Bioinformatics for CNS research

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Research into the development, function and pathologies of the nervous system deserves the best bioinformatics support.

Whether you are tracking the development of the brain in mice, studying a neuropathology with iPSC-derived neurons or characterizing the microenvironment of CNS tumors, we ensure you get the most out of your ‘omics data.

Our expertise is particularly strong in studying the tumors of the nervous system as well as the molecular biology of neurodegenerative pathologies.

Below you will find some highlights. Do leave us a message if you, too, would like to have our bioinformatics support!

Leave us a short description of your bioinformatics needs and we will be in touch very soon!

Omics data analysis in CNS research

How does the nervous system develop and maintain itself? How does it not maintain itself, and degenerate? What genes, proteins and pathways can be targeted to treat the CNS diseases?

The full arsenal of modern 'omics measurements is used to answer such questions in neurobiology, neurology and neuro-oncology.

The analysis of DNA-sequencing and SNP arrays enable studying the genetic predisposition to CNS pathologies. Read more about our services and references in genetics. We also analyze whole-genome, exome and gene panel sequencing data to study somatic mutations in the CNS tumors; see cancer research.

RNA-sequencing, proteomic and epigenomic measurements allow

  • identifying cellular identities through the development of the nervous system (single-cell approaches in particular),
  • discovering the mechanisms in which diseases arise and progress (examples from multiple CNS pathologies in the paper list below), and
  • studying the mechanisms of action or drugs (read case stories)

Learn more

Selected publications from our customers

  • Martins, R. R. et al. (2022). Transcriptomic signatures of telomerase-dependent and -independent ageing, in the zebrafish gut and brain. bioRxiv 2022.05.24.493215; doi: 101677. https://doi.org/10.1101/2022.05.24.493215
  • Tiihonen, J. et al. (2020). Neurobiological roots of psychopathy. Molecular psychiatry, 25(12), 3432–3441. https://doi.org/10.1038/s41380-019-0488-z
  • Oksanen, M. et al. (2020). NF-E2-related factor 2 activation boosts antioxidant defenses and ameliorates inflammatory and amyloid properties in human Presenilin-1 mutated Alzheimer's disease astrocytes. Glia, 68(3), 589–599. https://doi.org/10.1002/glia.23741
  • Tiihonen, J. et al. (2019). Sex-specific transcriptional and proteomic signatures in schizophrenia. Nature communications, 10(1), 3933. https://doi.org/10.1038/s41467-019-11797-3

Selected publications from our team

  • Pekkarinen, M. et al. (2022). Integrative DNA methylation analysis of pediatric brain tumors reveals tumor type-specific developmental trajectories and epigenetic signatures of malignancy. bioRxiv 2022.03.14.483566 doi: https://doi.org/10.1101/2022.03.14.483566
  • Filppu, P. et al. (2021). CD109-GP130 interaction drives glioblastoma stem cell plasticity and chemoresistance through STAT3 activity. JCI insight, 6(9), e141486. https://doi.org/10.1172/jci.insight.141486
  • Loppi, S. et al. (2021). Peripheral inflammation preceeding ischemia impairs neuronal survival through mechanisms involving miR-127 in aged animals. Aging cell, 20(1), e13287. https://doi.org/10.1111/acel.13287
  • Morianos, I. et al. (2020). Activin-A limits Th17 pathogenicity and autoimmune neuroinflammation via CD39 and CD73 ectonucleotidases and Hif1-α-dependent pathways. Proceedings of the National Academy of Sciences of the United States of America, 117(22), 12269–12280. https://doi.org/10.1073/pnas.1918196117
  • Moradi, E. et al. (2019). Supervised pathway analysis of blood gene expression profiles in Alzheimer's disease. Neurobiology of aging, 84, 98–108. https://doi.org/10.1016/j.neurobiolaging.2019.07.004
  • Pölönen, P. et al. (2019). Nrf2 and SQSTM1/p62 jointly contribute to mesenchymal transition and invasion in glioblastoma. Oncogene, 38(50), 7473–7490. https://doi.org/10.1038/s41388-019-0956-6
  • Luoto, S. et al. (2018). Computational Characterization of Suppressive Immune Microenvironments in Glioblastoma. Cancer research, 78(19), 5574–5585. https://doi.org/10.1158/0008-5472.CAN-17-3714
  • Nordfors, K. et al. (2018). Whole-exome sequencing identifies germline mutation in TP53 and ATRX in a child with genomically aberrant AT/RT and her mother with anaplastic astrocytoma. Cold Spring Harbor molecular case studies, 4(2), a002246. https://doi.org/10.1101/mcs.a002246
  • Hyysalo, A. et al. (2017). Laminin α5 substrates promote survival, network formation and functional development of human pluripotent stem cell-derived neurons in vitro. Stem cell research, 24, 118–127. https://doi.org/10.1016/j.scr.2017.09.002
  • Granberg, K. J. et al. (2017). Strong FGFR3 staining is a marker for FGFR3 fusions in diffuse gliomas. Neuro-oncology, 19(9), 1206–1216. https://doi.org/10.1093/neuonc/nox028

Contact us

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Antti Ylipää
Antti Ylipää CEO, co-founder Genevia Technologies Oy +358 40 747 7672

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Genevia RNA-Seq Bioinformatics Grant 2022