Research Outputs

Permanent URI for this communityhttps://hdl.handle.net/20.500.14288/2

Browse

Filters

2006 - 200912020 - 20211

Advanced Search

Filter by

Settings

Department: search.filters.department.Department of Industrial EngineeringSubject: search.filters.subject.Biology

Search Results

Now showing 1 - 2 of 2
  • Placeholder
    PublicationMetadata only
    Dealing with repetitions in sequencing by hybridization
    (Elsevier, 2006) Blazewicz, Jacek; Glover, Fred; Kasprzak, Marta; Markiewicz, Wojciech T.; Rebholz-Schuhmann, Dietrich; Swiercz, Aleksandra; Department of Industrial Engineering; Oğuz, Ceyda; Faculty Member; Department of Industrial Engineering; College of Engineering; 6033
    DNA sequencing by hybridization (SBH) induces errors in the biochemical experiment. Some of them are random and disappear when the experiment is repeated. Others are systematic, involving repetitions in the probes of the target sequence. A good method for solving SBH problems must deal with both types of errors. In this work we propose a new hybrid genetic algorithm for isothermic and standard sequencing that incorporates the concept of structured combinations. The algorithm is then compared with other methods designed for handling errors that arise in standard and isothermic SBH approaches. DNA sequences used for testing are taken from GenBank. The set of instances for testing was divided into two groups. The first group consisted of sequences containing positive and negative errors in the spectrum, at a rate of up to 20%, excluding errors coming from repetitions. The second group consisted of sequences containing repeated oligonucleotides, and containing additional errors up to 5% added into the spectra. Our new method outperforms the best alternative procedures for both data sets. Moreover, the method produces solutions exhibiting extremely high degree of similarity to the target sequences in the cases without repetitions, which is an important outcome for biologists.
  • Thumbnail Image
    PublicationOpen Access
    Virulence determinants of colistin-resistant K. pneumoniae high-risk clones
    (Multidisciplinary Digital Publishing Institute (MDPI), 2021) Department of Industrial Engineering; Ergönül, Önder; Gönen, Mehmet; Can, Füsun; Doğan, Özlem; Vatansever, Cansel; Ataç, Nazlı; Albayrak, Özgür; Karahüseyinoğlu, Serçin; Şahin, Özgün Ekin; Kılıçoğlu, Bilge Kaan; Demiray, Atalay; Faculty Member; Faculty Member; Faculty Member; Faculty Member; Undergraduate Student; Researcher; Faculty Member; Master Student; Department of Industrial Engineering; School of Medicine; Graduate School of Health Sciences; College of Engineering; 110398; 237468; 103165; 170418; N/A; N/A; N/A; 110772; N/A; N/A; N/A
    We proposed the hypothesis that high-risk clones of colistin-resistant K. pneumoniae (ColR-Kp) possesses a high number of virulence factors and has enhanced survival capacity against the neutrophil activity. We studied virulence genes of ColR-Kp isolates and neutrophil response in 142 patients with invasive ColR-Kp infections. The ST101 and ST395 ColR-Kp infections had higher 30-day mortality (58%, p = 0.005 and 75%, p = 0.003). The presence of yersiniabactin biosynthesis gene (ybtS) and ferric uptake operon associated gene (kfu) were significantly higher in ST101 (99%, p <= 0.001) and ST395 (94%, p < 0.012). Being in ICU (OR: 7.9; CI: 1.43-55.98; p = 0.024), kfu (OR:27.0; CI: 5.67-179.65; p < 0.001) and ST101 (OR: 17.2; CI: 2.45-350.40; p = 0.01) were found to be predictors of 30-day mortality. Even the neutrophil uptake of kfu+-ybtS+ ColR-Kp was significantly higher than kfu--ybtS- ColR-Kp (phagocytosis rate: 78% vs. 65%, p < 0.001), and the kfu+-ybtS+ ColR-Kp survived more than kfu--ybtS- ColR-Kp (median survival index: 7.90 vs. 4.22; p = 0.001). The kfu+-ybtS+ ColR-Kp stimulated excessive NET formation. Iron uptake systems in high-risk clones of colistin-resistant K. pneumoniae enhance the success of survival against the neutrophil phagocytic defense and stimulate excessive NET formation. The drugs targeted to iron uptake systems would be a promising approach for the treatment of colistin-resistant high-risk clones of K. pneumoniae infections.