Lifeboat Foundation

It’s clear that 2024 is the year of AI breaking into the world’s most prestigious scientific awards.

David Baker, Demis Hassabis and John M. Jumper revealed how amino acids shape protein structure, a finding that could aid in drug discovery.

Hydrated ammonium–magnesium–phosphorus-rich grains have been discovered in Ryugu samples. Embedded within an organic-rich phyllosilicate matrix, they may have been a key source of phosphorus and nitrogen in early terrestrial water reservoirs.

Cell surface proteins play a crucial role in cell communication and in sensing changes in the extracellular environment.

Professor Akihiko Ito and Dr. Fuka Takeuchi from the Department of Pathology at Kindai University Faculty of Medicine, Japan, set out to seek answers to this critical question. They investigated the impact of anti-CADM1 antibodies on neuronal activity, and their findings were made available online on 22 August 2024 and published in the journal Life Sciences on 11 September 2024. the study.

The team injected 3E1, the anti-CADM1 ectodomain antibody, under the mouse skin to study its localization on nerve fibers. Immunohistochemical and immunofluorescence studies revealed that the injected 3E1 was exclusively localized on peripheral nerves in the dermis. The lead author of the study, Prof. Ito highlights, “As CADM1 can recruit neuronal receptors to the plasma membrane, we hypothesized that this accumulation of 3E1 may blunt neuronal sensitivity, i.e., have an analgesic effect, via altering the expression of CADM1 on nerve fibers. However, to our knowledge, there have been no studies that attempted to develop drugs in terms of inhibiting CADM1 in nerves.”

Continue reading “New antibody targeting nerve cells offers long-lasting pain relief” »

Hydrogen fuel, which produces no heat-trapping air pollution at the point of use, could be the future of clean energy. But first, some of the technology around still has to be improved, and researchers at the University of Alberta believe they have made an important step in that direction, AL Circle reported.

The breakthrough out of the University of Alberta is a new alloy material — dubbed AlCrTiVNi5 — that consists of metals such as aluminum and nickel. The alloy has great potential for coating surfaces that have to endure extremely high temperatures, such as gas turbines, power stations, airplane engines, and hydrogen combustion engines.

Continue reading “Scientists develop revolutionary material that could unlock next-level efficiency for existing engines: ‘It opens the door for new possibilities’” »

A recent study suggests that by the Neoproterozoic period, distinct lineages of amoebae, as well as the ancestors of plants, algae, and animals, had already emerged and managed to survive the two global glaciations that covered the planet.

Approximately 800 million years ago (mya), long before the formation of the supercontinent Pangea, Earth’s biodiversity was more varied than previously thought. Brazilian researchers, through the reconstruction of the evolutionary tree of life from ancient amoebas and the ancestors of algae, fungi, plants, and animals, have proposed a scenario where multiple distinct lineages of species coexisted during this era. Their findings are detailed in an article published in the Proceedings of the National Academy of Sciences of the United States of America (PNAS).

According to the literature, several lineages of eukaryotes that first emerged 1.5 billion years ago diversified and established themselves during the Neoproterozoic oxygenation event (850−540 mya), when oxygen levels in the atmosphere and oceans rose significantly owing to changes in the planet’s geochemistry.

Industrial electrochemical processes that use electrodes to produce fuels and chemical products are hampered by the formation of bubbles that block parts of the electrode surface, reducing the area available for the active reaction. Such blockage reduces the performance of the electrodes by anywhere from 10 to 25 percent.

But new research reveals a decades-long misunderstanding about the extent of that interference. The findings show exactly how the blocking effect works and could lead to new ways of designing electrode surfaces to minimize inefficiencies in these widely used electrochemical processes.

Continue reading “Bubble findings could unlock better electrode and electrolyzer designs” »

Living organisms constantly navigate dynamic and noisy environments, where they must efficiently sense, interpret, and respond to a wide range of signals. The ability to accurately process information is vital for both executing interspecies survival strategies and for maintaining stable cellular functions, which operate across multiple temporal and spatial scales [1] (Fig. 1). However, these systems often have access to only limited information. They interact with their surroundings through a subset of observable variables, such as chemical gradients or spatial positions, all while operating within constrained energy budgets. In this context, Giorgio Nicoletti of the Swiss Federal Institute of Technology in Lausanne (EPFL) and Daniel Maria Busiello of the Max Planck Institute for the Physics of Complex Systems in Germany applied information theory and stochastic thermodynamics to provide a unified framework addressing this topic [2]. Their work has unraveled potential fundamental principles behind transduction mechanisms that extract information from a noisy environment.

Bacteria, cells, swarms, and other organisms have been observed acquiring information about the environment at extraordinarily high precision. Bacteria can read surrounding chemical gradients to reach regions of high nutrients consistently [3], and cells form patterns during development repetitively and stably by receiving information on the distribution and concentration of external substances, called morphogens [4]. In doing so, they must interact with a noisy environment where the information available is scrambled and needs to be retrieved without corrupting the relevant signal [5]. All this comes at a cost.

The idea that precision is not free is an old one in the field of stochastic thermodynamics, and the cost usually comes in the form of energy dissipation [6]. This trade-off is even more relevant for biological systems that have limited access to energy sources. Living systems are pushed to find optimal strategies to achieve maximum precision while minimizing energy consumption. Consequently, a complete quantitative description of how these strategies are implemented requires the simultaneous application of information theory and stochastic—that is, noisy—thermodynamics.

Successful reduction of the chemical manufacturing industry’s environmental impact relies on finding a greener way to make the chemical building blocks for common and massively consumed compounds.