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Proteins are the workhorse molecules of life. Among their many jobs, they carry oxygen, build tissue, copy DNA for the next generation, and coordinate events within and between cells. Now scientists at the University of North Carolina at Chapel Hill have developed a method to control proteins inside live cells with the flick of a switch, giving researchers an unprecedented tool for pinpointing the causes of disease using the simplest of tools: light.

Continue reading “Scientists use light to control the logic networks of a cell (w/video)” »

Philadelphia, PA, USA / Moscow, Russia — Bioquark, Inc., (http://www.bioquark.com) a life sciences company focused on the development of novel bio-products for regeneration, disease reversion, and healthy aging, announced the commercial approval of naturally derived Bioquantine food ingredients in the Eurasian Customs Union (formerly known as the Customs Union of Belarus, Kazakhstan, and Russia). Moscow based, Lakmus LLC, a diversified investment company with business interests in pharmacies, restaurants, and real estate, collaborated with Bioquark Inc. on the regulatory approvals.

“We are very excited about this successful regulatory approval,” said Ira S. Pastor, CEO, Bioquark Inc. “The commercialization of Bioquantine food ingredients, including functional foods, drinks, and dietary supplements, represents another important step in our continued evolution as a company focused on a broad range of products and services in the regenerative healthcare space.”

Throughout the 20th century, natural products formed the basis for a majority of all pharmaceuticals, biologics, and consumer healthcare products used by patients around the globe, generating trillions of dollars of wealth. However, many scientists believe we have only touched the surface with what the natural world, and its range of organisms, which from a health and wellness perspective are much further advanced than human beings, has to teach us.

Continue reading “Bioquark Inc. Announces Approval of Bioquantine Food Ingredients in Eurasian Customs Union” »

In Brief CRISPR has opened up limitless avenues for genetic modification. From disease prevention to invasive species control, Jennifer Kahn discusses the discover, application, and implications of gene drives.

Jennifer Kahn, a science journalist for the New York Times, recently did a TED Talk in which she discussed the discovery, application, and implications of a CRISPR gene drive used to make mosquitoes resistant to malaria and other diseases like chikungunya, and Zika.

Continue reading “Gene Editing Can Now Change An Entire Species Forever” »

New version of this out: https://www.geneticliteracyproject.org/2017/01/02/americas-r…-cold-war/ #transhumanism #biohacking

Unlike other epic scientific advances…the immediate effect of genetic editing technology is not dangerous. Yet, it stands to be just as divisive to humans as the 70-year proliferation of nuclear weaponry.

The playing field of geopolitics is pretty simple: If China or another country vows to increase its children’s intelligence via genetic editing, and America chooses to remain “au naturel” because they insist that’s how God made them, a conflict species-deep will quickly arise.

Continue reading “America’s refusal to embrace gene editing could start the next Cold War” »

Researchers have discovered a technique that could block the effects of a powerful gene-editing tool to protect adjacent genes against accidental alteration. The breakthrough could be the beginning of a major step forward for genetic engineering.

Scientists at the University of California (UC) in San Francisco researchers have discovered how to switch off the effects of the CRISPR gene editing system. CRISPR has been a major advance for gene editing, but there are difficulties in limiting its effects on adjacent genes. So far this has militated against its use in research, most obviously, into the human genome.

The gene-editing tool is powerful, and an antidote can help make it safer.

With cells from a patient’s own skin.

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.

Well before the family came in to the Batson Children’s Specialty Clinic in Jackson, Mississippi, they knew something was wrong. Their child was born with multiple birth defects, and didn’t look like any of its kin. A couple of tests for genetic syndromes came back negative, but Omar Abdul-Rahman, Chief of Medical Genetics at the University of Mississippi, had a strong hunch that the child had Mowat-Wilson syndrome, a rare disease associated with challenging life-long symptoms like speech impediments and seizures.

So he pulled out one of his most prized physicians’ tools: his cell phone.

Using an app called Face2Gene, Abdul-Rahman snapped a quick photo of the child’s face. Within a matter of seconds, the app generated a list of potential diagnoses — and corroborated his hunch. “Sure enough, Mowat-Wilson syndrome came up on the list,” Abdul-Rahman recalls.

Continue reading “How machine learning Is revolutionizing the diagnosis of rare diseases” »