ScienceDaily (Aug. 20, 2012) — The more that we understand the brain, the more complex it becomes. The same can be said about the genetics and neurobiology of psychiatric disorders. For “Mendelian” disorders, like Huntington disease, mutation of a single gene predictably produces a single clinical disorder, following relatively simple genetic principals. Compared to Mendelian disorders, understanding bipolar disorder has been extremely challenging. Its biology is not well understood and its genetics are complex.
In a new paper, Dr. Inti Pedroso and colleagues utilize an integrative approach to probe the biology of bipolar disorder. They combined the results of three genome-wide association studies, which examined the association of common gene variants with bipolar disorder throughout the genome, and a study of gene expression patterns in post-mortem brain tissue from people who had been diagnosed with bipolar disorder. The findings were analyzed within the context of how brain proteins relate to each other based on the Human Protein Reference Database protein-protein interaction network.
"None of our research approaches provides us with sufficient information, by itself, to understand the neurobiology of psychiatric disorders. This innovative paper wrestles with this challenge in a creative way that helps us to move forward in thinking about the neurobiology of bipolar disorder," commented Dr. John Krystal, Editor of Biological Psychiatry.
Dr. Pedroso explained, “We combined information about genetic variation from thousands of cases and controls with brain gene expression data and information from protein databases to identify networks of genes and proteins in the brain that are key in the development of bipolar disorder.”
The analysis resulted in the ability to define risk gene variants that were deemed functional, by virtue of the association with changes in gene expression levels, and to group these functional gene variants in biologically meaningful pathways.
The results implicated genes involved in several neural signaling pathways, including the Notch and Wnt signaling pathways. These pathways are key processes in neurotransmission and brain development and these findings indicate they are also likely to be involved in causing this severe disorder. The authors noted that three features stand out among these genes: i) they localized to the human postsynaptic density, which is crucial for neuronal function; ii) their mouse knockouts present altered behavioral phenotypes; and iii) some are known targets of the pharmacological treatments for bipolar disorder.
Dr. Gerome Breen, senior author on the study and Senior Lecturer at King’s College London Institute of Psychiatry, said, “Our study provides some of the first evidence to show the biochemical and developmental processes involved in causing risk for developing this life-long and costly illness. We have highlighted potential new avenues for new drug treatments and intervention.”
Source: Science Daily
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Scientists have demonstrated an automated system that uses artificial intelligence and cutting-edge image processing to rapidly examine large numbers of individual Caenorhabditis elegans, a species of nematode widely used in biological research. Beyond replacing existing manual examination steps using microfluidics and automated hardware, the system’s ability to detect subtle differences from worm-to-worm – without human intervention – can identify genetic mutations that might not have been detected otherwise.
By allowing thousands of worms to be examined autonomously in a fraction of the time required for conventional manual screening, the technique could change the way that high throughput genetic screening is carried out using C. elegans.
Hang Lu’s research team is studying genes that affect the formation and development of synapses in the worms, work that could have implications for understanding human brain development. The researchers use a model in which synapses of specific neurons are labeled by a fluorescent protein. Their research involves creating mutations in the genomes of thousands of worms and examining the resulting changes in the synapses. Mutant worms identified in this way are studied further to help understand what genes may have caused the changes in the synapses.
Filed under science neuroscience AI biology genetics brain mutations
17 August 2012
A WA study of an isolated population of Eastern European Gypsies known as “Bowlmakers” has unlocked clues about a serious developmental disease - congenital cerebellar ataxia.
Professor Luba Kalaydjieva and Dr Dimitar Azmanov, from The University of Western Australia, say the discovery of an important genetic mutation is likely to inspire other scientific work around the world.

The result of their research for the UWA-affiliated Western Australian Institute for Medical Research (WAIMR) was published online today in the prestigious American Journal of Human Genetics.
It involved working collaboratively with other Australian and European researchers to discover mutations within a gene which has never before been linked to this form of heredity ataxia in humans.
Ataxias are a large group of neurodegenerative disorders that affect the ability to maintain balance, and learn and maintain motor skills. While many genes have already been implicated in hereditary ataxias, understanding their molecular basis is far from complete. New knowledge will help the understanding of normal brain development and function, and the mechanisms of degeneration.
"Gypsies are a founder population," Professor Kalaydjieva said. "They are derived from a small number of ancestors and have remained relatively isolated from surrounding populations. The Bowlmakers - known for their wooden handicrafts such as bowls and spoons - were an ideal group to study because they are a younger sub-isolate, showing limited genetic diversity.
"We studied a novel form of ataxia in 3 families in this ethnic group. Clinical and brain-imaging investigations were done in Bulgaria, in collaboration with radiologists from Sir Charles Gairdner Hospital and Princess Margaret Hospital, and were followed-up by genetic studies at WAIMR and the Walter and Eliza Hall Institute (WEHI), Melbourne.
"Signs of ataxia were detected in early infancy when motor skills like crawling and rolling over did not develop. The affected individuals presented with global developmental delay, ataxia and intellectual deficit. MRI scans showed signs of degeneration of the cerebellum, which is part of the brain controlling motor and learning skills. Overall, the life expectancy is not decreased but the quality of life is severely affected.
"The parents of the affected individuals did not present with any clinical symptoms of the ataxia, suggesting recessive inheritance," Dr Azmanov said. "Our genetic studies showed unique changes in the gene encoding metabotropic glutamate receptor 1 (GRM1), which is important for the normal development of the cerbellar cortex. The mutations inherited by all affected individuals from their unaffected carrier parents dramatically altered the structure of the GRM1 receptor.”
Professor Kalaydjieva said the exact pathogenetic mechanisms leading to the clinical manifestations and cerebellar degeneration are yet to be explained and that this opens novel research avenues for the wider scientific community. ”It also remains to be seen if other ataxia patients around the world carry mutations in GRM1,” she said.
Source: The University of Western Australia
Filed under science neuroscience brain psychology ataxia genetics Bowlmakers
The human genome that researchers sequenced at the turn of the century doesn’t really exist as we know it.
The Human Genome project sequenced “the human genome” and is widely credited with setting in motion the most exciting era of fundamental new scientific discovery since Galileo. That’s remarkable, because in important ways “the human genome” that we have labeled as such doesn’t actually exist.

cosmin4000, istockphoto
Plato essentially asserted that things like chairs and dogs, which we observe in this physical world, and even concepts like virtues, are but imperfect representations or instances of some ideal that exists, but not in the material world. Such a Platonic ideal is “the human genome,” a sequence of about 3 billion nucleotides arrayed across a linear scale of position from the start of chromosome 1 to the end of the sex chromosomes. Whether it was obtained from one person or several has so far been shrouded in secrecy for bioethical reasons, but it makes no real difference. What we call the human genome sequence is really just a reference: it cannot account for all the variability that exists in the species, just like no single dog on earth, real or imagined, can fully incorporate all the variability in the characteristics of dogs.
Nor is the human genome we have a “’normal” genome. What would it mean to be “normal” for the nucleotide at position 1,234,547 on chromosome 11? All we know is that the donor(s) had no identified disease when bled for the cause, but sooner or later some disease will arise. Essentially all available whole genome sequences show potentially disease-producing variants, even including nonfunctional genes, in donors who were unaffected at the time.
Read more …
Filed under biology genetics genomics human genome neuroscience psychology science evolution
Paddlefish’s doubled genome may question theories on limb evolution
The American paddlefish — known for its bizarre, protruding snout and eggs harvested for caviar — duplicated its entire genome about 42 million years ago, according to a new study published in the journal Genome Biology and Evolution. This finding may add a new twist to the way scientists study how fins evolved into limbs since the paddlefish is often used as a proxy for a more representative ancestor shared by humans and fishes.
“We found that paddlefish have had their own genome duplication,” said Karen Crow, assistant professor of biology at San Francisco State University. “This creates extra genetic material that adds complexity to comparative studies. It may change the way we interpret studies on limb development.”
In order to study how human limbs develop, scientists compare the limb-building genes found in mice with fin-building genes found in fishes. Previous research on paddlefish has suggested that fishes possessed the genetic toolkit required to grow limbs long before the evolution of the four-limbed creatures (tetrapods) that developed into reptiles, birds, amphibians and mammals.
In the last decade, paddlefish have become a useful benchmark in evolutionary studies because their position on the evolutionary tree makes them a reasonably good proxy for the ancestor of the bony fishes that evolved into tetrapods such as humans. However, the fact that paddlefish underwent a genome duplication could complicate what its genes tell us about the fin-to-limb transition, says Crow.
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Scientists have cracked a molecular code that may open the way to destroying or correcting defective gene products, such as those that cause genetic disorders in humans.
The code determines the recognition of RNA molecules by a superfamily of RNA-binding proteins called pentatricopeptide repeat (PPR) proteins.
When a gene is switched on, it is copied into RNA. This RNA is then used to make proteins that are required by the organism for all of its vital functions. If a gene is defective, its RNA copy and the proteins made from this will also be defective. This forms the basis of many terrible genetic disorders in humans.
RNA-binding PPR proteins could revolutionise the way we treat disease. Their secret is their versatility - they can find and bind a specific RNA molecule, and have the capacity to correct it if it is defective, or destroy it if it is detrimental. They can also help ramp up production of proteins required for growth and development.
The new paper in PLOS Genetics describes for the first time how PPR proteins recognise their RNA targets via an easy-to-understand code. This mechanism mimics the simplicity and predictability of the pairing between DNA strands described by Watson and Crick 60 years ago, but at a protein/RNA interface.
Filed under genetic disorders science neuroscience brain psychology PPR proteins genetics
ScienceDaily (Aug. 16, 2012) — Researchers have found what they believe is the key to understanding why the human brain is larger and more complex than that of other animals.
The human brain, with its unequaled cognitive capacity, evolved rapidly and dramatically.
"We wanted to know why," says James Sikela, PhD, who headed the international research team that included researchers from the University of Colorado School of Medicine, Baylor College of Medicine and the National Institutes of Mental Health. "The size and cognitive capacity of the human brain sets us apart. But how did that happen?"
"This research indicates that what drove the evolutionary expansion of the human brain may well be a specific unit within a protein — called a protein domain — that is far more numerous in humans than other species."
The protein domain at issue is DUF1220. Humans have more than 270 copies of DUF1220 encoded in the genome, far more than other species. The closer a species is to humans, the more copies of DUF1220 show up. Chimpanzees have the next highest number, 125. Gorillas have 99, marmosets 30 and mice just one. “The one over-riding theme that we saw repeatedly was that the more copies of DUF1220 in the genome, the bigger the brain. And this held true whether we looked at different species or within the human population.”
Sikela, a professor at the CU medical school, and his team also linked DUF1220 to brain disorders. They associated lower numbers of DUF1220 with microcephaly, when the brain is too small; larger numbers of the protein domain were associated with macrocephaly, when the brain is too large.
The findings were reported today in the online edition of The American Journal of Human Genetics. The researchers drew their conclusions by comparing genome sequences from humans and other animals as well as by looking at the DNA of individuals with microcephaly and macrocephaly and of people from a non-disease population.
"The take home message was that brain size may be to a large degree a matter of protein domain dosage," Sikela says. "This discovery opens many new doors. It provides new tools to diagnose diseases related to brain size. And more broadly, it points to a new way to study the human brain and its dramatic increase in size and ability over what, in evolutionary terms, is a short amount of time."
Source: Science Daily
Filed under DUF1220 brain evolution genetics genomics neuroscience psychology science protein
TAU research says genetics can reveal your geographic ancestral origin

While your DNA is unique, it also tells the tale of your family line. It carries the genetic history of your ancestors down through the generations. Now, says a Tel Aviv University researcher, it’s also possible to use it as a map to your family’s past.
Prof. Eran Halperin of TAU’s Blavatnik School of Computer Science and Department of Molecular Microbiology and Biotechnology, along with a group of researchers from University of California, Los Angeles, are giving new meaning to the term “genetic mapping.” Using a probabilistic model of genetic traits for every coordinate on the globe, the researchers have developed a method for determining more precisely the geographical location of a person’s ancestral origins.
The new method is able to pinpoint more specific locations for an individual’s ancestors, for example placing an individual’s father in Paris and mother in Barcelona. Previous methods would “split the difference” and place this origin inaccurately at a site between those two cities, such as Lyon.
Published in the journal Nature Genetics, this method has the potential to reveal the ancestry, origins, and migration patterns of many different human and animal populations. It could also be a new model for learning about the genome.
Points of origin
There are points in the human genome called SNPs that are manifested differently in each individual, explains Prof. Halperin. These points mutated sometime in the past and the mutation was then passed to a large part of the population in a particular geographic region. The probability of a person possessing these mutations today varies depending on the geographical location of those early ancestors.
"We wanted to ask, for example, about the probability of having the genetic mutation ‘A’ in a particular position on the genome based on geographical coordinates," he says. When you look at many of these positions together in a bigger picture, it’s possible to group populations with the same mutation by point of origin.
To test their method, Prof. Halperin and his fellow researchers studied DNA samples from 1,157 people from across Europe. Using a probabilistic mathematical algorithm based on mutations in the genome, they were able to accurately determine their ancestral point or points of origin using only DNA data and the new mathematical model, unravelling genetic information to ascertain two separate points on the map for the mother and father. The researchers hope to extend this model to identify the origins of grandparents, great-grandparents, and so on.
The new method could provide information that has applications in population genetic studies — to study a disease that impacts a particular group, for example. Researchers can track changes in different genomic traits across a map, such as the tendency for southern Europeans to have a mutation in a gene that causes lactose intolerance, a mutation missing from that gene in northern Europeans.
A closer look at migration
The researchers believe that their model could have also relevance for the animal kingdom, tracking the movement of animal populations. “In principle, you could figure out where the animals have migrated from, and as a result learn about habitat changes due to historical climate change or other factors,” says Prof. Halperin.
Source: Tel Aviv University
Filed under science neuroscience genetics DNA genetic mapping
DNA: The Ultimate Hard Drive
When it comes to storing information, hard drives don’t hold a candle to DNA. Our genetic code packs billions of gigabytes into a single gram. A mere milligram of the molecule could encode the complete text of every book in the Library of Congress and have plenty of room to spare. All of this has been mostly theoretical—until now. In a new study, researchers stored an entire genetics textbook in less than a picogram of DNA—one trillionth of a gram—an advance that could revolutionize our ability to save data.
A few teams have tried to write data into the genomes of living cells. But the approach has a couple of disadvantages. First, cells die—not a good way to lose your term paper. They also replicate, introducing new mutations over time that can change the data.
To get around these problems, a team led by George Church, a synthetic biologist at Harvard Medical School in Boston, created a DNA information-archiving system that uses no cells at all. Instead, an inkjet printer embeds short fragments of chemically synthesized DNA onto the surface of a tiny glass chip. To encode a digital file, researchers divide it into tiny blocks of data and convert these data not into the 1s and 0s of typical digital storage media, but rather into DNA’s four-letter alphabet of As, Cs, Gs, and Ts. Each DNA fragment also contains a digital “barcode” that records its location in the original file. Reading the data requires a DNA sequencer and a computer to reassemble all of the fragments in order and convert them back into digital format. The computer also corrects for errors; each block of data is replicated thousands of times so that any chance glitch can be identified and fixed by comparing it to the other copies.
To demonstrate its system in action, the team used the DNA chips to encode a genetics book co-authored by Church. It worked. After converting the book into DNA and translating it back into digital form, the team’s system had a raw error rate of only two errors per million bits, amounting to a few single-letter typos. That is on par with DVDs and far better than magnetic hard drives. And because of their tiny size, DNA chips are now the storage medium with the highest known information density, the researchers report online today in Science.
Don’t replace your flash drive with genetic material just yet, however. The cost of the DNA sequencer and other instruments “currently makes this impractical for general use,” says Daniel Gibson, a synthetic biologist at the J. Craig Venter Institute in Rockville, Maryland, “but the field is moving fast and the technology will soon be cheaper, faster, and smaller.” Gibson led the team that created the first completely synthetic genome, which included a “watermark” of extra data encoded into the DNA. The researchers used a three-letter coding system that is less efficient than the Church team’s but has built-in safeguards to prevent living cells from translating the DNA into proteins. “If DNA is going to be used for this purpose, and outside a laboratory setting, then you would want to use DNA sequence that is least likely to be expressed in the environment,” he says. Church disagrees. Unless someone deliberately “subverts” his DNA data-archiving system, he sees little danger.
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