Leukemia is the most common malignant disease in children patients. In our laboratory (CLIP) a novel subtype of B-cell precursor Acute Lymphoblastic Leukemia (BCP-ALL) with lineage switch during early phase of treatment towards myeloid lineage (swALL) was recently documented. SwALL incidence is almost 4 % of all BCP-ALLs (Slámová et al., 2014). DNA methylation (presence of 5-methylcytosine) is together with post-translational histone modifications and non- coding RNAs an epigenetic mechanism which regulates gene expression without changes of genetic code. DNA methylation is easily detected by bisulphite conversion and subsequent sequencing. The aim of this work was to compare genome-wide DNA methylation patterns between patients with swALL and control BCP-ALLs. The first step in achieving that was revision and improvement of bioinformatic processing protocol for eRRBS data from massive parallel sequencing. To improve the sequence adapter trimming I tested four bioinformatic tools - FAR, cutadapt, Trimmomatic and fastx_clipper. I implemented the fastest and most effective - Trimmomatic into the processing protocol. As a next step I analysed the data with improved protocol and extended the analysis in R programming environment where the comparison of studied groups was performed. The comparison of...
| Identifer | oai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:332193 |
| Date | January 2014 |
| Creators | Dobiášová, Alena |
| Contributors | Fišer, Karel, Novotný, Marian |
| Source Sets | Czech ETDs |
| Language | Czech |
| Detected Language | English |
| Type | info:eu-repo/semantics/masterThesis |
| Rights | info:eu-repo/semantics/restrictedAccess |
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