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AI tailors artificial DNA for future drug development

With the help of an AI, researchers at Chalmers University of Technology, Sweden, have succeeded in designing synthetic DNA that controls the cells’ protein production. The technology can contribute to the development and production of vaccines, drugs for severe diseases, as well as alternative food proteins much faster and at significantly lower costs than today.

How genes are expressed is a process that is fundamental to the functionality of cells in all living organisms. Simply put, the in DNA is transcribed to the molecule messenger RNA (mRNA), which tells the cell’s factory which to produce and in which quantities.

Researchers have put a lot of effort into trying to control gene expression because, among other things, it can contribute to the development of protein-based drugs. A recent example is the mRNA vaccine against COVID-19, which instructed the body’s cells to produce the same protein found on the surface of the coronavirus.

Protein shapes could indicate Parkinson’s disease

ETH Zurich researchers have found that a set of proteins have different shapes in the spinal fluid of healthy individuals and Parkinson’s patients. These could be used in the future as a new type of biomarker for this disease.

Many human diseases can be detected and diagnosed using biomarkers in blood or other . Parkinson’s disease is different: to date, there is no such being used in the clinicto indicate this neurodegenerative disease.

A team led by ETH Zurich Professor Paola Picotti could now help to close this gap. In a study just published in the journal Nature Structural and Molecular Biology, the researchers present 76 proteins that might serve as biomarkers for the detection of Parkinson’s disease.

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Indian Surgeon’s Groundbreaking Cancer Research Saves the Lives of 1000s of Women

When Lady Meherbai Tata died of leukaemia on 18 June 1931, her husband, Sir Dorabji Tata, Jamsetji Tata’s son and a key figure of the Tata Group endowed the Lady Tata Memorial Trust with a corpus for research into leukaemia in memory of his wife. He set out to establish high-quality facilities for cancer treatment in India.

(Images above of Dr. Indraneel Mittra and a representational photo of middle-aged women.)

Out of this humanitarian commitment emerged the now well-renowned Tata Memorial Hospital, commissioned by the Sir Dorabji Tata Trust on 28 February 1941.

New CRISPR gene-editing system can “drag-and-drop” DNA in bulk

A new technique has been added to the CRISPR gene-editing toolbox. Known as PASTE, the system uses virus enzymes to “drag-and-drop” large sections of DNA into a genome, which could help treat a range of genetic diseases.

The CRISPR system originated in bacteria, which used it as a defense mechanism against viruses that prey on them. Essentially, if a bacterium survived a viral infection, it would use CRISPR enzymes to snip out a small segment of the virus DNA, and use that to remind itself how to fight off future infections of that virus.

Over the past few decades, scientists adapted this system into a powerful tool for genetic engineering. The CRISPR system consists of an enzyme, usually one called Cas9, which cuts DNA, and a short RNA sequence that guides the system to make this cut in the right section of the genome. This can be used to snip out problematic genes, such as those that cause disease, and can substitute them with other, more beneficial genes. The problem is that this process involves breaking both strands of DNA, which can be difficult for the cell to patch back up as intended, leading to unintended alterations and higher risks of cancer in edited cells.

A Bizarre Case of Hypertension Immunity

Scientists in Berlin have been studying a strange hereditary condition that causes half the people in certain families to have shockingly short fingers and abnormally high blood pressure for decades. If untreated, affected individuals often die of a stroke at the age of 50. Researchers at the Max Delbrück Center (MDC) in Berlin discovered the origin of the condition in 2015 and were able to verify it five years later using animal models: a mutation in the phosphodiesterase 3A gene (PDE3A) causes its encoded enzyme to become overactive, altering bone growth and causing blood vessel hyperplasia, resulting in high blood pressure.

“High blood pressure almost always leads to the heart becoming weaker,” says Dr. Enno Klußmann, head of the Anchored Signaling Lab at the Max Delbrück Center and a scientist at the German Centre for Cardiovascular Research (DZHK). As it has to pump against a higher pressure, Klußmann explains, the organ tries to strengthen its left ventricle. “But ultimately, this results in the thickening of the heart muscle – known as cardiac hypertrophy – which can lead to heart failure greatly decreasing its pumping capacity.”

Scientists Have Found a Way To Manipulate Digital Data Stored in DNA

DNA can be utilized to reliably store massive amounts of digital data. However, it has hitherto proven challenging to retrieve or manipulate the specific data embedded in these molecules. Now, scientists from the CNRS and the University of Tokyo have developed the use of a novel enzyme-based technique, providing the initial clues as to how these technical obstacles may be overcome. Their research was recently published in the journal Nature.

Nature has unquestionably developed the best method for massive data storage: DNA. Based on this knowledge, DNA has been used to store digital data by translating binary (0 or 1) values into one of the four different DNA “letters” (A, T, C, or G).

But how can one search through the database of data encoded in DNA to discover a certain datum? And how is it possible to execute computations using DNA-encoded data without first transforming it into electronic form? These are the questions that research teams from the LIMMS (CNRS / University of Tokyo) and Gulliver (CNRS / ESPCI) laboratories have attempted to answer. They are experimenting with a new approach using enzymes and artificial neurons and neural networks for direct operations on DNA data.

An automated system for the assessment and grading of adolescent delinquency using a machine learning-based soft voting framework

21 oct 2022.


Adolescent (or juvenile) delinquency is defined as the habitual engagement in unlawful behavior of a minor under the age of majority. According to studies, the likelihood of acquiring a deviant personality increases significantly during adolescence. As a result, identifying deviant youth early and providing proper medical counseling makes perfect sense. Due to the scarcity of qualified clinicians, human appraisal of individual adolescent behavior is subjective and time-consuming. As a result, a machine learning-based intelligent automated system for assessing and grading delinquency levels in teenagers at an early stage must be devised.

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