Institutionen för biovetenskap
I am Associate Professor in bioinformatics at the University of Skövde, Sweden, and Head of the Translational Bioinformatics research group consisting of a group of 19 researchers with a dedicated interest in bioinformatics. I have a background in Data Science and received my MSc in Computer Sciences from the University of Skövde in 2003. During my graduate studies I developed my expertise in bioinformatics and large-scale omics data analysis and received my PhD from the University of Gothenburg in 2010.
My research is focused on analysis methods for identification of biomarkers and integration of multiple types of omics data. I am PI for several research projects specialized in stem cell differentiation, toxicity testing and disease modeling using stem cell based in vitro systems. I am also leading projects particularly focused on advanced analysis of big data, biomarker identification, and data integration with particular interest in machine-learning methods.
Working in close collaboration with the stem cell industry and the pharmaceutical industry we perform global expression studies including transcriptomics, proteomics, epigenomics, and metabolomics of human pluripotent stem cells during their differentiation towards functional cell types. The results from these studies have revealed mechanistic highlights during the early phases of stem cell differentiation and identified biomarkers with potential importance for applications in toxicity testing, drug development, and disease modeling.
Human Embryonic Mesodermal Progenitors Highly Resemble Human Mesenchymal Stem Cells and Display High Potential for Tissue Engineering Applicationsde Peppo G.M., Svensson S., Lennerås M. et al.Tissue Engineering. Part A, 2010, 16(7), 2161-2182.
Transcriptional profiling of human embryonic stem cells and their functional derivatives
Synnergren JaneDoktorsavhandling: Göteborgs universitet, 2010.
Transcriptional profiling of human embryonic stem cells differentiating to definitive and primitive endoderm and further towards the hepatic lineage
Synnergren Jane, Heins Nico, Brolén Gabriella et al.Stem Cells and Development, 2010, 19(7), 961-978.
Classification of information fusion methods in systems biologySynnergren Jane, Olsson Björn, Gamalielsson JonasIn Silico Biology, 2009, 9(3), 65-76.
Regulation of 'stemness' and stem cell differentiation by microRNAs
Sartipy P., Olsson Björn, Hyllner J. et al.IDrugs. The Investigational Drugs Journal, 2009, 12(8), 492-496.
A Data Integration Method for Exploring Gene Regulatory MechanismsSynnergren Jane, Olsson Björn, Gamalielsson JonasConference on Information and Knowledge Management: Proceedings of the 2nd international workshop on Data and text mining in bioinformatics (81-84). ACM Press, 2008.
Cardiomyogenic gene expression profiling of differentiating human embryonic stem cells
Synnergren Jane, Adak Sudeshna, Englund Mikael et al.Journal of Biotechnology, 2008, 134(1-2), 162-170.
Molecular signature of cardiomyocyte clusters derived from human embryonic stem cells
Synnergren Jane, Åkesson Karolina, Dahlenborg Kerstin et al.Stem Cells, 2008, 26(7), 1831-1840.
Differentiating human embryonic stem cells express a unique housekeeping gene signatureSynnergren Jane, Giesler Therese L., Adak Sudeshna et al.Stem Cells, 2007, 25(2), 473-480.
Mapping of the JDL data fusion model to bioinformatics
Synnergren Jane, Gamalielsson Jonas, Björn OlssonSystems, Man and Cybernetics, 2007. ISIC. IEEE International Conference on (2969-2974). IEEE Press, 2007.