committee

Members

Mika Gustafsson

Associate Professor

  1. Higher education qualifications

        2006: Ph. licentiate in applied mathematical and theoretical physics at Linköping University

        2003: Master of science in theoretical physics at Linköping University

        2002: Master of science in mathematics at Stockholm University 

  1. Docoral degree

       2010, Ph. D. in theoretical and applied mathematical physics at Linköping University. Thesis: Gene networks from high-throughput data –Reverse engineering and analysis. Supervisor: Michael Hörnquist.

  1. Postdoctoral position

       2011-2014 Assistant professor at the Center for Personalized Medication, IKE, Linköping University.        Responsible for the bioinformatics unit.

       2010 – 2011 Senior researcher at the Swedish National Road and Transport Research Institute (VTI).   The main field was data driven large-scale modeling of road surface effects.

  1. Qualification required for appointments as a docent

Is currently undergoing scientific peer-review for docent-ship.

  1. Current position

              2015, Associate Professor of Bioinformatics 100 % research (permanent and well-funded position), IFM, Linköping University, Sweden

International conferences:

NETTAB 2017, Palermo, Italy (oral presentation)

4th Pediatric Allergy and Asthma Meeting, 2015 (invited financed talk)

 System biology workshop in Jena Germany 2015 (invited financed talk)                      

 ICSB/RECOMB with DREAM 2014, San Diego, USA (oral presentation)

CASym workshop, 2013, Copenhagen, (co-organizer)

Netsci, 2013, Copenhagen, (oral presentation)

DREAM3 2010, MIT Boston, USA (invited presentation)

Publications:

  1. Magnusson M, Mariotti G P, Köpsén M, Lövfors W, Gawel D R, Jörnsten R, Linde J, Nordling T, Nyman E, Schulze S, Nestor C E, Zhang H, Cedersund G, Benson M, Tjärnberg A & Gustafsson M. LASSIM –a network inference toolbox for genome-wide mechanistic modelling. PLoS Comp Biol, 2nd revision, IF 5, preprint available at bio archive doi.org/10.1101/115477.
  2. Vlaic S, Tokarski-Schnelle C, Gustafsson M, Dahmen U, Guthke R, & Schuster S. ModuleDiscoverer: Identification of regulatory modules in protein-protein interaction networks. Bioinformatics. 2nd revision, IF 6. Preprint available at bioarchive doi.org/10.1101/119099.
  3. *Nestor C, Lentini A, Gustafsson M, Mattson L, Meehan R, Zhang H, Benson M. A multi-layered, time-series genomics approach reveals TET1-mediated DNA demethylation as a master regulator of human T-helper cell differentiation. Cell Reports , Vol. 16, Issue 2, p559–570, 2016, IF 8.
  4. Hellberg S, Eklund D, Zhang H, Nestor C, Vrethem M, Jernmalm M, Benson M, Gustafsson M#+, and Ernerudh J#, #shared last and +lead corresponding author. Gene Expression Profiling of Resting and Activated CD4+ T Cells in Patients with Multiple Sclerosis, Cell Reports, Vol. 16, Issue 11, p2928, 2016, IF 8.
  5. Serra-Musach J , F Mateo , G Garibay , A Villanueva , E Capdevila , S Jaeger , Aloy , M Gustafsson, M Benson , H Heyn , M Vizoso , H Pérez , Á Cordero , E Gonzalez Suarez , M Esteller , X Yang , J Arribas , G Moreno-Beuno , C Lázaro , M Ferrer, M Pujana. Network activity predicts cancer therapeutic response and synergism. Genome Med, 8 (1), 88, 2016, IF 6.
  6. *Magnusson R, Gustafsson M, Strålfors P, Cedersund G, Nyman E, Combined positive and negative crosstalk activates mTORC2 in insulin resistant adipocytes, Bioscience Reports, BSR20160514, 2016, IF 2.
  7. Mattson L, Lentini A, Gawel D R,1 Badam T, Benson M, Ledin T, Nestor C E, Gustafsson M, Serra-Musach J, Björkander J, Xiang Z, & Zhang H, Potential Involvement of Type I Interferon Signaling in Immunotherapy in Seasonal Allergic Rhinitis, Journal of Immunology Research 2016, Article ID 5153184, IF 3.
  8. *Schleicher J, Conrad T, Gustafsson M, Cerdesund G, Guthke R, Linde J. Facing the challenges of multiscale modelling of bacterial and fungal pathogen-host interactions. Briefings in Functional Genomics,2016. Feb 8, IF 4.
  9. *Gustafsson M#, Gawel D, Eklund D, Ernerudh J, Hellberg S, Konstantinell A, Lentini A, Liljenström R, Wang H, Serra-Musach J, Pujana M A, Zhang H, Nestor C E, Benson M#. #corresponding authors.  A validated gene regulatory network and GWAS to identify early transcription factors in T-cell associated diseases, Science Translational Medicine 2015, 11 Nov 2015 : 313ra178, IF 16
  10. Zhang H, Gustafsson M, Nestor C, Chung F, Benson M. Can targeted omics and systems medicine contribute to individualised medicine in respiratory diseases? Lancet Respir Med 2014 Oct, 2 (10):785-7. IF 10
  11. Gustafsson M, Nestor CE, Zhang H, Barabási AL, Baranzini S, Brunak S, Chung KF, Federoff HJ, Gavin AC, Meehan RR, Picotti P, Pujana MA, Rajewsky N,. Smith KGC, Sterk PJ, Villoslada P, Benson M. Systems medicine: can it contribute to predictive, preventative, personalized and participatory health care? Genome Med 2014 Oct 17, 6 (10):82. IF 6
  12. Bruhn S, Fang Y, Barrenäs F, Gustafsson M, Zhang H, Konstantinell A, Krönke A, Sönnichsen B, Bresnick A, Dulyaninova N,  Wang H, Zhao Y, Klingelhöfer J, Ambartsumian N, MK Beck,  Nestor CE, Bona E, Xiang Z, Benson M. A generally, applicable module-based translational strategy identifies a key diagnostic and therapeutic candidate gene in allergy. Science Translational Medicine 2014:8;6(218) IF 16
  13. Nestor CE, Barrenäs F,  Wang H, Zhang H, Bruhn S, Jörnsten R, Langston MA, Rogers G, Gustafsson M# , Benson M#. #shared last author. CD4+ T-cell methylation separates allergic patients from healthy controls. Plos Gen 2014;10(1):e1004059 IF 9.
  14. Gustafsson M, Edström M, Gawel D, Nestor CE, Wang H, Zhang H, Barrenäs F, Tojo J, Kockum I, Olsson T, Serra-Musach J, Bonifaci N, Pujana MA, Ernerudh J, Benson M. Integrated genomic and prospective clinical studies show the importance of modular pleiotropy for disease susceptibility, diagnosis and treatment. Genome Med 2014;6(2):17. Highly assessed article. IF 5.
  15. Gawel D, James A, Benson M, Zhang H, R Liljenström, A Muraro C E Nestor, H Zhang, Gustafsson M. Allergic airway database – a user friendly microarray repository. Allergy 2014 69 (8). IF 6.
  16. Nestor C, Björkander J, Ernerudh J, Gustafsson M, Benson M, Zhang H. Sublingual immunotherapy alters expression of IL-4 and its soluble and membrane-bound receptors. Allergy 2014. IF 6.
  17. Bruhn S., Katzenellenbogen M., Gustafsson M., Krönke A., Sönnichsen B.,  Zhang H., and Benson M.  Combining gene expression microarray- and cluster analysis with sequence-based predictions to identify regulators of IL-13 in allergy. Cytokine, 2012, 60(3), 736-740. IF 3.
  18. Sjögren A-K, Barrenäs F., A Muraro, Gustafsson M, Saetrom P., Wang H. and Benson M. Monozygotic twins discordant for intermittent allergic rhinitis differ in mRNA and protein levels. Allergy, 2012, 67(6), 831-833. IF 6.
  19. Zhao Y., Wang H., Gustafsson M., Muraro A., Bruhn S. and Benson M., Combined Multivariate and Pathway Analyses Show That Allergen-Induced Gene Expression Changes in CD4(+) T Cells Are Reversed by Glucocorticoids.  PLoS ONE, 2012, 7(6). IF 4.
  20. Gustafsson M., Lundberg T., Andren P. Prognostic models for the condition indices in the Swedish Transport Administration's Pavement Managment System – Macrotexture, MPD, 2012. VTI rapport 765.
  21. Gustafsson M, Hornquist M. Gene expression prediction by soft integration and the elastic net best performance of the DREAM3 gene expression challenge. PLoS One 2010 Feb 16;5(2):e9134. IF 4.
  22. Gustafsson M, Hörnquist M, Björkegren J, Tegnér J. Genome-Wide System Analysis Reveals Stable yet Flexible Network Dynamics in Yeast. IET Systems Biology 2009;3(4):219-228. IF 2.
  23. Gustafsson M, Hornquist M, Lundstrom J, Bjorkegren J, Tegner J. Reverse engineering of gene networks with LASSO and nonlinear basis functions. Ann N Y Acad Sci 2009 Mar;1158:265-275. IF 4.
  24. Gustafsson M, Hörnquist M, Lombardi A. Comparison and validation of community structures in complex networks. Physica A: Statistical Mechanics and its Applications 2006 7/15;367:559-576. IF 2.
  25. Gustafsson M, Hornquist M, Lombardi A. Constructing and analyzing a large-scale gene-to-gene regulatory network--lasso-constrained inference and biological validation. IEEE/ACM Trans Comput Biol Bioinform 2005 Jul-Sep;2(3):254-261. IF 2.
  26. *FANTOM Consortium, including Gustafsson M as one co-author- The transcriptional network that controls growth arrest and differentiation in a human myeloid leukemia cell line. Nat Genet 2009 May;41(5):553-562.  IF 35.
  27. Gustafsson M, Hornquist M.  Stability and Flexibility from a System Analysis of Gene Regulatory Networks Based on Ordinary Differential Equations. The Open Bioinformatics Journal, 2011, 5, 26-33.
  28. Bruhn S., Katzenellenbogen M., Gustafsson M., Krönke A., Sönnichsen B.,  Zhang H., and Benson M.  Combining gene expression microarray- and cluster analysis with sequence-based predictions to identify regulators of IL-13 in allergy. Cytokine, 2012, 60(3), 736-740. IF 3.
  29. Sjögren A-K, Barrenäs F., A Muraro, Gustafsson M, Saetrom P., Wang H. and Benson M. Monozygotic twins discordant for intermittent allergic rhinitis differ in mRNA and protein levels. Allergy, 2012, 67(6), 831-833. IF 6.
  30. Zhao Y., Wang H., Gustafsson M., Muraro A., Bruhn S. and Benson M., Combined Multivariate and Pathway Analyses Show That Allergen-Induced Gene Expression Changes in CD4(+) T Cells Are Reversed by Glucocorticoids.  PLoS ONE, 2012, 7(6). IF 4.
  31. Gustafsson M., Lundberg T., Andren P. Prognostic models for the condition indices in the Swedish Transport Administration's Pavement Managment System – Macrotexture, MPD, 2012. VTI rapport 765.
  32. Nestor C, Björkander J, Ernerudh J, Gustafsson M, Benson M, Zhang H. Sublingual immunotherapy alters expression of IL-4 and its soluble and membrane-bound receptors. Allergy 2014. IF 6.
  33. Ihs, A., Gustafsson, M., Eriksson, O., Wiklund, M., Sjögren, L., 2011. Road user effect models – the influence of rut depth on traffic safety, VTI rapport 731A.
  34. A Niska, L Sjögren, M Gustafsson,        Measuring the surface evenness of cycle paths. Development and test of a method to assess the riding quality perceived by cyclists based on the longitudinal profile of a cycle path, 2011, VTI Rapport 699
  35. T Lundberg, L Sjögren, M Gustafsson, A Ihs Road surface texture and its variation – Road surface monitoring, VTI notat 5-2011

Peer-reviewed conference contributions

  1. Gustafsson M, Gawel D, Eklund D, Ernerudh J, Hellberg S, Konstantinell A, Lentini A, Liljenström R, Wang H, Zhang H, Nestor C E, Benson M. A validated gene regulatory network and GWAS to identify early transcription factors in T-cell associated diseases. RECOMB/ISCB conference on regulatory & systems genomics, San Diego, USA, 2014.
  2. Köpsen M, Lövfors W, Cedersund G, Benson M, and Gustafsson M, LASSIM -a network inference toolbox for genome-wide mechanistic modelling. RECOMB/ISCB conference on regulatory & systems genomics, San Diego, USA, 2014.

4. Research review articles

  1. Schleicher J, Conrad T, Gustafsson M, Cerdesund G, Guthke R, Linde J. Facing the challenges of multiscale modelling of bacterial and fungal pathogen-host interactions. Briefings in Functional Genomics (under review). IF 4.
  2. Zhang H, Gustafsson M, Nestor C, Chung F, Benson M. Can targeted omics and systems medicine contribute to individualised medicine in respiratory diseases? Lancet Respir Med 2014 Oct, 2 (10):785-7. IF 10
  3. Gustafsson M, Colm E. Nestor, Huan Zhang, Albert-László Barabási, Sergio Baranzini, Sören Brunak, Kian Fan Chung, Howard J. Federoff , Anne-Claude Gavin, Richard R. Meehan, Paola Picotti, Miquel Àngel Pujana, Nikolaus Rajewsky, Kenneth G. C. Smith, Peter J. Sterk, Pablo Villoslada, Mikael Benson. Systems medicine: can it contribute to predictive, preventative, personalized and participatory health care? Genome Med 2014 Oct 17, 6 (10):82. IF 6

 

5. Peer-reviewed book chapter

  1. Gustafsson M. and Hörnquist M., Integrating various data sources for improved quality in reverse engineering of gene regulatory networks. Handbook of Research on Computational Methodologies in Gene Regulatory Networks, IGI Global, 2009, 476-496.

7. Open access computer programs or databases you have developed

  1. LASSIM -a network inference toolbox for genome-wide mechanistic modelling. https://gitlab.com/Gustafsson-lab/

 

8. Others (popular science articles)

  1. Gustafsson M. Jonasson L, Jörnsten R, Nelander S, Nestor C, Nielsen J, Norrby Teglund A, Liljenström R, Zhang H, Benson M. Ämnesörversikt Systemmedicin, 2014. Scientific report for the Swedish research Council
  2. The CASyM Consortium. The CASyM roadmap: Implementation of  Systems Medicine across Europe. June 2014. Scientific Reports for the DG Research, Direcorate of Health, European Commission

Register Now



Highlights

Brochure

Get your free Genome San Diego 2018, Conference Brochure