Biomedical subjects

Guido Jenster

Publications and source records attributed to Guido Jenster.

6 recordsLinked to original sources

PubMed2004

A visualisation concept of dynamic signalling networks.

Cellular processes and pathways are typically delineated in arrow diagrams to depict the relationship between the individual genes or proteins. These simplifications neglect the complexity and non-linearity of cellular regulatory networks. In this review, a three-dimensional (3D) visualisation model is presented that can be helpful in understanding the non-linear behaviour and limited predictability of regulatory networks, as well as their organisation, stability, attractor states, and evolution. A better understanding of the current views of large, complex scale-free networks can assist in planning and interpretation of high throughput microarray experiments.

Biological Evolution↗

PubMed2004

Glycogen synthase kinase-3 beta is involved in the phosphorylation and suppression of androgen receptor activity.

Kinases can phosphorylate and regulate androgen receptor activity during prostate cancer progression. In particular, we showed that glycogen synthase kinase-3 beta phosphorylates the androgen receptor, thereby inhibiting androgen receptor-driven transcription. Conversely, the glycogen synthase kinase-3 beta inhibitor lithium chloride suppressed the glycogen synthase kinase-3 beta-mediated phosphorylation of the androgen receptor, thereby enabling androgen receptor-driven transcription to occur. The androgen receptor hinge and ligand-binding domains were important for both the phosphorylation and the inhibition of transcriptional activity of the receptor by glycogen synthase kinase-3 beta. Furthermore, androgen receptor phosphorylation was augmented by LY294002, an indirect inhibitor of protein kinase B/Akt that inhibits glycogen synthase kinase-3 beta. We also showed that the mutation of various phosphorylation sites on glycogen synthase kinase-3 beta affected the ability of these mutants to co-distribute with the androgen receptor in the cell nucleus, also that both glycogen synthase kinase-3beta and androgen receptor proteins can be found in cell nuclei of prostate cancer tissue samples. Because glycogen synthase kinase-3 beta activity is suppressed after the enzyme is phosphorylated by protein kinase B/Akt and Akt activity frequently increases during the progression of prostate cancer, nullification of the glycogen synthase kinase-3 beta-mediated suppression of androgen receptor activity by Akt likely contributes to prostate cancer progression.

Androgen Receptor Antagonists↗

PubMed2004

Use of artificial androgen receptor coactivators to alter myoblast proliferation.

Skeletal muscle has long been thought to be a target tissue for androgens, eliciting their effect through the androgen receptor. In order to better understand androgen receptor action, a series of mutated androgen receptors were developed and their degree of specificity and cellular responses determined. Specificity, as measured by a reporter assay using HeLa cells, indicated that mutation of the ligand-binding domain or the AR (mutation H865Y), in combination with the p65 transactivating domain, resulted in an increased response to androgens as well as decreased specificity. Transfection of the mutant AR into mouse and rat myoblast cell lines resulted in an increase in expression of the reporter gene consistent with the data from HeLa cells. Overexpression of the wild type or mutant AR into myoblasts and treatment with testosterone induced both greater proliferation and faster differentiation of the cells compared to those expressing endogenous AR. Additionally, when treated with estrogen, these cells were able to proliferate and differentiate to similar levels as cells treated with testosterone. The ability of the mutated AR to act as an artificial coactivator to up-regulate androgen responsive genes is a useful tool for understanding the interaction of androgens and muscle growth.

Animals↗

PubMed2003

Venn Mapping: clustering of heterologous microarray data based on the number of co-occurring differentially expressed genes.

MOTIVATION: To evaluate microarray data, clustering is widely used to group biological samples or genes. However, problems arise when comparing heterologous databases. As the clustering algorithm searches for similarities between experiments, it will most likely first separate the data sets, masking relationships that exist between samples from different databases. RESULTS: We developed a program, Venn Mapper, to calculate the statistical significance of the number of co-occurring differentially expressed genes in any of the two experiments. For proof of principle, we analysed a heterologous data set of 170 microarrays including breast and prostate cancer microarray analyses. Significant overlap was found in an unsupervised analysis between metastasized prostate cancer and metastasized breast cancer and BRCA mutated breast cancer. A comparison between single microarray data and the averaged breast and prostate data sets was also evaluated. This analysis suggests that genes expressed higher in stromal cells are also implicated in metastatic prostate cancer and BRCA mutated breast cancer. The Venn Mapper program identifies overlaps between samples from heterologous data sets and directly extracts the genes responsible for the overlap. From this information novel biological hypotheses may be addressed. AVAILABILITY: Venn Mapper is freely available on http://www.erasmusmc.nl/gatcplatform. SUPPLEMENTARY INFORMATION: http://www.erasmusmc.nl/gatcplatform/vennmapper.html.

Algorithms↗

PubMed2003

AKT-independent protection of prostate cancer cells from apoptosis mediated through complex formation between the androgen receptor and FKHR.

Recent studies suggested that the protection of cell apoptosis by AKT involves phosphorylation and inhibition of FKHR and related FOXO forkhead transcription factors and that androgens provide an AKT-independent cell survival signal in prostate cancer cells. Here, we report receptor-dependent repression of FKHR function by androgens in prostate cancer cells. Transcriptional analysis demonstrated that activation of the androgen receptor caused an inhibition of both wild-type FKHR and a mutant in which all three known AKT sites were mutated to alanines, showing that the repression is AKT independent. In vivo and in vitro coprecipitation studies demonstrated that the repression is mediated through protein-protein interaction between FKHR and the androgen receptor. Mapping analysis localized the interacting domains to the carboxyl terminus between amino acids 350 and 655 of FKHR and to the amino-terminal A/B region and the ligand binding domain of the receptor. Further analysis demonstrated that the activated androgen receptor blocked FKHR's DNA binding activity and impaired its ability to induce Fas ligand expression and prostate cancer cell apoptosis and cell cycle arrest. These studies identify a new mechanism for androgen-mediated prostate cancer cell survival that appears to be independent of the activity of the receptor on androgen response element-mediated transcription and establish FKHR and related FOXO forkhead proteins as important nuclear targets for both AKT-dependent and -independent survival signals in prostate cancer cells.

Apoptosis↗

PubMed2003

Mining microarray datasets aided by knowledge stored in literature.

DNA microarray technology produces large amounts of data. For data mining of these datasets, background information on genes can be helpful. Unfortunately most information is stored in free text. Here, we present an approach to use this information for DNA microarray data mining.

Databases, Genetic↗