Institute for Molecular Medicine Finland (FIMM)

Address Tukholmankatu 8
00014 University of Helsinki
Finland
Platforms Biomarkers, Small Molecules

Institute for Molecular Medicine Finland (FIMM) is an international research institute in hosted by the University of Helsinki focusing on human genomics and personalized medicine FIMM integrates molecular medicine research, Technology Centre and Biobanking Infrastructures “under one roof” and thereby promotes translational research and adoption of personalized medicine in health care.

FIMM researchers are involved in several Grand Challenge projects, such as the impact of genome information from the Finnish population in personalized health and medical interventions, development of individualized cancer medicine, and novel diagnostics via imaging of tissue and cells. The disease areas of interest for the 186 research groups cover cancer, cardiovascular diseases, diabetes,addictions, neurological and neuropsychiatric diseases, immunological diseases, and viral infections.

FIMM Technology Ccentre and Biobanking Infrastructures provide research services for local, national and international customers, including collaborations with companies. The infrastructures operated by FIMM are networked with European ESFRI infrastructures EATRIS, BBMRI, ELIXIR and EU- Openscreen.

FIMM is part of the Nordic EMBL Partnership for Molecular Medicine, composed of the European Molecular Biology Laboratory (EMBL) and the centers for molecular medicine in Norway, Sweden and Denmark, and the EU-LIFE network comprising of thirteen top biomedical research institutes around Europe.

Contact

Head of the facility
  • Pekka Ellonen

Expertise

Technologies
  • SangerSequencing
  • NGS-Whole genome sequencing (WGS)
  • NGS-Exome sequencing(WES)
  • Genotyping
Purposes
  • Research
  • Service
Applications
  • Biomarkers discovery and development
  • Disease processes research
  • Epidemiology
  • Single cells studies

Features

Collaboration with industry where the institute collaborated with Genomics expertise (in the last 5 years) <10
% of TIME involved in technology/methods development/innovation/intellectual property related to Genomics 10%

Track record

Key opinion leaders
  • Pekka Ellonen (opinion leader, method development, technologies)
  • Henrikki Almusa (computational methods, pipeline development)

Contact

Head of the facility
  • Pirkko Mattila

Expertise

Technologies
  • RT-PCR
  • NGS- RNA sequencing
Purposes
  • Research
  • Service
Applications
  • Biomarkers discovery and development
  • Disease processes research
  • Human and pathogen transcriptomes
  • Non coding RNA analysis (miRNA, lncRNA, sRNA..)
  • Single cells studies

Features

Collaboration with industry where the institute collaborated with Transcriptomics expertise (in the last 5 years) <10

Track record

Key opinion leaders
  • Pirkko Mattila (opinion leader, method development, technologies)
  • Anu Suoranta (sample preparation, technologies)
  • Bishwa Ghimire (bioinformatics in single cell transcriptomics and bulk RNAseq)
  • Ashwini Kumar (bioinformatics in RNAseq)
  • Caroline Heckman (opinion leader, transcriptomics in hematological cancers)
Publications

Contact

Head of the facility
  • Anni Nieminen

Expertise

Technologies
  • LC-MS
  • Targeted metabolomic assays
Purposes
  • Research
Applications
  • Biomarkers discovery and development
  • Disease processes research
  • Responses to environment

Features

Collaboration with industry where the institute collaborated with Metabolomics expertise (in the last 5 years) <10
% of TIME involved in technology/methods development/innovation/intellectual property related to Metabolomics 10%

Track record

Key opinion leaders
  • Anni Nieminen (opinion leader, method development, technologies)

DATA ANALYSIS for

  • Genomics
  • Proteomics
  • Metabolomics
  • Omics data integration / systems biology
  • Image data analysis

DATA INTERPRETATION for

  • Genomics
  • Proteomics
  • Metabolomics
  • Omics data integration / systems biology
  • Image data analysis

STATISTICS

  • Molecular profiling (omics and others)
  • Metadata (patient/sample information)
  • Methods and policies for information infrastructure, including privacy and security

BIOINFORMATICS

  • Expression profiling with omics for RNAseq, microRNA, other RNA species
  • Methylation profiling with NGS and array types
  • Data integration (“Systems biology”)
  • Genetic analysis for Structural variation detection (Genome, Exome)
  • Drug screening analysis
  • Bio-Imaging informatics
  • Informatics methods to support clinical decisions (diagnostic, predictive tests)
  • Imaging

OMICS INTEGRATION METHODS

  • Own scripts/software

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