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Scientists at Leipzig University, in collaboration with colleagues at Vilnius University in Lithuania, have developed a new method to measure the smallest twists and torques of molecules within milliseconds. The method makes it possible to track the gene recognition of CRISPR-Cas protein complexes, also known as “genetic scissors”, in real time and with the highest resolution. With the data obtained, the recognition process can be accurately characterised and modelled to improve the precision of the genetic scissors. The results obtained by the team led by Professor Ralf Seidel and Dominik Kauert from the Faculty of Physics and Earth Sciences have now been published in the prestigious journal Nature Structural and Molecular Biology.

When bacteria are attacked by a virus, they can defend themselves with a mechanism that fends off the genetic material introduced by the intruder. The key is CRISPR-Cas protein complexes. It is only in the last decade that their function for adaptive immunity in microorganisms has been discovered and elucidated. With the help of an embedded RNA, the CRISPR complexes recognize a short sequence in the attacker’s DNA. The mechanism of sequence recognition by RNA has since been used to selectively switch off and modify genes in any organism. This discovery revolutionized genetic engineering and was already honored in 2020 with the Nobel Prize in Chemistry awarded to Emmanuelle Charpentier and Jennifer A. Doudna.

Occasionally, however, CRISPR complexes also react to gene segments that differ slightly from the sequence specified by the RNA. This leads to undesirable side effects in medical applications. “The causes of this are not yet well understood, as the process could not be observed directly until now,” says Dominik Kauert, who worked on the project as a PhD student.

A newly discovered pathway for formaldehyde oxidation could be an important general mechanism in tropospheric chemistry. In the new route, absorption of sunlight allows organic molecules to react with atmospheric oxygen in a reaction that had not previously been observed. According to the researchers behind the findings, many compounds in the atmosphere are likely to undergo this process, particularly at low altitudes.

‘We discovered a new way molecules in the atmosphere can react,’ says Scott Kable at the University of New South Wales in Australia. He explains that in this process – called photophysical oxidation (PPO) – a molecule absorbs sunlight and before it breaks into fragments, it reacts with atmospheric oxygen to produce free radicals. In the common photochemical oxidation (PCO) reaction, which has been known for several decades, the molecules are first split by sunlight and then the fragments react with oxygen. ‘Importantly, the free radical fragments formed in the first step of PCO can be measured separately in the atmosphere or a lab,’ points out Kable.

The team demonstrated the PPO mechanism using formaldehyde as a model system. Meredith Jordan from the University of Sydney mentions that many organic compounds released to the environment turn into formaldehyde on their way to being oxidised to carbon dioxide. ‘But most importantly for our research, the spectroscopy and photochemistry of this compound are very well understood,’ she says. ‘Without this detailed pre-existing knowledge, we wouldn’t have been able to find the evidence of PPO.’

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Ammonia, chemically written as NH₃, is widely used across industries ranging from textiles to pharmaceuticals and is an important component in the manufacture of fertilizers. For its current use, ammonia is stored in pressure-resistant containers after liquefying it at temperatures of-27 Fahrenheit (−33 degrees Celsius).

Developing Novel DNA-Based Mechano-Technologies For Human Health — Dr. Khalid Salaita, Ph.D. — Emory University

Dr. Khalid Salaita, Ph.D. (https://www.salaitalab.com/salaita) is a Professor of Chemistry at Emory University in Atlanta, Georgia (USA), program faculty in the Department of Biomedical Engineering at Georgia Tech and Emory, program member of Cancer Cell Biology at Winship Cancer Institute, and most recently is the recent winner Future Insight Prize given by Merck KGaA, Darmstadt, Germany (https://www.emdgroup.com/en/research/open-innovation/futurei…aming.html) for his cutting edge work in the area of mechanobiology.

Continue reading “Dr. Khalid Salaita, PhD — Emory University — Developing Novel DNA-Based Mechano-Technologies” »

Objective: This study describes the expression profiles and roles of cardiac pigment epithelium-derived factor (PEDF) during cardiac development.

Methods: Gene datasets from the Gene Expression Omnibus (GEO) database were used to analyze the correlation between cardiac PEDF expression and heart disease. Western blotting.

Immunohistochemistry, histological staining and echocardiography were used to assess the expression patterns and functions of PEDF during cardiac development.

When asked how this model can cover such a broad scale, Xie says, that it “is rooted in the integration of mechanistic modeling and ML statistical methods, which allows the model to provide a more comprehensive and nuanced understanding of various aspects of RNA and related processes, while quantifying uncertainties due to limited knowledge.”

For example, she explains that, “The mechanistic aspect of the model captures intricate physical and chemical properties at the atomic level, which supports a deep understanding of the underlying biological processes, and the machine-learning element can effectively capture patterns in complex datasets—such as molecular simulations and single-molecule fluorescence microscopy time-course data—and learn relationships that might not be explicitly described in existing mechanistic models.”

In addition to helping scientists better understand the fundamental biology of RNA, the Northeastern team’s hybrid model promises many commercial benefits in the production of monoclonal antibodies, cell and gene therapies, and mRNA vaccines. As Xie says, “It can advance the knowledge of RNA manufacturing mechanisms and guide simultaneous design/control strategies at different levels, such as RNA sequence selection and specifications of critical quality attributes, with less experiments.”

A new study by researchers at the University of Cambridge reveals a surprising discovery that could transform the future of electrochemical devices. The findings offer new opportunities for the development of advanced materials and improved performance in fields such as energy storage, brain-like computing, and bioelectronics.

Electrochemical devices rely on the movement of charged particles, both ions and electrons, to function properly. However, understanding how these charged particles move together has presented a significant challenge, hindering progress in creating new materials for these devices.

In the rapidly evolving field of bioelectronics, soft conductive materials known as conjugated polymers are used for developing medical devices that can be used outside of traditional clinical settings. For example, this type of materials can be used to make wearable sensors that monitor patients’ health remotely or implantable devices that actively treat disease.

Scientists have created an innovative model membrane electrode with hollow giant carbon nanotubes and a wide range of nanopore dimensions. The invention aids in understanding electrochemical behaviors and could significantly advance our knowledge of porous carbon materials in electrochemical systems.

Researchers at Tohoku University and Tsinghua University have introduced a next-generation model membrane electrode that promises to revolutionize fundamental electrochemical research. This innovative electrode, fabricated through a meticulous process, showcases an ordered array of hollow giant carbon nanotubes (gCNTs) within a nanoporous membrane, unlocking new possibilities for energy storage and electrochemical studies.

The key breakthrough lies in the construction of this novel electrode. The researchers developed a uniform carbon coating technique on anodic aluminum oxide (AAO) formed on an aluminum substrate, with the barrier layer eliminated. The resulting conformally carbon-coated layer exhibits vertically aligned gCNTs with nanopores ranging from 10 to 200 nm in diameter and 2 μm to 90 μm in length, covering small electrolyte molecules to bio-related large matters such as enzymes and exosomes. Unlike traditional composite electrodes, this self-standing model electrode eliminates inter-particle contact, ensuring minimal contact resistance — something essential for interpreting the corresponding electrochemical behaviors.

Gas accidents such as toxic gas leakage in factories, carbon monoxide leakage of boilers, or toxic gas suffocation during manhole cleaning continue to claim lives and cause injuries. Developing a sensor that can quickly detect toxic gases or biochemicals is still an important issue in public health, environmental monitoring, and military sectors. Recently, a research team at POSTECH has developed an inexpensive, ultra-compact wearable hologram sensor that immediately notifies the user of volatile gas detection.

[Professor Junsuk Rho’s research team at POSTECH develops wearable gas sensors that display instantaneous visual holographic alarm.].