Lifeboat Foundation

Self-sustaining chemical reactions that could support biology radically different from life as we know it might exist on many different planets using a variety of elements beyond the carbon upon which Earth’s life is based, a new study finds.

On Earth, life is based on organic compounds. These molecules are composed of carbon and often include other elements such as hydrogen, oxygen, nitrogen, phosphorus and sulfur.

In a recent study published in Science Advances, researchers from the California Institute of Technology, led by Dr. Wei Gao, have developed a machine learning (ML)–powered 3D-printed epifluidic electronic skin for multimodal health surveillance. This wearable platform enables real-time physical and chemical monitoring of health status.

Wearable health devices have the potential to revolutionize the medical world, offering real-time tracking, personalized treatments, and early diagnosis of diseases.

However, one of the main challenges with these devices is that they don’t track data at the molecular level, and their fabrication is challenging. Dr. Gao explained why this served as a motivation for their team.

A genetically engineered marine microorganism is shown to break down polyethylene terephthalate (PET) in saltwater. This plastic, used in everything from water bottles to clothing, is a significant contributor to microplastic pollution in oceans.

“This is exciting because we need to address plastic pollution in marine environments,” says Nathan Crook, corresponding author of a paper on the work and an assistant professor of chemical and biomolecular engineering at North Carolina State University.

In a new study, self-sustaining chemical reactions were discovered which carry the potential to support alien life, which is very different from the elements present on Earth.

The biology of Earth hinges on organic compounds which comprise carbon along with elements like phosphorus, sulphur, nitrogen, oxygen and hydrogen. Scientists believe that alternative chemical frameworks can lead to the existence of alien life forms.

For long, scientists have wondered if alien life might evolve on the basis of significantly different chemistry. Researchers have speculated if silicon may work as a backbone for biology.

Researchers have created chip-based photonic resonators that operate in the ultraviolet (UV) and visible regions of the spectrum and exhibit a record low UV light loss. The new resonators lay the groundwork for increasing the size, complexity and fidelity of UV photonic integrated circuit (PIC) design, which could enable new miniature chip-based devices for applications such as spectroscopic sensing, underwater communication and quantum information processing.

“Compared to the better-established fields like telecom photonics and visible photonics, UV photonics is less explored even though UV wavelengths are needed to access certain atomic transitions in atom/ion-based quantum computing and to excite certain fluorescent molecules for biochemical sensing,” said research team member Chengxing He from Yale University. “Our work sets a good basis toward building photonic circuits that operate at UV wavelengths.”

In Optics Express, the researchers describe the alumina-based optical microresonators and how they achieved an unprecedented low loss at UV wavelengths by combining the right material with optimized design and fabrication.

The search for definitive biosignatures—unambiguous markers of past or present life—is a central goal of paleobiology and astrobiology. We used pyrolysis–gas chromatography coupled to mass spectrometry to analyze chemically disparate samples, including living cells, geologically processed fossil organic material, carbon-rich meteorites, and laboratory-synthesized organic compounds and mixtures. Data from each sample were employed as training and test subsets for machine-learning methods, which resulted in a model that can identify the biogenicity of both contemporary and ancient geologically processed samples with ~90% accuracy. These machine-learning methods do not rely on precise compound identification: Rather, the relational aspects of chromatographic and mass peaks provide the needed information, which underscores this method’s utility for detecting alien biology.

Call it the big bang for bug-sized robots.

Cornell researchers combined soft microactuators with high-energy-density chemical fuel to create an insect-scale quadrupedal robot that is powered by combustion and can outrace, outlift, outflex and outleap its electric-driven competitors.

Computer performance is measured in FLOPS, or floating-point operations per second. The first supercomputer, which was developed in 1964, could run 3,000,000 FLOPS, i.e., 3 megaFLOPS. Exa means 18 zeros, meaning 1,000,000,000,000,000,000 FLOPS. An exascale computer can perform that many operations — something that is almost impossible to imagine.

Now, there is a huge advantage to commanding that kind of computing power in today’s world. Here is what the same McKinsey report says: “Exascale computing could allow scientists to solve problems that have until now been impossible. With exascale, exponential increases in memory, storage, and compute power may drive breakthroughs in several industries: energy production, storage, transmission, materials science, heavy industry, chemical design, AI and machine learning, cancer research and treatment, earthquake risk assessment, and many more.”

Put simply, China now may have the computing power at its disposal to match, or even overtake, technology leaders like the United States in several areas that could be key to becoming the dominant economic and military power in the world. China could also pair its advances in artificial intelligence with this mind-boggling computering power and achieve technological and military dominance quite quickly.

There are many therapies that target cancer. The most well-known is chemotherapy, which is a toxic chemical that is directed at a tumor to kill the cells. This is currently the standard of care for most types of cancer. However, as science advances, less toxic and more direct therapies are discovered. The most recently discovered therapy is known as ‘immunotherapy’, which redirects the immune system to kill the tumor. There are many successful treatments with immunotherapy among different types of cancers, including melanoma and lung cancer. Unfortunately, immunotherapy is limited in many solid tumors due to the immunosuppressive tumor microenvironment (TME). The TME is a pro-tumor environment that the cancer has made by releasing specific proteins that allow it to progress. In this environment the tumor can remain undetected from the immune system and progress throughout the body. Different immune cells in the TME become polarized and alter their functions to help the tumor proliferate and grow. It is now becoming more common to pair therapies together including immunotherapy with chemotherapy. Scientists are still trying to find ways to improve treatment and completely eradicate the tumor.

In San Francisco, California, a group of scientists, led by Dr. Alex Marson, are working to modify gene expression to reprogram or change immune cells in the TME to attack cancer. There has been some success, but this immunotherapy does not help treat all patients. In addition, the screening process to determine genetic changes to determine which cells would result in the greatest treatment efficacy is a long, arduous process. A group at the Gladstone Institutes has worked with Marson at University of California San Francisco (UCSF) to develop a strategy that helps pair different genetic combinations in a faster amount of time to determine the most beneficial treatment outcomes. This screening technique is called Pooled Knockin Screening (ModPoKI). ModPoKI finds the best genetic modifications to express in immune cells that will have prolonged anti-tumor efficacy.

The study that demonstrated ModPoKI was published recently in Cell, which demonstrates our ability to now understand how to combine genetic programs. ModPoKI combines genes into long lines of DNA to generate roughly 10,000 combinations to match with a genetically engineered immune cell known as a T cells are major immune cells that primarily target foreign antigens, like cancer cells, and kill them. Once the optimal gene modification is found, it is put into the engineered immune cells that are polarized to kill cancer. After further investigation, the combinations made by ModPoKI resulted in the most polarized anti-tumor T cells.