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Scalable device for culturing and automatically measuring tissue engineered products

Tissue engineering has advanced over the last two decades and has the potential to replace traditional cell-based assays. Today, preclinical drug or toxin screening still relies on cell culture with poor predictive power. Scientists at the University of Göttingen have developed a new device for automated and reliable tissue engineering and drug testing.

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FLIX-NANOPORE for analyzing transcription factor-DNA interactions

FLIX-NANOPORE has been developed to provide the first rapid and genome-wide determination of transcription factor binding sites and transcription factor binding sequences. Transcription factors are cross-linked to DNA at the DNA binding sequence using a femtosecond laser. This is followed by proteolysis, which leaves only individual amino acids covalently bound to their DNA-binding sequence. In the nanopore, the complexes of covalently bound amino acids and nucleobases are sequenced simultaneously, allowing us to identify the transcription factor binding sites and the corresponding sequence.

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Increase or Inhibit Protein Production for selected Genes

Our cutting-edge technology revolutionizes gene regulation by precisely controlling the translation of specific target genes. By modulating the nuclear export of corresponding mRNA, we can either enhance or inhibit gene expression with remarkable specificity. This innovation stems from breakthrough research revealing how defined anti-sense RNAs bind to cognate mRNA in a sequence-specific manner, facilitating its export from the nucleus and driving efficient translation in the cytoplasm. Empower your research with this advanced solution, designed to unlock new possibilities in therapeutic gene therapies.

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AI supported ventilation tube

Our smart ventilation tube revolutionizes the monitoring and control of patient ventilation in anaesthesiology, emergency and intensive care medicine. By integrating a MEMS microphone and a suction channel, it enables precise recording and analysis of of respiratory and ventilation parameters in real time. Using advanced detection algorithms, the tube provides medical staff with important information and recommendations to improve the quality of care and detect abnormalities in ventilation at an early stage.

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Georg-August-Universität Göttingen