Institutionen för biovetenskap
I am Associate Professor in bioinformatics at the University of Skövde, Sweden, and Head of the Bioinformatics research group consisting of a group of 13 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 including 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.
Diabetic Cardiomyopathy Modelling Using Induced Pluripotent Stem Cell Derived Cardiomyocytes: Recent Advances and Emerging ModelsGranéli Cecilia, Hicks Ryan, Brolén Gabriella et al.Stem Cell Reviews, 2019, 15(1), 13-22.
Barrier properties and transcriptome expression in human iPSC-derived models of the blood-brain barrierDelsing Louise, Dönnes Pierre, Sánchez José et al.Stem Cells, 2018, 36(12), 1816-1827.
Current Perspectives on Multi-Omics Data Integration With Application on Toxicity Biomarkers Discovery
Synnergren Jane, Dönnes PierreOpen Access journal of Toxicology, 2018, 2(5), 1-2.
Expression profiling of human pluripotent stem cell-derived cardiomyocytes exposed to doxorubicin - integration and visualization of multi omics data
Holmgren Gustav, Sartipy Peter, Andersson Christian X. et al.Toxicological Sciences, 2018, 163(1), 182-195.
Human iPS-Derived Astroglia from a Stable Neural Precursor State Show Improved Functionality Compared with Conventional Astrocytic Models
Lundin Anders, Delsing Louise, Clausen Maryam et al.Stem Cell Reports, 2018, 10(3), 1030-1045.
Integration of Biomedical Big Data Requires Efficient Batch Effect Reduction
Synnergren Jane, Ghosheh Nidal, Dönnes Pierre10th International Conference on Bioinformatics and Computational Biology (BICOB): Las Vegas, Nevada, USA 19 – 21 March 2018 (76-82). 2018.
A data analysis framework for biomedical big data: Application on mesoderm differentiation of human pluripotent stem cellsUlfenborg Benjamin, Karlsson Alexander, Riveiro Maria et al.PLoS ONE, 2017, 12(6).
A novel maintenance medium extends the life-span and enables long term applications for both human primary hepatocytes and human pluripotent stem cell derived hepatocytes in conventional 2D cultures
Asplund Annika, Synnergren Jane, Andersson Christian X. et al.14th European ISSX Meeting, Cologne, Germany, June 26-29, 2017. International Society for the Study of Xenobiotics, 2017.
Comparative transcriptomics of hepatic differentiation of human pluripotent stem cells and adult human liver tissue
Ghosheh Nidal, Küppers-Munther Barbara, Asplund Annika et al.Physiological Genomics, 2017, 49(8), 430-446.
CSF/serum albumin ratio in dementias: a cross-sectional study on 1861 patients
Skillbäck Tobias, Delsing Louise, Synnergren Jane et al.Neurobiology of Aging, 2017, 59, 1-9.