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.

News

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.

Events


Summer School - Applied Deep Learing in Bioinformatics

The 3rd Summer School on Applied Deep Learing in Bioinformatics is an opportunity for you to learn and get hands on experience with data science techniques and how to apply these beyond the topics of CRISPR and network biology. The format will consist of an approximately equal mix of lectures and hands-on.

Previous events.

Recent resources


cyanobacteria CRISPRi

Data Resource

This browsers show the CRISPRi-dCas9 results for a genome-wide knockdown experimental series in Synechocystis sp. PCC 6803 under 4% and 30% CO2 concentrations

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

CRISPRroots

Software

Post editing on and off-target assess­ment with RNAseq data

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


Computational discovery of conserved RNA structures and functional characterization of a structured lncRNA in Leishmania braziliensis

Espada CR, Anthon C, Magalhaes RDM, Quilles Junior JC, Teles NMM, Pais FS, et al. Noncoding RNA Res. 2025 May 20;14:51-64. eCollection 2025 Oct
[ PubMed | Paper ]

An Overview and Comparative Analysis of CRISPR-SpCas9 gRNA Activity Prediction Tools

Yuan H, Song C, Xu H, Sun Y, Anthon C, Bolund L, et al. CRISPR J. 2025 Apr;8(2):89-104. Epub 2025 Mar 27
[ PubMed | Paper ]