An algorithm that can analyse hundreds of millions of genetic sequences has identified DNA-cutting genes and enzymes that are extremely rare in nature.
Human chromosomes are long polymer chains that store genetic information. The nucleus of each cell contains the entire human genome (DNA) encoded on 46 chromosomes with a total length of about 2 meters. To fit into the microscopic cell nucleus and at the same time provide constant access to genetic information, chromosomes are folded in the nucleus in a special, predetermined way. DNA folding is an urgent task at the intersection of polymer physics and systems biology.
A few years ago, as one of the mechanisms of chromosome folding, researchers put forward a hypothesis of active extrusion of loops on chromosomes by molecular motors. Although the ability of motors to extrude DNA in vitro has been demonstrated, observing loops in a living cell experimentally is a technically very difficult, almost impossible, task.
A team of scientists from Skoltech, MIT, and other leading scientific organizations in Russia and the U.S. have presented a physical model of a polymer folded into loops. The analytical solution of this model allowed scientists to reproduce the universal features of chromosome packing based on the experimental data—the image shows the peak-dip derivative curve of the contact probability.
Two Eötvös Loránd University researchers have made an exciting breakthrough in understanding how we age.
Researchers Dr. Ádám Sturm and Dr. Tibor Vellai from Eötvös Loránd University in Hungary have achieved a significant discovery in the study of aging. Their research centered on “transposable elements” (TEs) in our DNA
DNA, or deoxyribonucleic acid, is a molecule composed of two long strands of nucleotides that coil around each other to form a double helix. It is the hereditary material in humans and almost all other organisms that carries genetic instructions for development, functioning, growth, and reproduction. Nearly every cell in a person’s body has the same DNA. Most DNA is located in the cell nucleus (where it is called nuclear DNA), but a small amount of DNA can also be found in the mitochondria (where it is called mitochondrial DNA or mtDNA).
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The sleep-wake cycle is among the most well-known circadian rhythms in the body and is severely affected in Alzheimer’s disease (AD). “Eighty percent of patients with AD suffer dysregulation or disruption of circadian rhythms, and the obvious clinical manifestations are the sleep-wake reversals,” Desplats said. “These patients are very sleepy during the day, agitated during the night, more confused, and sometimes aggressive.”
The feeding-fasting cycle is one of the strongest signals you can send the body to entrain the circadian clock.-Paula Desplats, University of California, San Diego
In a recent study published in Cell Metabolism, Desplats’s team used mice that are genetically engineered to develop AD to test whether intermittent fasting improves circadian rhythm abnormalities.3 Rather than restricting calories or making dietary changes, they simply limited food access to a defined six-hour daily window. They found that time-restricted eating improved sleep, metabolism, memory, and cognition, and reduced brain amyloid deposits and neuroinflammatory gene expression. “Many of the genes that are affected in AD are rhythmically expressed in the brain, meaning that they are in direct relation with the circadian clock and are involved in functions that are fundamental to AD pathology,” Desplats said. Intermittent fasting restored the rhythmic activity of these genes, but the real surprise was the extent to which it mitigated brain amyloid deposits and improved cognition and sleep-wake behaviors. “I didn’t expect that it will have such a dramatic impact on pathology,” Desplats said.
The regulation of genetic diversity resulting from polyploidization and its impact on environmental adaptability remain unclear. Here, the authors show that
Biological materials are made of individual components, including tiny motors that convert fuel into motion. This creates patterns of movement, and the material shapes itself with coherent flows by constant consumption of energy. Such continuously driven materials are called active matter.
The mechanics of cells and tissues can be described by active matter theory, a scientific framework to understand the shape, flow, and form of living materials. The active matter theory consists of many challenging mathematical equations.
Scientists from the Max Planck Institute of Molecular Cell Biology and Genetics (MPI-CBG) in Dresden, the Center for Systems Biology Dresden (CSBD), and the TU Dresden have now developed an algorithm, implemented in an open-source supercomputer code, that can for the first time solve the equations of active matter theory in realistic scenarios.
Treating cancer is becoming increasingly complex, but also offers more and more possibilities. After all, the better a tumor’s biology and genetic features are understood, the more treatment approaches there are. To be able to offer patients personalized therapies tailored to their disease, laborious and time-consuming analysis and interpretation of various data is required. Researchers at Charité – Universitätsmedizin Berlin and Humboldt-Universität zu Berlin have now studied whether generative artificial intelligence (AI) tools such as ChatGPT can help with this step. This is one of many projects at Charité analyzing the opportunities unlocked by AI in patient care.
If the body can no longer repair certain genetic mutations itself, cells begin to grow unchecked, producing a tumor. The crucial factor in this phenomenon is an imbalance of growth-inducing and growth-inhibiting factors, which can result from changes in oncogenes – genes with the potential to cause cancer – for example. Precision oncology, a specialized field of personalized medicine, leverages this knowledge by using specific treatments such as low-molecular weight inhibitors and antibodies to target and disable hyperactive oncogenes.
In a new multidisciplinary study, researchers at Texas A&M University showed how quantum computing—a new kind of computing that can process additional types of data—can assist with genetic research and used it to discover new links between genes that scientists were previously unable to detect.
Their project used the new computing technology to map gene regulatory networks (GRNs), which provide information about how genes can cause each other to activate or deactivate.
As the team published in npj Quantum Information, quantum computing will help scientists more accurately predict relationships between genes, which could have huge implications for both animal and human medicine.
Advancements in genetic engineering, gene therapies, and anti-aging research may eventually allow for age reversal and the restoration of youthful health and longevity.
What is the key idea of the video?
—The key idea is that advancements in genetic engineering and anti-aging research may eventually allow for age reversal and the restoration of youthful health and longevity.
Continue reading “Aging is Now Optional w/ David Sinclair” »
