They designed persistent epigenetic silencing.
Changes to chemical tags on DNA in mice dial down the activity of a gene without cuts to the genome.
Researchers at the University of Alberta have uncovered what they say has been the missing puzzle piece ever since the genetic code was first cracked.
The code is the universal set of rules that allow living organisms to follow genetic instructions found in DNA and RNA to build proteins. In new research, published in BMC Biology, the U of A team describes a unifying code that guides the binding of those proteins with lipids to form membranes—the wrapper around all cells and cell components.
“Sixty years ago, scientists started to work on how genes encode proteins, but that’s not the end of the story,” says biochemistry professor Michael Overduin, executive director of the National High Field Nuclear Magnetic Resonance Center. “Along with DNA, RNA and proteins, living cells require membranes. Without the membrane, it’s like you’ve got a house with no walls.”
New research from the University of British Columbia reveals a safe path to overcoming food allergies for older children and others who can’t risk consuming allergens orally to build up their resistance.
It’s called sublingual immunotherapy (SLIT), and it involves placing smaller amounts of food allergens under the tongue.
A study conducted by UBC clinical professor and pediatric allergist Dr. Edmond Chan and his team at BC Children’s Hospital Research Institute found SLIT to be as safe and effective for high-risk older children and adolescents as oral immunotherapy is for preschoolers.
The results of research led by scientists at the University of Exeter, and at King’s College London, suggests that young people could be spared from going blind by a new genetic risk tool that could also help predict patients who will progress to multiple sclerosis (MS) earlier, and get treatment started earlier. The study has shown for the first time that combining genetic risk for MS with demographic factors significantly improves MS risk prediction in people presenting with the eye disorder, which is called optic neuritis (ON).
Tasanee Braithwaite, MD, consultant ophthalmologist to the Medical Eye Unit at Guy’s and St Thomas NHS Foundation Trust, and adjunct senior lecturer at King’s College London said, “As a doctor caring for many patients with optic neuritis, I’m excited by the possibility of translating this pilot research into front line clinical care in the near future. Whilst more research is needed, our study provides a strong signal that we could better identify patients at high risk of MS, perhaps enabling these people to have earlier MS treatment in the future. Whereas, if we could better identify people whose optic neuritis is very unlikely to result from MS, we could treat these people urgently to reduce irreversible vision loss and blindness.”
Braithwaite is senior author of the team’s published paper in Nature Communications, titled “Applying a genetic risk score model to enhance prediction of future multiple sclerosis diagnosis at first presentation with optic neuritis,” in which they concluded, “This study indicates that a combined model might enhance individual MS risk stratification, paving the way for precision-based ON treatment and earlier MS disease-modifying therapy.”
Half a century ago, scientists Jim Watson and Alexey Olovnikov independently realized that there was a problem with how our DNA gets copied. A quirk of linear DNA replication dictated that telomeres that protect the ends of chromosomes should have been growing shorter with each round of replication, a phenomenon known as the end-replication problem.
But a solution was forthcoming: Liz Blackburn and Carol Greider discovered telomerase, an enzyme that adds the telomeric repeats to the ends of chromosomes. “Case closed, everybody thought,” says Rockefeller’s Titia de Lange.
Now, research published in Nature suggests that there are two end-replication problems, not one. Further, telomerase is only part of the solution—cells also use the CST–Polα-primase complex, which has been extensively studied in de Lange’s laboratory.
Human cells contain ribosomes, a complex machine that produces proteins for the rest of the body. Now the researchers have come closer to understanding how the ribosome works.
“It is amazing that we can visualize the atomic details of the ribosome. Because they are tiny—around 20–30 nanometers,” says Associate Professor Eva Kummer from the Novo Nordisk Foundation Center for Protein Research, who is responsible for the new study published in Nature Communications.
The ribosome is a part of the human cell consisting of ribosomal RNA and ribosomal proteins. It is like a factory that builds proteins by following a set of instructions inherent in the genes.
Photoroom announced Tuesday that it has raised $43 million in Series B funding at a valuation of $500 million. London-based early-stage venture firm Balderton Capital and Aglaé Ventures, an investment firm backed by LVMH CEO Bernard Arnault and his family, led the round, with participation from Y Combinator. The new round brings the Photoroom’s total funding to $64 million. With more than 150 million app downloads and a subscription-based business model, the Paris-based startup has crossed $50 million in annual recurring revenue, according to Rouif.
Photoroom has also garnered the attention of brands like Netflix, Lionsgate and Warner Bros, who have used the startup’s API to promote films and shows including Barbie and Black Mirror. In October 2023, Photoroom partnered with Universal Music Group-owned record label, Republic Records, to create a custom selfie generator of Taylor Swift’s album 1989 that millions of fans used to create an album cover with their own faces.
Photoroom first gained traction in 2020, the same year it was accepted into Y Combinator. During the pandemic, entrepreneurs rushed to produce online catalogs of their products and without access to photographers and professional photo studios, they turned to photo editing tools like Photoroom. Before generative AI tools became mainstream, the startup’s most popular tools were a background remover tool, a tool called “magic retouch,” which removed unwanted objects from a photo as well as a feature that could blur backgrounds in two seconds. When more advanced AI tools became available in 2023, the startup expanded its offerings to include fully AI-generated backgrounds, where users could create background visuals from scratch through text prompts — now Photoroom’s most commonly used feature.