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Scientists discover unknown organelle inside our cells

The discovery of an unknown organelle inside our cells could open the door to new treatments for devastating inherited diseases.

The , a type of specialized structure, has been dubbed a “hemifusome” by its discoverers at the University of Virginia School of Medicine and the National Institutes of Health. This little organelle has a big job helping our cells sort, recycle and discard important cargo within themselves, the scientists say. The new discovery could help scientists better understand what goes wrong in genetic conditions that disrupt these essential housekeeping functions.

“This is like discovering a new recycling center inside the cell,” said researcher Seham Ebrahim, Ph.D., of UVA’s Department of Molecular Physiology and Biological Physics. “We think the hemifusome helps manage how cells package and process material, and when this goes wrong, it may contribute to diseases that affect many systems in the body.”

Compute-in-memory chip shows promise for enhanced efficiency and privacy in federated learning systems

In recent decades, computer scientists have been developing increasingly advanced machine learning techniques that can learn to predict specific patterns or effectively complete tasks by analyzing large amounts of data. Yet some studies have highlighted the vulnerabilities of some AI-based tools, demonstrating that the sensitive information they are fed could be potentially accessed by malicious third parties.

A machine learning approach that could provide greater data privacy is federated learning, which entails the collaborative training of a shared neural network by various users or parties that are not required to exchange any raw data with each other. This technique could be particularly advantageous when applied in sectors that can benefit from AI but that are known to store highly sensitive user data, such as health care and finance.

Researchers at Tsinghua University, the China Mobile Research Institute, and Hebei University recently developed a new compute-in-memory chip for federated learning, which is based on memristors, non-volatile electronic components that can both perform computations and store information, by adapting their resistance based on the electrical current that flowed through them in the past. Their proposed chip, outlined in a paper published in Nature Electronics, was found to boost both the efficiency and security of federated learning approaches.

Simple nasal swab test could cut costly virus screenings in high-risk settings

The COVID-19 pandemic yielded important advances in testing for respiratory viruses, but it also exposed important unmet needs in screening to prevent the spread of infections in high-risk settings.

While PCR () tests are the gold standard for detecting viral infections, they remain a challenge for large numbers of people in places vulnerable to outbreaks—such as health care centers and nursing homes—due to and the fact that different tests are required for each virus.

A new Yale study, however, finds that an alternate strategy—using a nasal swab to screen for an antiviral protein produced by the body as a defense against infection—can be an effective method for ruling out respiratory infections, limiting PCR testing only to those most likely to be infected, at a fraction of the cost.

Synthetic ‘killswitch’ uncovers hidden world of cellular condensates

Researchers at the Max Planck Institute for Molecular Genetics have developed a novel synthetic micropeptide termed the “killswitch” to selectively immobilize proteins within cellular condensates, unveiling crucial connections between condensate microenvironments and their biological functions.

Biomolecular condensates are specialized regions inside cells, existing without membranes, where critical biochemical reactions occur. Their importance in health and disease is well established, including roles in cancer progression and viral infection.

Methods to precisely probe and manipulate condensates in living cells remain limited. Existing strategies lack specificity, either dissolving condensates indiscriminately or requiring artificial protein overexpression, which obscures the natural behavior of native cellular proteins.

Excessive oleic acid, found in olive oil, shown to drive fat cell growth

Eating a high-fat diet containing a large amount of oleic acid—a type of fatty acid commonly found in olive oil—could drive obesity more than other types of dietary fats, according to a study published in the journal Cell Reports.

The study found that oleic acid, a monounsaturated fat associated with obesity, causes the body to make more fat cells. By boosting a signaling protein called AKT2 and reducing the activity of a regulating protein called LXR, high levels of oleic acid resulted in faster growth of the precursor cells that form new fat cells.

“We know that the types of fat that people eat have changed during the obesity epidemic. We wanted to know whether simply overeating a diet rich in fat causes obesity, or whether the composition of these fatty acids that make up the oils in the diet is important. Do specific fat molecules trigger responses in the cells?” said Michael Rudolph, Ph.D., assistant professor of biochemistry and physiology at the University of Oklahoma College of Medicine and member of OU Health Harold Hamm Diabetes Center.

Two brain cell types that determine whether smells are pleasant or unpleasant identified

You wouldn’t microwave fish around your worst enemy—the smell lingers both in kitchen and memory. It is one few of us like, let alone have positive associations with. But what makes our brains decide a smell is stinky?

A new study from UF Health researchers reveals the mechanisms behind how your brain decides you dislike—even loathe—a smell. The findings are published in the journal Molecular Psychiatry.

Or as first author and graduate research fellow Sarah Sniffen puts it: How do odors come to acquire some sort of emotional charge?