Posts tagged neurons
Articles and news from the latest research reports.
Researchers Close In On The Most Important Question In Neuroscience With Fly Study
By scrutinizing the twists, turns, wiggles and squirms of 37,780 fruit fly larvae, neuroscientists have created an unprecedented view of how brain cells create behavior. The results, published March 27 in Science, draw direct connections between neurons and specific movements.
"Understanding how neural activity gives rise to behavior is the most important question in neuroscience," says neuroscientist Kay Tye of MIT, who was not involved in the research. The new study provides a way for scientists to start answering that question, she says. "I think this is a really important approach that ‘s going to be very influential."
Scientists led by Marta Zlatic of the Howard Hughes Medical Institute ‘s Janelia Farm Research Campus in Ashburn, Va., took advantage of an existing set of specially mutated flies. In each animal, small groups of neurons, usually between 2 and 15 cells, were engineered to respond to blue light. By activating handfuls of neurons with light and analyzing videos of the resulting behaviors, the researchers systematically explored most of the 10,000 neurons in Drosophila melanogaster larvae’s brain.
Cell-saving drugs could reduce brain damage after stroke
Long-term brain damage caused by stroke could be reduced by saving cells called pericytes that control blood flow in capillaries, suggest researchers from Oxford University, UCL and the University of Copenhagen.
Until now, many scientists believed that blood flow within the brain was solely controlled by changes in the diameter of arterioles, blood vessels that branch out from arteries into smaller capillaries.
In this new study, the UK and Danish researchers reveal that the brain’s blood supply is in fact chiefly controlled by the narrowing or widening of capillaries as pericytes tighten or loosen around them.
Their study, published this week in the journal Nature, shows not only that pericytes are the main regulator of blood flow to the brain, but also that they tighten and die around capillaries after stroke. This significantly impairs blood flow in the long term, causing lasting damage to brain cells.
The scientists showed that certain chemicals can halve pericyte death from simulated stroke in the lab, and they hope to develop these into drugs to treat stroke victims.
'This discovery offers radically new treatment approaches for stroke,' says study co-author Professor Alastair Buchan, Dean of Medicine and Head of the Medical Sciences Division at Oxford University. 'Importantly, we should now be able to identify drugs that target these cells. If we are able to prevent pericytes from dying, it should help restore blood flow in the brain to normal and prevent the ongoing slow damage we see after a stroke which causes so much neurological disability in our patients.'
Professor David Attwell of UCL, who led the study, explains: ‘At present, clinicians can remove clots blocking blood flow to the brain if stroke patients reach hospital early enough. However, the capillary constriction produced by pericytes may, by restricting the blood supply for a long time, cause further damage to nerve cells even after the clot is removed. Our latest research suggests that devising drugs to prevent capillary constriction may offer new therapies for reducing the disability caused by stroke.’
The new research also gives insight into the mechanisms underlying the use of functional magnetic resonance imaging to detect blood flow changes in the brain.
'Functional imaging allows us to see the activity of nerve cells within the human brain but until now we didn't quite know what we were looking at,' says Professor Martin Lauritzen of the University of Copenhagen. 'We have shown that pericytes initiate the increase in blood flow seen when nerve cells become active. So we now know that functional imaging signals are caused by a pericyte-mediated increase of capillary diameter. Knowing exactly what functional imaging shows will help us to better understand and interpret what we see.'
(Source: ox.ac.uk)
Sensing Gravity with Acid: Scientists Discover a Role for Protons in Neurotransmission
While probing how organisms sense gravity and acceleration, scientists at the Marine Biological Laboratory (MBL) and the University of Utah uncovered evidence that acid (proton concentration) plays a key role in communication between neurons. The surprising discovery is reported this week in Proceedings of the National Academy of Sciences.
The team, led by the late MBL senior scientist Stephen M. Highstein, discovered that sensory cells in the inner ear continuously transmit information on orientation of the head relative to gravity and low-frequency motion to the brain using protons as the key synaptic signaling molecule. (The synapse is the structure that allows one neuron to communicate with another by passing a chemical or electrical signal between them.)
“This addresses how we sense gravity and other low-frequency inertial stimuli, like acceleration of an automobile or roll of an airplane,” says co-author Richard Rabbitt, a professor at University of Utah and adjunct faculty member in the MBL’s Program in Sensory Physiology and Behavior. “These are very long-lasting signals requiring a a synapse that does not fatigue or lose sensitivity over time. Use of protons to acidify the space between cells and transmit information from one cell to another could explain how the inner ear is able to sense tonic signals, such as gravity, in a robust and energy efficient way.”
The team found that this novel mode of neurotransmission between the sensory cells (type 1 vestibular hair cells) and their target afferent neurons (calyx nerve terminals), which send signals to the brain, is continuous or nonquantal. This nonquantal transmission is unusual and, for low-frequency stimuli like gravity, is more energy efficient than traditional synapses in which chemical neurotransmitters are packaged in vesicles and released quantally.
The calyx nerve terminal has a ball-in-socket shape that envelopes the sensory hair cell and helps to capture protons exiting the cell. “The inner-ear vestibular system is the only place where this particular type of synapse is present,” Rabbitt says. “But the fact that protons are playing a key role here suggests they are likely to act as important signaling molecules in other synapses as well.”
Previously, Erik Jorgensen of University of Utah (who recently received a Lillie Research Innovation Award from the MBL and the University of Chicago) and colleagues discovered that protons act as signaling molecules between muscle cells in the worm C. elegans and play an important role in muscle contraction. The present paper is the first to demonstrate that protons also act directly as a nonquantal chemical neurotransmitter in concert with classical neurotransmission mechanisms. The discovery suggests that similar intercellular proton signaling mechanisms might be at play in the central nervous system.
First stem cell study of bipolar disorder yields promising results
Stem cell model shows nerve cells develop, behave and respond to lithium differently – opening doors to potential new treatments
What makes a person bipolar, prone to manic highs and deep, depressed lows? Why does bipolar disorder run so strongly in families, even though no single gene is to blame? And why is it so hard to find new treatments for a condition that affects 200 million people worldwide?
New stem cell research published by scientists from the University of Michigan Medical School, and fueled by the Heinz C. Prechter Bipolar Research Fund, may help scientists find answers to these questions.
The team used skin from people with bipolar disorder to derive the first-ever stem cell lines specific to the condition. In a new paper in Translational Psychiatry, they report how they transformed the stem cells into neurons, similar to those found in the brain – and compared them to cells derived from people without bipolar disorder.
The comparison revealed very specific differences in how these neurons behave and communicate with each other, and identified striking differences in how the neurons respond to lithium, the most common treatment for bipolar disorder.
It’s the first time scientists have directly measured differences in brain cell formation and function between people with bipolar disorder and those without.
The researchers are from the Medical School’s Department of Cell & Developmental Biology and Department of Psychiatry, and U-M’s Depression Center.
Stem cells as a window on bipolar disorder
The team used a type of stem cell called induced pluripotent stem cells, or iPSCs. By taking small samples of skin cells and exposing them to carefully controlled conditions, the team coaxed them to turn into stem cells that held the potential to become any type of cell. With further coaxing, the cells became neurons.
“This gives us a model that we can use to examine how cells behave as they develop into neurons. Already, we see that cells from people with bipolar disorder are different in how often they express certain genes, how they differentiate into neurons, how they communicate, and how they respond to lithium,” says Sue O’Shea, Ph.D., the experienced U-M stem cell specialist who co-led the work.
“We’re very excited about these findings. But we’re only just beginning to understand what we can do with these cells to help answer the many unanswered questions in bipolar disorder’s origins and treatment,” says Melvin McInnis, M.D., principal investigator of the Prechter Bipolar Research Fund and its programs.
“For instance, we can now envision being able to test new drug candidates in these cells, to screen possible medications proactively instead of having to discover them fortuitously.”
The research was supported by donations from the Heinz C. Prechter Bipolar Research Fund, the Steven M. Schwartzberg Memorial Fund, and the Joshua Judson Stern Foundation. The A. Alfred Taubman Medical Research Institute at the U-M Medical School also supported the work, which was reviewed and approved by the U-M Human Pluripotent Stem Cell Research Oversight committee and Institutional Review Board.
O’Shea, a professor in the Department of Cell & Developmental Biology and director of the U-M Pluripotent Stem Cell Research Lab, and McInnis, the Upjohn Woodworth Professor of Bipolar Disorder and Depression in the Department of Psychiatry, are co-senior authors of the new paper.
McInnis, who sees firsthand the impact that bipolar disorder has on patients and the frustration they and their families feel about the lack of treatment options, says the new research could take treatment of bipolar disorder into the era of personalized medicine.
Not only could stem cell research help find new treatments, it may also lead to a way to target treatment to each patient based on their specific profile – and avoid the trial-and-error approach to treatment that leaves many patients with uncontrolled symptoms.
More about the findings:
The skin samples were used to derive the 42 iPSC lines. When the team measured gene expression first in the stem cells, and then re-evaluated the cells once they had become neurons, very specific differences emerged between the cells derived from bipolar disorder patients and those without the condition.
Specifically, the bipolar neurons expressed more genes for membrane receptors and ion channels than non-bipolar cells, particularly those receptors and channels involved in the sending and receiving of calcium signals between cells.
Calcium signals are already known to be crucial to neuron development and function. So, the new findings support the idea that genetic differences expressed early during brain development may have a lot to do with the development of bipolar disorder symptoms – and other mental health conditions that arise later in life, especially in the teen and young adult years.
Meanwhile, the cells’ signaling patterns changed in different ways when the researchers introduced lithium, which many bipolar patients take to regulate their moods, but which causes side effects. In general, lithium alters the way calcium signals are sent and received – and the new cell lines will make it possible to study this effect specifically in bipolar disorder-specific cells.
Like misdirected letters and packages at the post office, the neurons made from bipolar disorder patients also differed in how they were ‘addressed’ during development for delivery to certain areas of the brain. This may have an impact on brain development, too.
The researchers also found differences in microRNA expression in bipolar cells – tiny fragments of RNA that play key roles in the “reading” of genes. This supports the emerging concept that bipolar disorder arises from a combination of genetic vulnerabilities.
The researchers are already developing stem cell lines from other trial participants with bipolar disorder, though it takes months to derive each line and obtain mature neurons that can be studied. They will share their cell lines with other researchers via the Prechter Repository at U-M. They also hope to develop a way to use the cells to screen drugs rapidly, called an assay.
Seeking a ‘parts list’ for the retina
New technique classifies retinal neurons into 15 categories, including some previously unknown types.
As we scan a scene, many types of neurons in our retinas interact to analyze different aspects of what we see and form a cohesive image. Each type is specialized to respond to a particular variety of visual input — for example, light or darkness, the edges of an object, or movement in a certain direction.
Neuroscientists believe there are 20 to 30 types of these specialized neurons, known as retinal ganglion cells, but they have yet to come up with a definitive classification system.
A new study from MIT neuroscientists has made some headway on this daunting task. Using a computer algorithm that traces the shapes of neurons and groups them based on structural similarity, the researchers sorted more than 350 mouse retinal neurons into 15 types, including six that were previously unidentified.
This technique, described in the March 24 online edition of Nature Communications, could also be deployed to help identify the huge array of neurons found in the brain’s cortex, says Uygar Sumbul, an MIT postdoc and one of the lead authors of the paper. “This delineates a program that we should be doing for the rest of the retina, and elsewhere in the brain, to robustly and precisely know the cell types,” he says.
The paper’s other lead author is former MIT postdoc Sen Song. Sebastian Seung, a former MIT professor of brain and cognitive sciences and physics who is now at Princeton University, is the paper’s senior author.
(Source: web.mit.edu)
New Technique Sheds Light on Human Neural Networks
A new technique, developed by researchers in the Quantitative Light Imaging Laboratory at the Beckman Institute, provides a method to noninvasively measure human neural networks in order to characterize how they form.
Using spatial light interference microscopy (SLIM) techniques developed by Gabriel Popescu, director of the lab, the researchers were able to show for the first time how human embryonic stem cell derived neurons within a network grow, organize spatially, and dynamically transport materials to one another.
“Because our method is label-free, we’ve imaged these type of neurons differentiating and maturing from neuron progenitor cells over 12 days without damage,” said Popescu. “I think this (technique) is pretty much the only way you can monitor for such a long time.”
Using time-lapse measurement, the researchers are able to watch the changes over time. “We’ve been looking at the neurons every 10 minutes for 24 hours to see how the spatial organization and mass transport dynamics change,” said Taewoo Kim, one of the lead authors on the paper.
The SLIM technique measures the optical path length shift distribution, or the effective length of the path that light follows through the sample. “The light going through the neuron itself will be in a sense slower than the light going through the media around the neuron,” explains Kim. Accounting for that difference allows the researchers to see cell activity—how the cells are moving, forming neural clusters, and then connecting with other cells within the cluster or with other clusters of cells.
“Individual neurons act like they are getting on Facebook,” explains Popescu. “In our movies you can see how they extend these arms, these processes, and begin forming new connections, establishing a network.” Like many users of Facebook, once some connections have been made, the neurons divert attention from looking for more connections and begin to communicate with one another—exchanging materials and information. According to the researchers, the communication process begins after about 10 hours; for the first 10 hours the studies show that the main neuronal activity is dedicated to creating mass in the form of neural extensions or neurites, which allows them to extend their reach.
“Since SLIM allows us to simultaneously measure several fundamental properties of these neural networks as they form, we were able to for the first time understand and characterize the link between changes that occur across a broad range of different spatial and temporal scales. This is impossible to do with any other existing technology,” explains Mustafa Mir, a lead author on the study.
For neurons in the brain, identity can be used to predict location
Throughout the world, there are many different types of people, and their identity can tell a lot about where they live. The type of job they work, the kind of car they drive, and the foods they eat can all be used to predict the country, the state, or maybe even the city a person lives in.
The brain is no different. There are many types of neurons, defined largely by the patterns of genes they use, and they “live” in numerous distinct brain regions. But researchers do not yet have a comprehensive understanding of these neuronal types and how they are distributed in the brain. Today, a team of scientists at Cold Spring Harbor Laboratory (CSHL) led by Professor Partha Mitra describes a new mathematical model that combines large data sets to predict where different types of cells are located within the brain, based on their molecular identity.
Scientists at the Allen Institute for Brain Science in Seattle are using microscopy to directly observe gene activity, one at a time, in razor-thin slices of mouse brain tissue. This approach yields brain maps that are collectively known as the Allen Mouse Brain Atlas. Each individual map shows where a single gene is expressed in the brain. When multiple maps are overlaid, patterns begin to emerge that show how different regions of the brain activate specific and often discrete complements of genes. These patterns are known as “co-expression” profiles.
Elsewhere, other research groups have taken a complementary approach, harvesting a single type of neuron from the brain and profiling all of the genes that are expressed by that cell. But this data lacks the spatial component of the atlas assembled by the Allen Brain Institute.
Mitra and postdoctoral fellow Pascal Grange, Ph.D., set out to integrate these two kinds of datasets. They devised a mathematical model that does just this. “Our model is simple,” says Mitra, “but it has predictive power. If the gene expression profile of a neuronal type is measured, then the model predicts where in the brain that type of neuron can be found.”
The significance of the new model, according to Grange, is that “it enables us to now have a biological understanding of the patterns, the co-expression profiles, seen in the Allen Gene Expression Atlas of the Mouse Brain.”
As scientists continue to generate larger datasets of gene activation for neurons, this model will allow them to draw an increasingly accurate map of their distribution in the brain. The eventual goal is to gain a better understanding of how signaling between different types of neurons controls memory and cognition.
Researchers Show How Lost Sleep Leads to Lost Neurons
Most people appreciate that not getting enough sleep impairs cognitive performance. For the chronically sleep-deprived such as shift workers, students, or truckers, a common strategy is simply to catch up on missed slumber on the weekends. According to common wisdom, catch up sleep repays one’s “sleep debt,” with no lasting effects. But a new Penn Medicine study shows disturbing evidence that chronic sleep loss may be more serious than previously thought and may even lead to irreversible physical damage to and loss of brain cells. The research is published today in The Journal of Neuroscience.
Using a mouse model of chronic sleep loss, Sigrid Veasey, MD, associate professor of Medicine and a member of the Center for Sleep and Circadian Neurobiology at the Perelman School of Medicine and collaborators from Peking University, have determined that extended wakefulness is linked to injury to, and loss of, neurons that are essential for alertness and optimal cognition, the locus coeruleus (LC) neurons.
"In general, we’ve always assumed full recovery of cognition following short- and long-term sleep loss," Veasey says. "But some of the research in humans has shown that attention span and several other aspects of cognition may not normalize even with three days of recovery sleep, raising the question of lasting injury in the brain. We wanted to figure out exactly whether chronic sleep loss injures neurons, whether the injury is reversible, and which neurons are involved."
Mice were examined following periods of normal rest, short wakefulness, or extended wakefulness, modeling a shift worker’s typical sleep pattern. The Veasey lab found that in response to short-term sleep loss, LC neurons upregulate the sirtuin type 3 (SirT3) protein, which is important for mitochondrial energy production and redox responses, and protect the neurons from metabolic injury. SirT3 is essential across short-term sleep loss to maintain metabolic homeostasis, but in extended wakefulness, the SirT3 response is missing. After several days of shift worker sleep patterns, LC neurons in the mice began to display reduced SirT3, increased cell death, and the mice lost 25 percent of these neurons.
"This is the first report that sleep loss can actually result in a loss of neurons," Veasey notes. Particularly intriguing is, that the findings suggest that mitochondria in LC neurons respond to sleep loss and can adapt to short-term sleep loss but not to extended wake. This raises the possibility that somehow increasing SirT3 levels in the mitochondria may help rescue neurons or protect them across chronic or extended sleep loss. The study also demonstrates the importance of sleep for restoring metabolic homeostasis in mitochondria in the LC neurons and possibly other important brain areas, to ensure their optimal functioning during waking hours.
Veasey stresses that more work needs to be done to establish whether a similar phenomenon occurs in humans and to determine what durations of wakefulness place individuals at risk of neural injury. “In light of the role for SirT3 in the adaptive response to sleep loss, the extent of neuronal injury may vary across individuals. Specifically, aging, diabetes, high-fat diet and sedentary lifestyle may all reduce SirT3. If cells in individuals, including neurons, have reduced SirT3 prior to sleep loss, these individuals may be set up for greater risk of injury to their nerve cells.”
The next step will be putting the SirT3 model to the test. “We can now overexpress SirT3 in LC neurons,” explains Veasey. “If we can show that we can protect the cells and wakefulness, then we’re launched in the direction of a promising therapeutic target for millions of shift workers.”
The team also plans to examine shift workers post-mortem for evidence of increased LC neuron loss and signs of neurodegenerative disorders such as Alzheimer’s and Parkinson’s, since some previous mouse models have shown that lesions or injury to LC neurons can accelerate the course of those diseases. While not directly causing theses diseases, “injuring LC neurons due to sleep loss could potentially facilitate or accelerate neurodegeneration in individuals who already have these disorders,” Veasey says.
While more research will be needed to settle these questions, the present study provides another confirmation of a rapidly growing scientific consensus: sleep is more important than was previously believed. In the past, Veasey observes, “No one really thought that the brain could be irreversibly injured from sleep loss.” It’s now clear that it can be.
Childhood’s end: ADHD, autism and schizophrenia tied to stronger inhibitory interactions in adolescent prefrontal cortex
Key cognitive functions such as working memory (which combines temporary storage and manipulation of information) and executive function (a set of mental processes that helps connect past experience with present action) are associated with the brain’s prefrontal cortex. Unlike other brain regions, the prefrontal cortex does not mature until early adulthood, with the most pronounced changes being seen between its peripubertal (onset of puberty) and postpubertal developmental states. Moreover, this maturation period is correlated with cognitive maturation – but the physical neuronal changes during this transition have remained for the most part unknown. Recently, however, scientists at the Wake Forest School of Medicine in Winston-Salem, NC recorded and compared prefrontal cortical activity peripubertal and adult monkeys.
The researchers found that compared with adults, peripubertal monkeys showed lower connectivity due to stronger inhibitory interactions, suggesting that intrinsic (or resting state) inhibitory connections – that is, inhibitory neural connections that are active in the absence of any particular task – decline with maturation. The scientists then concluded that prefrontal intrinsic connectivity changes are a possible substrate for cognitive maturation.
Prof. Christos Constantinidis discusses the paper that he, Dr. Xin Zhou and their co-authors published in Proceedings of the National Academy of Sciences. When comparing the functional connectivity between pairs of neurons in neuronal activity recorded from the prefrontal cortex of peripubertal and adult monkeys and evaluating the developmental stage of peripubertal rhesus monkeys with a series of morphometric, hormonal, and radiographic measures, Constantinidis tells Medical Xpress that a major challenge was to obtain neural activity from the brain of monkeys around the time of puberty. “We needed to make ourselves experts in the developmental trajectories of monkeys and conduct experiments just at the right time relative to the onset of puberty,” he explains.
These Boosts Are Made For Walkin’: Study Reveals that Movement Kicks Visual System into Higher Gear
Whether you’re a Major League outfielder chasing down a hard-hit ball or a lesser mortal navigating a busy city sidewalk, it pays to keep a close watch on your surroundings when walking or running. Now, new research by UC San Francisco neuroscientists suggests that the body may get help in these fast-changing situations from a specialized brain circuit that causes visual system neurons to fire more strongly during locomotion.
There has been a great deal of research on changes among different brain states during sleep, but the new findings, reported in the March 13 issue of Cell, provide a compelling example of a change in state in the awake brain.
It has long been known that nerve cells in the visual system fire more strongly when we pay close attention to objects than when we view scenes more passively. But the new research, led by Yu Fu, PhD, a postdoctoral fellow in the UCSF lab of senior author Michael P. Stryker, PhD, the W.F. Ganong Professor of Physiology, breaks new ground, mapping out a visual system amplifier that is directly activated by walking or running.
Though this circuit has not yet been shown to exist in humans, Stryker is designing experiments to find out if it does. He said he would be surprised if his group did not identify a similar mechanism in people, since such systems have been found in fruit flies, and the mouse visual system has so far proved to be a good model of many aspects of human vision.
“The sense of touch only tells you about objects that are close, and the auditory system is generally not as sensitive as the visual system to the exact position of objects,” he said. “It seems that it would be generally useful to have vision – the sensory modality that tells you the most about things that are far away – work better as you’re moving through the world.”
Stryker said that the neural system identified in the new work may have evolved to conserve energy, by allowing the brain to operate at less than peak efficiency in less demanding behavioral situations. “When you don’t need your visual system to be in a high-gain state, your brain may use a lot less energy in responding,” said Stryker. “A change in gain when you’re moving is ideally what you’d like to see – the neuron is doing the same thing that it’s always doing, but it’s talking louder to the rest of the brain.”
In the new research, mice were allowed to walk or run freely on a Styrofoam ball suspended on an air cushion while the scientists used a technique known as two-photon imaging to monitor the activation of cells in the primary visual area of the brain, known as V1.
The researchers found that a subset of V1 neurons, those that contain a substance called vasoactive intestinal peptide (VIP), were robustly activated in a time-locked fashion purely by locomotion, even in darkness, while other V1 neurons remained largely silent.
The mice were presented with visual stimuli both while motionless and while moving, and measurements showed that walking could increase the response of V1 neurons by more than 30 percent. Moreover, V1 responses to these stimuli increased or declined in tandem with the activity of VIP neurons, and with the starting or stopping of walking by the mice.
To firmly establish that VIP neurons were responsible for these changes, the researchers used optogenetic techniques, inserting light-sensitive proteins exclusively into VIP neurons. Using light to stimulate just this population of cells, the team found that they could emulate the effects of locomotion – when VIP cells were activated, V1 cells responded more strongly to stimuli, regardless of whether the animals were moving. Conversely, when the researchers specifically targeted and disabled VIP cells, locomotion-induced increases in the response of other V1 cells were abolished.