Creative Minds: Reverse Engineering Vision

Networks of neurons in the mouse retina

Caption: Networks of neurons in the mouse retina. Green cells form a special electrically coupled network; red cells express a distinctive fluorescent marker to distinguish them from other cells; blue cells are tagged with an antibody against an enzyme that makes nitric oxide, important in retinal signaling. Such images help to identify retinal cell types, their signaling molecules, and their patterns of connectivity.
Credit: Gregory Schwartz, Northwestern University

For Gregory Schwartz, working in total darkness has its benefits. Only in the pitch black can Schwartz isolate resting neurons from the eye’s retina and stimulate them with their natural input—light—to get them to fire electrical signals. Such signals not only provide a readout of the intrinsic properties of each neuron, but information that enables the vision researcher to deduce how it functions and forges connections with other neurons.

The retina is the light-sensitive neural tissue that lines the back of the eye. Although only about the size of a postage stamp, each of our retinas contains an estimated 130 million cells and more than 100 distinct cell types. These cells are organized into multiple information-processing layers that work together to absorb light and translate it into electrical signals that stream via the optic nerve to the appropriate visual center in the brain. Like other parts of the eye, the retina can break down, and retinal diseases, including age-related macular degeneration, retinitis pigmentosa, and diabetic retinopathy, continue to be leading causes of vision loss and blindness worldwide.

In his lab at Northwestern University’s Feinberg School of Medicine, Chicago, Schwartz performs basic research that is part of a much larger effort among vision researchers to assemble a parts list that accounts for all of the cell types needed to make a retina. Once Schwartz and others get closer to wrapping up this list, the next step will be to work out the details of the internal wiring of the retina to understand better how it generates visual signals. It’s the kind of information that holds the key for detecting retinal diseases earlier and more precisely, fixing miswired circuits that affect vision, and perhaps even one day creating an improved prosthetic retina.

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Big Data and Imaging Analysis Yields High-Res Brain Map

The HCP’s multi-modal cortical parcellation

Caption: Map of 180 areas in the left and right hemispheres of the cerebral cortex.
Credit: Matthew F. Glasser, David C. Van Essen, Washington University Medical School, Saint Louis, Missouri

Neuroscientists have been working for a long time to figure out how the human brain works, and that has led many through the years to attempt to map its various regions and create a detailed atlas of their complex geography and functions. While great progress has been made in recent years, existing brain maps have remained relatively blurry and incomplete, reflecting only limited aspects of brain structure or function and typically in just a few people.

In a study reported recently in the journal Nature, an NIH-funded team of researchers has begun to bring this map of the human brain into much sharper focus [1]. By combining multiple types of cutting-edge brain imaging data from more than 200 healthy young men and women, the researchers were able to subdivide the cerebral cortex, the brain’s outer layer, into 180 specific areas in each hemisphere. Remarkably, almost 100 of those areas had never before been described. This new high-resolution brain map will advance fundamental understanding of the human brain and will help to bring greater precision to the diagnosis and treatment of many brain disorders.

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Creative Minds: Helping More Kids Beat Anxiety Disorders

Dylan Gee

Dylan Gee

While earning her Ph.D. in clinical psychology, Dylan Gee often encountered children and adolescents battling phobias, panic attacks, and other anxiety disorders. Most overcame them with the help of psychotherapy. But not all of the kids did, and Gee spent many an hour brainstorming about how to help her tougher cases, often to find that nothing worked.

What Gee noticed was that so many of the interventions she pondered were based on studies in adults. Little was actually known about the dramatic changes that a child’s developing brain undergoes and their implications for coping under stress. Gee, an assistant professor at Yale University, New Haven, CT, decided to dedicate her research career to bridging the gap between basic neuroscience and clinical interventions to treat children and adolescents with persistent anxiety and stress-related disorders.

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Stem Cell Research: New Recipes for Regenerative Medicine

Cartilage and bone formation from stem cells

Caption: From stem cells to bone. Human bone cell progenitors, derived from stem cells, were injected under the skin of mice and formed mineralized structures containing cartilage (1-2) and bone (3).
Credit: Loh KM and Chen A et al., 2016

To help people suffering from a wide array of injuries and degenerative diseases, scientists and bioengineers have long dreamed of creating new joints and organs using human stem cells. A major hurdle on the path to achieving this dream has been finding ways to steer stem cells into differentiating into all of the various types of cells needed to build these replacement parts in a fast, efficient manner.

Now, an NIH-funded team of researchers has reported important progress on this front. The researchers have identified for the first time the precise biochemical signals needed to spur human embryonic stem cells to produce 12 key types of cells, and to do so rapidly. With these biochemical “recipes” in hand, researchers say they should be able to generate pure populations of replacement cells in a matter of days, rather than the weeks or even months it currently takes. In fact, they have already demonstrated that their high-efficiency approach can be used to produce potentially therapeutic amounts of human bone, cartilage, and heart tissue within a very short time frame.

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Snapshots of Life: Making the Brain Transparent

Brain webs

Credit: Ken Chan and Viviana Gradinaru Group, Caltech

What you are looking at above is something scientists couldn’t even dream of imaging less than a decade ago: bundles of neurons in the brainstem of an adult mouse. These bundles are randomly labeled with various colors that enable researchers to trace the course of each as it projects from the brainstem areas to other parts of the brain. Until recently, such a view would have been impossible because, like other organs, the brain is opaque and had to be sliced into thin, transparent sections of tissue to be examined under a light microscope. These sections forced a complex 3D structure to be visualized in 2D, losing critical detail about the connections.

But now, researchers have developed innovative approaches to make organs and other large volumes of tissue transparent when viewed with standard light microscopy [1]. This particular image was made using the Passive CLARITY Technique, or PACT, developed by the NIH-supported lab of Viviana Gradinaru at the California Institute of Technology (Caltech), Pasadena. Gradinaru has been working on turning tissues transparent since 2010, starting as a graduate student in the lab of CLARITY developer and bioengineering pioneer Karl Deisseroth at Stanford University. PACT is her latest refinement of the concept.

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