Tuesday, December 10, 2013

What is a laboratory mouse?

What is a laboratory mouse? Jackson, UNC researchers reveal the details


Bar Harbor, Maine -- Mice and humans share about 95 percent of their genes, and mice are recognized around the world as the leading experimental model for studying human biology and disease. But, says Jackson Laboratory Professor Gary Churchill, Ph.D., researchers can learn even more "now that we really know what a laboratory mouse is, genetically speaking."

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Churchill and Fernando Pardo-Manuel de Villena, Ph.D., of the University of North Carolina, Chapel Hill, leading an international research team, created a genome-wide, high-resolution map of most of the inbred mouse strains used today. Their conclusion, published in Nature Genetics: Most of the mice in use today represent only limited genetic diversity, which could be significantly expanded with the addition of more wild mouse populations.

The current array of laboratory mouse strains is the result of more than 100 years of selective breeding. In the early 20th century, America's first mammalian geneticists, including Jackson Laboratory founder Clarence Cook Little, sought to understand the genetic processes that lead to cancer and other diseases. Mice were the natural experimental choice as they breed quickly and prolifically and are small and easy to keep.

Lacking the tools of molecular genetics, those early scientists started by tracking the inheritance of physical traits such as coat color. A valuable source of diverse-looking mouse populations were breeders of "fancy mice," a popular hobby in Victorian and Edwardian England and America as well as for centuries in Asia.

In their paper, Churchill and Pardo-Manuel de Villena report that "classical laboratory strains are derived from a few fancy mice with limited haplotype diversity." In contrast, strains that were derived from wild-caught mice "represent a deep reservoir of genetic diversity," they write.

The team created an online tool, the Mouse Phylogeny Viewer, for the research community to access complete genomic data on 162 mouse strains. "The viewer provides scientists with a visual tool where they can actually go and look at the genome of the mouse strains they are using or considering, compare the differences and similarities between strains and select the ones most likely to provide the basis for experimental results that can be more effectively extrapolated to the diverse human population," said Pardo-Manuel de Villena.

"As scientists use this resource to find ways to prevent and treat the genetic changes that cause cancer, heart disease, and a host of other ailments, the diversity of our lab experiments should be much easier to translate to humans," he noted.

Churchill and Pardo-Manuel de Villena have been working for almost a decade with collaborators around the world to expand the genetic diversity of the laboratory mouse. In 2004 they launched the Collaborative Cross, a project to interbreed eight different strains--five of the classic inbred strains and three wild-derived strains. In 2009 Churchill's lab started the Diversity Outbred mouse population with breeding stock selected from the Collaborative Cross project.

The research team estimates that the standard laboratory mouse strains carry about 12 million single nucleotide polymorphisms (SNPs), single-letter variations in the A, C, G or T bases of DNA. The Collaborative Cross mice deliver a whopping 45 million SNPs, as much as four times the genetic variation in the human population. "All these variants give us a lot more handles into understanding the genome," Churchill says.

"This work creates a remarkable foundation for understanding the genetics of the laboratory mouse, a critical model for studying human health," said James Anderson, Ph.D., who oversees bioinformatics grants at the National Institutes of Health. "Knowledge of the ancestry of the many strains of this invaluable model vertebrate will not only inform future experimentation but will allow a retrospective analysis of the huge amounts of data already collected."
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Other team members include Hyuna Yang, Ph.D., from The Jackson Laboratory; Leonard McMillan, Ph.D., two graduate students Jeremy Wang and Catherine Welsh from the UNC-Chapel Hill Department of Computer Science; Timothy Bell, Ryan Buus and graduate student John Didion from the UNC-Chapel Hill Department of Genetics, UNC Lineberger and the Carolina Center for Genome Sciences; Francois Bonhomme, Ph.D., and Pierre Boursot, Ph.D., from the Université Montpellier (France); Alex Yu, Ph.D., from the National Taiwan University; Michael Nachman, Ph.D., from the University of Arizona; Jaroslav Pialek, Ph.D., from the Academy of Sciences of the Czech Republic, and Priscilla Tucker, Ph.D., from the University of Michigan.

The research was supported by the National Institute of General Medical Sciences (part of the National Institutes of Health), and several additional National Institutes of Health grants, a Czech Science Foundation grant and a University of North Carolina Bioinformatics and Computational Biology training grant.

Yang et al.: Subspecific origin and haplotype diversity in the laboratory mouse. Nature Genetics, advance online publication Sunday, May 29, 2011, http://dx.doi.org/10.1038/847.

Sunday, December 8, 2013

What is your heart attack risk?

What is your heart attack risk?


Researchers in India have carried out a data mining exercise to determine which are the most important risk factors in increasing the chances of an individual suffering a heart attack. Writing in the International Journal of  Biomedical  Engineering and Technology, they confirm that the usual suspects high blood cholesterol, intake of alcohol and passive smoking play the most crucial role in "severe", "moderate" and "mild" cardiac risks, respectively.

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Subhagata Chattopadhyay of the Camellia Institute of Engineering in Kolkata adds that being male aged between 48 and 60 years are exposed to severe and moderate risk by virtue of their age and gender respectively, whereas women over 50 years old are effected by mild risk in the absence of the other factors.

Medical prognosis is a highly subjective art as is determining risk for particular health events, such as heart attack. After all, clinical history, symptoms and signs rarely follow a linear path and their interpretation at the individual level by doctor does not usually conform to the rules of epidemiology - personal intuition, emotions, logic and experience all conspire to confound the conclusion drawn for each patient at a given time under a particular set of circumstances.

The use of computational data mining techniques that allow researchers to extract interesting and meaningful information from real-life clinical data could remove at least some aspect of the subjectivity of clinical prognosis and allow the epidemiology to work at the patient level more precisely. There have been data mining approaches tried before. However, they often have inherent problems in that the classification of the data for information retrieval is based on decision making learnt from examples set by doctors and so they incorporate the very subjectivity that Chattopadhyay hopes to avoid with his approach.

He has used 300 real-world sample patient cases with various levels of cardiac risk - mild, moderate and severe and mined the data based on twelve known predisposing factors: age, gender, alcohol abuse, cholesterol level, smoking (active and passive), physical inactivity, obesity, diabetes, family history, and prior cardiac event. He then built a risk model that revealed specific risk factors associated with heart attack risk.

"The essence of this work essentially lies in the introduction of clustering techniques instead of purely statistical modeling, where the latter has its own limitations in 'data-model fitting' compared to the former that is more flexible," Chattopadhyay explains. "The reliability of the data used, should be checked, and this has been done in this work to increase its authenticity. I reviewed several papers on epidemiological research, where I'm yet to see these methodologies, used."
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"Mining the risk of heart attack: a comprehensive study" in Int. J. Biomedical Engineering and Technology, 2013, 11, 394-410

News Release Source : http://www.eurekalert.org/pub_releases/2013-08/ip-wiy082113.php

Sunday, December 1, 2013

What is Modernism?

What is Modernism?


Author: Jyoti Bhusal


Modernism is a time in our history when traditional values began to change and literature became an outlet for the troubled and rebellious souls. Modernism attempted to rethink science, art, culture, ethics, philosophy and psychology. It attempted to the find new or hidden meaning in the human experience and had to deal with coming to terms with new ideas.

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Actually, the word ‘modernism' refers to the characteristics of the modern time and it is a new thought or practice which is called as modernism. Time after the 20th century, the modernism deliberated departure from tradition to modern. Modernism is a artistic and cultural movement with its roots in mid-19th century France, generally defined by new forms of art, architecture, music and literature emerging in the decades before 1914 as artists rejected 19th century artistic traditions such as romanticism.

Modernity actually refers to the modern age. It is the changed world, everything is changed from traditional to modern; traditional culture changed to modern culture. After Second World War the concept of modernism developed, reengineering, change, such term aroused. Firstly Europe culture entered in to the modernity, the style, living standard everything changed. We can give the example of fashion; it's also an important part of the modernity.

Modernism changed in every area, such as culture, fashion, industry, business. It gave opportunities to investors, engineers and designers and also provided the employment opportunities. It has a disadvantage too, it made people lazy, I mean people wants more facilities. Computer age made people not more creative.

From the above discussion we can summarize the term modernism;

1.As a term modernism refers to an experimental style of visual arts, literature and music.
2. Modernist work are often called avant-grade or unconventional and are preoccupied with formal issued rather than content
3. Several factors that contribute to Modernism are the losses of certainty and optimism in human progress and anxiety about future.

Article Source: http://www.articlesbase.com/publishing-articles/what-is-modernism-269796.html

About the Author

Jyoti Bhusal, Butwal Nepal

Currently: Zürich Switzerland