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Science Feature Articles</p>

It's in the Blood

English

Prof. Sara Fuchs andTal Ilani: Schizophrenia test

 

The biological basis of schizophrenia - a mental illness characterized by disturbances in emotional functioning, perception of reality, and thought processes - is still a mystery. Psychiatric and behavioral assessments have until now been the sole tools used for its diagnosis. However, a recent study by Prof. Sara Fuchs and graduate student Tal Ilani of the Weizmann Institute's Immunology Department suggests that schizophrenia could one day be diagnosed using a relatively simple blood test.


Research findings worldwide have suggested a possible connection between the illness and excessive activity of a neurotransmitter involved in communication between nerve cells in the brain. The activity of this chemical messenger, called dopamine, is dependent, among other factors, on the number of dopamine receptors on the surface of nerve cells. In fact, postmortem studies of the brains of schizophrenic patients, as well as PET scans of the brains of living patients, have indicated the existence of a disproportionately high number of these receptors. Unfortunately, however, it is impossible to assess with sufficient precision the number and location of dopamine receptors in the brains of living schizophrenics.


Fuchs and Ilani have proposed a way of skirting this problem. They suggest evaluating the presence of dopamine receptors on the surface of lymphocyte white blood cells as a potential diagnostic test for schizophrenia. To examine this possibility, the scientists compared blood samples taken from schizophrenic patients with blood samples from healthy individuals.


Since identifying dopamine receptors on the surface of white blood cells is extremely difficult, the scientists focused on an earlier stage in receptor formation. They zeroed in on the stage at which messenger RNA (mRNA) molecules cart the genetic information needed for making dopamine receptors from the cell nucleus to the ribosome - the small cellular "factory" where the receptors are manufactured.

Difference between healthy people and schizophrenics

A statistical analysis showed that the blood of schizophrenics contains, on average, 3.6 times more messenger RNA molecules encoding the production of specific dopamine receptors, called D3 (D3RmRNA) than that of healthy people. The high levels were observed in patients treated with a variety of drugs as well as in the control (medication-free) group. On the basis of these findings, published in the Proceedings of the National Academy of Sciences, U.S.A., the researchers suggest that blood tests determining the level of D3RmRNA in white blood cells may be used to diagnose schizophrenia.


The research team included Dr. Dorit Ben-Shachar of the Rambam Medical Center and the B. Rappaport Faculty of Medicine at the Technion-Israel Institute of Technology; Drs. Rael D. Strous and Moshe Kotler of the Beer Yaakov Mental Health Center; and Drs. Marina Mazor and Ala Sheinkman of the Mental Health Center in Tirat Hacarmel, Haifa.

 
 
 
Prof. Sara Fuchs and graduate student Tal Ilani
Life Sciences
English

Data Cluster Control

English

Prof. Eytan Domany and team. Algortithm for patterns in data sets

 
Having received the command, the computer starts churning out information, systematically filling in tables and charting graph after graph. This may sound like a dream research scenario, yet as most scientists would quickly point out, it's just the beginning. The true challenge is to make sense of the data.

Recent developments in genetic research are a good example. New genetic research technologies, such as DNA chips, enable scientists to evaluate simultaneously tissue samples from several patients, expressing thousands of genes. However, deciphering the vast amount of resulting information consisting of anything from 100,000 to 1,000,000 genetic "figures," requires highly sophisticated data processing tools.

Addressing this and similar challenges may soon be easier thanks to Prof. Eytan Domany of the Weizmann Institute's Physics of Complex Systems Department and doctoral students Gad Getz and Erel Levine. The team has designed a unique mathematical system for analyzing genetic data based on a computer algorithm that "clusters" information into relevant categories. The algorithm searches simultaneously for clusters of "similar" genes and patients by evaluating the gene expression of tissue samples. (A gene's "expression" refers to the production level of the proteins it encodes.)

Reported in the Proceedings of the National Academy of Sciences (PNAS), the algorithm's most powerful feature is that it mimics unassisted learning. Unlike most automated "sorting" processes, in which a computer must be informed of the relevant categories in advance, the algorithm is analogous to human intuition (such as the ability to intuitively categorize images of animals and cars into proper classes). When given a clustering task, it analyzes the data, computes the degree of similarity among components, and determines its own clustering criteria.

The new method makes use of a previous application formulated by Domany and his colleagues, based on a well-known physical phenomenon. When a granular magnet such as a magnetic tape is warm, its grains are highly disorganized. But upon cooling down, the magnet's grains progressively organize themselves into well-ordered clusters. Using the statistical mechanics of granular magnets, Domany created an algorithm that can look for clusters in any data.

When applied in a cancer study using DNA chips, the new algorithm proved highly effective, evaluating roughly 140,000 figures representing the cellular expression of 2,000 genes from 70 subjects. The algorithm categorized tissue samples into separate clusters according to their gene expression profiles. For example, one cluster consisted of cancerous tissues, while another contained samples from healthy subjects. The new method also distinguished among different forms of cancer and demonstrated treatment effects, picking up differences in the gene expression of leukemia patients that had received treatment versus those that had not. Finally, one of the algorithm's most promising features is that it enabled researchers to pinpoint a small group of genes from within the 2,000 examined that can be used to accurately distinguish among cellular cancerous processes.

In a sense, however, applying the new algorithm to DNA chips is only a start. The new algorithm's inherent clustering capacity makes it invaluable for use in data-heavy scientific and industrial applications. It may be used to analyze financial information and MRI data in brain research, or to perform "data mining," the process by which specific details are culled from the world's huge and ever-growing data banks, such as those generated by the international Human Genome Project.

The Institute's technology transfer arm, Yeda Research and Development, has issued a patent application for the algorithm.
 

Clustering algorithm reveals gene expression patterns

 
 
 
Left to right: Shirley Barda, Prof. Eytan Domany, Gad Getz, Erel Levine
Math & Computer Science
English

Chipping Away at the Gene Code

English
Expression of thousands of genes on a single chip
 
 
Newly arrived at the Weizmann Institute of Science: DNA chips -- built of the stuff that genes (and research dreams) are made of. Offering greatly improved means for probing the molecular roots of disease and examining fundamental questions in the life sciences, DNA chips are a key addition to the research "toolbox" of Israeli scientists.

The recently inaugurated DNA Chips Unit will serve as a nationwide resource for Israeli scientists and physicians. The unit is operated by the Institute's Crown Human Genome Center, headed by Prof. Doron Lancet, and the Department of Biological Services, headed by Prof. Menachem Rubinstein.

Pioneered by a California-based company called Affymetrix, DNA chips represent a striking interplay between computer science and biology. They look like the integrated circuits found inside a personal computer, but instead of containing tiny semiconductors, the thumbnail-sized glass chips are imprinted with thousands of bits of DNA. These fragments serve as probes, indicating the presence and activity of specific genes within the tissue sample, while operating at a fraction of the time and cost previously required.

"In contrast to former, single-gene evaluations achieved through a lengthy experimental procedure, DNA chips can monitor the expression (meaning the protein production) of thousands of genes at a time," explains Dr. Shirley Horn-Saban, who heads the DNA Chips Unit. They also offer a greatly enhanced method for detecting genetic mutations linked to disease onset, such as the p53 gene, mutated in nearly half of all cancer patients. "The powerful diagnostic capabilities offered by DNA chips will strongly influence medical practice, shifting the emphasis from detection and treatment to disease prevention," says Horn-Saban. Improved treatments may follow, since the technology makes it possible to comprehensively monitor the cell's response to treatment. Indeed, the expanded "perspective" offered by DNA chips should prove vital to changing the focus of genetic research from single gene functions to probing entire cells or tissues, adds Horn-Saban.

The Weizmann Unit is currently working in close collaboration with the Pediatric Oncology and Hematology Department at the Sheba Medical Center to improve the diagnosis and treatment of cancers prevalent in children, including neuroblastoma and leukemia. Additionally, the unit has put the chips to work on a variety of projects aimed at better understanding the genes involved in embryology and in cancer and other genetic disorders, such as Down syndrome. The Institute has recently purchased a complementary technology, called DNA spotting, which enables scientists to create custom-made DNA chips tailored to their specific research needs.


Bioinformatics Highways

Using DNA chips to obtain information about biological systems is only the first step. "The information delivered by the chips is so complex that effective interpretation requires elaborate data analysis and organization," explains Horn-Saban. Researchers at the Institute hope to address this challenge through computer and web-based technologies. They are working to link DNA results to GeneCards, an on-line database and software tool developed at the Institute that provides fast and convenient access to updated genetic information. Once a gene is identified from the DNA chip printout, the novel bioinformatics interface will provide a direct link to relevant information, including the proteins it encodes, cellular functions, diseases caused by its mutations, and other web sites. Another project, led by Dr. Naama Barkai of the Institute's Molecular Genetics Department, is aimed at using mathematics to interpret the function of highly complex gene expression patterns.


So -- the cast and backdrop are set: gene fragments in the thousands, mathematical tools, and bioinformatics highways revolving around a thumbnail-sized platform. These new technologies should dramatically fast-forward the unraveling of how genes influence the way we walk, talk, think, and succumb to disease.
 

Dr. Shirley Horn-Saban. Heading the Gene Chip Unit

 
 
 
Dr. Shirley Horn-Saban
Life Sciences
English

Is Motion an Illusion?

English

Prof. Gershon Kurizki. No stopping change

For over 2,500 years, scientists and philosophers have been grappling with Zeno of Elea's famous paradox. More recently, scientists believed that the counterpart of this paradox, known as the quantum Zeno paradox, is realizable in the microscopic world governed by quantum physics. Now scientists from the Weizmann Institute have shown that in most cases, the quantum Zeno paradox should not occur. An article describing the calculations that led to this surprising conclusion appeared in Nature and was surveyed in the journal's "News and Views" section.


The Greek philosopher Zeno, who lived in the 5th Century B.C., decades before Socrates, dedicated his life's work to showing the logical paradoxes inherent in the idea of the indefinite divisibility of space and time (i.e., that every line is composed of an infinite number of points). One of these paradoxes is known as the arrow paradox: if the motion of a flying arrow is divided ad infinitum, then during each of these infinitesimal moments, the arrow is at rest. The sum of an infinity of zeros remains zero, and therefore the arrow cannot move. One can imagine how someone giving a flying arrow repeated quick glimpses, can actually freeze it in place. Zeno inferred from this that movement cannot happen. Indeed, he was a true follower of Parmenides, his teacher and mentor, who advocated that any change in nature is but an illusion.

This philosophical view was rejected by Aristotle, as well as by scientists and philosophers of the 19th century, who resolved Zeno's paradox by showing that non-zero velocity can exist in the limit of infinitesimal divisions of a trajectory. The paradox was bolstered in the 1960s, however, by the physicist Leonid A. Khalfin, working in the former USSR, and by physicists E.C.G. Sudarshan and Baidyanath Misra, working in the U.S. during the 1970s. Using quantum theory, they concluded that if an "observer" makes repeated observations of a microscopic object undergoing changes in time, it is highly probable that the object will indeed stop changing. The frequent observations divide the trajectory along which the object evolves into infinitesimal segments in which there is no change. In other words, in the quantum world an observer can freeze the evolution of an object, in accordance with Zeno's paradox.

Skeptics who doubted those calculations must have been genuinely surprised when, in 1990, Colorado University physicist John Wineland proved that "freezing glimpses" do work in the real world (or at least in a "simple" world with only two energy levels). Ever since, physicists have been struggling to understand the implications of the experiment. Can the Zeno paradox, for example, "glimpse-freeze" radioactive nuclear decay, thus stopping radiation? The prevailing answer during the past thirty years has been that such a freeze should be possible, provided the successive observations are made frequently enough.

Prof. Gershon Kurizki and Dr. Abraham Kofman of the Chemical Physics Department have shown that, for better or worse, such "freezing" does not take place in reality, and decay cannot actually be stopped by "bombarding" the system with glimpses. According to their calculations, the ability to "freeze" changes with quick glimpses depends on the ratio of the decay's memory to the time interval between successive observations. Every process of decay has a memory time. In the case of radioactive decay, for instance, this is the period in which the radiation has not yet escaped from the atom, allowing the system to "remember" its state prior to the decay. The memory time in the radiative decay process of an excited atom (an atom occupying an unstable energy level) is less than a billionth of a billionth of a second. To "freeze" this decay, the observations would have to be at intervals of much less than a billionth of a billionth of a second.

However, a sequence of observations so close in time would cause the appearance of new particles, changing the system completely and destroying it; the question of stopping the decay would thus become meaningless. On the other hand, if the time interval between observations is longer than the decay's memory time, the rate of decay and radiation is actually increased. Not only does Zeno's paradox not take effect in such a case but there is actually an opposite effect: the "anti-Zeno effect."

Kurizki: "In other words, if we make an analogy between an object undergoing changes in time -- for example, a decaying nucleus or an excited atom -- and Zeno's moving arrow, the arrow will increase its speed as the rate of the 'glimpses' increases. The surprising conclusion of this research is that the anti-Zeno effect (i.e., the increase of decay through frequent observations) can occur in all processes of decay, while the original Zeno effect, which would slow down and even stop decay, requires conditions that only rarely exist in such processes."
 
Prof. Gershon Kurizki
Space & Physics
English

Unfolding the Secret of Protein Folding

English

Prof. Amnon Horovitz and Dr. Gilad Haran. Molecular mentors

 

Having completed a working draft of the human genome, widely hailed as one of the most significant intellectual achievements of all time, one might think that those involved would head home for a well-earned vacation.


Far from it. They've rolled up their sleeves and are moving on with added speed. We now know how genes perform the cell's work, instructing it to string together different amino acids to create, say, a protein triggering blood clotting following injury, or a stomach enzyme to aid in food digestion. The next challenge is to better understand these gene products.


Proteins serve as the body's primary component and the basis of all enzymatic reactions, so the slightest change in their structure or function can lead to disease, even death. Being there -- in the right place, at the right time, and in the proper amount, is what the protein story is all about.


It's also about folding. The primary property influencing a protein's function is its 3-D structure. Consisting of one long chain, or several, the protein molecule is generally coiled or folded. Any damage to this structure can impair a protein's biological properties -- which is why, for instance, heat-wave temperatures of over 50o C can be life threatening.


But proteins are "born" unfolded. When first produced by the ribosomal factory (which implements genetically encoded instructions arriving from the cell nucleus), proteins emerge as straight, unfurled strings. They must fold into their correct form to become functional. How does the "young" protein know how to do this? Do "folding instructions" arrive with the genetic package, or do these tabula rasa proteins receive some help from nearby friends?


Back in the 1980s Drs. John Ellis and Costa Georgopoulos (then at the University of Warwick and the University of Utah, respectively) discovered that proteins, in fact, have molecular mentors. Dubbed "protein chaperones," they walk the newborn protein through its first folding steps and provide a safe environment in which to do so. Understanding these chaperones, themselves proteins, is the main interest of Prof. Amnon Horovitz of the Weizmann Institute's Structural Biology Department. Horovitz studies the GroEL protein found in E. coli bacteria -- a molecule containing two back-to-back rings, with a cavity at each end. Folding takes place within these cavities with the help of an additional protein called GroES, which serves as a "lid," covering the cavities' exits to prevent the newborn proteins from falling out while folding.


It turns out that the chaperone molecule has two basic states. Initially, newborn proteins can easily enter the chaperone and attach themselves to its cavity walls. At this point, the chaperone molecule undergoes a dramatic structural transformation. Its cavity walls reject the newborn proteins, heaving them into the center where they can fold safely.


Horovitz: "In the past, people believed that proteins folded into their characteristic structure to attain the lowest possible energy level, just as a ball placed on a mountaintop rolls to the bottom. In other words, existing in the folded as opposed to the unfolded state requires far less energy. But what if there is a series of mountains with valleys in between? The ball might reach a relatively high valley, where it will stay put unless 'freed' by an earthquake. From a protein's perspective, this 'earthquake' can be any of a number of environmental changes, such as temperature changes or the presence of a solvent. Both can cause protein misfolding, resulting in disease." For instance, Creutzfeldt-Jakob disease, popularly known as mad cow disease, is caused by misfolded proteins that are otherwise normal.


To discover how chaperones prevent protein misfolding, Prof. Horovitz is collaborating with Dr. Gilad Haran of the Chemical Physics Department. In standard experiments, billions of molecules are examined simultaneously; but Haran examines them one by one. This means that experimental results are not merely an average of different molecules, which might differ in their conformation or environment, but a representation of the full molecular variety of the process under examination.


To study the chaperone, Haran tags it with a fluorescent molecule that emits light when activated by a laser. When the chaperone protein shifts from one state to the other, it affects the fluorescent molecule's properties. In turn, a microscope equipped with sensitive light detectors picks up these changes, enabling the scientists to track the chaperone's transition cycles and obtain a better understanding of the folding processes it hosts.


But Horovitz and Haran want an even closer look. To obtain this, they plan to fasten two fluorescent molecules onto different sites of an unfolded protein. Since the wavelengths emitted by these molecules and the relative intensity of their emission are dependent on their distance from each other, the researchers believe that this approach may offer an intimate glimpse into the chaperone during protein folding.


Achieving a better understanding of how proteins fold is the next greatest challenge in what promises to be biology's century. The Human Genome Project was only the beginning -- there's still a great deal of unfurling ahead.

Ilustration of proteins: it's All about folding

Prof. Amnon Horovitz and Dr. Gilad Haran (left to right).
Chemistry
English

It's a Perfect Protein Match

English
Dr. Gideon Schreiber. Improving affinity
 
 

 

Searching for a soul mate, new friends, or just fresh contacts? Turns out that proteins have similar "goals." However, shaking off their single status generally doesn't come easy.

Biochemist turned protein matchmaker Dr. Gideon Schreiber took their fate to heart. Working with doctoral student Tziki Seltzer and other colleagues at the Weizmann Institute's Biological Chemistry Department, they developed a computer algorithm that calculates the rate at which two proteins associate, using it to fashion proteins with increased affinity -- of a hundred times or more. Their achievement, appearing in Nature Structural Biology, holds much promise for the pharmaceutical and food industries, since protein complexes are fundamental to many life processes.

Protein affinity is defined by the rate at which two proteins associate with each other to form a complex, divided by the rate at which this complex dissociates. To improve affinity one can either intervene to reduce protein "break-up" statistics or, alternatively, increase protein association rates. Dr. Schreiber chose the latter.

Since association rates are influenced by the protein's (genetically determined) design, the scientists used this relationship as their guiding principle, developing an algorithm capable of determining the genetic changes necessary to boost association rates.

As it turns out, the "decision" whether to connect or not to connect is up to amino acids -- the protein's building blocks. "A protein's shape, properties, and biological role are determined by the nature and sequence of its amino acid ingredients," explains Schreiber. "For instance, the protein association rate is determined only by electrically charged amino acids (only four out of the twenty commonly occurring amino acids)." This is why the new algorithm operates by determining how to genetically change the charge of specific amino acids within a protein, so as to enhance its bonding capacity.

 

Candles, Flowers, and a Good Bottle of Wine

But it goes one step further. A unique feature of the algorithm is that the changes it calls for do not need to affect the protein binding region itself (which would risk affecting the protein's properties). Rather, the algorithm essentially suggests ways to create the perfect ambience to cement the match.


"When put into solution, proteins generally float around aimlessly, binding from time to time. Our evidence suggests that when proteins pass one another quite close to the conformation in which they could bind, the criterion that actually guides and directs the formation of the protein complex is the electrical charge surrounding the binding region, called an attraction field. In nature, this feature is particularly prevalent in proteins that need to perform very quickly, such as anti-clotting proteins or ribonuclease inhibitors. What the new algorithm does is suggest the genetic changes needed to improve the attraction field of diverse proteins, thus optimizing their binding conformation," says Schreiber.

Computer simulations are far more efficient in pinpointing potentially successful complexes than the conventional approach, which is based on creating a large pool of mutations and discovering the optimal complex through trial and error. Using the algorithm, the Weizmann Institute researchers increased the formation rate of a specific complex (B-lactamase protein and its inhibitor) by a factor of 250 and significantly enhanced its binding strength.

The new protein match-up system may lead to diverse medicinal applications based on increasing or inhibiting protein activity, as well as to new diagnostic procedures, including antibody detection.
 
Ilustration: Protein looking for a match

 

 

 

 
 
Dr. Gideon Schreiber.
Life Sciences
English

Genome Races

English
Cartoonist Michel Kishka drew Prof. Yoram Groner and his mice
 
 
 
 
 
 

Time was when highly trained and motivated teams, often urged on by patriotic fervor, would set out to explore vast geographical unknowns. Mount Everest, the Poles, and the moon were checked off one by one. The human genome project, say many, is this legacy's high-tech equivalent -- biology's moon landing.


Fittingly perhaps, while the scenery and dimensions have changed, the rush to uncover the genetic blueprint of humanity was shaped by competition. Despite the extraordinary cooperation marking the decade of work by thousands of researchers across the globe, efforts were also fueled by rivalry, with the privately owned Celera Genomics pitted against the international, publicly funded Human Genome Project, as well as the latter's individual chromosome sequencing teams, all racing to become number one.


Nobody could catch 22. It ran ahead of the pack marking the first human chromosome to be sequenced, with 21 hot on its heels. Then, on June 26, the match ended in a draw, as researchers at the public consortium and Celera jointly announced that they had completed a rough draft of the entire human genome.


With its 3.1 billion base pairs neatly laid out in cookbook fashion, what can we, its bearers, come to expect? New therapies or diagnostic tests warning of a predisposition to disease coupled with preventive measures? Enhanced prevention of genetic disorders such as Down syndrome, which currently affects up to one in 700 newborns?


With time, these scenarios will most likely mature to varying degrees. However, as scientists are quick to point out, it will probably be decades before the full benefits are realized. The players have been introduced, but now, in order to follow and direct the plot, we have to understand how a gene interacts with its fellow genes to form and maintain the human body, what goes wrong in disease, and what role environmental factors play * in other words, the actual gene dance.


Here's an in-depth look at one of the contributions made by Weizmann Institute scientists to the international Human Genome Project.


21 Down & Counting

Chromosome 21 is now fully sequenced. Having crossed the finish line following a genetic research trek spanning four continents and more than 20 years, the international consortium charged with decoding 21's wares has surprising news: in contrast to previous estimates, the human genome may contain only 40,000 genes. That's only roughly twice the amount found in Drosophila melanogaster -- the common fruit fly.


Though checking in as the smallest of all human chromosomes, 21 has more than delivered. Recently appearing in Nature, its decoded sequence suggests that we may have to revise our basic understanding of ourselves -- specifically, the unique design principles underlying the human genome that set us apart from other organisms despite considerable genetic overlap.


Likewise, while the chromosome was found to contain only 225 genes -- just one-fourth the estimate based on its size -- these genes are among the most intriguing to researchers. They hold the key to further understanding Down syndrome and the other leading genetic disorders that are often part of its package. Besides mental retardation, Down syndrome patients are much more prone to develop acute myeloid leukemia and diabetes, frequently exhibit congenital heart disease and immune deficiencies, and are often diagnosed with Alzheimer's disease by the time they are 35. And the chromosome's unraveling began right here, in Rehovot's Weizmann Institute of Science, over 20 years ago.


"The most common culprits behind genetic diseases are mutated genes unable to perform their protein production jobs. Yet in Down syndrome, the genes are perfectly normal; they are simply overexpressed," says Prof. Yoram Groner of the Institute's Molecular Genetics Department. According to Groner, scientists had known since 1959 that Down syndrome is primarily caused by the inheritance of three rather than two copies of chromosome 21. However, little had been done to probe the molecular origins of the disease. Which is why, equipped with the rudimentary gene isolation and cloning techniques available in the early 1980s, Groner and his departmental team set out to examine how an extra copy of otherwise normal genes can produce the patchwork of abnormalities manifest in Down syndrome.


Candidate Genes Raise Eyebrows

The SOD1 gene, encoding an enzyme that protects the cell from naturally occurring toxic oxygen radicals, turned out to be a central player. Groner's team zeroed in on SOD1, becoming the first to clone a chromosome 21 gene. When this human gene was introduced into a colony of mouse cells, it triggered a leading symptom of Alzheimer's disease, significantly reducing the cells' ability to bind neurotransmitters -- the chemical messages vital to neural communication. Later, transgenic mice containing the SOD1 gene exhibited muscle weakness caused by deterioration of the neuromuscular junction, another symptom common to Down syndrome patients. "The muscle defect was particularly intriguing because many Down syndrome patients have abnormally large tongues, and the tongue is largely a muscle," says Groner.
 

 

Examining tongue muscle from patients who underwent cosmetic surgery, Groner's team, working with Dr. Rena Yarom of Jerusalem's Hadassah Hospital, found that the defect in mice and in Down syndrome patients was identical. These findings led Groner to suggest that Down syndrome and its common tag-along diseases might actually be caused by select "candidate genes." When overexpressed, these genes send the cells' machinery off track, causing an overproduction of proteins that subsequently impairs organ development and function. "The candidate gene concept raised quite a few eyebrows at the time, since the idea that specific genes could have such far-reaching effects presented a considerable psychological barrier," says Groner.


Genes and Humans Play Ball

Teamwork, on both a gene-to-gene and human-to-human level, also entered the equation. Groner's team showed that imbalanced SOD1 levels expose the cell to oxidative stress, which enhances its vulnerability to other chromosome 21 genes, when these are overexpressed. Take APP for instance. This gene encodes a protein shown to drown neuronal cells in plaque, causing the neuronal degeneration found in Alzheimer's. Then, in chain reaction style, another gene, called BACE-2, enhances APP breakdown, further increasing the neuronal damage.


According to Groner, the gene teamwork was mirrored by strong cooperation between members of the Chromosome 21 Consortium. BACE-2, for example, was discovered by the Spanish team. However, here too, as in the genome project, human nature intervened. "The consortium operated by dividing the chromosomal sequencing among different teams, much like sections on a road map," says Groner. As when building a tunnel, the teams had to plan their route and course of action with great care to ensure that they would meet up." The different culture and mentality of the Japanese and German teams, who were allocated neighboring genome sections, apparently caused some planning difficulties. "Unfortunately, this meant bad news for us," he adds, smiling, "since we were involved in sequencing a gene that sits right in the middle of this junction, which is believed to cause leukemia."


Old Genes Learn New Tricks

One of the most striking findings is that chromosome 21 contains only 225 genes, far less than expected. This led the consortium to suggest that the entire human genome may contain only 40,000 genes -- roughly double the amount of a fly or an earthworm. Potentially chair-squirming numbers -- after all, although we can't fly, we're still somewhat more complex.


A possible explanation is that nature employs an ingenious recycling strategy. "Why invent new genes, when the old ones have a proven track record?" Groner points out. "Mounting evidence suggests that instead of requiring a linear increase in gene numbers along the evolutionary path, nature primarily invents new functions for old players, rearranging their combined cross-talk to increase organism complexity."

Down syndrome genome has an extra chromosome

Prof. Yoram Groner in his lab, as seen by cartoonist Michel Kishka
Life Sciences
English

Down to the Origins

English
A model for life's start
 
 

 

One of the greatest mysteries, and one that continues to fascinate scientists worldwide, concerns how life emerged on primeval earth. The accepted notion is that before the appearance of living organisms there was a stage of chemical evolution that involved selection within inanimate chemical mixtures. This stage is thought to have led eventually to the crucial moment when self-replicating molecules arose. As self-replication is a fundamental characteristic of living entities, such an event is often defined as the birth of life.

The self-replication of molecular systems is often viewed in the context of information content. Many scientists believe that life began with the spontaneous emergence of biopolymers, such as proteins or RNA, which store information in a sequence of chemical units. Experiments simulating the conditions on earth billions of years ago have shown how such chemical units -- some of the building blocks of proteins and RNA -- could appear spontaneously. Yet the emergence of proteins or self-replicating RNA molecules remained a mystery.

This puzzle started Prof. Doron Lancet of the Crown Human Genome Center in the Weizmann Institute and his students Daniel Segre and Dafna Ben-Eli on a journey in search of alternatives to proteins and RNA. They developed a model, suggesting a new route for the origin of life that is based on lipid molecules. This model is described in an article published in Proceedings of the National Academy of Sciences (PNAS).

Lipids are oily substances, and the chief ingredients of cell membranes. Readily synthesized under simulated prebiological conditions, they have two different aspects -- hydrophilic (water-attracting) and hydrophobic (water-repelling). Because of their dual nature, they have the tendency to spontaneously form supramolecular structures made up of thousands of molecular units. An example is lipid assemblies (micelles), which have even been shown capable of growing and splitting in a fashion reminiscent of cell replication. Yet a critical question was left unanswered: how could lipid assemblies propagate and carry information?

The model proposed by Lancet and his colleagues offers a solution. They surmise that, early on, lipid-like compounds existed in a great diversity of shapes and forms. They show mathematically that under such conditions lipid assemblies could contain almost as much information as an RNA strand or a protein chain. Information would be stored in the assembly's composition -- in the exact amount of each of its compounds, rather than in a sequence of molecular "beads" on a string. A useful analogy would be the way in which perfume is discerned by receptors in the nose. The information depends on each ingredient's proportion in the mixture, but the order in which aromas are added is unimportant.

Thus, the authors argue, heterogeneous lipid assemblies may be thought of as having a "compositional genome." Their computer simulations also show that a droplet-like lipid assembly, when growing and splitting, could be passed on to future generations with reasonable constancy. A crucial aspect of the model is how such molecular inheritance is made possible. In present-day cells, protein enzyme catalysts facilitate the replication of information-containing DNA. In the early, prebiological era, the same lipid-like substances carrying the information might have performed catalysis. Molecules already present inside a droplet would function as a molecular selection committee, enhancing the rate of entry for some and rejecting others.

Lancet, Segre, and Ben-Eli designed a simulation that shows, solely on the basis of physiochemical principles, how lipid droplets accrete, grow, split, self-replicate, accumulate compositional mutations, and become involved in a complex evolutionary game. Significantly, it is entire assemblies, with their complex mixtures of relatively small molecules that are replicated. This differs from older models, in which it is a single, long RNA polymer that is copied. The scientists' model makes very few chemical assumptions and involves a rich molecular behavior reminiscent of life processes. It therefore has the potential of constituting the long-sought bridge leading from the inanimate world to that of living organisms.
 
This research has already attracted considerable interest and was quoted in the recently published new edition of the classic Origins of Life by Freeman Dyson of the Princeton Institute for Advanced Study. The next important question to be answered: How could lipid droplets undergo the numerous transitions needed to lead to living cells as we now know them? The study marks the first footfall in a long journey to come.
 
Lipids droplets accrete, grow and split
 
 
 
The origin of life, as shown by a simulated model based on lipid evolution
Life Sciences
English

To Find Cures for Cancer

English
Prof. Leo Sachs. From Germany by way of Cambridge
 
 

 

When asked to predict future trends in cancer research, Prof. Leo Sachs responds resolutely: "Futurology in science has not been very successful. If I knew what would be important in five years time, I would do it now!"

With nearly 50 years of research behind him and still going strong, Sachs, a member of the Weizmann Institute's Molecular Genetics Department, has made fundamental contributions to the fields of hematology, developmental biology, and cancer research, paving the way to clinical treatments applied worldwide.

To find cures for cancer has topped the medical wish list throughout most of the twentieth century. Over one hundred forms of cancer exist, and though induced by diverse factors, all result in changes to the DNA. Now, when some researchers claim that the deciphered human genome may lead to an imminent cure for cancer, Sachs's perspective on this battle is unique -- he's been on the scene since even before the DNA double helix was discovered, back in 1953.

He had actually envisioned things quite differently. Born in Leipzig, Germany, his family moved to England in 1933 following Hitler's rise to power. "My original dream was to help establish a kibbutz in Palestine. I even spent two years as a farm laborer, milking cows," says Sachs. But apparently it wasn't in the cards. The doors to Palestine were virtually closed by the British, so Sachs began studying agricultural botany at the University of Wales, became fascinated along the way by genetics and development, and ended up completing a Ph.D. in genetics at Cambridge University.

He moved to Israel in 1952, where he began to contribute to the fledgling country in the way he knew best -- as a geneticist at the Weizmann Institute. "I wanted to study animal and human genetics, but there were no animals," Sachs recalls. "Nor for that matter, was there a building to work in. The cornerstone for the experimental biology building had just been laid." Given a bench in one of the chemistry departments, Sachs started working on a theory that human amniotic fluid, which bathes the baby in the womb, contains fetal cells that provide information about the fetus. His research proved him right, showing that these cells can be used to determine the baby's gender and other important genetic properties. Sachs's research formed the basis for amniocentesis, the widely used prenatal diagnosis of human diseases.


What's Gone Right, Not Wrong


Eventually, Sachs secured his own laboratory and a supply of mice and began working on a question that would anchor his research throughout. "The question was, what controls normal development and what happens when development goes wrong? Why does the machinery in cancer cells run amok, causing abnormal proliferation? I was convinced at the time, as I am now, that in order to understand 'what's gone wrong' (in cancer), one must first understand 'what's gone right' -- in other words, normal cellular processes," Sachs explains.

Focusing on blood stem cells, a small group of bone marrow cells that produce some 200 billion new blood cells every day, Sachs ended up designing the first cell culture system able to grow, clone, and induce the development of different types of normal blood cells. The year was 1963. Using this process, he subsequently discovered and identified a family of proteins that plays a key role in controlling normal blood cell development. Later named colony stimulating factors (CSF) and interleukins, one of these CSF proteins is now used worldwide in a variety of clinical procedures. These include boosting the production of infection-fighting white blood cells in cancer patients undergoing chemotherapy or radiation, and improving the success of bone marrow and peripheral blood cell transplants.

Sachs also demonstrated, for the first time, that malignancy can be reversed. He showed that the proteins he had identified, and some other compounds, set leukemic cells back on the right track -- inducing them to differentiate into normal-behaving mature cells. This approach, using retinoic acid combined with chemotherapy, is now standard procedure in treating human promyelocytic leukemia, and it has greatly increased survival rates.

Why do cancer cells outlive normal cells? This is another question currently being explored by Sachs. All cells contain a built-in suicide mechanism, known as apoptosis, which is vital for eliminating damaged or surplus cells. However, many cancer cells contain mutations in the key suicide-regulating genes, causing them to live longer. "By 'switching off' these mutated genes and other external factors we may be able to induce cancerous cells to self-destruct," says Sachs.


Not Why, But How


The research questions have not changed over time, Sachs emphasizes, only the methodologies. "In the past we were able to view the various types of chromosomal abnormalities, but today we can also zoom in and examine the actual interaction between genes. By uncovering the genes involved and how they are expressed in their environment -- in other words, what the neighborhood is like -- we can essentially eavesdrop on 'communication lines' and target weak links. For instance, one approach is to target communication between tumors and new blood vessels that support them. New diagnostic techniques will also improve our ability to determine the therapy likely to be most effective in treating a patient's specific pathologies."

And what about gene therapy -- replacing defective genes with normal counterparts? Sachs believes it may be quite some time before this approach becomes clinically feasible. "But who knows," he says, leaning back on his fifty years of scientific experience. "Remember, the most interesting things in science are the unexpected and unpredictable!"
 
Prof. Leo Sachs
Life Sciences
English

Brain Microprocessors in Action

English

Illustration: Peeking into the brain

Brain researchers aim to map nerve cell clusters in action, "conversing" with their peers, processing sensory information, or performing cognitive functions. Each cluster, containing thousands of nerve cells performing a given task, is called a cortical column. The ability to obtain an exact mapping of these columns, which serve as the brain's "microprocessors," is critical to understanding sensory perception and higher cognitive functions. Yet until recently, explorations of the human brain have had to rely on indirect methods with limited accuracy, such as positron emission tomography (PET) and functional magnetic resonance imaging (f-MRI). While these techniques can be used to map an active area at an accuracy of 2-7 mm, mapping brain microprocessors requires an accuracy of 0.5 mm.

 

In the past 15 years, Prof. Amiram Grinvald of the Weizmann Institute's Neurobiology Department has developed optical imaging - a brain-mapping approach that tracks color changes in the blood ferrying oxygen to active microprocessors. Using this technology, Grinvald was able to identify the exact time and place in which nerve cells consume oxygen from the microcirculation system. The high resolution permitted detailed mapping of individual cortical columns.

 

Optical imaging laid the foundation for developing functional MRI by Seiji Ogawa and colleagues at AT&T. Initially scientists had hoped that using f-MRI would enable brain mapping with the same accuracy as that obtained by optical imaging. Indeed, both methods detect a considerable "delayed activity peak" that appears roughly six seconds after the onset of electrical activity. Yet the f-MRI systems could not detect the initial dip," a negative signal that appears earlier, which is clearly visible with optical imaging.


This is where things stood until recently, when Grinvald and colleagues published a paper in Science, suggesting how to enhance f-MRI resolution. Now, a team of researchers from Minnesota University has adopted this recipe and found the missing initial dip using high strength magnetic field f-MRI. The marked improvement in f-MRI should assist attempts to probe human cognition and perception. "f-MRI is far more suitable for non-invasive human brain research and clinical applications than optical imaging or PET," says Grinvald. "It may be used to explore the same brain for many years, enabling researchers to track and map memory traces, aging processes, or functional recovery from trauma or stroke."


And the Minnesota team has already collected the first rewards - the first exact mapping of orientation columns, microprocessors responsible for shape perception in the visual cortex.


Prof. Amiram Grinvald holds the Helen and Norman Asher Professorial Chair in Brain Research. His research is supported by the Horace W.Goldsmith Foundation, New York, Murray Meyer Brodetsky Center of Higher Brain Functions, Mrs. Margaret M. Enoch of New York, the Simon and Marie Jaglom Foundation, New York, and the Carl and Michaela Einhorn-Dominic Brain Research Institute, France.

Illustration: Peeking into the brain
Life Sciences
English

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