Center for non-coding RNA in Technology and Health (RTH)

The center aims at developing technologies, computational methods as well as experimental approaches for analysis of the mammalian genome for non-coding RNAs in relation to (inflammatory) diseases. The center will focus on developing these technologies to exploit them and the findings in relation to diabetes. The center consists of a number of national and international partners, with the core located at the Faculty for Health and Medical Sciences of University of Copenhagen.

The people in the center cover a range of expertises including computational biology, RNA bioinformatics, molecular models in diabetes, RNA biology, animal models, functional genomics and high-throughput sequence analysis.

Join us

We are always looking for motivated and talented young scientists as well as projects or colaborations within the areas of the center. Feel free to contact us with suggestions or to ask for more information.


Profiling Ribose Methylations in RNA

2014-11-26: Researchers lead by Prof. Henrik Nielsen from RTH publish the first paper on profiling Ribose Methylations in RNA based on high-throughput sequencing. Whereas high-throughput methods has now been established for DNA, searches for RNA by high-throughout technologies is just emerging. Here the authors describe their method, RiboMeth-Seq, for discovery of one of the most abundant types of modifications in RNA. See the paper here.

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For previous news, see here.



Seminar: Molecular profiling of Colon Cancer

2015-04-16: by Francis Barany, Professor of Microbiology and Immunology, Weill Cornell Medical College, US. The seminar will take place April 16th, 14.00-15.00 at University of Copenhagen, Orangeriet, Dyrlægevej 36, Frederiksberg C

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PhD Defence: Aashiq Hussain Mirza

2015-04-17: Structured non-coding RNAs in Autoimmune and Inflammatory Diseases. The defence will take place on April 17th at 14:00 in Medical Museion auditorium, Bredgade 62, 1260 Copenhagen

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For previous events, see here.

Recent resources

miRPD: miRNA-Protein-Disease as­so­ci­a­ti­ons

Software and Data Resource

miRNA-Disease associations inferred from Protein-dicease associations


Webserver and Software

Identifying local RNA structures disrupted by SNPs

Meta RNA Modules


RNA 3D modules in structural alignments


Research outset

The human genome, made up of DNA, consists of three billion building blocks (nucleotides) where some regions (stretches) are complete genes. We all carry variants of the genes and some cause diseases. Here, the goal is to investigate the specific class of genes, the non-coding RNA genes, in relation to diabetes. The non-coding RNA (ncRNA) genes can be the missing components in diseases that previously have been overlooked.

Our research goal is to develop technologies for ncRNA analysis and to search for functional ncRNAs in relation to diabetes and other (inflammatory) diseases.

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Recent publications

Profiling of Ribose Methylations in RNA by High-Throughput Sequencing
Birkedal U, Christensen-Dalsgaard M, Krogh N, Sabarinathan R, Gorodkin J, Nielsen H
Angew Chem Int Ed Engl. 54:451-5, 2015
[ PubMed | Paper ]

Structured RNAs and synteny regions in the pig genome
Anthon C, Tafer H, Havgaard JH, Thomsen B, Hedegaard J, Seemann SE, et al.
BMC Genomics. 15:459, 2014
[ PubMed | Paper ]