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Tracking a Serial Killer: Ebola virus mutating rapidly as it spreads.

Why we need to terminate Ebola 2014 before the virus learns too much about us.

Biochemistry and Molecular Biology Slide 2

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Biochemistry and Molecular Biology Slide 3

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Biochemistry and Molecular Biology Slide 4

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Biochemistry and Molecular Biology Slide 5

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Biochemistry and Molecular Biology Slide 6

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Biochemistry and Molecular Biology Slide 7

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Thursday, November 13, 2014

The Origins of Oversized Chromosomes

The Scientist »  The Nutshell

Researchers reconstruct the formation of the giant neochromosomes that contribute to some cancers.

By | November 12, 2014
 
Neochromosomes (green) found in some cancer calls
may be up to three times as long as normal
chromosomes (magenta).
MURDOCH CHILDREN’S RESEARCH INSTITUTE, OWEN MARSHALL
More than half a century ago, scientists noticed a distinctive abnormality in the karyotypes of some soft-tissue cancers: unusually large chromosomes, now referred to as neochromosomes. In a new analysis reported this week (November 10) in Cancer Cell, a team of Australian researchers have uncovered the origins of neochromosomes and revealed mechanisms that could guide therapies to block the chromosomes’ construction.
 
Using next-generation sequencing and mathematical modeling to investigate the development of neochromosomes, David Thomas of the Garvan Institute in Sydney and his colleagues found that the process appears to begin with the splintering and rearrangement of chromosome 12, followed by breakage-fusion-bridge cycles that lead to the amplification of oncogenes. Notably, neochromosomes often contain dozens of copies of the MDM2 and CDK4 genes, which are involved in cell cycle regulation.
 
Neochromosomes, which may be up to 700 million base pairs long (three times the size of the longest normal chromosome), also contain bits and pieces of material from all of the cell’s chromosomes, particularly in their telomeres, which are stitched on at later stages.
 
“These cancers manipulate the normal replication process in an ingenious way, creating a monster that can selectively steal and amplify the genes it needs to grow and survive,” Thomas said in a statement. “In some liposarcoma cell lines, DNA from every chromosome in the cell was found in the neochromosome, with between 60 and 100 copies of key oncogenes. Patient tumours also exhibited similar gene rearrangement.”
 
“The life history that emerges . . . is apparently a tale of disaster upon disaster,” wrote Joshua Waterfall and Paul Meltzer of the US National Cancer Institute in a commentary on the study. “It is quite surprising that anything functional, let alone beneficial for the cell, can be so created.”

New Models and Tools for Studying Synaptic Development and Function

The Scientist » Sponsored Multimedia » Sponsored Webinars

The Scientist brings together a panel of experts to discuss emerging technologies for studying synapse development and function.
 
By | September 16, 2014
 

http://w.on24.com/r.htm?e=852842&s=1&k=F5AC7316E967E1AB65400A7F65152AA6

FREE Webinar

Tuesday October 28, 2014
12:30 - 2:00 p.m. Eastern Time

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Establishment of neural circuits is a tightly regulated process coordinated by a series of cellular and molecular mechanisms. Within the neural circuitry electrical and chemical information is transferred at the synapse. Dysregulation of synapse formation or function has been linked to a variety of neurological diseases including autism, schizophrenia, addiction, dementia, and Alzheimer’s disease. The Scientist brings together a panel of experts to discuss emerging technologies for studying synapse development and function. Attendees will have an opportunity to interact with the experts, ask questions, and seek advice on topics that are unique to their research.
This webinar will examine new tools for studying synaptogenesis and synapse function including:
  • Imaging, microscopy, and electrophysiology techniques
  • Molecular tools for studying synaptic proteins
  • Novel in vitro and in vivo methods
View the Video Now

Meet the Speakers:

  Dr. Ed Boyden
  Associate Professor
  MIT Media Lab and McGovern Institute
  MIT Departments of Biological Engineering and Brain and Cognitive Sciences


  Dr. Donald Arnold
  Professor
  Department of Biological Sciences
  University of Southern California


  Dr. Loren Looger
  Group Leader
  HHMI
  Janelia Farm Research Campus


NeuroScientist NewsBioLegend

http://www.the-scientist.com/?articles.view/articleNo/41012/title/New-Models-and-Tools-for-Studying-Synaptic-Development-and-Function/

Wednesday, November 12, 2014

Circular Chromosomes Straightened

The Scientist » News & Opinion » Daily News

A newly described method linearizes circular chromosomes in yeast and caps them with telomeres to mimic natural chromosomes.

By | November 6, 2014
 
FLICKR, AJ CANN
Synthetic biologists often work with circular chromosomes to engineer genetic material because they’re stable and easy to manipulate, but they don’t resemble the natural shape of chromosomes in eukaryotes. Reporting in PNAS this week (November 5), Jef Boeke of NYU Langone Medical Center and postdoc Leslie Mitchell designed a tool, which they dubbed the telomerator, that straightens circular yeast chromosomes and adds telomeres to either end.

“To convert circular DNA to something more akin to a natural chromosome is appealing,” said Timothy Lu, a synthetic biologist at MIT who was not involved in the study. Lu said the telomerator could help advance a number of goals, from designing artificial chromosomes that encode complex pathways to testing the significance of telomere location in the genome. “It’s really a platform technology for downstream applications.”
 
The telomerator includes an endonuclease target—the site where the DNA loop will be severed—flanked by telomere seed sequences that form the basis of telomere construction. The telomerator is inserted into a gene of interest in the circular chromosomes, and when an endonuclease cuts the sequence at the recognition site, each exposed end carries a seed sequence on which to build telomeres. “The reason you can actually linearize the molecule and produce a stable molecule is because this telomere seed sequence gets exposed,” explained Mitchell. She and Boeke engineered the telomerator so that it would be induced only in the presence of galactose, giving scientists an easy way to turn it on by simply changing the growth medium.
 
The researchers tested the telomerator on a synthetic chromosome designed a few years earlier, cutting it at 54 different genes. For 51 of the permutations, “we got pretty happy yeast at the end of the experiment,” said Boeke. For another three, it appeared that the proximity of essential genes to the new telomere interfered with their expression, a phenomenon known as telomeric silencing. Blocking telomeric silencing rescued the cells’ growth. “I would say we’ve worked out most of the kinks for yeast,” said Boeke. “All you need to decide right now is where you want to put it.”
 
Yo Suzuki, a synthetic biologist at the J. Craig Venter Institute, said that linearizing DNA is important to avoiding problems in meiotic recombination that can emerge with circular chromosomes. In particular, crossover events between two circular chromosomes can result in a chromosome with two centromeres, which would break during chromosome segregation. “If you have a linear molecule in yeast, you don’t have that problem,” Suzuki said.
 
Suzuki envisions that the telomerator will open up more opportunities for chromosome engineering, such as splitting chromosomes into customized fragments, fitting them back together, and then delivering the genetic material to recipient cells such as bacteria. Suzuki and colleagues have developed an approach of moving genomes into new cells via cell-to-cell transfer, and being able to do all the chromosome engineering within the yeast cell before transferring the material to a recipient will accelerate progress in the field, he said. “Boeke’s approach of linearizing is the first step,” he told The Scientist.
 
Alina Chan, a postdoc in Pam Silver’s lab at Harvard University, said it will be informative to explore the characteristics of the telomeres on the linearized chromosomes. “That’s something that would be interesting to look at in an artificial context: how long telomere seeds get extended and whether they get truncated over time,” Chan told The Scientist. Additionally, she said, the telomerator will be useful to study why eukaryotes have linear chromosomes. “What are the evolutionary advantages of the linear format?” she asked.
 
Boeke said his next goal is to apply the telomerator to mammalian cells. “We’d like to be able to build large molecules in the form of circles because they’re relatively easy to move around, sequence, et cetera,” he said. “But when we deliver them to mammalian cells we’d like to deliver a linear chromosome that looks like a native chromosome. And we think the telomerator allows us to do that.”
 
Chan pointed out that some of the technology the telomerator calls upon was developed two decades ago. And since then, others have induced chromosome splitting. Boeke’s advance was to achieve it in a circular chromosome. “It’s important to point out that various bits and widgets of this thing we pulled together are not unique to us, but it’s a combination of all these pieces that uniquely defines the telomerator,” Boeke said.
 
The name, too, was inspired by past successes in bioengineering, he noted. The repressilator is a genetic circuit developed more than a decade ago that cycles the expression of a fluorescent signal. The term telomerator “is a nod to the first synthetic biology device,” Boeke said.
 
L.A. Mitchell and J.D. Boeke, “Circular permutation of a synthetic eukaryotic chromosome with the telomerator,” PNAS, doi:10.1073/pnas.1414399111, 2014.
 
http://www.the-scientist.com/?articles.view/articleNo/41398/title/Circular-Chromosomes-Straightened/
 

The RNA World: molecular cooperation at the origins of life.

Abstract

The RNA World concept posits that there was a period of time in primitive Earth's history — about 4 billion years ago — when the primary living substance was RNA or something chemically similar. In the past 50 years, this idea has gone from speculation to a prevailing idea. In this Review, we summarize the key logic behind the RNA World and describe some of the most important recent advances that have been made to support and expand this logic. We also discuss the ways in which molecular cooperation involving RNAs would facilitate the emergence and early evolution of life. The immediate future of RNA World research should be a very dynamic one.

Key points

  • Research into the RNA World paradigm is active, and new discoveries in synthetic organic chemistry and biochemistry routinely provide new insights.
  • The field of prebiotic chemistry is increasingly discovering phenomena that provide solutions to multiple (as opposed to single) problems simultaneously.
  • A key issue in RNA World research is how RNAs might have made copies of themselves (that is, how they replicated). There are now several possible mechanisms of this process, and increasing focus is being placed on those that display autocatalytic feedback.
  • Cooperation among various molecules was probably a key aspect of the RNA World, and at least three types of molecular cooperation could have been at play during the origins of life.
  • Chemical alternatives to RNA per se may have existed at some point in the Earth's earliest history, and many efforts are underway to find and evaluate such structures.
  • Network establishment was another process that had a large impact on the organization of the living state, from small molecules to large molecules and cell-like structures.

Introduction

 
The RNA World is the conceptual idea that there was a period in the early history of life on Earth when RNA, or something chemically very similar, carried out most of the information processing and metabolic transformations needed for biology to emerge from chemistry. This scenario, if it indeed existed, took place some 4 billion years ago. By contrast, the realization that RNA is a good candidate for the emergence of life is an idea that is only ~50 years old. It was recognized early on by Crick1, Orgel2 and others that RNA has both a genotype and a phenotype, and that a system based on RNA would be a plausible precursor to the much more complex system of DNA–RNA–proteins on which current life is based. It was also realized that the ribonucleotide coenzymes now used by many proteins may be molecular 'fossils' from an RNA-based metabolism3. Discoveries of naturally occurring ribozyme catalysts, such as self-splicing introns4 and the ribonuclease P catalyst5, were made in the 1980s and, with the demonstration that ribosomal RNA catalyses peptide bond formation in the ribosome6, the credentials of RNA as a catalyst became firmly established.
 
Spiegelman's classic experiments with the bacteriophage Qβ showed how viral RNA could evolve over time in response to selection7. This study gave rise to the field of in vitro evolution8 by demonstrating that RNA could behave in a Darwinian manner in the absence of cells. Once this realization has been made, pioneers such as Orgel9, Eigen10, Joyce11, 12, Gold13 and Szostak14 fully demonstrated the evolutionary capabilities of RNA and made it difficult to ignore the possibility that life started with RNA. However, additional pieces of data from both new and old angles then became available. The catalytic repertoire of RNA was shown to be diverse15, RNA riboswitches were detected in bacteria and shown to be widespread in biology16, and an autocatalytic cycle based on RNA ligases was found17. Furthermore, polymerase ribozymes that can use another sequence as a template were selected and improved18, 19, 20 (see below).
 
Different research questions are gradually being brought together to assemble a complete picture of the emergence of life via the RNA World scenario (Fig. 1). New routes of chemical synthesis of ribonucleotides that could operate prebiotically are being studied, and there are also further experiments to isolate ribozymes from random RNA sequences. These areas are reviewed below. Theoretical models of RNA action are being developed to describe the origin and evolution of replicating systems. A point that emerges both from theoretical work and from laboratory experiments is that cooperation at the molecular level is essential for the survival of replicating sequences. A key aim of this Review is to describe the different senses in which cooperation is relevant in the RNA World. We argue that RNA replication must also fit into a broader thermodynamic and biological context if this were to form the basis of life (Fig. 1). What was the energy source that drove the synthesis of large macromolecules on early Earth? What were the environmental conditions at the location where these molecules were forming? How did RNA replication become associated with growth and division of protocells? Current ideas on some of these questions are considered later in this Review.
 
Figure 1: Research in different fields is coming together to assemble a more complete picture of the way the RNA World began and operated.
Research in different fields is coming together to assemble a more complete picture of the way the RNA World began and operated.
a | Progress in organic chemistry helps to show how nucleotides and RNA oligomers could have been synthesized before life. b | In vitro evolution studies discover functional ribozymes in the very large RNA sequence space. c | Theoretic…
 
Figure 2: RNA polymerases as altruistic cooperators.
RNA polymerases as altruistic cooperators.
 
a | A trans-acting RNA polymerase (or replicase) such as the R18 polymerase18 is a likely mechanism for supporting replication in the RNA World. b | Such a polymerase can use a template that is either another copy of itself (red) or an unrelated sequence (grey). Well-mixed systems of altruistic replicators are destroyed by parasites. There are two ways in which cooperators can resist parasites. c | First, survival of replicases is possible in two-dimensional models on surfaces. A simulation of altruistic replicators (red) diffusing on a surface in the presence of parasites (grey) demonstrates survival of the replicators as a result of spatial clustering82. d | Second, when small groups of molecules are packaged in compartments, group selection can occur. Functional RNAs (red and blue) are shown replicating in a protocell compartment in the presence of parasites (grey). Random segregation creates cells of varying composition. Cells with an excess of parasites are unviable, and this prevents parasites from over-running the system, even if the parasites multiply at a higher rate within a cell. Part a reproduced from Ref. 50, Nature Publishing Group. Part c reprinted from J. Theor. Biol., Vol. 364, Shay, J. A., Huynh, C. & Higgs, P. G., The origin and spread of a cooperative replicase in a prebiotic chemical system, 249259, Copyright (2014), with permission from Elsevier.
 
Figure 3: Different senses of molecular cooperation.
Different senses of molecular cooperation.
 
a | Cooperation in networks of mutually dependent strands with different functions is shown. An autocatalytic set involves precursor molecules present in the environment (blue circles) and molecules synthesized by the cycle (green circles). Each reaction (red triangles) is catalysed by a molecule that is part of the set (dashed arrows). b | An autocatalytic set composed of two cross-catalytic ligases17 is shown. RNA A and RNA B are ligated together by ribozyme E′ to create ribozyme E, which can reciprocate and ligate RNA A′ and RNA B′ to create ribozyme E′. c |Cooperation between multiple strands that assemble to perform a single function is shown. Ribozymes, such as the Azoarcus recombinase57, can be made from several short strands that assemble as a result of RNA secondary structure formation and information contained in internal guide sequences (IGSs) and complementary targets (grey). d | While strands can cooperate to form ribozymes, these ribozymes can then potentially cooperate at an even higher level to construct an autocatalytic set, such as a three-membered cycle60. In this scheme, the Azoarcus ribozyme is fragmented into two pieces in three different ways (that is, at three different junctions). The IGS of the ribozyme in E1 is adjusted in such a way that it can only covalently assemble the E2 ribozyme and so on, such that for assembly of all the ribozymes an obligatory cooperative process must (and does) occur. Part b from Lincoln, T. A. & Joyce, G. F. Self-sustained replication of an RNA enzyme. Science 323, 12291232 (2009). Reprinted with permission from AAAS. Parts c and d adapted from Ref. 60, Nature Publishing Group.
 
Contemporary studies both in the laboratory and by simulation are beginning to reveal the cooperative nature of the RNA World, as well as how various types of cooperation and conflict probably guided the earliest evolutionary processes. The basics of the RNA World concept are well established, but the details continue to evolve. A powerful theme has begun to emerge from many of these new approaches and their results. One way to describe this is systems chemistry100. By focusing not on single reactions in isolation but on the collective set of processes that must all occur contemporaneously, systems chemistry can lead to the discovery of 'multi-fers' in which the system as a whole can establish itself through the shared use of common conditions, reactants or products. Another way to look at this process, one that we highlighted in this Review, is that of chemical cooperation (Box 1). This newer view, embedded in the broader perspective of intermolecular cooperation and conflict, is pervading other aspects of study of the RNA World, as we explored above.
 
Key questions for the next decade of research include the following. How long were the first ribozymes? In other words, what is the extent of the error threshold problem? How specific were the first ribozymes? Was life sparked by a single polymerase or a random autocatalytic set? How far can the RNA World go without being encapsulated in a cell, or were there cells already at the earliest stage? What was the energy source for the RNA World? Thus, how was it possible to link a stable energy supply to a metabolic synthesis of RNA? The RNA World idea emphasizes replication, but thermodynamic driving force is still needed for synthesis. We anticipate that the answers to many of these questions will not only be within our conceptual reach in the next decade or two, but will also invoke the insights gained from a more systematic appreciation of how conflict and cooperation can influence molecular processes. 

Nature Reviews Genetics | Review
Article series: Non-coding RNA
Paul G. Higgs1, & Niles Lehman2,
Year published
 
http://www.nature.com/nrg/journal/vaop/ncurrent/full/nrg3841.html?WT.mc_id=FBK_NatureReviews
 

DNA Extraction Kits Contaminated

Sequencing study reveals low levels of microbes in lab reagents that can create big problems for some microbiome studies.

By | November 11, 2014
 
FLICKR, CIMMYT
Researchers studying microbiomes can do their best to prevent contamination, but a new study reveals widespread, low-level contamination in DNA extraction kits. Reporting in BMC Biology today (November 11), Alan Walker of the University of Aberdeen in the U.K. and colleagues list dozens of contaminating taxa that can swamp out a sample’s true microbial signal, if starting concentrations are low.
 
“It’s really important to sequence a negative extraction control,” said Patrick Schloss, a microbiome researcher at the University of Michigan who did not participate in this study. “That’s something people should be doing and are not doing.”
 
Contamination or signal?
The presence of microbial DNA in laboratory reagents is nothing new. Studies have even found bacterial DNA in ultrapure water, and just a few weeks ago researchers pointed out ubiquitous contamination in next generation sequencing runs. In many cases such extraneous DNA may not be an issue, but for highly sensitive deep sequencing of amplified samples, contaminants can start to compete with signal, as Walker’s team found.
 
Walker’s group made serial dilutions of Salmonella bongori, beginning with 100 million cells and reducing the sample down to 1,000 cells. When the sample of S. bongori was 10,000 cells or fewer, the abundance of DNA from other microbial taxa exceeded 50 percent of the sequences. This happened using four different commercial extraction kits. Bradyrhizobiaceae, Burkholderiaceae, Pseudomonadaceae, and dozens of other bacterial groups were present, although each kit had a different profile.
 
“The assumption has been they are sterile,” said Walker, adding that, to be fair, DNA extraction kits aren’t marketed as such. “What [researchers] need to do is go back and do some negative controls and with a bit of confidence say, ‘they really are in the samples,’ in cases where maybe there are potentially suspicious results,” he said. Schloss made the point that investigators should not rely on the list Walker’s team produced as a comprehensive catalog of potential contaminants, but be sure to do their own controls given that contamination can vary from batch to batch.
Safeguarding samples
 
Walker’s paper pointed to a couple of studies in which human diseases have been linked with unexpected microbes. In one, for example, Delphine Lee of the John Wayne Cancer Institute in Santa Monica, California, and colleagues found different microbial profiles in breast tissue from cancer patients and normal controls, namely, different abundances of Methylobacterium radiotolerans and Sphingomonas yanoikuyae. Although Methylobacteriaceae and Shingomonadaceae popped up in some of the DNA extraction kits Walker’s group tested, Lee said that she and her team are very aware of contamination concerns—especially given that her work involves low biomass samples—and that they performed the right controls.
 
“With low biomass the tiniest little change can be detected,” Lee told The Scientist. In contrast, a fecal sample would have many more microbial cells. “You could sneeze all over it, you’re not going to affect the findings.”
 
Another study, by Matthew Meyerson of Harvard Medical School and colleagues, identified a novel bacterial species, Bradyrhizobium enterica, in patients with a colitis syndrome. Bradyrhizobium were also detected in Walker’s study, although Meyerson said his team did not detect any DNA from the organism in the reagents used. Additionally, his group performed in situ hybridization on the samples, from which they could see a signal from B. enterica in tissue from patients with colitis but not in controls. Meyerson said contamination is always a possibility, and performing additional cellular assays adds a very strong layer of confidence in the sequencing results.
 
Schloss has experienced his own problems with reagent contamination. In a study on cystic fibrosis, his team found Pseudomonas DNA present in a commercial kit. Such contamination is particularly problematic given that these bacteria are an important pathogen in the lung, especially among people with cystic fibrosis. “We need to be thoughtful in how we design our experiments [and determine] what types of controls are critical.”
 
Clean kits
Martin Laurence, the founder of Montreal-based ShipShaw Labs, which develops bioinformatics tools, said that sequencing studies would greatly benefit from kits that are free of any microbial DNA. “That would simplify studies a lot,” said Laurence, who reported with colleagues earlier this year the presence of bacterial DNA in human genome sequencing reads.
 
In an e-mail to The Scientist, Qiagen spokesperson Przemek Jedrysik pointed out that the QIAamp DNA Stool Mini Kit, one of the four Walker tested, “was not designed to be DNA-free or to be used in low-biomass applications.” However, he added, Qiagen recognizes that certain analyses require cleaner reagents and the company has been developing products with ultra clean product (UCP) spin columns. “It has been confirmed by independent laboratories that the new UCP kits have a significantly lower background and thus meet requirements for high sensitivity analyses.”
 
It’s not just researchers and kit manufacturers with the responsibility of managing contamination issues, but peer reviewers as well, said Laurence. “Going forward, this article should make the peer-review process more strict for articles that find novel bugs and associate them with human disease.” In particular, that means ensuring studies include the appropriate controls. “Many, many studies have used these DNA extraction kits,” he said. “I’m very surprised that it took so long” for someone to report on the contamination.
 
S.J. Salter et al., “Reagent and laboratory contamination can critically impact sequence-based microbiome analyses,” BMC Biology, 12:87, 2014.
 

Sunday, November 9, 2014

Incredible Flu Fighting Tea that Gives Fast Results

Saturday, November 8, 2014

Opinion: The Planet Needs More Plant Scientists

Academia is not producing sufficient PhDs in the plant sciences to solve the crop production challenges facing a rapidly growing population.

By | October 1, 2014
 
FLICKR, JOI ITOWhile the message is not new, the declaration of the flaws of the US biomedical research system by four prominent life scientists this spring captured everyone’s attention. Bruce Alberts, Marc Kirschner, Shirley Tilghman, and Harold Varmus wrote in PNAS of how “demands for research dollars grew much faster than the supply . . . [due to] perverse incentives [that] encourage grantee institutions to grow without making sufficient investments in their faculty and facilities.” Rather than devote money to faculty salaries, universities built infrastructure to house more self-paid researchers able to bring in more money via research grants, of which a large fraction was used as revenue (overhead) for the university. More labs required more students to fill them, leading to a dramatic rise of PhDs in the biomedical sciences, which then produced more researchers competing for dwindling grant dollars. In short, research institutions have no incentive to support individual faculty and instead have perverse incentives to encourage further research spending: more grants = more overhead = more buildings = more PIs = more PhDs in an increasingly out-of-control spiral. (See “PhDs in the U.S.”) This is not sustainable, and we are now experiencing the consequences, with the most despairing being the lack of adequate jobs for our postdocs and perceived insufficient funding for all of us.
 
PhDs in the U.S.: From 1982 to 2012, the total number of PhDs in the life sciences (blue) has grown dramatically. Most of these PhDs are in biological, biomedical, and health sciences (red), however; the number of PhDs in the agricultural and natural sciences (green) has remained flat over that same time period. The unsustainable rate of PhDs awarded per year in the biomedical sciences does not extrapolate to the rate of PhDs in other life sciences, however, especially the agricultural sciences, where the rate of PhDs per year has remained flat for decades. Since 1982, we have consistently trained only about 1,000 PhDs in applied agricultural and related sciences each year. And over the last decade, the U.S. has annually produced only 800 or so plant scientists working in applied agricultural science and only 100 with the skills for basic plant research. (See “Plant science stagnates.”) Given the global agricultural challenges we now face, this is a problem.
 
The Earth must support another 1 billion humans in the coming decade, and must do so with less arable land and in an unpredictable climate. This means we must find innovative ways to produce crops with higher yields and novel traits—a feat that will require the work of PhDs trained in agriculture and plant sciences. But at this point we are not producing enough plant scientists to lead us out of this Malthusian dilemma.
 
The US Coalition for a Sustainable Agricultural Workforce recently completed a confidential survey among agricultural biotech companies to ascertain near-term needs for hiring domestic agricultural scientists. This survey generated an amazing result, given the tone of the PNAS perspective, predicting that by 2015, 1,000 new employees will be needed in the half-dozen largest plant-science companies in the US alone (Bayer Crop Science, Dow Agro Sciences, Dupont Pioneer Hybrid, Dupont Crop Protection, Monsanto, and Syngenta). Almost half of these anticipated new hires will hold PhDs. Unfortunately, with what appears to be a dwindling pool of qualified applicants applying to plant science PhD programs, we may not be keeping up with this demand.
 
Plant science stagnates: Selected subdisciplines relevant to a work force in plant industry (blue and green) have not increased this century, while selected biomedical subdisciplines (red) have grown steeply.

Biomedical subdisciplines include bioinformatics, biomedical sciences, biometrics and biostatistics, cancer biology, computational biology, developmental biology/embryology, neurosciences and neurobiology, structural biology, virology. Basic plant biology subdisciplines (green) include botany/plant biology, plant genetics, plant pathology/phytopathology, plant physiology. Agricultural research subdisciplines (blue) include agricultural and horticultural plant breeding, agricultural economics, agronomy and crop science, forest engineering, forest sciences and biology, forestry and related science, horticulture science, plant pathology/phytopathology (applied), plant sciences (other), soil chemistry/microbiology, soil sciences, entomology, plant genetics, plant pathology/phytopathology applied plant physiology.
The growing world population needs to eat, and it is past due that we elevate basic, translational, and applied plant research to the priority given to biomedical research, or more boldly, to defense. Stabilizing food supplies in a changing environment is integral not only to the world population’s health, as an estimated 50 percent of childhood disease globally is attributed to malnourishment, but also to national security. Moreover, a recent study found that, around the world, the rate of return for investment in agricultural research is ten to one, bringing into question the scaling back of funding for agriculture research and development in many rich countries.   
Going forward, we must infuse more resources into plant biology research, to boost research output and to train tomorrow’s plant scientists. In the early 1980s, the National Science Foundation (NSF) established an 11-year postdoctoral fellowship program with the primary objective to nurture future leaders of plant biology research. By many accounts, this program was successful; among a cohort of 236 fellows, four are members of the National Academy of Sciences today, and more than 80 percent remained in plant biology. Of those, the majority stayed in academic institutions, while an impressive number (25 percent) went to industry, where many now hold corporate officer positions. Anticipating the need for leaders to alleviate hunger and to prevent global instability, we should reinstate this program to recruit our best talent to plant science and agricultural research.
 
In conclusion, it is important that the sirens of a glut of biomedical PhDs do not fallaciously harm other areas of science that are still in desperate need of young researchers and more research funding. This is especially true for the plant sciences, where the next generation of researchers must conquer significant challenges to feed a growing world population in a changing environment.
    
Acknowledgement: I thank Machi Dilworth for providing annotated data on the NSF Postdoctoral Fellowship program. Data source: NSF.
 
Alan M. Jones is a Kenan Distinguished Professor at the University of North Carolina, Chapel Hill.
http://www.the-scientist.com/?articles.view/articleNo/41133/title/Opinion--The-Planet-Needs-More-Plant-Scientists/
 




Best Drink to Boost Metabolism and Reduce Weight Naturally

Healthy Food Style

Being healthy means being happy

You may feel frustrated about all your attempts at slimming your waistline and shedding all those extra pounds you have been carrying around for some time. You tried your best and still no evident results.

Best Drink to Boost Metabolism and Reduce Weight Naturally1


No magical pill or electronic device can substitute the good old exercise and proper diet. Choosing the right combination is the key to healthy weight loss management without being afraid of the pounds bouncing back. Yellow and orange color foods are excellent solution for losing weight and they are extra delicious. Moreover, they are recommended for improving mood, so if you are disappointed after so many failed attempts, now is the time to take control of the situation, reduce weight and boost your mood at the same time.
 
Apples and pears are high in dietary fiber which aid the weight loss process by speeding up metabolism and keeping you full for longer period thus preventing intake of more calories. They also prevent constipation and regulate blood sugar.
 
Oranges and lemons are perfect addition to your weight loss plan owing to their abundance of vitamin C which acts as a natural fat burning compound. Vitamin C helps the body burn calories, flushes out toxins accumulated in the body which improves liver health necessary for appropriate metabolism of fats.
 
Metabolism is regarded as a complex process in which the body transforms the consumed food into fuel. Flax seeds and ginger are natural metabolism boosters and their regular consumption will not only help you reduce weight but also burn fats especially accumulated in the stomach area.
 
Mix these healthy ingredients to prepare incredibly delicious beverage that will keep you healthy and melt pounds naturally. Prevent weight gain, overweight or obesity, shape your body the way you have always dreamed about and improve your health. Your body will be grateful one day.
 
Always choose fresh organic ingredients in order to avoid pesticides and other harmful and toxic substances.
 
Consume this drink twice, early in the morning and 3 hours later. Then take your lunch and eat something light for dinner ( seasonal salad or vegetable soup). Drink this beverage regularly, boost your metabolism and start losing weight naturally.You will be amazing by the results.

Best Drink to Boost Metabolism and Reduce Weight Naturally

Serving Size-2
Ingredients:
  • 2 pears
  • 1 apple
  • 1 banana
  • 1 orange
  • 1 lemon
  • 1 tbsp. ground flax seeds
  • a thumb of ginger
Instructions:
Combine all the listed ingredients in a blender and blend till you get creamy smoothie with incredible taste.
 
 




Friday, November 7, 2014

Delays hinder Ebola genomics

Infectious Diseases

As the Ebola epidemic sweeps through West Africa, scientists lack key genetic data to answer a question that has provoked much worried speculation: Is the virus becoming more transmissible or more deadly, or acquiring changes that would let it evade diagnostic tests or vaccines? Thousands of blood samples from Ebola patients have been sitting in refrigerators in Africa and Europe, untouched. And, as Science went to press, the few groups that have new sequence data have not made them public.
                 
Researchers are eager for a close-up look at how the virus may be evolving. Besides answering questions about its virulence, genomic data could reveal details about the epidemic, including hotspots of transmission and how often the virus has escaped from its animal reservoir to humans, says Andrew Rambaut, an evolutionary biologist who studies infectious diseases at the University of Edinburgh in the United Kingdom. “If it can be done on a timely basis, you can really get insight into what is going on.” But faced with the all-consuming public health response to the epidemic, bureaucratic obstacles, and chaotic record keeping, scientists have had to wait.
 
A changeable foe: The proteins that enable the Ebola virus to spread and cause disease are encoded by seven protein-sheathed genes. Mutations in the gene for the glycoprotein could affect the efficacy of antibody-based treatments. Other genes, such as those for polymerase and transcription factor VP30, can affect how quickly the virus replicates.                     
ILLUSTRATION: VIRALZONE/SIB SWISS INSTITUTE OF BIOINFORMATICS
In August, the world got its closest molecular look at the virus so far, when researchers published 99 genomes of viruses from 78 patients who were infected in or around Kenema, Sierra Leone, from late May to mid-June. That analysis, published online on 28 August in Science, included more than half of the known cases in Sierra Leone at the time.
                 
The sequence data, which the researchers deposited in public databases as soon as they were generated, showed how the virus changed as it passed from person to person at the start of the Sierra Leone outbreak, with one variant disappearing as another gained prominence among later cases. Since then, the outbreak has exploded into an epidemic—it has now sickened more than 13,000 and killed 5000—but the team, led by Pardis Sabeti and Stephen Gire at the Broad Institute in Cambridge, Massachusetts, has been unable to import any new samples from Sierra Leone. Other groups have been similarly stymied.
                 
Several researchers say that getting export approval from beleaguered health ministries has been tough. “I can only assume that the system is so overwhelmed that processing samples beyond simple diagnostic tests is not high priority,” says Rambaut, who was a co-author on the August sequence paper.
                 
Stephan Günther, a virologist at the Bernhard Nocht Institute for Tropical Medicine (BNI) in Hamburg, Germany, and coordinator of the European Mobile Laboratory (EMLab) consortium, says they have been unable to export samples from Nigeria or Liberia. But BNI has been receiving samples from the EMLab mission in Guinea since March and now has close to 3000, he says. (BNI is storing them in its high-security lab on behalf of the Guinean government, which still owns them.)
                 
Günther and his colleagues have not yet sequenced any of the samples, because consortium staff members have been busy supporting diagnostic centers in affected countries. “We are all busy with fieldwork,” Günther says. “Personnel is a bit of a problem.” That should ease, he says, with a new €1.7 million ($2.1 million) award from the European Union to EMLab for Ebola research.
                 
In France, the Institut Pasteur, where early samples from Guinea were first identified as Ebola, also experienced delays exporting samples from West Africa but plans to start sequencing new viral genomes soon. The institute's lab in Dakar recently received samples from Guinea, says Felix Rey, who is coordinating the institute's Ebola task force in Paris. The Dakar lab will extract RNA and send it to Paris for high-throughput sequencing. “We hope to have sequenced viruses from a couple of hundred samples in the next month or so,” Rey says.
                 
Sabeti and her colleagues should soon get their Sierra Leone samples, which finally were cleared for export and arrived in the United States last week, says Robert Garry of Tulane University in New Orleans, Louisiana, who collaborates with Sabeti. But to speed the research, she and her colleagues are trying to secure funding to send sequencing machines to West Africa. “If we can't get the samples here, we will get the sequencers there,” she says. The effort will build on the researchers' ongoing work with the African Centre of Excellence for Genomics of Infectious Diseases, a consortium of universities and research institutes in the United States, Nigeria, Sierra Leone, and Senegal, which for several years has been training African researchers in the use of genomics tools.
                 
Blood samples alone aren't enough for genomic studies. Investigators need to know at least where each patient was from; ideally they will also have clinical information such as whether he or she survived. “Only when you have those pieces of information can you come up with useful information from the sequences,” Günther says—and because of spotty record keeping, that information is often missing. He and his colleagues are working with Doctors Without Borders and the World Health Organization to match samples with relevant information, but setting up a database is time- and labor-intensive, he says.
                 
Meanwhile, the few Ebola virus sequences that have been generated since that initial batch from Sierra Leone have not been made public. The U.S. Centers for Disease Control and Prevention (CDC) announced in August that it had sequenced Ebola virus samples from patients treated in the United States. But the data have not been placed in any public sequence repositories. That's unfortunate, Rambaut says. “As the U.S. cases are from Liberia and we have zero sequences from there so far, even one genome would be interesting and potentially useful,” he says. Duncan MacCannell, a bioinformatics specialist at CDC in Atlanta, told Science that the sequences had been “actively shared and discussed with the public health community.” He says CDC is working to submit the sequences to a public database.
                 
New sequences probably won't show that the virus is finding new ways to attack or spread, Rambaut says. Instead, the prize is a clearer picture of the outbreak. A cluster of closely related viruses might point to a hotspot of transmission, he says, while unexpectedly diverse sequences would suggest that many cases were going undetected. Sequence data could also help researchers tell whether there has been more than one animal-to-human introduction.
                 
Earlier sequence data did suggest that the virus was undergoing rapid changes, but that is not necessarily a sign that it is becoming more dangerous, Rambaut says. “Most RNA viruses mutate quickly, but adaptation and functional change is a much slower process.” Measles mutates nearly as quickly as Ebola virus, but it has never evolved to escape the lifelong immunity of previously infected or vaccinated individuals. Even in an outbreak this big, Rambaut says, “I see no reason to suspect the virus will radically change its life cycle or its mode of transmission.”
 
 
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Science
Vol. 346 no. 6210 pp. 684-685
DOI: 10.1126/science.346.6210.684
 
http://www.sciencemag.org/content/346/6210/684.full
 
 

Thursday, November 6, 2014

A census of human RNA-binding proteins

Nature Reviews Genetics | Analysis

 Analyses of post-transcriptional gene regulation and the protein factors involved have been substantially driven forward by technological advances such as next-generation sequencing and modern protein mass spectrometry. This Analysis provides a census of 1,542 manually curated RNA-binding proteins, for which the authors have investigated interactions with different classes of RNA, evolutionary conservation, abundance and tissue-specific expression.
 

Abstract
 
Post-transcriptional gene regulation (PTGR) concerns processes involved in the maturation, transport, stability and translation of coding and non-coding RNAs. RNA-binding proteins (RBPs) and ribonucleoproteins coordinate RNA processing and PTGR. The introduction of large-scale quantitative methods, such as next-generation sequencing and modern protein mass spectrometry, has renewed interest in the investigation of PTGR and the protein factors involved at a systems-biology level. Here, we present a census of 1,542 manually curated RBPs that we have analysed for their interactions with different classes of RNA, their evolutionary conservation, their abundance and their tissue-specific expression. Our analysis is a critical step towards the comprehensive characterization of proteins involved in human RNA metabolism. 

Key points

  • Recent advances in next-generation sequencing methods and quantitative mass spectrometry have renewed the interest in RNA biology and the genome-wide investigation of post-transcriptional gene regulatory proteins. A global census that systematically lists the number of factors involved in post-transcriptional gene regulation (PTGR) is currently not available. Here, we provide an overall summary of the proteins involved in interactions with all classes of RNAs based on our current knowledge of PTGR; this will guide future systems-wide studies of PTGR.
  • RNA-binding proteins (RBPs) are evolutionarily deeply conserved, and their structural domains diversified early in evolution.
  • RBPs are among the most abundant proteins in the cell and are generally ubiquitously expressed, which mirrors their central and conserved role in gene regulation.
  • Only ~2% of RBPs are tissue-specific, and most of these are mRNA- and non-coding RNA-binding proteins.
  • Diseases involving RBPs show characteristic phenotypes depending on the type of RNA (for example, mRNA, ribosomal RNA and tRNA) predominantly bound by the RBPs.
  • Correlated expression of RBPs across developmental processes can identify factors in shared PTGR pathways.

Introduction

Post-transcriptional gene regulation (PTGR) is essential to sustain cellular metabolism, coordinating maturation, transport, stability and degradation of all classes of RNAs (Fig. 1). Mechanistically, each of these events is regulated by the formation of different ribonucleoprotein (RNP) complexes with RNA-binding proteins (RBPs) at their core. Initially, it was thought that RNA mainly served either as the template, in the form of mRNA, or as an adaptor or a structural component during protein synthesis, provided by tRNAs and ribosomal RNAs. With the discovery of catalytic RNAs and a multitude of non-coding RNA (ncRNA) species, it was recognized that RNA is a highly versatile molecule that carries out many regulatory functions in the cell, either by acting as a guide to recognize RNA sequence motifs or RNA recognition elements present in their target RNAs, or by functioning as a scaffold and assembly platform for recruiting proteins to act synergistically1. The characterization of the proteins transiently or stably interacting with RNAs is a prerequisite for the dissection of RNA regulatory processes.
Figure 1: Overview of the main post-transcriptional gene regulation pathways in eukaryotes.
An overview is given for the biogenesis, decay and function of the most abundant RNAs: tRNAs, ribosomal RNAs, small nuclear RNAs (snRNAs), small nucleolar RNAs (snoRNAs), mRNAs, microRNAs (miRNAs), PIWI-interacting RNAs (piRNAs) and long non-coding RNAs (lncRNAs). Processes are described from left to right. Referenced gene names and complexes in the figure are listed in Supplementary information S3 (table) and within the listed references. a | tRNAs are transcribed by RNA polymerase III (Pol III); the 5′ leader and 3′ trailer sequences are removed, introns are spliced, and the ends are joined. CCA nucleotides are added to 3′ ends, and nucleotide modifications — such as methylation (M), pseudouridylation (ψ) and deamination of adenosines to inosines (I) — are introduced before tRNA aminoacylation195. b | The 5S rRNA is transcribed by Pol III, whereas 28S, 18S and 5.8S rRNAs are transcribed as one transcript by Pol I. The precursor is processed by RNA exonucleases, endonucleases and the ribonucleoprotein (RNP) RNase MRP, guided by U3 small nucleolar RNP (snoRNP). Nucleotide modifications are introduced by snoRNPs. rRNAs are assembled together with ribosomal proteins into ribosomal precursor complexes in the nucleus and transported to the cytoplasm, where they mature to functional ribosomes92, 196, 197. c | Most snRNAs are transcribed by Pol II, capped and processed in the nucleus. When exported to the cytoplasm, they undergo methylation and assemble with LSM proteins into small nuclear ribonucleic particles (snRNPs) in a process aided by the survival motor neuron 1 (SMN1). These snRNPs are re-imported into the Cajal body (CB) within the nucleus, where they undergo final maturation and snRNP assembly81. U6 and U6atac snRNAs are transcribed by Pol III and are alternatively processed in the nucleus and the nucleolus198. Mature snRNPs form the core of the spliceosome. d | snoRNAs and small Cajal body-specific RNAs (scaRNAs) are processed from mRNA introns, capped and modified before they assemble into snoRNPs or scaRNPs in the CB. snoRNPs and scaRNPs carry out methylation and pseudouridylation of rRNAs, snoRNAs and snRNAs, or function in rRNA processing (for example, processing of U3 snoRNA)81. e | mRNAs are transcribed by Pol II, capped, spliced, edited and polyadenylated in the nucleus. Correctly matured mRNAs are exported into the cytoplasm. Regulatory RNA-binding proteins (RBPs) control correct translation, monitor stability, decay and localization, and shuttle mRNAs between actively translating ribosomes, stress granules and P bodies37, 141, 142, 199, 200, 201, 202. f | miRNAs are either transcribed from separate genes by Pol II as long primary miRNA (pri-miRNA) transcripts or expressed from mRNA introns (mirtrons) and processed into hairpin pre-miRNAs in the nucleus. After transport into the cytoplasm, they are processed into 21-nucleotide-long double-stranded RNAs. One strand is incorporated into Argonaute (AGO) proteins (forming miRNA-containing RNPs (miRNPs)) and guides them to partially complementary target mRNAs to recruit deadenylases and repress translation203. g | piRNAs are ~28-nucleotides-long, germline-specific small RNAs. Primary piRNAs are directly processed and assembled from long, Pol II-transcribed precursor transcripts, whereas secondary piRNAs are generated in the 'ping pong' cycle by the cleavage of complementary transcripts by PIWI proteins. Mature piRNAs are 2′-O-methylated and incorporated into PIWI proteins. The piRNA–PIWI complexes (piRNPs) silence transposable elements (TEs) either by endonucleolytic cleavage in the cytoplasm or through transcriptional silencing at their genomic loci in the nucleus107. h | Most lncRNAs are transcribed and processed in a similar way to mRNAs. Nuclear lncRNAs play an active part in gene regulation by directing proteins to specific gene loci, where they recruit chromatin modification complexes and induce transcriptional silencing or activation185. Other non-coding RNAs (for example, 7SK RNA) regulate transcription elongation rates204 or induce the formation of paraspeckles (PS)205. Cytoplasmic non-coding RNAs can modulate mRNA translation206. i | Incorrectly processed RNAs are recognized by several complexes in the nucleus and cytoplasm that initiate and execute their degradation207, 208. CPSF, cleavage and polyadenylation specificity factor; EJC, exon junction complex; hnRNP, heterogeneous nuclear RNP; NGD, no-go decay; NMD, nonsense-mediated RNA decay; NSD, non-stop decay; PABP, poly(A)-binding protein.
The recent development of large-scale quantitative methods, especially next-generation sequencing and modern protein mass spectrometry2, 3, 4, 5, 6, facilitates genome-wide identification of RBPs, their protein cofactors and their RNA targets. Deep-sequencing approaches using immunoprecipitation of RBPs, with or without in vivo RNA–protein crosslinking (crosslinking and immunoprecipitation followed by sequencing (CLIP–seq) and RNA immunoprecipitation and sequencing (RIP-seq), respectively)2, 3, as well as in vitro evolution methods7, 8, revealed the binding ranges of RBPs and showed that many RBPs bind to thousands of transcripts in cells at defined binding sites.
 
Despite the growing amount of data collected on RBPs, many questions remain to be answered. Researchers still have an incomplete understanding of how binding specificity is achieved and how the regulatory function of an individual RBP is influenced by synergy and competition with other RBPs. We argue that a balanced approach of detailed biochemical and functional studies paired with complex systems-biology methods will ultimately lead to an understanding of the principles underlying PTGR networks.
 
Although much of the published research centres on mRNA-binding proteins (mRBPs) and messenger RNPs, PTGR is not limited to mRNA maturation and regulation; it also includes processes acting on ncRNAs. In this respect, it may not be surprising that, among the ~150 RBPs listed in the Online Mendelian Inheritance in Man (OMIM) database as being linked to human diseases, only one-third are described as directly binding mRNAs; the others target diverse ncRNAs9.
 
Here, we present a census of 1,542 human RBPs that interact with all known classes of RNAs, detail their families and evolutionary conservation across species, and analyse their expression across tissues and their potential roles in developmental processes. This catalogue of RBPs will guide future analyses of RBPs and provide an overview of known RNA pathways and their protein components.
 
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Conclusions

A census of human RBPs is essential for organizing our current molecular and genetic understanding of the role of RNA in general gene expression and PTGR. This catalogue provides researchers with a newly curated resource to guide their investigations of PTGR processes and to systematically study RBPs. An analogous catalogue that assesses the abundance of all expressed RNAs (that is, the RBP targets) and that classifies them across tissues and cell types is still missing. Such a catalogue would be a useful complementary document to this census.
 
Of the ~20,500 protein-coding genes in humans, we determined that 7.5% are directly involved in RNA metabolism by binding to and/or processing RNA, or by constituting essential components of RNPs. RBPs are structurally diverse and include many distinct classes of RBDs. Indeed, whereas the three most abundant DNA-binding domains account for 80% of all TFs58, the three most abundant RBDs accounted for only 20% of all RBPs in our census. Based on target-RNA categorization, we found that nearly 50% of RBPs acted in mRNA metabolic pathways and 11% constituted ribosomal proteins, while the rest were involved in the diverse number of ncRNA metabolic processes. The target-based categorization of RBPs can assist interpretation of disease phenotypes and mutations emerging from rapidly increasing patient genome sequencing, and may guide future functional studies. When considering abundances, we found that ribosomal proteins and mRBPs were the most abundant RBPs in the cell. Nevertheless, most RBPs were ubiquitously expressed at higher levels than the residual protein-coding transcriptome, and up to 20% of the total expressed protein-coding transcripts encoded RBPs. Therefore, not only is RNA metabolism one of the most conserved cellular processes, but it also has one of the highest protein copy number demands.
 
Many details of PTGR remain to be revealed, including the dissection of newly discovered RNA regulatory processes1, 184, 185. The investigation of PTGR networks is aided by the rapid development of next-generation sequencing-based methods, such as RIP- and CLIP-based methods2, 3, 14, ribosome profiling186, in vivo RNA secondary structure profiling187, 188, 189, small and long RNA-seq6, 190, 191, and 3′-end sequencing methods that profile alternative polyadenylation sites and poly(A) tail lengths158, 192, 193, 194. These studies reveal an unanticipated complexity in RBP binding and targeting, and highlight the need to experimentally dissect PTGR networks in various cellular systems.

Published online

http://www.nature.com/nrg/journal/vaop/ncurrent/full/nrg3813.html?WT.mc_id=FBK_NatureReviews