Wow! It’s one thing to know that the immune system has the power to destroy cancerous cells. But it’s quite another thing to see a cytotoxic T cell actually take out a cancer cell right before your eyes.
This amazing video was produced by Alex T. Ritter as part of Celldance 2014, an annual video series by the American Society for Cell Biology (ASCB). To make this series happen in 2014, ASCB staff contacted cell biology labs known for their sophisticated imaging tools and techniques, asking them to submit proposals for videos. In return, ASCB provided some funding, post-production support from a professional videographer, and an original soundtrack from the up-and-coming Hollywood composer Ted Masur.
The term “silent epidemic” sometimes gets overused in medicine. But, for prescription opioid drugs, the term fits disturbingly well. In 2012, more than 259 million prescriptions were written in the United States for Vicodin, OxyContin, and other opioid painkillers. That equals one bottle of pain pills for every U.S. adult. And here’s an even more distressing statistic: in 2011, overdoses of prescription painkillers, most unintentional, claimed the lives about 17,000 Americans—46 people a day .
The issue isn’t whether opioid painkillers have a role in managing chronic pain, such as that caused by cancer or severe injuries. They do. What’s been lacking is an unbiased review of the scientific literature to examine evidence on the safety of long-term prescription opioid use and the impact of such use on patients’ pain, function, and quality of life. The NIH Office of Disease Prevention (ODP) recently convened an independent panel to conduct such a review, and what it found is eye-opening. People with chronic pain have often been lumped into a single category and treated with generalized approaches, even though very little scientific evidence exists to support this practice.
There aren’t too many molecular biologists who have spent a 3-month stint in Hollywood. But Janet Iwasa is not your average molecular biologist. After earning her PhD in 2006, she took a break from the lab to take a crash course in animation techniques at the Gnomon School of Visual Effects.
While her classmates produced lots of cool footage worthy of the silver screen, Iwasa wanted to learn how to depict in colorful 3D action, some of the complex molecular processes that are so difficult to convey using static 2D illustration. Among her creations is this 2-minute, rough-draft animation showing how the human immunodeficiency virus (HIV) recognizes and infects a type of immune cell known as a T cell.
For millions of people with epilepsy, life comes with too many restrictions. If they just had a reliable way to predict when their next seizure will come, they could have a chance at leading more independent and productive lives.
That’s why it is so encouraging to hear that researchers have developed a new algorithm that can predict the onset of a seizure correctly 82 percent of the time. Until recently, the best algorithm was hardly better than flipping a coin, leading some to speculate that seizures are random neurological events that can’t be predicted at all. But the latest leap forward shows that seizures certainly can be predicted, and our research efforts are headed in the right direction to make them even more predictable. The other big news is how this new algorithm was developed: it’s the product of a crowdsourcing competition.
If you are a fan of wildlife shows, you’ve probably seen those tiny video cameras rigged to animals in the wild that provide a sneak peek into their secret domains. But not all research cams are mounted on creatures with fur, feathers, or fins. One of NIH’s 2014 Early Independence Award winners has developed a baby-friendly, head-mounted camera system (shown above) that captures the world from an infant’s perspective and explores one of our most human, but still imperfectly understood, traits: language.
Elika Bergelson Credit: Zachary T. Kern
Elika Bergelson, a young researcher at the University of Rochester in New York, wants to know exactly how and when infants acquire the ability to understand spoken words. Using innovative camera gear and other investigative tools, she hopes to refine current thinking about the natural timeline for language acquisition. Bergelson also hopes her work will pay off in a firmer theoretical foundation to help clinicians assess children with poor verbal skills or with neurodevelopmental conditions that impair information processing, such as autism spectrum disorders.