Volume 31 (2020)
Volume 29 (2018)
Volume 28 (2017)
Volume 27 (2016)
Volume 26 (2015)
Volume 25 (2014)
Volume 24 (2013)
Volume 23 (2012)
Volume 22 (2011)
Volume 21 (2010)
Volume 20 (2009)
Volume 19 (2008)
Volume 18 (2007)
Volume 17 (2006)
Volume 16 (2005)
Volume 15 (2004)
Volume 14 (2003)
Volume 13 (2002)
Volume 12 (2001)
Volume 11 (2000)
Volume 10 (1999)
Volume 9 (1998)
Volume 8 (1997)
Volume 7 (1996)
Volume 6 (1995)
Volume 5 (1994)
Volume 4 (1993)
Volume 3 (1992)
Volume 2 (1991)
Volume 1 (1990)
Volume 1 (1989)
1. Synthesis a New Viral Base Vector Carrying Single Guide RNA (sgRNA) and Green Florescent Protein (GFP)

Mahintaj Dara; Mehdi Dianatpour; Vahid Razban

Volume 30, Issue 3 , Summer 2019, Pages 205-209


  CRISPR/Cas9 system is a powerful gene editing tool in vivo and in vitro. Currently, CRISPR/Cas9 delivery cells or tissue with different vehicles are available, and Adeno- associated virus (AAV) in one of them. Due to AAV packaging size limitation, AAV base vectors that carry CRISPR/Cas9 system do not ...  Read More

2. Chemotaxonomy, Morphology and Chemo Diversity of Scutellaria (Lamiaceae) Species in Zagros, Iran

Farzaneh Jafari Dehkordi; Navaz Kharazian

Volume 30, Issue 3 , Summer 2019, Pages 211-226


  This study concerns to evaluate the morphological and flavonoid variations, and chemotaxonomy among seven Scutellaria species. The limits of Scutellaria species were disturbed by different factors including hybridization and polymorphism. For this purpose, 39 Scutellaria accessions were collected from ...  Read More

3. Phenol Based RNA Isolation is the Optimum Method for Study of Gene Expression in Human Urinary Sediment

Hootan Yazdani; Shiva Kalantari; Mohsen Nafar; Mohammad Naji

Volume 30, Issue 3 , Summer 2019, Pages 227-231


  Evaluation of gene expression in urinary sediment has been considered as a promising non-invasive approach for biomarker identification of kidney diseases. Nonetheless, there are several challenges in extraction of RNA from this valuable source of biomarkers, mostly because of the factors that have ...  Read More

4. Electropolymerization of Glycine at Carbon Paste Electrode and its Application for the Determination of Methyl Orange

C. Raril; J.G. Manjunatha

Volume 30, Issue 3 , Summer 2019, Pages 233-240


  A recently constructed polyglycine modified carbon paste electrode (PGMCPE) was employed to evaluate the electrochemical behavior of methyl orange (MO). The developed electrode was characterized by FESEM to understand the morphology of the modified electrode and bare carbon paste electrode (BCPE). The ...  Read More

5. Role of Hydrogen Transfer and Ionic Bonding on RR, SS and RS Medetomidine Conglomerates/Acids Stability: A Theoretical Study

Vahid Zarei; Nabi Javadi; Zainal Ghahramani; Hossein Fakhraian

Volume 30, Issue 3 , Summer 2019, Pages 241-250


  This study focuses on RR, SS and RS medetomidine (MM) and inclusion of several achiral acids to distinguish which acid can help conglomerate formation instead of crystallizating racemic mixtures by defining the low-lying energy of their structures. Favorable orientation of acids was determined in interaction ...  Read More

6. Mineralogy, Geochemistry and Raman Spectroscopy of Multi-Genesis Serpentine Polymorphs of Darepahn Ophiolites

Bahram Bahrambeygi; Hessam Moeinzadeh; Seyed Kazem Alavipanah

Volume 30, Issue 3 , Summer 2019, Pages 251-269


  The present article pays to some Alpine-Himalayan ophiolites of Late Cretaceous age from Darepahn area in the southern part of Nain-Baft Ophiolite belt. Whole rock processed data clearly shows that the metaperidotite rocks are silica-poor with low CaO, Al2O3, and TiO2 that reflect the predominance of ...  Read More

7. Liu Estimates and Influence Analysis in Regression Models with Stochastic Linear Restrictions and AR (1) Errors

Hoda Mohammadi; Abdolrahman Rasekh

Volume 30, Issue 3 , Summer 2019, Pages 271-285


  In the linear regression models with AR (1) error structure when collinearity exists, stochastic linear restrictions or modifications of biased estimators (including Liu estimators) can be used to reduce the estimated variance of the regression coefficients estimates. In this paper, the combination of ...  Read More