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Category: chemistry – Page 6

Chromosomes condense in three timed chemical waves during cell division, study shows

DNA does not float freely in the cell. Instead, it is wrapped around histone proteins to form structures called nucleosomes. These histones carry numerous chemical modifications that act as molecular signals, controlling how tightly the DNA is packaged and which genes are active. During cell division, this DNA-histone complex—known as chromatin—must be further condensed into compact, rod-shaped chromosomes. Histone modifications play a key role in this process: They change significantly during condensation and regulate the conversion of chromatin.

For the first time, researchers have precisely tracked how molecular marks on DNA proteins change during cell division—and disproved a long-held assumption in the process.

An international research team led by Professor Axel Imhof at LMU’s Biomedical Center and Professor William Earnshaw (University of Edinburgh) has analyzed these changes during cell division with unprecedented precision. To this end, the researchers developed an innovative method that synchronizes the division of cell populations. They then employed high-resolution mass spectrometry to precisely record the changes in histone modifications during cell division. The findings are published in Molecular Cell.

How electron structure affects light responses in moiré materials

In materials science, if you can understand the “texture” of a material—how its internal patterns form and shift—you can begin to design how it behaves. That’s the focus of the work of Zhenglu Li, assistant professor in the Mork Family Department of Chemical Engineering and Materials Science at USC Viterbi School of Engineering. Li’s recently published paper in PNAS, titled “Moiré excitons in generalized Wigner crystals,” demonstrates that the way electrons organize themselves inside a material determines how that material responds to light—and how this organization can be engineered.

“Moiré” is a word that will be familiar to anyone who follows fashion. In the context of textiles, it refers to a larger-scale interference pattern that appears when two repeating patterns are slightly misaligned. Imagine brushing a swatch of velvet in different directions; the material reveals different properties depending on how it is ruffled.

Likewise, in the context of nanoscale materials science, an independent, shimmering or wavelike pattern is formed when two overlapping atomically thin layers are overlaid at an acute angle. The new pattern, moiré superlattice, changes how electrons move, which can give the material unusual properties.

Boosting good gut bacteria population through targeted interventions may slow cognitive decline

The origin of neurodegenerative diseases like Alzheimer’s or dementia isn’t limited to the brain. The state of your gut can quietly set off a cycle of chronic, system-wide inflammation that nudges the brain toward cognitive decline. But how does the pathogenesis of a disease that seems purely brain-based begin in the gut—an organ that is mostly busy producing chemicals for digesting food?

It turns out these two entities are linked by the gut-brain axis, a two-way communication superhighway that constantly sends signals between the digestive tract and the central nervous system. It runs on chemical messengers like neurotransmitters and fatty acids, sharing information that shapes our memory, mood, and inflammation triggers.

An analysis of 15 studies involving more than 4,200 participants found that the gut-brain highway can be put to work as a drug-free route to support cognitive health. Tuning the gut microbiota through diet, supplements, or medical interventions such as fecal microbiota transplantation (FMT) can help improve memory, executive function, and overall cognitive performance, particularly in early or mild cases of cognitive impairment.

Frontiers: Year 2020 this gene therapy in mice shows promise for als gene therapy in humans

Gene therapy is an emerging and powerful therapeutic tool to deliver functional genetic material to cells in order to correct a defective gene. During the past decades, several studies have demonstrated the potential of AAV-based gene therapies for the treatment of neurodegenerative diseases. While some clinical studies have failed to demonstrate therapeutic efficacy, the use of AAV as a delivery tool has demonstrated to be safe. Here, we discuss the past, current and future perspectives of gene therapies for neurodegenerative diseases. We also discuss the current advances on the newly emerging RNAi-based gene therapies which has been widely studied in preclinical model and recently also made it to the clinic.

Gene therapy is an emerging therapeutic tool used to deliver functional genetic material to cells in order to correct a defective gene. By delivering a copy of a therapeutic gene to affected cells, the product encoded by that gene [i.e., its messenger RNA (mRNA) and/or proteins] will be continuously synthesized within the cell, utilizing the cell’s own transcriptional and translational machinery (Porada et al., 2013). The main advantage of this technology is that it offers a potentially life-long therapeutic effect without the need for repeated administration. Gene therapy can be used to correct defective genes by introducing a functional copy of the gene, by silencing a mutant allele using RNA interference (RNAi), by introducing a disease-modifying gene, or by using gene-editing technology (Grimm and Kay, 2007; Dow et al., 2015; Saraiva et al., 2016).

Gene therapy vectors can be either viral or non-viral. Different physical and chemical systems can be applied to deliver therapeutic genes to cells without the need of a viral vector. Non-viral vectors have no size limitation for the therapeutic gene, generally have a low immunogenicity risk, and can be produced at relatively low costs (Nayerossadat et al., 2012). However, due to the fact that high therapeutic doses are required when using non-viral technologies, and the resulting gene expression is generally transient, most gene therapies now rely on viral vectors. Numerous viral vector types have been tested in clinic, including vaccinia, measles, vesicular stomatitis virus (VSV), polio, reovirus, adenovirus, lentivirus, γ-retrovirus, herpes simplex virus (HSV) and adeno-associated virus (AAV) (Lundstrom, 2018).

Machine learning identifies catalyst ‘sweet spot’ for greener urea from waste gases

Urea is an extremely important chemical, especially for fertilizers. But, making urea is energy intensive and relies heavily on fossil fuels. However, new findings from Griffith University and the Queensland University of Technology have highlighted new ways to produce urea electrochemically, using electricity and waste gases such as carbon monoxide (CO) and nitrogen oxides (NO) instead.

The paper, “Machine Learning-Assisted Design Framework of Carbon Edge-Dominated Dual-Atom Catalysts for Urea Electrosynthesis,” has been published in ASC Nano.

“The challenge is that when CO and NO react on a catalyst, they usually don’t form urea,” said co-lead author Professor Qin Li from Griffith University.

Anaerobic digestion of poultry droppings for biogas production: a pilot study of renewable energy technology in the agricultural sector

Proper management of agricultural waste is challenging due to diverse sources, high production volumes, seasonal fluctuations, limited technical knowledge, and insufficient funding. These challenges often lead to soil degradation, environmental pollution, and adverse effects on ecosystems and human health. This study aims to investigate biogas production from poultry droppings using Continuous Stirred Tank Reactor (CSTR) Anaerobic Digestion (AD) technology to promote green energy use and as a sustainable solution for agricultural waste management.

Dried poultry manure samples were collected from two poultry farms in Lafia city and from their manure disposal sources. The samples were thoroughly stirred to ensure homogeneity and digested at a mesophilic temperature of 28.0 °C. With an initial solid concentration of 20.0%, the manure was diluted with water at 1:2 ratio to produce an input slurry containing 12.0% total volatile solids by weight. The experiment was conducted from July 20 to September 10, 2025. Parameters including pH, alkalinity, temperature, and biogas flow rate were monitored daily. Chemical and physical analyses of total solids, total volatile solids, and chemical oxygen demand were conducted during startup using three biological replicates (n = 3), with results expressed using statistical tool of mean ± standard error. Volatile fatty acids and alkalinity were measured using the distillation method.

Atomic-level snapshots reveal how a key copper enzyme powers nature’s chemistry

Researchers from the University of Liverpool, Japan, and Argentina have captured atomic-resolution images of an important copper-containing enzyme using advanced X-ray Free Electron Laser (XFEL) technology at SACLA in Japan. XFEL technology generates ultra-bright, ultra-short X-ray pulses, enabling atomic-scale imaging and real-time observation of chemical, biological, and physical processes.

The international team—led by Dr. Svetlana Antonyuk and Professor Samar Hasnain at the University of Liverpool, Professor Takehiko Tosha at the University of Hyogo, and Dr. Masaki Yamamoto at RIKEN SPring-8—studied a protein that plays a key role in the global nitrogen cycle. This protein converts nitrite, an essential nitrogen intermediate, into nitric oxide gas.

The new details reveal how an enzyme called copper nitrite reductase (CuNiR) from three different organisms converts nitrite to nitric oxide gas, using an electron and a proton—a vital process for both biology and the environment.

AI accelerators deliver accurate models for challenging quantum chemistry calculations

The most demanding calculations in quantum chemistry can now be solved with graphics processing unit (GPU) supercomputers. A recently published study shows that software adapted to use GPU hardware can provide not just speed, but also the accuracy needed to solve complex chemistry problems. The work solved the two chemical structures often seen as too complex and expensive to tackle. The advance, published in the Journal of Chemical Theory and Computation, could allow researchers to make meaningful progress in designing new catalysts and improve predicted behaviors of magnetic and electronic materials.

Specifically, the research team—led by computational chemists from NVIDIA, Sandbox AQ, the Wigner Research Centre in Hungary, the Institute for Advanced Study of the Technical University of Munich in Germany, and the Department of Energy’s Pacific Northwest National Laboratory—showed that NVIDIA Blackwell architecture effectively tackles complex simulations. Here, the researchers used a mixture of mathematically precise and approximated approaches to accomplish their goal.

“Our study shows that AI-oriented hardware can do more than provide speed—it can also power chemically accurate, strongly correlated quantum chemistry at the frontier of what is computationally feasible,” said Sotiris Xantheas, a computational chemist at PNNL and study author. Xantheas also serves as the principal investigator of Scalable Predictive methods for Excitations and Correlated phenomena (SPEC), a Department of Energy initiative.

NASA Rover Uncovers Rare Organic Molecules on Mars

“We think we’re looking at organic matter that’s been preserved on Mars for 3.5 billion years,” said Dr. Amy Williams. [ https://www.labroots.com/trending/space/30462/nasa-rover-unc…les-mars-2](https://www.labroots.com/trending/space/30462/nasa-rover-unc…les-mars-2)

Does Mars contain the building blocks for life as we know it? This is what a recent study published in Nature Communications hopes to address as a team of researchers investigated whether the surface of Mars could preserve evidence for life as we know it using experiments from one of its rovers. This study has the potential to help scientists better understand how and where to search for past evidence of life as we know it and comes as NASA is working to return samples from the surface of Mars.

For the study, the researchers examined data obtained from NASA’s Curiosity rover, which has been exploring Gale Crater on Mars since 2012. Recently, it used its cache of scientific instruments to identify more than 20 organic molecules from 3.5-billion-year-old Martian clays. These included a first-time identification of DNA precursors and specific chemicals that are delivered to planets via meteorites.

Why does life prefer one ‘hand’ over the other? New study points to electron spin

A team of scientists has identified a new physical mechanism that could help explain one of the most persistent mysteries in science: why life consistently uses one “handed” version of its molecules and not the other. In a new study led by Prof. Yossi Paltiel of the Center for Nanoscience and Nanotechnology at Hebrew University and Prof. Ron Naaman of the Weizmann Institute, researchers show that electron spin, a fundamental quantum property, can cause mirror-image molecules to behave differently during dynamic processes, even though they are otherwise identical. The work appears in Science Advances.

Many molecules essential to life come in two mirror-image forms, known as enantiomers. Chemically, these forms are nearly indistinguishable. Yet in living systems, only one version is typically used: amino acids are almost exclusively one type, while sugars follow the opposite pattern.

This phenomenon, known as homochirality, has puzzled scientists for more than a century. Existing explanations have struggled to account for why one specific version was selected globally.

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