Lifeboat Foundation

CRISPR/Cas9 is a form of genetic editing that holds a lot of promise, such as the killing of cancer cells, but also comes with some hefty warnings, such as that it may cause DNA damage. So far, scientists have been using CRISPR/Cas9 in a variety of plants and animals to edit genetic information, including attempts to practice what is called ‘active genetics’.

This last approach is an attempt to edit the genome that controls which of the two copies of a gene is passed to the next generation. But the technique is complicated and rife with obstacles so thus far been used only on insects. Not anymore!

A team of biologists has now achieved the world’s first CRISPR/Cas9-based approach to control genetic inheritance in a mammal.

Continue reading “World’s First Mammal CRISPR/Cas-9 Genetic Inheritance Control Achieved” »

Success against sickle-cell would be “the first genetic cure of a common genetic disease” and could free tens of thousands of Americans from agonizing pain.

Parts of human DNA are of viral origin: many of them were inserted into the primordial genetic material of our ancestors many millions of years ago and have been inherited by successive generations ever since. Thus, they are not thought to vary much in the genomes of modern humans. Human endogenous retroviruses (HERV) are by far the most common virus-derived sequences in our genome. New research published in Mobile DNA shows a mechanism that has introduced more inter-individual variation in HERV content between humans than previously appreciated.

Jainy Thomas & Cédric Feschotte 25 Jan 2019.

The adult brain has learned to calculate an image of its environment from sensory information. If the input signals change, however, even the adult brain is able to adapt − and, ideally, to return to its original activity patterns once the perturbation has ceased. Scientists at the Max Planck Institute of Neurobiology in Martinsried have now shown in mice that this ability is due to the properties of individual neurons. Their findings demonstrate that individual cells adjust strongly to changes in the environment but after the environment returns to its original state it is again the individual neurons which reassume their initial response properties. This could explain why despite substantial plasticity the perception in the adult brain is rather stable and why the brain does not have to continuously relearn everything.

Everything we know about our environment is based on calculations in our brain. Whereas a child’s brain first has to learn the rules that govern the environment, the adult brain knows what to expect and, for the most part, processes environmental stimuli in a stable manner. Yet even the adult brain is able to respond to changes, to form new memories and to learn. Research in recent years has shown that changes to the connections between neurons form the basis of this plasticity. But, how can the brain continually change its connections and learn new things without jeopardizing its stable representation of the environment? Neurobiologists in the Department of Tobias Bonhoeffer in Martinsried have now addressed this fundamental question and looked at the interplay between plasticity and stability.

The scientists studied the stability of the processing of sensations in the visual cortex of the mouse. It has been known for about 50 years that when one eye is temporarily closed, the region of the brain responsive to that eye increasingly becomes responsive to signals from the other eye that is still open. This insight has been important to optimize the use of eye patches in children with a squint. “Thanks to new genetically encoded indicators, it has recently become possible to observe reliably the activity of individual neurons over long periods of time,” says Tobias Rose, the lead author of the study. “With a few additional improvements, we were able to show for the first time what happens in the brain on the single-cell level when such environmental changes occur.”

Continue reading “Stable Perception in the Adult Brain” »

Buried deep within the DNA of Asian individuals is a genetic clue pointing to the existence of an unknown human ancestor. Remarkably, it wasn’t a human who reached this startling conjecture, but rather an artificially intelligent algorithm. Welcome to archaeology in the 21st century.

New research published last week in Nature Communications suggests a yet-to-be discovered hominid interbred with modern humans tens of thousands of years ago. This mystery species eventually went extinct, but an AI developed by researchers from the Institute of Evolutionary Biology (IBE) and several other European institutions found traces of its existence in the DNA of present-day people with Asian ancestry. A press release issued by the Centre for Genomic Regulation said it’s the first time deep learning has been used to explain human history, “paving the way for this technology to be applied in other questions in biology, genomics and evolution.”

How might the process be used in the future?

Due to advancements in genetic engineering, the researchers say they&s;re able to reprogram bacteria and create mutations in cell surfaces with “vast diversity.”

“By combining genetic tools (for creating mutations) with our microfluidic screening (for selection), we have the vision to mutate cells and then pick out the best candidates for electron transfer.”

Continue reading “New Technique Could Put Electricity-Producing Bacteria To Work” »

Well…

(you thought).

A study of thousands of human genomes reveals where mutations happen most often when our parents’ genes combine.

Continue reading “Genetic Mutations In Our Bodies Might Be Less Random Than We Thought, Scientists Say” »

Looking for the latest on Crispr? Here is all you need to know to keep knowing about the disruptive gene-editing technology.

The monkeys exhibited anxiety, depression, and schizophrenia-like behaviors.