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Optimizing the Fluorescence In situ hybridization technique for a more rapid inspection of Sepsis causative pathogens by employing DNA probes
University of Skövde, School of Bioscience. Baghdad university. (Molecular Biology)
2014 (English)Independent thesis Advanced level (degree of Master (One Year)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]


Sepsis is a serious clinical condition that is characterized by a systemic inflammatory response syndrome resulting from a known or suspected infection. The major clinical symptoms involve an abnormal WBC count, elevated body temperature, respiration and pulse rate. Reported cases with high mortality rate range between 13 - 20 million. In order to treat Sepsis, the detection of bacteria in blood culture is extremely crucial. Treating patients with broad spectrum antibiotics is usually related to adverse effects, drug resistance, increased mortality, and high cost. In the past decades, researches had detected that E. coli and S. aureus are the major role players that cause sepsis. These microbes are molecularly tested by methods like MALDI TOF, FISH and Microarrays.  

In this analysis, DNA fluorescence in situ hybridization (FISH) assessment for the identification of S. aureus, one of the most frequent blood pathogens, was optimized in the labs of Högskolan i Skövde. As a result, the growth of S. aureus was observed very carefully, optimizing the FISH procedure for gram positive bacteria was done and the sensitivity, stability and specificity of the DNA probe were examined under variant conditions like the continuous decrease in the bacteria cells number and utilizing a mixture of different types of bacteria cells. 

Place, publisher, year, edition, pages
2014. , 22 p.
Keyword [en]
FISH, Staphylococcus aureus
National Category
Biochemistry and Molecular Biology
URN: urn:nbn:se:his:diva-8772OAI: diva2:692831
Subject / course
Molecular Biology
Educational program
Molekular Biology - Master's Programme
2013-03-18, School of Life Sciences Högskolan i Skövde BOX 408 SE-541 28, Skövde, 13:15 (English)
Data mining strategies and molecular techniques for microbial detection in severe sepsis
Available from: 2014-02-03 Created: 2014-02-02 Last updated: 2014-12-19Bibliographically approved

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Omar Al-Bayati thesis project(907 kB)330 downloads
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