My publications summarized. What did I do and why.

Personalized Prediction of Proliferation Rates

2017-01-19 2m read

Cancer is a complex disease and manifests in many different forms. In fact, when speaking about cancer we are probably speaking about thousand different diseases and not one. The high level of heterogeneity between and across different cancer subtypes requires large amounts of data to study them. Luckily, we do have large data sets today. However, the kind of knowledge we can extract from those data sets depends a lot on where we got the data from.

Going from metabolites to affected enzymes in cancer

2016-06-21 2m read

When studying cancer or any disease one of the things we are interested in are the alterations that cause the disease. By now, we have quite some arsenal to study genomic aberrations, however assigning those to a specific phenotype is not trivial. This is particularly true for changes affecting metabolism, since there is a myriad of regulation events that take place after gene expression and which drive metabolism. The image above shows just an example of events that can happen between translation of an enzyme gene until it will finally catalyze a reaction.

Building multifunctional peptides by compatible function

2016-04-21 1m read

Artificially designed small peptides are currently quite interesting for medical research since they provide a way to target specific cellular activities. In many cases one wants to combine several functions into a single peptide that is as small as possible. This is problematic as the activity of the peptide is often lost when combining several functions. In our article we propose a design strategy based on “compatible function”, meaning functions that require similar physio-chemical properties of the peptide.

How yeast creates their own signaling landscape

2015-08-28 1m read

Signaling in yeast is often used as a blueprint for human signaling pathways since its general way of function is close to what we can observe in human. This is not only true for signaling pathways within a single yeast cell but also for the ways yeast cells communicate with each other. During the mating of yeast, individual cells communicate their position using distinct pheromones. However, at the same time they also secrete a protein that destroys those very pheromones and thos paradoxically counteracts this signaling.

CPPs and CAPs: Two sides of the same coin

2014-03-25 1m read

Cell penetrating peptides (CPP) and cationic antibacterial peptides (CAP) have similar physicochemical properties and yet it is not understood how such similar peptides display different activities. To address this question, we used Iztli peptide 1 (IP-1) because it has both CPP and CAP activities. Combining experimental and computational modeling of the internalization of IP-1, we show it is not internalized by receptor-mediated endocytosis, yet it permeates into many different cell types, including fungi and human cells.

Immunogenic variety and the Golden Agers

2012-11-30 2m read

The immune system protects us from foreign substances or pathogens by generating specific antibodies. The variety of immunoglobulin (Ig) paratopes for antigen recognition is a result of the V(D)J rearrangement mechanism, while a fast and efficient immune response is mediated by specific immunoglobulin isotypes obtained through class switch recombination (CSR). To get a better understanding on how antibody-based immune protection works and how it changes with age, the interdependency between these two parameters need to be addressed.

Ensuring low noise in the yeast cell cycle

2011-10-07 2m read

The budding yeast genome comprises roughly 6000 genes generating a number of about 10‚ÄČ000 mRNA copies, which gives a general estimation of 1-2 mRNA copies generated per gene. What does this observation implicate for cellular processes and their regulation? Whether the number of mRNA molecules produced is important for setting the amount of proteins implicated in a particular function is at present unknown. In this context, we studied cell cycle control as one of the highly fine tuned processes that guarantee the precise timing of events essential for cell growth.

What influences DNA replication rate in budding yeast?

2010-04-27 2m read

DNA replication begins at specific locations called replication origins, where helicase and polymerase act in concert to unwind and process the single DNA filaments. The sites of active DNA synthesis are called replication forks. The density of initiation events is low when replication forks travel fast, and is high when forks travel slowly. Despite the potential involvement of epigenetic factors, transcriptional regulation and nucleotide availability, the causes of differences in replication times during DNA synthesis have not been established satisfactorily, yet.