Credit: Mary P. Colasanto, University of Utah, Salt Lake City
Twice a week, I do an hour of weight training to maintain muscle strength and tone. Millions of Americans do the same, and there’s always a lot of attention paid to those upper arm muscles—the biceps and triceps. Less appreciated is another arm muscle that pumps right along during workouts: the brachialis. This muscle—located under the biceps—helps your elbow flex when you are doing all kinds of things, whether curling a 50-pound barbell or just grabbing a bag of groceries or your luggage out of the car.
Now, scientific studies of the triceps and brachialis are providing important clues about how the body’s 40 different types of limb muscles assume their distinct identities during development . In these images from the NIH-supported lab of Gabrielle Kardon at the University of Utah, Salt Lake City, you see the developing forelimb of a healthy mouse strain (top) compared to that of a mutant mouse strain with a stiff, abnormal gait (bottom).
Caption: Child watches video while researchers track his eye movements. Credit: Washington University School of Medicine, St. Louis
From the time we are born, most of us humans closely watch the world around us, paying special attention to people’s faces and expressions. Now, for the first time, an NIH-funded team has shown that the ways in which children look at faces and many other things are strongly influenced by the genes they’ve inherited from their parents.
The findings come from experiments that tracked the eye movements of toddlers watching videos of other kids or adult caregivers. The experiments showed that identical twins—who share the same genes and the same home environment—spend almost precisely the same proportion of time looking at faces, even when watching different videos. And when identical twins watched the same video, they tended to look at the same thing at almost exactly the same time! In contrast, fraternal twins—who shared the same home environment, but, on average, shared just half of their genes—had patterns of eye movement that were far less similar.
Interestingly, the researchers also found that the visual behaviors most affected in children with autism spectrum disorder (ASD)—attention to another person’s eyes and mouth—were those that also appeared to be the most heavily influenced by genetics. The discovery makes an important connection between two well-known features of ASD: a strong hereditary component and poor eye contact with other people.
Caption: Two-year-old Avalyn is among the cystic fibrosis patients who may be helped by targeted drugs. Credit: Brittany Mahoney
As NIH Director, I often hear stories of how people with serious diseases—from arthritis to Zika infection—are benefitting from the transformational power of NIH’s investments in basic science. Today, I’d like to share one such advance that I find particularly exciting: news that a combination of three molecularly targeted drugs may finally make it possible to treat the vast majority of patients with cystic fibrosis (CF), our nation’s most common genetic disease.
First, a bit of history! The first genetic mutation that causes CF was discovered by a collaborative effort between my own research lab at the University of Michigan, Ann Arbor, and colleagues at the Hospital for Sick Children in Toronto—more than 25 years ago . Years of hard work, supported by the National Institutes of Health and the Cystic Fibrosis Foundation, painstakingly worked out the normal function of the protein that is altered in CF, called the cystic fibrosis transmembrane regulator (CFTR). Very recently new technologies, such as cryo-EM, have given researchers the ability to map the exact structure of the protein involved in CF.
Among the tens of thousands of CF patients who stand to benefit from the next generation of targeted drugs is little Avalyn Mahoney of Cardiff by the Sea, CA. Just a few decades ago, a kid like Avalyn—who just turned 2 last month—probably wouldn’t have made it beyond her teens. But today the outlook is far brighter for her and so many others, thanks to recent advances that build upon NIH-supported basic research.
Credit: Seth Shipman, Harvard Medical School, Boston
There’s a reason why our cells store all of their genetic information as DNA. This remarkable molecule is unsurpassed for storing lots of data in an exceedingly small space. In fact, some have speculated that, if encoded in DNA, all of the data ever generated by humans could fit in a room about the size of a two-car garage and, if that room happens to be climate controlled, the data would remain intact for hundreds of thousands of years! 
Scientists have already explored whether synthetic DNA molecules on a chip might prove useful for archiving vast amounts of digital information. Now, an NIH-funded team of researchers is taking DNA’s information storage capabilities in another intriguing direction. They’ve devised their own code to record information not on a DNA chip, but in the DNA of living cells. Already, the team has used bacterial cells to store the data needed to outline the shape of a human hand, as well the data necessary to reproduce five frames from a famous vintage film of a horse galloping (see above).
But the researchers’ ultimate goal isn’t to make drawings or movies. They envision one day using DNA as a type of “molecular recorder” that will continuously monitor events taking place within a cell, providing potentially unprecedented looks at how cells function in both health and disease.
Caption: Neuronal circuits in the mouse retina. Cone photoreceptors (red) enable color vision; bipolar neurons (magenta) relay information further along the circuit; and a subtype of bipolar neuron (green) helps process signals sensed by other photoreceptors in dim light. Credit: Brian Liu and Melanie Samuel, Baylor College of Medicine, Houston.
When most people think of reprogramming something, they probably think of writing code for a computer or typing commands into their smartphone. Melanie Samuel thinks of brain circuits, the networks of interconnected neurons that allow different parts of the brain to work together in processing information.
Samuel, a researcher at Baylor College of Medicine, Houston, wants to learn to reprogram the connections, or synapses, of brain circuits that function less well in aging and disease and limit our memory and ability to learn. She has received a 2016 NIH Director’s New Innovator Award to decipher the molecular cues that encourage the repair of damaged synapses or enable neurons to form new connections with other neurons. Because extensive synapse loss is central to most degenerative brain diseases, Samuel’s reprogramming efforts could help point the way to preventing or correcting wiring defects before they advance to serious and potentially irreversible cognitive problems.