Lifeboat Foundation

During photosynthesis, a symphony of chemicals transforms light into the energy required for plant, algal, and some bacterial life. Scientists now know that this remarkable reaction requires the smallest possible amount of light – just one single photon – to begin.

A US team of researchers in quantum optics and biology showed that a lone photon can start photosynthesis in the purple bacterium Rhodobacter sphaeroides, and they are confident it works in plants and algae since all photosynthetic organisms share an evolutionary ancestor and similar processes.

The team says their findings bolster our knowledge of photosynthesis and will lead to a better understanding of the intersection of quantum physics in a wide range of complex biological, chemical, and physical systems, including renewable fuels.

In a collaboration with Groningen University, Professor Jørgen Kjems and his research group at Aarhus University have achieved a remarkable breakthrough in developing tiny nano-sized pores that can contribute to better possibilities for, among other things, detecting diseases at an earlier stage.

Their work, recently published in the journal ACS Nano, shows a new innovative method for finding specific proteins in complex biological fluids, such as blood, without having to label the proteins chemically. The research is an important milestone in nanopore technology, and could revolutionize medical diagnostics.

Nanopores are tiny channels formed in materials, that can be used as sensors. The researchers, led by Jørgen Kjems and Giovanni Maglia (Groningen Univ.), have taken this a step further by developing a special type of nanopore called ClyA with scanner molecules, called nanobodies, attached to it.

Artificial intelligence (AI) and its latest contribution to the development of anti-aging drugs has paved the way for breakthrough discoveries in modern medicine.

Researchers, using AI technology, have successfully identified three chemicals that specifically target malfunctioning cells, believed to be associated with certain cancers and Alzheimer’s disease.

A group of scientists from the University of Edinburgh developed an AI algorithm to screen a collection of over 4,300 chemical compounds.

In situ bioprinting, which involves 3D printing biocompatible structures and tissues directly within the body, has seen steady progress over the past few years. In a recent study, a team of researchers developed a handheld bioprinter that addresses key limitations of previous designs, i.e., the ability to print multiple materials and control the physicochemical properties of printed tissues. This device will pave the way for a wide variety of applications in regenerative medicine, drug development and testing, and custom orthotics and prosthetics.

The emergence of regenerative medicine has resulted in substantial improvements in the lives of patients worldwide through the replacement, repair, or regeneration of damaged tissues and organs. It is a promising solution to challenges such as the lack of organ donors or transplantation-associated risks. One of the major advancements in regenerative medicine is on-site (or “in situ”) bioprinting, an extension of 3D printing technology, which is used to directly synthesize tissues and organs within the human body. It shows great potential in facilitating the repair and regeneration of defective tissues and organs.

Although significant progress has been made in this field, currently used in situ bioprinting technologies are not devoid of limitations. For instance, certain devices are only compatible with specific types of bioink, while others can only create small patches of tissue at a time. Moreover, their designs are usually complex, making them unaffordable and restricting their applications.

How can the mindless microscopic particles that compose our brains ‘experience’ the setting sun, the Mozart Requiem, and romantic love? How can sparks of brain electricity and flows of brain chemicals literally be these felt experiences or be ‘about’ things that have external meaning? How can consciousness be explained?

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Researchers at the University of Houston are working to make T-cell immunotherapy safer, developing a tool called CrossDome, which uses a combination of genetic and biochemical information to predict if T-cell immunotherapies might mistakenly attack healthy cells.

T-cell based immunotherapies hold tremendous potential in the fight against cancer and infectious diseases, thanks to their capacity to specifically target diseased cells, including cancer metastasis. Nevertheless, this potential has been tempered with safety concerns regarding the possible recognition of unknown off targets displayed by healthy cells.

In one case, scientists created special T-cells that were supposed to target a protein found in a type of skin cancer called melanoma. However, these T-cells also ended up attacking a different protein found in the heart cells of some patients. This caused severe damage to the heart.

Scientists have created one of the most detailed 3D images of the synapse, the important juncture where neurons communicate with each other through an exchange of chemical signals. These nanometer-scale models will help scientists better understand and study neurodegenerative diseases such as Huntington’s disease and schizophrenia.

The new study appears in the journal PNAS and was authored by a team led by Steve Goldman, MD, Ph.D., co-director of the Center for Translational Neuromedicine at the University of Rochester and the University of Copenhagen. The findings represent a significant technical achievement that allows researchers to study the different cells that converge at individual synapses at a level of detail not previously achievable.

“It is one thing to understand the structure of the synapse from the literature, but it is another to see the precise geometry of interactions between individual cells with your own eyes,” said Abdellatif Benraiss, Ph.D., a research associate professor in the Center for Translational Neuromedicine and co-author of the study. “The ability to measure these extremely small environments is a young field, and holds the potential to advance our understanding of a number of neurodegenerative and neuropsychiatric diseases in which synaptic function is disturbed.”

The search for extraterrestrial life in our solar system just got more exciting. A team of scientists including Southwest Research Institute’s Dr. Christopher Glein has discovered new evidence that the subsurface ocean of Saturn’s moon Enceladus contains a key building block for life. The team directly detected phosphorus in the form of phosphates originating from the moon’s ice-covered global ocean using data from NASA’s Cassini mission. Cassini explored Saturn and its system of rings and moons for over 13 years.

“In 2020 (published in 2022), we used geochemical modeling to predict that phosphorus should be abundant in Enceladus’ ocean,” said Glein, a leading expert in extraterrestrial oceanography. He is a co-author of a paper in the journal Nature describing this research. “Now, we have found abundant phosphorus in plume ice samples spraying out of the subsurface ocean.”

The Cassini spacecraft discovered Enceladus’ subsurface liquid water and analyzed samples in a plume of ice grains and gases erupting into space from cracks in the moon’s icy surface. Analysis of a class of salt-rich ice grains by Cassini’s Cosmic Dust Analyzer showed the presence of sodium phosphates. The team’s observational results, together with laboratory analogue experiments, suggest that phosphorus is readily available in Enceladus’ ocean as phosphates.

Ultra-high pressure can have strange effects in physics and chemistry, and in a new study, high-pressure modeling has led to the prediction of four new compounds: compounds that don’t form in normal ways, have crystal structures we’ve never seen before, and can even act as superconductors in certain temperatures.

Those compounds are Li₁₄ Cs, Li₈Cs, Li₇Cs, and Li₆Cs, and they’re all formed from lithium (Li) and cesium (Cs) – though not in a conventional way. All four are superconductors, which means electricity can flow through them without resistance or energy loss.

The scientists behind the study used a special crystal structure prediction algorithm called USPEX (Universal Structure Predictor: Evolutionary Xtallography) to find these new compounds. It’s known as an evolutionary algorithm, using a range of methods to figure out the probability of how atoms will link together.