Volume 6, Issue 3 (Aug 2018)                   Res Mol Med (RMM) 2018, 6(3): 29-44 | Back to browse issues page

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Gilavand F, Kavyanifard A, Marzban A. L-Asparaginase-producing Rouxiella Species Isolation, Antileukemia Activity Evaluation, and Enzyme Production Optimization. Res Mol Med (RMM). 2018; 6 (3) :29-44
1- Department of Microbiology, College of Science, Khorramabad Branch, Islamic Azad University, Khorramabad
2- Payame Noor University, Department of Biology, Tehran, Iran
3- Razi Herbal Medicines Research Center, Lorestan University of Medical Sciences ,
Abstract:   (2092 Views)
Background: L-Asparaginase (L-Asp) is used as an efficient anti-cancer drug, especially for acute lymphoblastic leukemia (ALL). Currently, two bacterial asparaginase isoenzymes are used for cancer treatment. Therefore, this research focused on isolating native bacteria with the ability to produce L-Asp.
 Materials and methods: L-Asp producing bacteria were isolated from soil samples on 9K medium supplemented with L-Asp as nitrogen source. Detection of L-Asp activity was performed by observing color change of the agar medium from yellow to orange due to the release of ammonia around the colonies. After the isolation and identification of the bacterium, L-Asp production was first optimized by the one factor-at-the-time (OFAT) technique followed by the response surface method. Next, the enzyme was extracted, purified, and assessed for antileukemia activity on U937 and MRC-5 cell lines.
Results: The results revealed that L-Asp produced by Rouxiella sp. AF1 significantly inhibited the growth of U937 cells at a dose of up to 0.04 IU/ml, while MRC-5 was not affected at any enzyme doses. The final purification of the enzyme was achieved by column chromatography (Sephadex G-100) at approximately 0.31 mg/ml, and its specific activity was determined to be 0.51 IU/mg. The OFAT optimization experiments were performed primarily to determine optimal enzyme conditions, which were found to be neutral pH (pH7), 30 °C temperature, and 3 % NaCl, 1 % peptone, and 1% glucose concentrations. Statistical optimization   was based on five factors obtained from OFAT, and response surface method  (RSM) analysis introduced a quadratic model for enzyme production at the optimal range of these variables. This model provided an equation for measuring the effect of physiochemical conditions on final enzyme production.
Conclusion: We showed that native bacteria may be novel candidates for isolating new metabolites such as L-Asp. Because many bacteria grow in unknown environments with unique ecological properties, the probability of discovering novel bacterial species producing bioactive compounds is high.
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Type of Study: Research | Subject: Microbiology
Received: 2019/02/15 | Published: 2018/08/15

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