Reactive animation: from piecemeal experimentation to reactive biological systems.

Over the past decade, multi-level complex behavior and reactive nature of biological systems, has been a focus point for the biomedical community. We have developed a computational approach, termed Reactive Animation (RA) for simulating such complex biological systems. RA is an approach for describing the dynamic characteristics of biological systems based on facts collected from experiments.

Reconstructing dynamic regulatory maps.

Even simple organisms have the ability to respond to internal and external stimuli. This response is carried out by a dynamic network of protein-DNA interactions that allows the specific regulation of genes needed for the response. We have developed a novel computational method that uses an input-output hidden Markov model to model these regulatory networks while taking into account their dynamic nature.

Highly sensitive patient-specific real-time PCR SNP assay for chimerism monitoring after allogeneic stem cell transplantation.

Chimerism analysis after allogeneic stem cell transplantation (allo-SCT) is an important diagnostic tool for the documentation of engraftment, early detection of graft failure, and recurrence of the disease. Current assays rely on the genetic polymorphism between the donor and the recipient, and allow semiquantitative or quantitative analysis of chimerism. The most common method in use is based on the amplification of the short tandem repeats (STR).

Leukomogenic factors downregulate heparanase expression in acute myeloid leukemia cells.

Heparanase is a heparan sulfate-degrading endoglycosidase expressed by mature monocytes and myeloid cells, but not by immature hematopoietic progenitors. Heparanase gene expression is upregulated during differentiation of immature myeloid cells. PML-RARalpha and PLZF-RARalpha fusion gene products associated with acute promyelocytic leukemia abrogate myeloid differentiation and heparanase expression.