A research team at the University of Cologne has developed a method called DynaTag, which can detect the binding of proteins to DNA, even in an individual cell. Interactions of proteins with DNA are crucial for gene expression, which has a major impact on diseases such as cancer / publication in ‘Nature Communications’
The binding of proteins to DNA is crucial for producing other proteins, ensuring that all the necessary processes in cells are performed, and for switching genes on or off. Proteins that bind to DNA are called transcription factors. Due to the dynamic interactions of transcription factors with DNA, it is difficult to determine where in the genome transcription factor–DNA interactions occur. A research team at the University of Cologne has now developed the DynaTag method, which reliably identifies these interactions. If the cell nuclei are intact, DynaTag has proven effective with low-input samples and even at the level of the individual cell. The study ‘DynaTag for efficient mapping of transcription factors in low-input samples and at single-cell resolution’ was published in Nature Communications.
“DynaTag outperforms existing methods such as ChIP-seq and CUT&RUN in terms of sensitivity and resolution of results. The new method delivers high-resolution mapping of the DNA regions where transcription factors bind,” says Dr Robert Hänsel-Hertsch, Principal Investigator at the Center for Molecular Medicine Cologne (CMMC) and leader of the study.
In complex organisms such as animals with different tissues and cell types, it is difficult to identify where transcription factors bind to DNA in the genome. According to the researchers, this new method, which enables the analysis of single cells across various tissues, could therefore significantly enhance our understanding of developmental biological processes and disease mechanisms in physiologically relevant systems. In addition, the method can identify the activity of transcription factors in tissue samples. This is significant for clinical research, as tissue samples are routinely obtained from patients for pathological examination.
The researchers demonstrated the method’s advantages in a study on small cell lung cancer in a mouse model. The research group led by Hänsel-Hertsch examined the binding of transcription factors in small cell lung tumours before and after the administration of chemotherapy. “It had already been established that certain signalling pathways promoting resistance or metastasis are activated after chemotherapy in small cell lung cancer. However, it was not known which transcription factors regulate these signalling pathways,” says Hänsel-Hertsch. “With the help of DynaTag, we were able to identify specific transcription factors that show increased binding to genes belonging to these signalling pathways after chemotherapy and are likely to promote further tumour growth.”
DynaTag thus addresses a fundamental technical limitation and opens up new avenues for studying epigenetic regulation in health and disease – particularly in samples that are difficult to access or in rare cell populations.
The study was conducted and funded as part of the Collaborative Research Centre CRC1399 ‘Mechanisms of drug sensitivity and resistance in small cell lung cancer’ of the German Research Foundation (DFG).
Dr Robert Hänsel-Hertsch
+49 221 478 96988
robert.haensel-hertsch@uni-koeln.de
https://www.nature.com/articles/s41467-025-61797-9
https://www.uni-koeln.de/en/university/news/news/press-releases/single-news/new-...
Criteria of this press release:
Business and commerce, Journalists, Scientists and scholars
Biology, Medicine
transregional, national
Research results, Scientific Publications
English
You can combine search terms with and, or and/or not, e.g. Philo not logy.
You can use brackets to separate combinations from each other, e.g. (Philo not logy) or (Psycho and logy).
Coherent groups of words will be located as complete phrases if you put them into quotation marks, e.g. “Federal Republic of Germany”.
You can also use the advanced search without entering search terms. It will then follow the criteria you have selected (e.g. country or subject area).
If you have not selected any criteria in a given category, the entire category will be searched (e.g. all subject areas or all countries).