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Kulak, Dept. Development and Regeneration

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Vergelijkende transcriptoomanalyse van de mens met andere diersoorten (voor banaba)

Op basis van informatie bekomen uit genoombrowsers en analyse van big data bestanden (bijvoorbeeld genbank files) worden genen en hun transcripten met elkaar vergeleken van zowel mens als verschillende diersoorten. Dit levert informatie op over de functie van genen, ontwikkeling van organismen en evolutie. Toegepaste technieken zijn textmining, databases manipuleren en aanmaken, sequentieanalyse en visualisatietechnieken.

Abstract Bachelor Project FBT 2018-2019: Analysis of elastomeric scaffolds for skeletal muscle tissue engineering

Current therapies regarding volumetric muscle loss do not meet patients’ needs. As volumetric muscle loss can lead to functional defects, increased stiffness and reduced functional muscle contraction and relaxation, new approaches are warranted. This study aims to evaluate the applicability of porous elastomeric scaffolds in skeletal muscle tissue engineering. These polyester scaffolds include poly glycerol sebacate and poly xylitol sebacate whether or not crosslinked with citric acid, obtaining poly glycerol sebacate citrate and poly xylitol sebacate citrate respectively. Four different sterilization methods were assessed. Treatment with ethanol, peracetic acid, UV irradiation and lyophilization all have shown to be sufficient for microorganism elimination. Additionally, alternative pre-treatments were assessed regarding cell viability.

Results of a live/dead staining have shown that the scaffolds need an ethanol treatment or an incubation period in growth medium prior to cell seeding. Based on live/dead and immunocytochemistry assays, the building blocks that make up the elastomeric scaffolds (citric acid, sebacic acid, glycerol and xylitol) have proven to have no adverse effect on the survival and differentiation of the myoblasts. Visualization of the cells after a propidium iodide staining, demonstrated a minimum penetration extent of the myoblasts in the scaffolds up to a depth of approximately 500 µm. Moreover, myoblasts were distributed in a homogeneous manner and seemed to survive at this depth indicating the scaffolds have the ability to provide for a sufficient transport of nutrients, growth factors and waste products. Furthermore, results of an Alamar blue assay demonstrated no significant differences in metabolism rate of myoblast populations seeded on each scaffold (P < 0,05). In conclusion, myoblasts are able to penetrate, survive and proliferate when seeded on top of these scaffolds, making them highly promising for skeletal muscle tissue engineering applications. However, to make a selection in these scaffolds regarding their suitability as temporary extracellular matrix, further research is needed.

Abstract 2018-2019: muscle tissue gene expression comparison between human and mouse

Background

Countless studies use mice to perform experiments on for fundamental or applied research. This research plays an important role in solving issues that impact the overall well-being of humans. Therefore we have to understand which genes and pathways in Mus musculus are representable for Homo sapiens and perhaps more importantly, which ones are not. Cross-platform cross-species meta-analyses are powerful bioinformatic workflows to find similarities or differences across different studies that use gene expressions from micro arrays. This project analyses muscle tissue of Homo sapiens and Mus musculus in a postexercise context.

Method

R was used as the programming language to create the workflow. The genes that were annotated to the micro array expression values, were orthologues that were found via NCBI HomoloGene. Multiple meta-analyses for differential expression were tested, among which most notably; the REM and rOP methods (e.g. genes have to be differentially expressed in at least +-70% of all studies). For the meta-pathway analysis MAPE (Meta-Analysis Pathway Enrichment) software was used with rOP as the method to calculate the p-values of the genes and Fisher’s exact test for the Pathway Enrichment. Additionally, pathway clustering was performed to make pathway screening easier. Interesting pathways were visualized on gene-level to look for potential differences between species.

Results

Meta-analysis was done cross-platform cross-species (e.g. one study with mouse samples after 2 hours of exercise and 1 under the same conditions for human). Parameters were changed to let the rOP algorithm search for DEG’s1 within every individual study, but also across the species, so that both different and similar DEG’s would be used to search for pathways (this setup created the best pathway results). Pathway analysis resulted into logical pathways that were present in mouse and/or human combined with the fact that the FDR values and amount of relevant genes per pathway were adequate. However, the majority of the pathways found were as to be expected. No significant or new discoveries were found in the similarities between Homo sapiens and Mus musculus. Some of the pathways were visualised at gene-level at a certain time point in order to find differences between mouse and human, resulting in differently activated gene patterns or different subpathways.

Conclusions

More relevant pathways with more differentially expressed genes are found via a metaanalysis workflow compared to the conventional non-meta-method. Timepoints were compared, and even though the metabolism of mice is faster than that of humans, the timepoints that matched best were the same ones (e.g. samples after 2 hours match best in human and mouse). After pathway visualization, it’s clear that most pathways are activated in both organisms within similar timepoints, but are different on a gene-level (overexpression versus under expression or different subpathways within the pathway). 

 

Abstract traineeship advanced bachelor of bioinformatics 2017-2018:  Comparative transcriptomic analysis between species

During the internship, in the KuLeuven of Kortijk, several projects, that were given by the mentor, were handled by the intern. The first one was the processing and comparison of expression data between data of 2 articles and the data given by a laboratory in Leuven. For this several normalizations were tested before an actual PCA could be done. As for the visualization, there were also numerous packages that were tested to produce 3D plots and to see if they had the ability to export it as a vector (pdf or svg).

In the following assignment, the intern also had to find a way as to how they would visualize the differences between dendrograms created from the hierarchical clustering of species based on GC content, GC landscapes and the tree of life. For this the package dendextend was used to create tanglegrams, which puts two dendrograms next to each other and draws lines to the corresponding species. An entanglement factor was also calculated, this represent the degree of difference between the two dendrograms as a number.

Address

Etienne Sabbelaan 53
8500 Kortrijk
Belgium

Contacts

Traineeship supervisor
Prof. dr. ir. Lieven Thorrez
+32 (0) 56 24 62 31
lieven.thorrez@kuleuven.be
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