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A team of ingenious bioengineers at Arizona State University (ASU) has harnessed the power of childhood nostalgia, unveiling a creative solution to a long-standing challenge in DNA origami research.

They’ve successfully employed a LEGO robotics kit to build an affordable, highly effective gradient mixer for purifying self-assembling DNA origami nanostructures. This innovative breakthrough, detailed in a paper published one PLOS ONE, promises to revolutionize how scientists approach DNA origami synthesis.

The creation of DNA origami structures is an intricate process, requiring precise purification of nanostructures. Traditionally, this purification step involved rate-zone centrifugation, relying on a costly piece of equipment called a gradient mixer. However, the maverick minds at ASU have demonstrated that even the iconic plastic bricks of LEGO can be repurposed for scientific advancement.

Integrated Biosciences, a biotechnology company combining synthetic biology and machine learning to target aging, in collaboration with researchers at the University of California Santa Barbara, today announced a drug discovery platform that enables precise control of the integrated stress response (ISR), a biological pathway that is activated by cells in response to a wide variety of pathological and aging-associated conditions.

A new publication, “Optogenetic control of the integrated stress response reveals proportional encoding and the stress memory landscape,” authored by company founders and featured on the cover of Cell Systems describes a technique that triggers the ISR virtually using light and demonstrates how the accumulation of stress over time shifts a cell’s reaction from adaptation to apoptosis (programmed cell death).

“In a very real way, our platform puts cells into a virtual reality, making them experience stress in the absence of physical stressors,” said Maxwell Wilson, Ph.D., a co-founder of Integrated Biosciences and Assistant Professor of Molecular, Cellular, and Developmental Biology at the University of California Santa Barbara.

What happens when humans begin combining biology with technology, harnessing the power to recode life itself.

What does the future of biotechnology look like? How will humans program biology to create organ farm technology and bio-robots. And what happens when companies begin investing in advanced bio-printing, artificial wombs, and cybernetic prosthetic limbs.

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Our gut microorganisms, collectively known as the gut microbiota, affect far more than digestion. Bacteria in our intestinal tracts influence brain activity — and even the likelihood of developing mental disorders. Decades of research have shown that a bacterially imbalanced gut can disrupt many systems in the human body, contributing to obesity, malnutrition and even cancer. In a study published May 10 in Nature, Stanford Medicine researchers and collaborators used an ingestible device to capture the diversity of microorganisms, viruses, proteins and bile in the small intestine.

The proof-of-concept results provide early evidence that there are more comprehensive ways to measure microbiota in the digestive system than current sampling methods — which mostly focus on stool — and shed new light on how resident gut microbes might contribute to human physiology and disease.

“This paper demonstrates a big leap forward in microbial detection and captures the living gut microbiota in a nutshell,” said co-senior author KC Huang, PhD, a professor of bioengineering and of microbiology and immunology, co-senior author with David Relman, MD, a professor of medicine and of microbiology and immunology. “Samples from current tools don’t fully represent what’s going on inside of us. But it’s all we’ve had — until now.”

Gene editing insects could help reduce reliance on pesticides—and help protect billion-dollar industries.

For many people, when they hear China and genetic engineering in the same sentence, it is often synonymous with scandal, and gene-edited babies may spring to mind.

And, although it is true that nearly five years ago, researcher He Jiankui infamously claimed he had created the first ever gene-edited babies, before going to prison for three years, China has continued to pour a lot of money into genetic engineering research, and aims to become a global leader in the field.

“The accumulative amount of financing in the gene therapy field in China has exceeded $3.3 billion. Also, according to a Frost & Sullivan study, it is estimated that by 2025, gene therapy will reach a scale of nearly $17.89 billion in China,” said Fiona Gao, founding partner of Chinsiders.

Scientists have used CRISPR gene editing to reduce the lignin content in poplar trees by as much as 50%, offering a potentially more sustainable and efficient method of fibre production.

CRISPR-modified poplar trees (left) and wild poplar trees (right), growing in a North Carolina State University greenhouse. Credit: Chenmin Yang, NCSU

Lignin is a complex organic polymer that is integral to the structure of cell walls in many types of plants, especially in wood and bark. It acts as a type of binder in these walls, giving wood its hardness and resistance to rot. Lignin is the second most abundant natural polymer in the world, next to cellulose, and makes up between 15% and 25% of the composition of wood.

A recent paper published in Nature Aging by researchers from Integrated Biosciences, a biotechnology company combining synthetic biology and machine learning.

Machine learning is a subset of artificial intelligence (AI) that deals with the development of algorithms and statistical models that enable computers to learn from data and make predictions or decisions without being explicitly programmed to do so. Machine learning is used to identify patterns in data, classify data into different categories, or make predictions about future events. It can be categorized into three main types of learning: supervised, unsupervised and reinforcement learning.

https://www.youtube.com/watch?v=3o_wqZx94Bc

This video explores Super Intelligent AIs and the capabilities they will have. Watch this next video called Super Intelligent AI: 10 Ways It Will Change The World: https://youtu.be/cVjq53TKKUU.
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