Showing posts with label Factors. Show all posts
Showing posts with label Factors. Show all posts

Tuesday, 30 July 2013

Protein moulds RNA to ensure that activating factors can hold on to it

Main Category: Genetics
Article Date: 30 Jul 2013 - 0:00 PDT Current ratings for:
Protein moulds RNA to ensure that activating factors can hold on to it
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X chromosomes are very special genetic material. They differ in number between men and women. To achieve equality between sexes, one out of two X chromosomes in women is silenced. In flies, the opposite happens: in male flies, the only available X chromosome is highly activated, to compensate for the absence of the second X-chromosome. Researchers from the Max Planck Institute of Immunobiology and Epigenetics (MPI-IE) in Freiburg have now shown how the RNA molecules and proteins involved in the activation find and stick to each other. Similar to a monkey that grabs a liana with hands and feet, one of the proteins holds on to the RNA. Then it moulds the molecular liana with its hands and thus generates a dynamic RNA - protein meeting place.

Just a few years ago, they were assumed to be genetic trash: DNA sequences that are not translated into proteins. But this has rapidly changed during the last years. Nowadays, it is widely known among scientists that much of the DNA is transcribed into RNA that, in turn, can act as gene regulator and structural element. Also in the regulation of sex chromosomes, RNA plays a central role. In both female humans and male flies one X chromosome is covered by a protein-RNA complex. In humans, this leads to chromosome silencing, while in flies it results in a double activation of the chromosome. Misregulation is lethal. Although known for many years, the interaction between the central proteins and the distinct role of the RNA strand was unclear.

Asifa Akhtar of the MPI-IE and her team now unravelled the function of the RNA and the interaction of the proteins. The protein MLE that is known to be a central player in X chromosome activation binds to the RNA in a very special manner. Like a monkey that grabs a liana with hands and feet, the protein grabs the RNA in two different ways. While one site is a simple anchor (the feet), the other (the hands) changes the form of the RNA. "The protein MLE moulds the RNA strand. This allows MLE to bind the RNA in a dynamic manner", says Asifa Akhtar, head of the study. Like one monkey helping the other to catch the liana MLE could thus help other proteins to grab the RNA strand. Thus, the whole X chromosome can be covered by the RNA-protein complex.

During his PhD work, first author Ibrahim Ilik investigated why MLE was found at the same places on the X chromosome but did not directly interact with other proteins. "The biochemical and the biological results seemed to point in different directions in the beginning", says Ilik. "But when we realised that the proteins bind highly specifically to certain regions of the very long RNA, this was a very exciting moment."

The researchers also found that individual mutations in the RNA hardly harm the protein-RNA binding. Only multiple mutations lead to a non-functional RNA and thus to lethality of male flies. "The system is very robust for evolutionary influences. This shows how important it is for the survival of the animals. In this, RNA could provide the necessary plasticity", says Akhtar. The scientists now want to explore the evolutionary conservation of the RNA-protein system and its equivalent in mammals.

Scientists at the Max Planck Institute of Immunobiology and Epigenetics (MPI-IE) in Freiburg investigate the development of the immune system over the course of evolution and during lifetime. They analyse genes and molecules that are important for immune cells maturation and activation. Researchers in the field of epigenetics investigate the inheritance of traits that are not caused by changes in the DNA sequence. Epigenetic research is expected to lead to a better understanding of many complex diseases, such as cancer and metabolic disorders.

Article adapted by Medical News Today from original press release. Click 'references' tab above for source.
Visit our genetics section for the latest news on this subject. Please use one of the following formats to cite this article in your essay, paper or report:

MLA

Max-Planck-Gesellschaft. "Protein moulds RNA to ensure that activating factors can hold on to it." Medical News Today. MediLexicon, Intl., 30 Jul. 2013. Web.
30 Jul. 2013. APA

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'Protein moulds RNA to ensure that activating factors can hold on to it'

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Saturday, 27 July 2013

Factors that link HPV and oesophageal cancer

Main Category: Cervical Cancer / HPV Vaccine
Also Included In: Ear, Nose and Throat;  Cancer / Oncology
Article Date: 26 Jul 2013 - 1:00 PDT Current ratings for:
Factors that link HPV and oesophageal cancer
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The human papillomavirus (HPV) triples the risk of people developing yet another cancer, oesophageal squamous cell carcinoma (OSCC), according to research led by University of New South Wales (UNSW) academics.

In addition to causing cervical, anal and genital cancers, HPV has more recently been found to cause some head and neck cancers.

"One of the main issues is this form of oesophageal cancer is usually diagnosed quite late and so has a very high mortality," says the first author of the paper, Dr Surabhi Liyanage, a PhD candidate with the School of Public Health and Community Medicine, UNSW Medicine.

OSCC is the most common of two types of oesophageal cancer. While it is rare in Australia, it is the sixth highest cause of cancer-related deaths world-wide. It is particularly prevalent in China, South Africa and Iran among men in their mid-70s to 80s. It is unknown why the prevalence is so high in those countries, but it is thought to be linked to dietary, lifestyle and environmental factors.

"HPV is another factor which we can add to a long list of causes of OSCC," says Dr Liyanage. "Smoking and alcohol are the main causes, as well as the consumption of extremely hot liquids, lots of red meat and possibly environmental toxins in the diet."

The findings, published today in PLOS ONE, could have implications for vaccination programs around the world.

"This is an important new finding which resolves a previous uncertainty," says senior author, UNSW Professor Raina MacIntyre.

"Given that the most common two cervical cancer-causing HPVs are now preventable by early vaccination, this may be significant in countries where OSCC is frequently found," says Professor MacIntyre, head of the School of Public Health and Community Medicine.

"In China, it is one of the leading causes of cancer death, so Chinese health authorities could consider this in any deliberations they are having about potential benefits of HPV vaccination in their population," she says.

Currently, HPV vaccinations are used most commonly in young people in developed countries to prevent cervical cancer.

"Time will tell whether our universal HPV vaccination program has any additional benefit in prevention of cancers other than cervical cancer," says Professor MacIntyre.

"The findings from this meta-analysis should rekindle the debate about looking at the potential causative role for oncogenic HPVs in oesophageal cancer," says another of the authors and a leader in HPV vaccination, Dr Suzanne Garland, from the Royal Women's Hospital in Melbourne.

"These findings will assist the expert group, International Agency for Research on Cancer (IARC), which examines evidence for potential oncogenic roles in various cancers," says Dr Garland. "We look forward to a potential review by IARC of the meta-analysis and other studies in establishing a role or not for HPV."

Article adapted by Medical News Today from original press release. Click 'references' tab above for source.
Visit our cervical cancer / hpv vaccine section for the latest news on this subject. Please use one of the following formats to cite this article in your essay, paper or report:

MLA

University of New South Wales. "Factors that link HPV and oesophageal cancer." Medical News Today. MediLexicon, Intl., 26 Jul. 2013. Web.
27 Jul. 2013. APA

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'Factors that link HPV and oesophageal cancer'

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View the original article here

Friday, 12 July 2013

Technology Initiative To Identify Risk Factors Underlying Military Suicide Crisis Using Predictive Analytics

Main Category: Veterans / Ex-Servicemen
Also Included In: Mental Health
Article Date: 11 Jul 2013 - 2:00 PDT Current ratings for:
Technology Initiative To Identify Risk Factors Underlying Military Suicide Crisis Using Predictive Analytics
not yet ratednot yet rated

Patterns and Predictions, a predictive analytics company, has announced its Big Data initiative "The Durkheim Project*" - to predict suicide at scale using its machine learning data fabric built on technologies from Attivio and Cloudera.

Patterns and Predictions is now providing technology enabling opt-in participation from more than 100,000 U.S. veterans to build a 'big' medical database that will help military mental health experts fight a complex and challenging enemy: the alarming incidence of suicide among veterans.

Cited by a 2012 TIME Magazine cover story ("One A Day"), as a problem of epidemic proportions, suicide rates among veterans are roughly double those of adults in the general U.S. population. TIME also noted that military efforts have struggled to successfully address the suicide crisis due, in part, to a lack of understanding why nothing has worked to stop it.

Patterns and Predictions' founder Chris Poulin, has been working with Dartmouth researchers to address this problem since 2010. "The next generation of predictive analytics tools gives scientific and clinical investigators new hope and resources for solving even the most intractable problems," said Poulin.

In 2011, Patterns and Predictions engaged Big Data analytics experts Attivio and Cloudera and secured a contract with the Defense Advanced Research Projects Agency (DARPA). Concluded in February 2013, staff from Patterns and Predictions, Dartmouth, and the U.S. Veterans Administration conducted an investigation to validate the machine learning data fabric. Initial findings indicated the data model's predictive accuracy was statistically significant (consistent accuracies of 65 percent or more) in predicting suicidality risk among a veteran control group.

Having confirmed the theoretical underpinnings of this work, Patterns and Predictions is leading "Phase 2" technology for The Durkheim Project, a tightly integrated Big Data initiative with one objective: suicidality prediction at scale. "The promise of Durkheim lies in its ability to collect and monitor a diverse repository of complex data, with the hope of eventually providing a real-time triage of interventional actions upon detection of a critical event," said Poulin. At this time, the associated medical study (Dartmouth CPHS #23781) is authorized as observation only and non-interventional.

Tightly Integrated Technologies

Durkheim's event-driven predictions are made possible by Patterns and Predictions' integration of its suicide risk prediction technology (including a Facebook® app, and mobile app for iPhone® and Android®) and database connections with complementary capabilities from Attivio, the leading unified information access platform, and Cloudera, the category leader in Apache Hadoop-based software and services for the enterprise.

Attivio: Attivio provided code that enables the indexing and dynamic joining of diverse information on a massive scale to make it highly accessible. "Attivio Active Intelligence Engine® offers a schema-less index and patented JOIN technology that our projects have relied on time and again to power our cutting-edge text analytics," said Poulin.

Cloudera: Patterns and Predictions engaged Cloudera Professional Services to co-develop code in the area of real-time prediction on CDH (Cloudera's Distribution Including Apache Hadoop), the market-leading open source distribution of Hadoop and related projects. "With Cloudera's unique software expertise, we can focus on making The Durkheim Project's risk assessments faster across larger data sets," said Poulin.

Article adapted by Medical News Today from original press release. Click 'references' tab above for source.
Visit our veterans / ex-servicemen section for the latest news on this subject.

In a July 2 statement, The U.S. Department of Veterans Affairs and Facebook, Inc. announced their participation in The Durkheim Project.

*About The Durkheim Project

“The Durkheim Project” is a medical non-profit initiative. It is named in honor of Emile Durkheim, a founding sociologist whose 1897 publication of “Suicide” defined early text analysis for suicide risk, as well as theoretical explanations. The Durkheim Project is comprised of a multi-disciplinary team of artificial intelligence and medical experts from private companies, The Geisel School of Medicine at Dartmouth, and the U.S. Department of Veterans Affairs. Together these professionals have formed a team dedicated to applied research on suicide. More information about the study - and additional background information - can be found at The Durkheim Project website: http://www.durkheimproject.org

Funding Support/Disclaimers

This material is based upon work supported by the Defense Advance Research Project Agency (DARPA), and Space Warfare Systems Center Pacific under Contract N66001-11-4006. Also supported by, the Intelligence Advanced Research Projects Activity (IARPA) via the Department of Interior National Business Center contract number N10PC20221. The opinions, findings and conclusions or recommendations expressed in this material are those of the authors(s) and do not necessarily reflect the views of the Defense Advance Research Program Agency (DARPA) and Space, the Naval Warfare Systems Center Pacific, IARPA, DOI/NBC, or the U.S. Government.

Patterns and Predictions

Please use one of the following formats to cite this article in your essay, paper or report:

MLA

Predictions, Patterns and. "Technology Initiative To Identify Risk Factors Underlying Military Suicide Crisis Using Predictive Analytics." Medical News Today. MediLexicon, Intl., 11 Jul. 2013. Web.
11 Jul. 2013. APA

Please note: If no author information is provided, the source is cited instead.


'Technology Initiative To Identify Risk Factors Underlying Military Suicide Crisis Using Predictive Analytics'

Please note that we publish your name, but we do not publish your email address. It is only used to let you know when your message is published. We do not use it for any other purpose. Please see our privacy policy for more information.

If you write about specific medications or operations, please do not name health care professionals by name.

All opinions are moderated before being included (to stop spam)

Contact Our News Editors

For any corrections of factual information, or to contact the editors please use our feedback form.

Please send any medical news or health news press releases to:

Note: Any medical information published on this website is not intended as a substitute for informed medical advice and you should not take any action before consulting with a health care professional. For more information, please read our terms and conditions.



View the original article here

Thursday, 11 July 2013

Technology Initiative To Identify Risk Factors Underlying Military Suicide Crisis Using Predictive Analytics

Main Category: Veterans / Ex-Servicemen
Also Included In: Mental Health
Article Date: 11 Jul 2013 - 2:00 PDT Current ratings for:
Technology Initiative To Identify Risk Factors Underlying Military Suicide Crisis Using Predictive Analytics
not yet ratednot yet rated

Patterns and Predictions, a predictive analytics company, has announced its Big Data initiative "The Durkheim Project*" - to predict suicide at scale using its machine learning data fabric built on technologies from Attivio and Cloudera.

Patterns and Predictions is now providing technology enabling opt-in participation from more than 100,000 U.S. veterans to build a 'big' medical database that will help military mental health experts fight a complex and challenging enemy: the alarming incidence of suicide among veterans.

Cited by a 2012 TIME Magazine cover story ("One A Day"), as a problem of epidemic proportions, suicide rates among veterans are roughly double those of adults in the general U.S. population. TIME also noted that military efforts have struggled to successfully address the suicide crisis due, in part, to a lack of understanding why nothing has worked to stop it.

Patterns and Predictions' founder Chris Poulin, has been working with Dartmouth researchers to address this problem since 2010. "The next generation of predictive analytics tools gives scientific and clinical investigators new hope and resources for solving even the most intractable problems," said Poulin.

In 2011, Patterns and Predictions engaged Big Data analytics experts Attivio and Cloudera and secured a contract with the Defense Advanced Research Projects Agency (DARPA). Concluded in February 2013, staff from Patterns and Predictions, Dartmouth, and the U.S. Veterans Administration conducted an investigation to validate the machine learning data fabric. Initial findings indicated the data model's predictive accuracy was statistically significant (consistent accuracies of 65 percent or more) in predicting suicidality risk among a veteran control group.

Having confirmed the theoretical underpinnings of this work, Patterns and Predictions is leading "Phase 2" technology for The Durkheim Project, a tightly integrated Big Data initiative with one objective: suicidality prediction at scale. "The promise of Durkheim lies in its ability to collect and monitor a diverse repository of complex data, with the hope of eventually providing a real-time triage of interventional actions upon detection of a critical event," said Poulin. At this time, the associated medical study (Dartmouth CPHS #23781) is authorized as observation only and non-interventional.

Tightly Integrated Technologies

Durkheim's event-driven predictions are made possible by Patterns and Predictions' integration of its suicide risk prediction technology (including a Facebook® app, and mobile app for iPhone® and Android®) and database connections with complementary capabilities from Attivio, the leading unified information access platform, and Cloudera, the category leader in Apache Hadoop-based software and services for the enterprise.

Attivio: Attivio provided code that enables the indexing and dynamic joining of diverse information on a massive scale to make it highly accessible. "Attivio Active Intelligence Engine® offers a schema-less index and patented JOIN technology that our projects have relied on time and again to power our cutting-edge text analytics," said Poulin.

Cloudera: Patterns and Predictions engaged Cloudera Professional Services to co-develop code in the area of real-time prediction on CDH (Cloudera's Distribution Including Apache Hadoop), the market-leading open source distribution of Hadoop and related projects. "With Cloudera's unique software expertise, we can focus on making The Durkheim Project's risk assessments faster across larger data sets," said Poulin.

Article adapted by Medical News Today from original press release. Click 'references' tab above for source.
Visit our veterans / ex-servicemen section for the latest news on this subject.

In a July 2 statement, The U.S. Department of Veterans Affairs and Facebook, Inc. announced their participation in The Durkheim Project.

*About The Durkheim Project

“The Durkheim Project” is a medical non-profit initiative. It is named in honor of Emile Durkheim, a founding sociologist whose 1897 publication of “Suicide” defined early text analysis for suicide risk, as well as theoretical explanations. The Durkheim Project is comprised of a multi-disciplinary team of artificial intelligence and medical experts from private companies, The Geisel School of Medicine at Dartmouth, and the U.S. Department of Veterans Affairs. Together these professionals have formed a team dedicated to applied research on suicide. More information about the study - and additional background information - can be found at The Durkheim Project website: http://www.durkheimproject.org

Funding Support/Disclaimers

This material is based upon work supported by the Defense Advance Research Project Agency (DARPA), and Space Warfare Systems Center Pacific under Contract N66001-11-4006. Also supported by, the Intelligence Advanced Research Projects Activity (IARPA) via the Department of Interior National Business Center contract number N10PC20221. The opinions, findings and conclusions or recommendations expressed in this material are those of the authors(s) and do not necessarily reflect the views of the Defense Advance Research Program Agency (DARPA) and Space, the Naval Warfare Systems Center Pacific, IARPA, DOI/NBC, or the U.S. Government.

Patterns and Predictions

Please use one of the following formats to cite this article in your essay, paper or report:

MLA

Predictions, Patterns and. "Technology Initiative To Identify Risk Factors Underlying Military Suicide Crisis Using Predictive Analytics." Medical News Today. MediLexicon, Intl., 11 Jul. 2013. Web.
11 Jul. 2013. APA

Please note: If no author information is provided, the source is cited instead.


'Technology Initiative To Identify Risk Factors Underlying Military Suicide Crisis Using Predictive Analytics'

Please note that we publish your name, but we do not publish your email address. It is only used to let you know when your message is published. We do not use it for any other purpose. Please see our privacy policy for more information.

If you write about specific medications or operations, please do not name health care professionals by name.

All opinions are moderated before being included (to stop spam)

Contact Our News Editors

For any corrections of factual information, or to contact the editors please use our feedback form.

Please send any medical news or health news press releases to:

Note: Any medical information published on this website is not intended as a substitute for informed medical advice and you should not take any action before consulting with a health care professional. For more information, please read our terms and conditions.



View the original article here