Lifeboat Foundation

Constructing gene circuits that satisfy quantitative performance criteria has been a long‐standing challenge in synthetic biology. Here, we show a strategy for optimizing a complex three‐gene circuit, a novel proportional miRNA biosensor, using predictive modeling to initiate a search in the phase space of sensor genetic composition. We generate a library of sensor circuits using diverse genetic building blocks in order to access favorable parameter combinations and uncover specific genetic compositions with greatly improved dynamic range. The combination of high‐throughput screening data and the data obtained from detailed mechanistic interrogation of a small number of sensors was used to validate the model. The validated model facilitated further experimentation, including biosensor reprogramming and biosensor integration into larger networks, enabling in principle arbitrary logic with miRNA inputs using normal form circuits. The study reveals how model‐guided generation of genetic diversity followed by screening and model validation can be successfully applied to optimize performance of complex gene networks without extensive prior knowledge.

The gene drive is quickly becoming one of the most controversial technologies of our time. Its possibilities are at once spectacular and alarming: by using genetic engineering to override natural selection during reproduction, a gene drive could allow scientists to alter the genetic makeup of an entire species. This could be used to eliminate diseases and protect natural habitats —but could also go horribly wrong in the wrong hands.

Tissue engineering for muscles.

Tissue engineering in the news again this time its creating scaffolds for muscle regeneration.

Of all the potentially apocalyptic technologies scientists have come up with in recent years, the gene drive is easily one of the most terrifying. A gene drive is a tool that allows scientists to use genetic engineering to override natural selection during reproduction. In theory, scientists could use it to alter the genetic makeup of an entire species—or even wipe that species out. It’s not hard to imagine how a slip-up in the lab could lead to things going very, very wrong.

The biotech battle between China and the US has begun as we predicated when we announced the first CRISPR deployment in humans last month. The US has upped the ante and is taking a step further in the race for the biotech crown. All great news for us as the more competition the faster progress will move so let’s hope there is a fierce battle for biotech coming.

In 2015, a little girl called Layla was treated with gene-edited immune cells that eliminated all signs of the leukemia that was killing her. Layla’s treatment was a one-off, but by the end of 2017, the technique could have saved dozens of lives.

It took many years to develop the gene-editing tool that saved Layla, but thanks to a revolutionary method known as CRISPR, this can now be done in just weeks.

Continue reading “CRISPR gene editing human trials in China and US offer hope for countless lives” »

Scientists are able to use brain tests on three-year-olds to determine which children are more likely to grow up to become criminals. It sounds like Minority Report come to life: An uncomfortable idea presenting myriad ethical concerns. But, though unnerving, the research is nuanced and could potentially be put to good use.

In the study, published in Nature Human Behavior this week, researchers led by neuroscientists at Duke University showed that those with the lowest 20% brain health results aged three went on to commit more than 80% of crimes as adults. The research used data from a New Zealand longitudinal study of more than 1,000 people from birth in the early 1970s until they reached 38 years old. This distribution, of 20% of a population accounting for 80% of an effect, is strong but not unusual. In fact, it follows the “Pareto principle.” The authors write in their paper:

In Pareto’s day, the problem definition was that 20% of families owned 80% of land in Italy. The so-called Pareto principle is alive and useful today: for example, in software engineering, 20% of the code is said to contain 80% of the errors.

Continue reading “The disturbingly accurate brain science that identifies potential criminals while they’re still toddlers” »

Biologist Daisy Robinton talks about engineering aging and the possibilities new technology offers.

Harvard University biologist Daisy Robinton reveals how science is helping us understand how and why we age.

Continue reading “Can we engineer the end of ageing?” »

Check out the LEAF interview with Synthetic Biology company CellAge who plan to use their technology to create aging biomarkers for the research community to use for free as well as new approaches to removing senescent cells.

CellAge are using synthetic biology to remove senescent cells that accumulate with age and contribute to disease. We took the time to interview them about their technology, treating age-related diseases and their plans for the future.

You can also check out their campaign on Lifespan.io:

Continue reading “CellAge – Synthetic biology meets senolytics” »

What combinations of mutations help cancer cells survive? Which cells in the brain are involved in the onset of Alzheimer’s? How do immune cells conduct their convoluted decision-making processes? Researchers at the Weizmann Institute of Science have now combined two powerful research tools — CRISPR gene editing and single cell genomic profiling — in a method that may finally help us get answers to these questions and many more.

The new technology enables researchers to manipulate gene functions within single cells, and understand the results of each change in extremely high resolution. A single experiment with this method, say the scientists, may be equal to thousands of experiments conducted using previous approaches, and it may advance the field of genetic engineering for medical applications.

The gene-editing technique CRISPR is already transforming biology research around the world, and its clinical use in humans is just around the corner. CRISPR was first discovered in bacteria as a primitive acquired immune system, which cuts and pastes viral DNA into their own genomes to fight viruses. In recent years, this bacterial system has been adopted by researchers to snip out or insert nearly any gene in any organism or cell, quickly and efficiently. “But CRISPR, on its own, is a blunt research tool, since we often have trouble observing or understanding the outcome of this genomic editing,” says Prof. Ido Amit of the Weizmann Institute of Science’s Immunology Department, who led the study. “Most studies so far have looked for black-or-white types of effects,” adds Dr. Diego Jaitin, of Amit’s lab group, “but the majority of processes in the body are complex and even chaotic.”