Lifeboat Foundation

This study uncoversthe pivotal role of the enzyme METTL4 in promoting tumor metastasis through the mediation of nuclear N6-methyldeoxyadenosine (6mA) in mammalian cells. By utilizing cellular models, the study demonstrates how hypoxia induces METTL4 to mediate 6mA modifications. This process, in turn, activates genes essential for tumor metastasis, including the involvement of specific long noncoding RNA and a novel HIF-1α co-activator, ZMIZ1. These findings not only shed light on the epigenetic mechanisms driving tumor progression but also establish METTL4 as a prognostic marker for cancer and a potential target for therapeutic intervention. The promise of this discovery lies in its potential to inspire new strategies for combating hypoxia-induced tumor progression, opening avenues for further research and development in cancer treatment.

DNA N6-methyldeoxyadenosine (6mA) has been recognized in various organisms for its role in gene regulation. However, its function in mammalian cells, particularly in the context of cancer, has remained elusive. Previous studies have shown that 6mA modifications can influence gene expression and are present in several species, indicating a potential regulatory role in tumorigenesis. This research addresses a critical gap in understanding the nuclear role of 6mA and its enzymatic mediator METTL4, in mammalian tumor cells, particularly under hypoxia (a common condition in tumor microenvironments that promotes metastasis). The study posits that METTL4-mediated 6mA deposition is a key epigenetic modification that activates metastasis-inducing genes. This finding offers a new perspective on the mechanisms of tumor progression and identifying novel targets for therapeutic intervention.

Continue reading “The Enzyme Leading the Charge Against Tumor metastasis” »

Is it possible that a cure for cancer will be available in one year’s time? A team of Israeli scientists believes so.

The path to quantum supremacy is complicated by a fairy tale challenge – how do you carry a cloud without changing its shape?

The potential solution sounds almost as fantastical as the problem. You could guide the cloud to dance as it travels, to the beat of a unique material known as a time crystal.

Krzysztof Giergiel and Krzysztof Sacha from Jagiellonian University in Poland and Peter Hannaford from Swinburne University of Technology in Australia propose a novel kind of ‘time’ circuit might be up to the task of preserving the nebulous states of qubits as they’re carried through tempests of quantum logic.

Physicists have proposed a new theory: in the first quintillionth of a second, the universe may have sprouted microscopic black holes with enormous amounts of nuclear charge.

For every kilogram of matter that we can see — from the computer on your desk to distant stars and galaxies — there are 5kgs of invisible matter that suffuse our surroundings. This “dark matter” is a mysterious entity that evades all forms of direct observation yet makes its presence felt through its invisible pull on visible objects.

Continue reading “What happened in Big Bang — new theory, new state of matter” »

The ambitious plan involves catching the falling Super Heavy boosters using the launch tower’s “chopstick” arms. This innovative approach aims to revolutionise rocket recovery and enhance the reusability of the company’s Starship system.

Recent footage shared by SpaceX showcases tests of the chopstick mechanism at their Starbase facility in Texas. The company has been observed clamping the tower arms around a portion of a Super Heavy booster to evaluate the system’s parameters.

This testing is crucial for verifying the forces the chopsticks will need to withstand during an actual catch attempt.

Humans learn differently than machines face_with_colon_three

This paper introduces ‘prospective configuration’, a new principle for learning in neural networks, which differs from backpropagation and is more efficient in learning and more consistent with data on neural activity and behavior.

But deep learning has a massive drawback: The algorithms can’t justify their answers. Often called the “black box” problem, this opacity stymies their use in high-risk situations, such as in medicine. Patients want an explanation when diagnosed with a life-changing disease. For now, deep learning-based algorithms—even if they have high diagnostic accuracy—can’t provide that information.

To open the black box, a team from the University of Texas Southwestern Medical Center tapped the human mind for inspiration. In a study in Nature Computational Science, they combined principles from the study of brain networks with a more traditional AI approach that relies on explainable building blocks.

The resulting AI acts a bit like a child. It condenses different types of information into “hubs.” Each hub is then transcribed into coding guidelines for humans to read—CliffsNotes for programmers that explain the algorithm’s conclusions about patterns it found in the data in plain English. It can also generate fully executable programming code to try out.

Automated algorithm discovery has been difficult for artificial intelligence given the immense search space of possible functions. Here explainable neural networks are used to discover algorithms that outperform those designed by humans.

Scientists at Duke-NUS Medical School have identified how the first domino falls after a person encounters an allergen, such as peanuts, shellfish, pollen or dustmites. Their discovery, published in the April issue of Nature Immunology, could herald the development of drugs to prevent these severe reactions.

It is well established that when mast cells, a type of immune cell, mistake a harmless substance, such as peanuts or dust mites, as a threat, they release an immediate first wave of bioactive chemicals against the perceived threat. When mast cells, which reside under the skin, around blood vessels and in the linings of the airways and the gastrointestinal tract, simultaneously release their pre-stored load of bioactive chemicals into the blood, instant and systemic shock can result, which can be lethal without quick intervention.

More than 10 per cent of the global population suffers from food allergies, according to the World Health Organisation (WHO). As allergy rates continue to climb, so does the incidence of food-triggered anaphylaxis and asthma worldwide. In Singapore, asthma affects one in five children while food allergies are already the leading cause of anaphylactic shock.