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

PhD or Postdoc in computational CRISPR guide RNA design targeting network modules

We are offering either a 3 year PhD or Postdoc in computational CRISPR guide RNA design targeting network modules to commence on August 1st, 2024, or as soon as possible thereafter.
Application deadline: May 19, 2024, 23.59pm CET


CRISPR/Cas9 efficiency explored: bin­ding energies and PAM context

CRISPRsliding logo

30 May 2022. Researchers from RTH and Aarhus University describe the energy-based binding mechanisms of CRISPR/Cas9-gRNAs and use an energy model to assess the cleavage efficiency of Cas9-gRNAs. The model is further applied to describe the DNA "sliding" of Cas9 competing for overlapping PAMs. Read the article here or see the news flash on CRISPR medicine news.

Previous news.


We are currently planning more seminars, stay tuned

Previous events.

Recent resources

Bacillus subtilis PrsA RNAseq data

Data Resource

RNA-seq dataset for a study of the impact of PrsA over-expression on the Bacillus subtilis transcriptome



Post editing on and off-target assess­ment with RNAseq data


Webserver and Software

CRISPR-Cas9 gRNA efficiency prediction webserver based on data integration and deep learning

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.

Research in details .

Recent publications

Generating universal anti-CD19 CAR T cells with a defined memory phenotype by CRISPR/Cas9 editing and safety evaluation of the transcriptome

Pavlovic K, Carmona-Luque M, Corsi GI, Maldonado-Perez N, Molina-Estevez FJ, Peralbo-Santaella E, et al. Front Immunol. 2024 May 29;15:1401683. eCollection 2024
[ PubMed | Paper ]

Comparative RNA Genomics

Backofen R, Gorodkin J, Hofacker IL, Stadler PF* Methods Mol Biol. 2024;2802:347-393
[ PubMed | Paper ]