutational analysis and conformational switching in IL27: An in silico structural insight towards AIDS research. Gene 2016;576:72-78.
24
25. Dakshinamurthi AK, Chidambaram MV, Manivel VA, Detchanamurthy S. Site directed mutagenesis of human Interleukin-2 gene to increase the stability of the gene product- A bioinformatics approach. Int J Bioinformatics Res 2009;1:4-13.
25
26. Lakshmipathy D, Ramasubban G, Therese L, Vetrivel U, Sivashanmugam M, Rajendiran S, Sridhar R, Madhavan HN, Meenakshi N. In silico Analysis of novel mutation ala102pro targeting pncA gene of M. Tuberculosis. J Comput Sci Syst Biol 2013;6:83-87.
26
27. Berman HM, Westbrook J, Feng Z, Gilliland G, Bhat TN, Weissig H, Shindyalov IN, Bourne PE. The protein data bank. Nucleic Acids Res 2000;28:235-242.
27
28. Altschul SF, Gish W, Miller W, Myers EW, Lipman DJ. Basic local alignment search tool. J Mol Biol 1990;215:403-410.
28
29. Sievers F, Wilm A, Dineen D, Gibson TJ, Karplus K, Li W, Lopez R, McWilliam H, Remmert M, Soding J, Thompson JD, Higgins DG. Fast, scalable generation of high-quality protein multiple sequence alignments using Clustal Omega. Mol Syst Biol 2011;7:539.
29
30. Parthiban V, Gromiha MM, Schomburg D. CUPSAT: prediction of protein stability upon point mutations. Nucleic Acids Res 2006;34:W239-242.
30
31. Biasini M, Bienert S, Waterhouse A, Arnold K, Studer G, Schmidt T, Kiefer F, Gallo Cassarino T, Bertoni M, Bordoli L, Schwede T. SWISS-MODEL: modelling protein tertiary and quaternary structure using evolutionary information. Nucleic Acids Res 2014;42:W252-258.
31
32. Dosztanyi Z, Magyar C, Tusnády G, Simon I. SCide: identification of stabilization centers in proteins. Bioinformatics 2003;19:899-900.
32
33. Dassault Systemes BIOVIA, Discovery Studio Modeling Environment, Release 2017, San Diego: Dassault Systemes, 2016.
33
34. Brooks BR, Bruccoleri RE, Olafson BD, States DJ, Swaminathan S, Karplus M. CHARMM: A program for macromolecular energy, minimization, and dynamics calculations. J. Comput. Chem 1983;4:187-217.
34
35. HyperChem (TM) Professional 7.51, Hypercube, Inc., 1115 NW 4th Street, Gainesville, Florida 32601, USA.
35
36. Ponder JW, Richards FM. An efficient newton-like method for molecular mechanics energy minimization of large molecules. J Comput Chem 1987;8:1016–1024.
36
37. Stich I, Car R, Parrinello M, Baroni S. Conjugate gradient minimization of the energy functional: A new method for electronic structure calculation. Phys Rev B Condens Matter 1989;39:4997-5004.
37
38. Ritchie D, Hex 8.0.0 user manual, 1996, http://hex.loria.fr/ manual800/hex manual.pdf
38
39. Michalovich D, Overington J, Fagan R.Protein sequence analysis in silico: application of structure-based bioinformatics to genomic initiatives. Curr Opin Pharmacol 2002;2:574-580.
39
40. Kanehisa M, Bork P. Bioinformatics in the post-sequence era. Nat Genet 2003;33Suppl: 305-310.
40
41. Jankun-Kelly T, Lindeman AD, Bridges SM. Exploratory visual analysis of conserved domains on multiple sequence alignments. BMC Bioinformatics 2009;10(Suppl 11):S7.
41
42. Chenna R, Sugawara H, Koike T, Lopez R, Gibson TJ, Higgins DG, Thompson JD. Multiple sequence alignment with the clustal series of programs. Nucleic Acids Res 2003;31: 3497-500.
42
43. Marini NJ, Thomas PD, Rine J. The use of orthologous sequences to predict the impact of amino acid substitutions on protein function. PLoS Genet 2010;6:e1000968.
43
44. Zhang Z, Wang L, Gao Y, Zhang J, Zhenirovskyy M, Alexov E. Predicting folding free energy changes upon single point mutations. Bioinformatics 2012;28:664-671.
44
45. Chiu TL, Goldstein R. Optimizing energy potentials for success in protein tertiary structure prediction. Fold Des 1998;3:223-228.
45
46. Matthews BW, Nicholson H, Becktel WJ. Enhanced protein thermostability from site-directed mutations that decrease the entropy of unfolding. Proc Natl Acad Sci USA 1987;84: 6663-6667.
46
47. Kaffe-Abramovich T, Unger R.A simple model for evolution of proteins towards the global minimum of free energy. Fold Des 1998;3:389-99.
47
48. Monzon AM, Zea DJ, Fornasari MS, Saldano TE, Fernandez-Alberti S, Tosatto SC, Parisi G. Conformational diversity analysis reveals three functional mechanisms in proteins. PLoS Comput Biol 2017;13:e1005398.
48
49. Damm KL, Carlson HA. Gaussian-weighted RMSD superposition of proteins: A structural comparison for flexible proteins and predicted protein structures. Biophys J 2006;90:4558-4573.
49
50. Rueda AJV, Monzon AM, Ardanaz SM, Iglesias LE, Parisi G. Large scale analysis of protein conformational transitions from aqueous to non-aqueous media. BMC Bioinformatics 2018;19:27.
50
51. Baase WA, Eriksson AE, Zhang XJ, Heinz DW, Sauer U, Blaber M, Baldwin EP, Wozniak JA, Matthews BW. Dissection of protein structure and folding by directed mutagenesis. Faraday Discuss 1992;93:173-181.
51
52. Wang W, Malcolm BA. Two-stage PCR protocol allowing introduction of multiple mutations, deletions and insertions using QuikChange site-directed mutagenesis. Biotechniques 1999;26:680-682.
52
53. Socha RD, Tokuriki N. Modulating protein stability-directed evolution strategies for improved protein function. FEBS J 2013;280:5582-5595.
53
54. Faryal MA, Ayesha O, Aqsa I, Hussnain AJ. Mutation-structure-function relationship based integrated strategy reveals the potential impact of deleterious missense mutations in autophagy related proteins on hepatocellular carcinoma (HCC): A comprehensive informatics approach. Int J Mol Sci 2017;18:139.
54
55. Abida A, Rashda A, Christian MKS, Muhammad A, Nafees A. In silico analysis of mutations in PITX3 gene. International Conference on Systems Biology 2014;ISB. 10.1109/ISB.2014.6990430.
55
56. Rao BM, Girvin AT, Ciardelli T, Lauffenburger DA, Wittrup KD. Interleukin-2 mutants with enhanced alpha-receptor subunit binding affinity. Protein Eng 2003;16:1081-1087.
56
57. Lopez AF, Shannon MF, Barry S, Phillips JA, Cambareri B, Dottore M, Simmons P, Vadas M A. A human interleukin 3 analog with increased biological and binding activities. Proc Natl Acad Sci USA 1992;89:11842-11846
57
58. Pereira E, Goldblatt J, Rye P, Sanderson C, Le Souef P. Mutation analysis of interleukin-5 in an asthmatic cohort. Hum Mutat 1998;11:51-54.
58
59. Nacheva G, Lilkova E, Petkov P, Petkov P, Ilieva N, Ivanov I and Litov L. In silico studies on the stability of human interferon-gamma mutants. Biotechnol Biotechnol Equip 2014;26:200-204.
59
60. Pandey AV. Bioinformatics tools and databases for the study of human growth hormone. Endocr Dev 2012;23:71-85.
60
61. Urmi R. Structural modeling of tumor necrosis factor: A protein of immunological importance. Biotechnol Appl Biochem 2017:64:454-463.
61
62. Jiang SJ, Liou JW, Chang CC, Chung Y, Lin LF, Hsu HJ. Peptides derived from CXCL8 based on in silico analysis inhibit CXCL8 interactions with its receptor CXCR1. Sci Rep 2015;5:18638.
62
63. Iqbal H, Sarfaraz T, Anjum F, Anwar Z, Mir A. Identification of missense mutation (I12T) in the BSND gene and bioinformatics analysis. J Biomed Biotechnol 2011;2011:304612.
63
64. Scotti C, Olivieri C, Boeri L, Canzonieri C, Ornati F, Buscarini E, Pagella F, Danesino C. Bioinformatic analysis of pathogenic missense mutations of activin receptor like kinase 1 ectodomain. PLoS One 2011;6:e26431.
64
65. N N, Zhu H, Liu J, V K, C GP, Chakraborty C, Chen L. Analysing the effect of mutation on protein function and discovering potential inhibitors of CDK4: Molecular modelling and dynamics sdtudies. PLoS One 2015;10:e0133969.
65
66. Dasgupta J, Sen U, Dattagupta JK. In silico mutations and molecular dynamics studies on a winged bean chymotrypsin inhibitor protein. Protein Eng 2003;16:489-496.
66
67. Maher DW, Davis I, Boyd AW, Morstyn G. Human interleukin-4: an immunomodulator with potential therapeutic applications. Prog Growth Factor Res 1991;3:43-56.
67
68. Lundin J, Kimby E, Bergmann L, Karakas T, Mellstedt H, Osterborg A. Interleukin 4 therapy for patients with chronic lymphocytic leukaemia: a phase I/II study. Br J Haematol 2001;112:155-160.
68
69. Taylor CW, LeBlanc M, Fisher RI, Moore DF Sr, Roach RW, Elias L, Miller TP. Phase II evaluation of interleukin-4 in patients with non-Hodgkin's lymphoma: a Southwest oncology group trial. Anticancer Drugs 2000;11:695-700.
69
70. Seldin DC, Leder P. Mutational analysis of a critical signaling domain of the human interleukin 4 receptor. Proc Natl Acad Sci USA 1994;91:2140-2144.
70
71. Pan PY, Rothman P. IL-4 receptor mutations.Curr Opin Immunol 1999;11:615-620.
71
72. Akash MSH, Rehman K, Tariq M, Chen S. Development of therapeutic proteins: advances and challenges. Turk J Biol 2015;39:343-358.
72
73. Zhang Z, Miteva MA, Wang L, Alexov E. Analyzing effects of naturally occurring missense mutations. Comput Math Methods Med 2012:805827.
73
ORIGINAL_ARTICLE
Characterization of dengue virus in Aedes aegypti and Aedes albopictus spp. of mosquitoes: A study in Khyber Pakhtunkhwa, Pakistan
Dengue is a vector-borne disease caused by dengue virus. According to the recent report of CDC that one-third population of the world are at high risk with Dengue fever. The prevalence of the dengue hemorrhagic fever was found more in tropical and sub-tropical regions of the world. Aedes mosquitoes was reported as the main cause of transmission of dengue virus. So the current study was planned to characterize the virus in Aedes mosquitoes collected from different area of Pakistan. In current investigation, Aedes mosquitoes and larvae were trapped under conducive conditions which are counted as 495 Aedes mosquitoes and 260 Aedes larvae. First of all, adult mosquitoes were identified morphologically under microscopy, counted as 73.3% Ae. aegypti and 26.7% Ae. albopictus. Finally, reverse transcriptase polymerase chain reaction analyses that only 4 adults of Aedes mosquitoes and 10 Aedes larvae as naturally infected with dengue virus with possible source Ae. aegypti. This study basically uncovered the presence of virus in different species of mosquitoes in southern regions of Pakistan. The present study will also give us an insight for vector control programs of dengue virus in the affected area.
https://mbrc.shirazu.ac.ir/article_4832_7bb9d2b66616d08d3c3a060b9e444ed5.pdf
2018-06-01
77
82
10.22099/mbrc.2018.29073.1315
Dengue Virus
Aedes mosquitoes
Khyber Pakhtunkhwa Pakistan
Mubbashir
Hussain
1
Vector Borne Diseases Lab, Department of Microbiology, Kohat University of Science and Technology, Kohat, Khyber Pakhtunkhwa, 26000 Pakistan
LEAD_AUTHOR
Shahzad
Munir
2
Faculty of Plant Protection, Yunnan Agricultural University, Kunming 650201, Yunnan, China
AUTHOR
Kashif
Rahim
kashifbangash73@yahoo.com
3
Beijing Key Laboratory of Genetic Engineering Drug and Biotechnology, Institute of Biochemistry and Biotechnology, College of Life Sciences, Beijing Normal University, Beijing 100875, China
AUTHOR
Nawaz Haider
Bashir
4
Faculty of Plant Protection, Yunnan Agricultural University, Kunming 650201, Yunnan, China
AUTHOR
Abdul
Basit
abdul_9090@yahoo.com
5
Vector Borne Diseases Lab, Department of Microbiology, Kohat University of Science and Technology, Kohat, Khyber Pakhtunkhwa, 26000 Pakistan
AUTHOR
Baharullah
Khattak
6
Vector Borne Diseases Lab, Department of Microbiology, Kohat University of Science and Technology, Kohat, Khyber Pakhtunkhwa, 26000 Pakistan
AUTHOR
1. Alkenani NA. Influence of the mixtures composed of slow–release insecticide formulations against Aedes aegypti mosquito larvae reared in pond water. Saudi J Biol Sci 2017;24:1181-1185.
1
2. Agramonte NM, Bloomquist JR, Bernier UR. Pyrethroid resistance alters the blood-feeding behavior in Puerto Rican Aedes aegypti mosquitoes exposed to treated fabric. PLoS Negl Trop Dis 2017;11:e0005954.
2
3. Hasan Z, Razzak S, Farhan M, Rahim M, Islam N, Samreen A, Khan E. Increasing usage of rapid diagnostics for dengue virus detection in Pakistan. J Pak Med Assoc 2017;67:548.
3
4. Tsujimoto H, Hanley KA, Sundararajan A, Devitt NP, Schilkey FD, Hansen IA. Dengue virus serotype 2 infection alters midgut and carcass gene expression in the Asian tiger mosquito, Aedes albopictus. PloS One 2017;12:e0171345.
4
5. Doosti S, Yaghoobi-Ershadi MR, Schaffner F, Moosa-Kazemi SH, Akbarzadeh K, Gooya MM, Vatandoost H, Shirzadi MR, Mosta-Favi E. Mosquito surveillance and the first record of the invasive mosquito species Aedes (Stegomyia) albopictus (Skuse)(Diptera: Culicidae) in southern Iran. Iran J Public Health 2016;45:1064.
5
6. Agarwal K, Malik S, Mittal P. A retrospective analysis of the symptoms and course of dengue infection during pregnancy. Int J Gynaecol Obstet 2017;139:4-8.
6
7. Jahan F. Dengue fever (DF) in Pakistan. Asia Pac Fam Med 2011;10:1.
7
8. Khan E, Kisat M, Khan N, Nasir A, Ayub S, Hasan R. Demographic and clinical features of dengue fever in Pakistan from 2003-2007: a retrospective cross-sectional study. PLoS One 2010;5:e12505.
8
9. Ahmed A, Tanveer M, Khan GM, Imran M. Dengue fever again in Pakistan: are we going in the right direction?. Public Health 2017;152:153-6.
9
10. Arslan A, Rathor HR, Mukhtar MU, Mushtaq S, Bhatti A, Asif M, Arshad I, Ahmad JF. Spatial distribution and insecticide susceptibility status of Aedes aegypti and Aedes albopictus in dengue affected urban areas of Rawalpindi, Pakistan. J Vector Borne Dis 2016;53:136.
10
11. Itrat A, Khan A, Javaid S, Kamal M, Khan H, Javed S, Kalia S, Khan AH, Sethi MI, Jehan I. Knowledge, awareness and practices regarding dengue fever among the adult population of dengue hit cosmopolitan. PLoS One 2008;3:e2620.
11
12. Suleman M, Faryal R, Alam MM, Sharif S, Shaukat S, Aamir UB, Khurshid A, Angez M, Umair M, Sufian MM, Arshad Y. Dengue virus serotypes circulating in Khyber Pakhtunkhwa Province, Pakistan, 2013-2015. Ann Lab Med 2017;37:151-154.
12
13. Mukhtar M, Tahir Z, Baloch TM, Mansoor F, Kamran J. Entomological investigations of dengue vectors in epidemic-prone districts of Pakistan during 2006-2010.WHO Reginal Office for South-East Asia. http://www.who.int/iris/handle/10665/171002.
13
14. Nasiruddin M. A note on the natural infectivity of mosquitoes in East Pakistan. Pak J Health 1952;2:113-5.
14
15. Huang YM. Medical entomology studies-XI. The subgenus Stegomyia of Aedes in the Oriental region with keys to the species (Diptera: Culicidae). SMITHSONIAN INSTITUTION WASHINGTON DC; 1979.
15
16. Kanthong N, Khemnu N, Sriurairatana S, Pattanakitsakul SN, Malasit P, Flegel TW. Mosquito cells accommodate balanced, persistent co-infections with a densovirus and Dengue virus. Dev Comp Immunol 2008;32:1063-75.
16
17. Joshi V, Mourya DT, Sharma RC. Persistence of dengue-3 virus through transovarial transmission passage in successive generations of Aedes aegypti mosquitoes. The Am J Trop Med Hyg. 2002;67:158-61.
17
18. Cruz EI, Salazar FV, Porras E, Mercado R, Orais V, Bunyi J. Entomological survey of dengue vectors as basis for developing vector control measures in Barangay Poblacion, Muntinlupa City, Philippines, 2008.
18
19. Khan J, Munir W, Khan BT, Ahmad Z, Shams WA, Khan A. Dengue outbreak 2013: Clinical profile of patients presenting at DHQ Burner and THQ Shangla, Khyber Pakhtunkhwa, Pakistan. Immunity Diseases 2015;3:a11.
19
20. Scott TW, Amerasinghe PH, Morrison AC, Lorenz LH, Clark GG, Strickman D, Kittayapong P, Edman JD. Longitudinal studies of Aedes aegypti (Diptera: Culicidae) in Thailand and Puerto Rico: blood feeding frequency. J Med Entomol 2000;37:89-101.
20
ORIGINAL_ARTICLE
Impacts of seed priming with salicylic acid and sodium hydrosulfide on possible metabolic pathway of two amino acids in maize plant under lead stress
Heavy metals pollution is one of the key environmental problems. In this research, the effect of seed priming with salicylic acid and sodium hydrosulfide was investigated on methionine and arginine amino acids contents and some compounds derived from their metabolism as well as ZmACS6 and ZmSAMD transcripts levels in maize plants under lead stress. For this purpose, maize seeds were soaked in salicylic acid (0.5 mM) and sodium hydrosulfide (0.5mM) for 12 hours and then exposed to lead (2.5 mM) for 9 days. The results showed that lead stress reduced nitric oxide content and shoot ZmACS6 and ZmSAMD transcript levels while increased glycine betaine, methionine, arginine and proline amino acids contents as well as root ZmACS6 and ZmSAMD transcript levels. Salicylic acid and sodium hydrosulfide pretreatments reduced methionine, arginine and proline accumulation and increased glycine betaine and nitric oxide contents and regulated the expression of ZmACS6 and ZmSAMD genes (genes participating in methionine metabolism) under lead stress. Our data suggest that salicylic acid and hydrogen sulfide play role in regulating the methionine and arginine metabolism in maize under lead stress condition.
https://mbrc.shirazu.ac.ir/article_4842_15140fca7e6938b82a6bb5aafc0e6099.pdf
2018-06-01
83
88
10.22099/mbrc.2018.29089.1317
Amino acids metabolism
Hydrogen sulfide
Pb stress
Salicylic acid
Zea mays L
Roya
Zanganeh
zanganeh.roua@yahoo.com
1
Department of Biology, Faculty of Science, Urmia University, Urmia, Iran
AUTHOR
Rashid
Jamei
r.jamei@urmia.ac.ir
2
Department of Biology, Faculty of Science, Urmia University, Urmia, Iran
AUTHOR
Fatemeh
Rahmani
f.rahmani@urmia.ac.ir
3
Department of Biology, Faculty of Science, Urmia University, Urmia, Iran
LEAD_AUTHOR
1. Sharma P, Dubey RSH. Lead toxicity in Plants. Braz Plant Physiol 2005;17:35-52.
1
2. Souza LA, Camargos LS, Schiavinato MA, Andrade SAL. Mycorrhization alters foliar soluble amino acid composition and influences tolerance to Pb in Calopogonium mucunoides. Theor Exp Plant Physiol 2014;26:211-216.
2
3. Bharwana SA, Ali S, Farooq MA, Ali B, Iqbal N, Abbas F, Ahmad MSA. Hydrogen sulfide ameliorates lead-induced morphological, photosynthetic, oxidative damages and biochemical changes in cotton. Environ Sci Pollut Res 2014;21:717-731.
3
4. Zemanová V, Pavlík M, Pavlíková D. Cadmium toxicity induced contrasting patterns of concentrations of free sarcosine, specific amino acids and selected microelements in two Noccaea species. PLoS One 2017;12:e0177963.
4
5. Sujatha B, Priyadarshini B. Influence of lead and cadmium on amino acids and protein content of pigeonpea seedlings. Int J Plant Sci2009;4:482-486.
5
6. Khan MIR, Asgher M, Khan NA. Alleviation of salt-induced photosynthesis and growth inhibition by salicylic acid involves glycinebetaine and ethylene in mungbean (Vigna radiata L.). Plant Physiol Biochem 2014;80:67-74.
6
7. Mostofa MG, Rahman A, Ansary MMU, Watanabe A, Fujita M, Tran LSP. Hydrogen sulfide modulates cadmium-induced physiological and biochemical responses to alleviate cadmium toxicity in rice. Sci Rep 2015;5:14078.
7
8. Qiao Z, Jing T, Liu Z, Zhang L, Jin Z, Liu D, Pei Y. H2S acting as a downstream signaling molecule of SA regulates Cd tolerance in Arabidopsis. Plant Soil 2015; 393:137-146.
8
9. Hussein MM, Balbaa LK, Gaballah MS. Salicylic acid and salinity effects on growth of maize plant. Res J Agric Biol Sci 2007;3:321-328.
9
10. Farhangi-Abriz S, Ghassemi-Golezani K. Improving amino acid composition of soybean under salt stress by salicylic acid and jasmonic acid. J Appl Bot Food Qual 2016;89.
10
11. Zhang H, Hu LY, Hu KD, He YD, Wang SH, Luo JP. Hydrogen sulfide promotes wheat seed germination and alleviates oxidative damage against copper stress. J Integr Plant Biol 2008;50:1518-1529.
11
12. Wang C, Zhang S, Wang P, Hou J, Qian J, Ao Y, Lu J, Li L. Salicylic acid involved in the regulation of nutrient elements uptake and oxidative stress in Vallisneria natans (Lour.) Hara under Pb stress. Chemosphere 2011;84:136-142.
12
13. Grieve CM, Grattan SR. Rapid assay for determination of water soluble quaternary ammonium compounds. Plant Soil 1983;70:303-307.
13
14. Zhou B, Guo Z, Xing J, Huang B. Nitric oxide is involved in abscisic acid-induced antioxidant activities in Stylosanthes guianensis. J Exp Bot 2005;56:3223-3228.
14
15. Stines AP, Naylor DJ, Høj PB, Van Heeswijck R. Proline accumulation in developing grapevine fruit occurs independently of changes in the levels of Δ1-pyrroline-5-carboxylate synthetase mRNA or protein. Plant Physiol 1999;120:923-923.
15
16. Louime C, Vasanthaiah H, Jittayasothorn Y, Lu J, Basha SM, Thipyapong P, Boonkerd N. A simple and efficient protocol for high quality RNA extraction and cloning of chalcone synthase partial cds from muscadine grape cultivars (Vitis rotundifolia Michx.). Eur J Sci Res 2008;22:232-240.
16
17. Winter G, Todd CD, Trovato M, Forlani G, Funck D. Physiological implications of arginine metabolism in plants. Front Plant Sci 2015;6:534.
17
18. Mostofa MG, Fujita M. Salicylic acid alleviates copper toxicity in rice (Oryza sativa L.) seedlings by up-regulating antioxidative and glyoxalase systems. Ecotoxicology 2013; 22:959-973.
18
19. Szegő D, Lőrincz I, Soós V, Páldi E, Visnovitz T, Bratek Z, Lásztity D, Szigeti Z, Rácz I. Protective effect of the naturally occurring, biologically active compound S-methylmethionine in maize seedlings exposed to a short period of cold. Cereal Res Commun 2009;37:419-429.
19
ORIGINAL_ARTICLE
Induction of apoptosis and necrosis in human acute erythroleukemia cells by inhibition of long non-coding RNA PVT1
Recent advances in molecular medicine have proposed new therapeutic strategies for cancer. One of the molecular research lines for the diagnosis and treatment of cancer is the use of long non-coding RNAs (LncRNAs) which are a class of non-coding RNA molecules longer than 200 base pairs in length that act as the key regulator of gene expression. Different aspects of cellular activities like cell growth, proliferation, differentiation, apoptosis and migration are regulated by lncRNAs. In various cancers, aberrant expression of lncRNAs has been reported. One of the lncRNAs that showed upregulation in human acute myeloid leukemia (AML) is lncRNA plasmacytoma variant translocation 1 (PVT1). Here, we performed blockage of lncRNA PVT1 in human acute erythroleukemia (AEL) cell line (KG1) using antisense LNA GapmeRs. Then, at different time points (24, 48 and 72 hours) after transfection, qRT‑real‑time PCR and Annexin‑V/Propidium Iodide staining assay were performed. The data were processed using the ANOVA test. At all three time points, the ratio of apoptotic cells in the PVT1 antisense LNA GapmeRs treated group was higher than the other groups. The ratio of necrotic cells in the antisense LNA GapmeRs group was also higher than the other groups. These assessments show that inhibition of lncRNA PVT1 could significantly induce apoptosis and necrosis in KG1 cells. Our findings can be used in translational medicine for future investigation in acute erythroleukemia and treatment approach based on antisense therapy.
https://mbrc.shirazu.ac.ir/article_4843_09d7583ee7edf69b2fd4e33927be16d9.pdf
2018-06-01
89
96
10.22099/mbrc.2018.29081.1316
Long non-coding RNA
LncRNA PVT1
Apoptosis
Acute erythroleukemia
Mahsa
Salehi
sm.salehi@resident.mui.ac.ir
1
Department of Genetics and Molecular Biology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
AUTHOR
Mohammadreza
Sharifi
mo_sharifi@med.mui.ac.ir
2
Department of Genetics and Molecular Biology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
LEAD_AUTHOR
1. Fang Y, Fullwood MJ. Roles, function, and mechanisms of long non-coding RNAs in cancer. Genomics Proteomics Bioinf 2016;14:42-54.
1
2. Bartonicek N, Maag JLV, Dinger ME. Long noncoding RNAs in cancer: mechanisms of action and technological advancements. Mol Cancer 2016;15:43.
2
3. Rodríguez-Malavé NI, Rao DS. Long noncoding RNAs in hematopoietic malignancies. Briefings Funct Genomics 2016;15:227-238.
3
4. Harries Lorna W. Long non-coding RNAs and human disease. Biochem Soc Trans 2012;40: 902-906.
4
5. Jalali F, Sharifi M, Salehi R. Kefirinduces apoptosis and inhibits cell proliferation in human acute erythroleukemia. Med Oncol 2016;33:7.
5
6. Zuo Z, Polski JM, Kasyan A, Medeiros LJ. Acute erythroid leukemia. Arch Pathol Lab Med 2010;134:1261-1270.
6
7. Santos FP, Bueso-Ramos CE, Ravandi F. Acute erythroleukemia: diagnosis and management. Expert Rev Hematol 2010;3:705-718.
7
8. Wei S, Wang K. Long noncoding RNAs: pivotal regulators in acute myeloid leukemia. Exp Hematol Oncol 2016;5:30.
8
9. Zeng C, Yu X, Lai J, Yang L, Chen S, Li Y. Overexpression of the long non-coding RNA PVT1 is correlated with leukemic cell proliferation in acute promyelocytic leukemia. J Hematol Oncol 2015;8:126.
9
10. Graham M. Adams JM. Chromosome 8 breakpoint far 3' of the c-myc oncogene in a Burkitt's lymphoma 2;8 variant translocation is equivalent to the murine pvt-1 locus. EMBO J 1986;5:2845-2851.
10
11. Zhuang C, Li J, Liu Y, Chen M, Yuan J, Fu X, Zhan Y, Liu L, Lin J, Zhou Q. Tetracycline-inducible shRNA targeting long non-coding RNA PVT1 inhibits cell growth and induces apoptosis in bladder cancer cells. Oncotarget 2015;6:41194.
11
12. Ding J, Li D, Gong M, Wang J, Huang X, Wu T, Wang C. Expression and clinical significance of the long non-coding RNA PVT1 in human gastric cancer. OncoTargets Ther 2014;7:1625.
12
13. Takahashi Y, Sawada G, Kurashige J, Uchi R, Matsumura T, Ueo H, Takano Y, Eguchi H, Sudo T, Sugimachi K. Amplification of PVT-1 is involved in poor prognosis via apoptosis inhibition in colorectal cancers. Br J Cancer 2014;110:164.
13
14. Guan Y, Kuo W-L, Stilwell JL, Takano H, Lapuk AV, Fridlyand J, Mao J-H, Yu M, Miller MA, Santos JL. Amplification of PVT1 contributes to the pathophysiology of ovarian and breast cancer. Clin Cancer Res 2007;13:5745-5755.
14
15. Colombo T, Farina L, Macino G, Paci P. PVT1: a rising star among oncogenic long noncoding RNAs. BioMed Res Int2015:304208
15
16. Parasramka MA, Maji S, Matsuda A, Yan IK, Patel T. Long non-coding RNAs as novel targets for therapy in hepatocellular carcinoa. Pharmacol Ther 2016;161:67-78.
16
17. Lai J, Ozen A, Mouritzen P, Tolstrup N, Frandsen NM. Abstract PR14: Potent knock down of lncRNAs in vitro and in vivo with antisense LNA™ GapmeRs. Cancer Res 2016; 76:PR14.
17
18. Cui M, You L, Ren X, Zhao W, Liao Q, Zhao Y. Long non-coding RNA PVT1 and cancer. Biochem Biophys Res Commun 2016;471:10-14.
18
19. Saultz JN, Garzon R. Acute myeloid leukemia: A Concise Review. J Clin Med 2016;5:33.
19
20. Molina CA, Rodríguez MJR, de Marcos NS, Font P. Acute myeloblastic leukemia. Adv Ther 2011;28:10.
20
21. Huang C, Liu S, Wang H, Zhang Z, Yang Q, Gao F. LncRNA PVT1 overexpression is a poor prognostic biomarker and regulates migration and invasion in small cell lung cancer. Am J Transl Res 2016;8:5025-5034.
21
22. Pickard MR, Williams GT. Targeting long non-coding RNAs (lncRNAs) with oligonucleotides in cancer therapy. Transl Cancer Res 2016;5:S926-S927.
22
23. Wong RSY. Apoptosis in cancer: from pathogenesis to treatment. J Exp Clin Cancer Res 2011;30:87.
23
24. Sakamoto KM, Grant S, Saleiro D, Crispino JD, Hijiya N, Giles F, Platanias L, Eklund EA. Targeting novel signaling pathways for resistant acute myeloid leukemia. Mol Genet Metab 2015;114:397-402
24
25. Li J, Meng H, Bai Y, Wang K. Regulation of lncRNA and its role in cancer metastasis. Oncol Res 2016;23:205-217.
25