Svetlana Bulashevska

ORCID: 0000-0002-8802-5602
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About
Contact & Profiles
Research Areas
  • Gene expression and cancer classification
  • Bioinformatics and Genomic Networks
  • Gene Regulatory Network Analysis
  • Malaria Research and Control
  • Computational Drug Discovery Methods
  • Microbial Metabolic Engineering and Bioproduction
  • Cancer, Hypoxia, and Metabolism
  • Cellular transport and secretion
  • Pancreatic and Hepatic Oncology Research
  • Cancer Immunotherapy and Biomarkers
  • Advanced Proteomics Techniques and Applications
  • Caveolin-1 and cellular processes
  • Metabolomics and Mass Spectrometry Studies
  • Cancer, Lipids, and Metabolism
  • Aquaculture disease management and microbiota
  • Bayesian Modeling and Causal Inference
  • Erythrocyte Function and Pathophysiology
  • Retinoids in leukemia and cellular processes
  • Cancer Cells and Metastasis
  • Genomics and Chromatin Dynamics
  • Complex Network Analysis Techniques
  • Epigenetics and DNA Methylation
  • Protein Structure and Dynamics
  • Hepatitis B Virus Studies

University of Bonn
2014-2016

Bonn Aachen International Center for Information Technology
2016

German Cancer Research Center
2004-2012

Heidelberg University
2004-2012

Zero to Three
2004

Pancreatic ductal adenocarcinoma (PDAC) represents one of the deadliest cancers in world. All-trans retinoic acid (ATRA) is major physiologically active form vitamin A, regulating expression many genes. Disturbances A metabolism are prevalent some cancer cells. The main aim this work was to investigate deeply components retinoid signaling PDAC compared normal pancreas and prove clinical importance receptor expression. For study, human tumor tissues obtained from patients murine tumors...

10.1002/mc.22158 article EN Molecular Carcinogenesis 2014-04-11

Motivation: High-throughput molecular genetics methods allow the collection of data about expression genes at different time points and under conditions. The challenge is to infer gene regulatory interactions from these get an insight into mechanisms genetic regulation.

10.1093/bioinformatics/bti388 article EN Bioinformatics 2005-03-22

Abstract Urothelial cancers of the bladder (UC) comprise biologically heterogeneous group tumors and display complex genetic alterations. Several changes have been analyzed in detail some them are associated with development progression UCs. Only a few studies, however, focused on identifying order which aberrations may appear during UC tumorigenesis. We 123 papillary UCs by microsatellites for each chromosomal regions that suggested to be specifically involved this type tumor. used Bayesian...

10.1002/ijc.20180 article EN International Journal of Cancer 2004-04-15

We present a statistical method of analysis biological networks based on the exponential random graph model, namely p2-model, as opposed to previous descriptive approaches. The model is capable capture generic and structural properties network emergent from local interdependencies uses limited number parameters. Here, we consider one global parameter capturing density edges in network, parameters representing each node's contribution formation network. modelling suggests novel definition...

10.1186/1471-2105-11-46 article EN cc-by BMC Bioinformatics 2010-01-25

Endosomes constitute a central layer in the regulation of growth factor signaling. We applied flow cytometry, confocal microscopy and automated image quantification to define role Caveolin1 (Cav1) epidermal (EGF) receptor (i) internalization (ii) endosomal trafficking. Antisense‐downregulation Cav1 did not affect EGF:EGFR‐complexes from plasma membrane. Instead, Cav1‐knockdown had profound effect on trafficking caused shift EGF vesicle distribution towards Rab7‐negative compartments at late...

10.1016/j.febslet.2012.02.041 article EN FEBS Letters 2012-03-01

Biological systems and processes are highly dynamic. To gain insights into their functioning time-resolved measurements necessary. Time-resolved gene expression data captures temporal behaviour of the genes genome-wide under various biological conditions: in response to stimuli, during cell cycle, differentiation or developmental programs. Dissecting dynamic patterns from this may shed light on regulatory system. The present approach facilitates discovery. fundamental idea behind it is...

10.1186/s12859-016-1391-0 article EN cc-by BMC Bioinformatics 2016-12-15

The most fatal and prevalent form of malaria is caused by the bloodborne pathogen Plasmodium falciparum (henceforth P.f). Annually, approximately three million people died malaria. Despite P.f devastivating effect globally, vast majority its proteins have not been characterized experimentally. In this work, we provide computational insight that explore modalities regulation for some important group genes P.f, namely components glycolytic pathway, those involved in apicoplast metabolism....

10.1177/117762500700100013 article EN cc-by-nc Gene Regulation and Systems Biology 2007-01-01
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