Molecular Biology and Genetics / Moleküler Biyoloji ve Genetik

Permanent URI for this collectionhttps://hdl.handle.net/11147/9

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Author: search.filters.author.Allmer, JensPublisher: search.filters.publisher.Springer

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Now showing 1 - 4 of 4
  • Conference Object
    Preparing Sequence Databases for Application in Proteogenomics
    (Springer, 2016) Has, Canan; Mungan, Mehmet Direnç; Çiftçi, Cansu; Allmer, Jens
    Proteomics involves the identification of proteins from complex mixtures which is performed using mass spectrometry (MS) followed by computational data analysis. MS/MS spectra can either be sequenced de novo if no sequence is available for the proteins in the mixture, or by using database search algorithms such as OMSSA, X!Tandem, and MSGF+.
  • Conference Object
    Database Normalization Is Crucial for Reliable Protein Identification in Mass Spectrometry-Based Proteomics
    (Springer, 2016) Has, Canan; Mungan, Mehmet Direnç; Çiftçi, Cansu; Allmer, Jens
    Research in proteomics is driven by mass spectrometry, especially the identification of proteins from complex samples. Computational analysis of the resulting data determines the peptide sequences of the recorded spectra and integrates identifications into proteins. For this, database search algorithms can be employed, but they need a list of amino acid sequences that are expected to exist in the sample. Many algorithms have been proposed and consensus scoring has been performed. While the comparison/integration among results from different algorithms is important, there has been no attempt to integrate the results from searching multiple databases. This is, however, important since it poses technical problems when all databases, needed for a study, are simply concatenated. Unfortunately, it has been shown that databases of different size influence scoring and prohibit the direct comparison of results.
  • Article
    Citation - WoS: 9
    Citation - Scopus: 11
    Development of Simple Sequence Repeat Markers in Hazelnut (corylus Avellana L.) by Next-Generation Sequencing and Discrimination of Turkish Hazelnut Cultivars
    (Springer, 2018) Özturk, Süleyman Can; Göktay, Mehmet; Doğanlar, Sami; Allmer, Jens; Frary, Anne
    European hazelnut (Corylus avellana) is a diploid tree species and is widely used in confections. Hazelnuts are, to a large part, produced in Turkey with the cultivar "Tombul" widely grown in the Black Sea region. In this work, the "Tombul" genome was partially sequenced by next-generation sequencing technology yielding 29.2% (111.85 Mb) of the similar to 385 Mb (1C). This sequence information was used to develop genetic markers in order to enable differentiation of material before the long maturation process and to facilitate future breeding strategies. A total of 90,142 simple sequence repeats (SSRs) were identified in the contigs giving a frequency of 1 SSR per 1240 nt in the assembly. Mononucleotides were the most abundant SSR marker type (60.9%) followed by di- and trinucleotides. Primer pairs were designed for 75,139 (83.3%) of the SSRs. Fifty SSR primers were applied to 47 hazelnut accessions from nine countries to test their effectiveness and polymorphism. The markers amplified an average of 3.2 fragments. The highest polymorphism information content value was for cavSSR11062 (0.97) and the lowest (0.04) was for cavSSR13386. Two markers were monomorphic: cavSSR12855 and cavSSR13267. Single-copy SSR primers were also assessed for their ability to discriminate 19 Turkish cultivars, and it was found that seven primer pairs (Cav4217, Cav14875, Cav14418, Cav2704, Cav12862, Cav3909, Cav1361) were sufficient for this task. Thus, this study developed new SSR markers for use in hazelnut breeding and genetic studies and also provide a method to distinguish and identify true-type Turkish cultivars.
  • Book Part
    Citation - Scopus: 9
    Differential Expression of Toxoplasma Gondii Micrornas in Murine and Human Hosts
    (Springer, 2016) Allmer, Jens; Saçar Demirci, Müşerref Duygu; Bağcı, Caner
    MicroRNAs are short RNA sequences involved in post-transcriptional gene regulation. MicroRNAs are known for a wide variety of species ranging from bacteria to plants. It has become clear that some cross-kingdom regulation is possible especially between viruses and their hosts. We hypothesized that intracellular parasites, like Toxoplasma gondii, similar to viruses would be able to modulate their host’s gene expression. We were able to show that T. gondii produces many putative pre-miRNAs which are actually transcribed. Furthermore, some of these expressed pre-miRNAs have a striking resemblance to host mature miRNAs. Previous studies indicated that T. gondii infection coincides with increased abundance of some miRNAs. Here we were able to show that many of these miRNAs have close relatives in T. gondii which may not be distinguishable using PCR. Taken together, the similarity to host miRNAs, their confirmed expression, and their upregulation during infection, it suggests that T. gondii actively transfers miRNAs to regulate its host. We conclude, that this type of cross-kingdom regulation may be possible, but that targeted analysis is necessary to consolidate our computational findings. © Springer International Publishing Switzerland 2016. All rights are reserved.