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The Deubiquitylase USP5 Knockdown Reduces Semliki Forest Virus Replication in HeLa Cells
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Semliki Forest Virus (SFV), a member of the Alphavirus genus in the Togaviridae family, is a small-enveloped, positive-sense single-stranded RNA (+ssRNA) virus. The virus is spread by mosquitos and can infect humans, resulting in mild febrile disease with symptoms that include fever, myalgia, arthralgia, persistent headaches and asthenia.  Virulent strains of SFV in mice cause lethal encephalitis by infecting neurons in the central nervous system. In on-going experiments in the research group using a focused siRNA screen we have investigated the role of deubiquitylases (DUBs) during SFV infection (as a model alphavirus) and monitored the effect of DUB depletion on cell viability after infection. We identified a group of DUBs that have a pro-viral effect. The DUB, USP5, from this screen was validated to determine its effect upon viral replication. Here, we show that depleted USP5 in HeLa cells resulted in SFV RNA and viral yield at 8 h post-infection being significantly reduced. In the multi-step viral growth curve assay, in the absence of USP5, similar yields of SFV were determined at 2 and 4 h post-infection. However, a significant reduction in the infectious viral particles release at 6, 8, 10 and 12 h post-infection was observed and this could be reversed by direct constraining viral replication. These results raise the potential for USP5 to play a distinct role in the replication of SFV, suggesting that USP5 may be a possible anti-viral therapy for alphavirus infection.

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Publication Date
Fri Sep 11 2020
Journal Name
Iop Conference Series: Materials Science And Engineering
Application of Nanotechnology in Iraqi Construction Projects
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Publication Date
Sat Oct 17 2015
Journal Name
Monthly Notices Of The Royal Astronomical Society
Line and continuum variability in active galaxies
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Publication Date
Sun Sep 26 2021
Journal Name
Al-khwarizmi Engineering Journal
Phytotoxicity of Salvinia molesta in Diesel Exposure
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Phytoremediation is one of the methods to remove various types of pollutants from water and soil using plants. Salvinia molesta, an aquatic plant, is chosen in this study to determine its ability to degrade diesel as the pollutant in synthetic wastewater with different diesel concentrations (0, 8,700, 17,400, and 26,100 mg/L) for 14 days. Total petroleum hydrocarbon (TPH) has been used as an indicator to represent diesel concentration variation in wastewater. Degradation of TPH was 85.1% for diesel concentration of 8,700 mg/L, compared with only 53.9% in the corresponding control without plant. While, acute toxicity on S. molesta exposed in diesel concentrations of 17,400 and 26,100 mg/L was observed and eventually had

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Publication Date
Sat Dec 30 2023
Journal Name
Al-kindy College Medical Journal
Health System in Iraq Post 2003 War
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Background: War represents a major human crisis; it destroys communities and results in ingrained consequences for public health and well-being

Objective: We set this study to shed light on the public health status in Iraq after the successive wars, sanctions, sectarian conflicts, and terrorism, in light of certain health indicators.

Design: The primary source of data for this analysis comes from the Iraqi Ministry of Health, and The World Health Organization disease surveillance.

Results: Most of the morbidity indicators are high, even those that are relatively declining recently, are still higher than those repor

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Publication Date
Mon Jan 01 2018
Journal Name
The Tohoku Journal Of Experimental Medicine
Neonatal Seizures in Iraq: Cause and Outcome
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Publication Date
Tue Oct 23 2018
Journal Name
Journal Of Planner And Development
Affordable Housing Policies in Iraq and Jordan
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Publication Date
Mon Dec 30 2019
Journal Name
College Of Islamic Sciences
Extremism in religion Causes, effects and treatment
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Praise be to God, Lord of the worlds, and prayers and peace be upon His messenger, the mercy of the worlds.
As for after ....
It is clear from the legal texts in the Noble Qur’an and the Sunnah of the Prophet, that Islam is a method that interferes in everything in beliefs, worship, behavior and transactions, and it forbids excess and extremism and mistrust of people and looking at them through a black lens, self-conceit and contempt of others.
In our research, we will try, God willing, to study the phenomenon of religious extremism with its comprehensive dimensions, the position of Islam on it through the verses and hadiths discussed by it, and the diagnosis of the reasons for its emergence and emergence, because if we learn

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Publication Date
Tue Nov 01 2016
Journal Name
Journal Of The College Of Basic Education
A study effect Histological changes in Kidney
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Publication Date
Mon Sep 30 2019
Journal Name
College Of Islamic Sciences
Parasycology and scientific miracles in Islamic thought
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The research sheds light on the subject of phraseology as an important field to present metaphysical issues with contemporary scientific discourse. (Primary psychology) It does not apply with the reality of this science and therefore some tried to call it other names such as (Alsai), a unit of measurement of energy activity of things and assets. It was also called metaphysics or metaphysics, but it eventually settled on parapsychology. We try to win Islam and religious concepts with contemporary scientific discourse. The researcher discussed issues that modern science was unable to comprehend and interpreted. He used these subjects to prove the truths of religion and faith. Modern times because the whole universe miracles or as Imam Ghaz

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Publication Date
Fri Jan 01 2021
Journal Name
International Journal Of Agricultural And Statistical Sciences
NONPARAMETRIC ESTIMATION IN DOUBLY GEOMETRIC STOCHASTIC PROCESSES
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A stochastic process {Xk, k = 1, 2, ...} is a doubly geometric stochastic process if there exists the ratio (a > 0) and the positive function (h(k) > 0), so that {α 1 h-k }; k ak X k = 1, 2, ... is a generalization of a geometric stochastic process. This process is stochastically monotone and can be used to model a point process with multiple trends. In this paper, we use nonparametric methods to investigate statistical inference for doubly geometric stochastic processes. A graphical technique for determining whether a process is in agreement with a doubly geometric stochastic process is proposed. Further, we can estimate the parameters a, b, μ and σ2 of the doubly geometric stochastic process by using the least squares estimate for Xk a

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