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Machine-learning how to create better AAV gene delivery vehicles


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IMAGE: In their machine learning-based capsid diversification strategy, the team focused on a 28 amino acid peptide within a segment of the AAV2 VP3 capsid protein that exposes the AAV capsid.
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Credit: Wyss Institute at Harvard University (original by Drew Bryant)
(Boston) Adeno-associated viruses (AAVs) have become promising vehicles for delivering gene therapies to defective tissues in the human body because they are non-pathogenic and can transfer therapeutic DNA into target cells. However, while the first gene therapy products approved by the Federal Drug Administration (FDA) use AAV vectors and others are likely to follow, AAV vectors still have not reached their full potential to meet gene therapeutic challenges. ....

United States , Boston University , University Of Massachusetts Medical School , Massachusetts Institute Of Technology , United Kingdom , Dana Farber Cancer Institute , Tufts University , Spaulding Rehabilitation Hospital , Ali Bashir , Eric Kelsic , Donald Ingber , Benjamin Boettner , Ninak Jain , Beth Israel Deaconess Medical Center , University Of Cambridge , Google Research , Wyss Institute , Wyss Institute Synthetic Biology , George Church Synthetic Biology , Lucyj Colwell At Google Research , Health Sciences , University Of Zurich , Drug Administration , Professor Of Genetics At Harvard Medical School , Arts Sciences , Harvard Wyss Institute For Biologically Inspired Engineering ,

Multi-model approach could help farmers prepare for, contain PEDV outbreaks


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Researchers from North Carolina State University used a three-model approach to trace the between-farm spread of porcine epidemic diarrhea virus (PEDV), as well as to analyze the efficacy of different control strategies in these scenarios. The approach may enable farmers to be more proactive in preventing the spread of PEDV and to optimize their efforts to control the disease.
PEDV is a virus that causes high mortality rates in preweaned piglets. The virus emerged in the U.S. in 2013 and by 2014 had infected approximately 50 percent of breeding herds. PEDV is transmitted by contact with contaminated fecal matter.
We wanted to compare three different models by using actual outbreak data in order to test their efficacy, says Gustavo Machado, assistant professor of population health and pathobiology at NC State and corresponding author of a paper describing the work. Then we could use the data to determine the best intervention strategy in each case. ....

Gustavo Machado , Jason Galvis , Cesar Corzo , Joaquin Prada , Chris Jones , University Of Surrey , University Of Minnesota , Machado Laboratory , Carolina State University , Swine Health Information Center , Nc State Center , North Carolina State University , Geospatial Analytics , Emerging Diseases , Porcine Epidemic Diarrhea Virus , Mathematics Statistics , Algorithms Models , குஸ்டாவோ மச்சாடோ , ஜேசன் கால்விஸ் , சிஇஎஸ்ஏஆர் கோர்சோ , ஜொஅஃஉஇந் பிரடா , கிறிஸ் ஜோன்ஸ் , பல்கலைக்கழகம் ஆஃப் சர்ரே , பல்கலைக்கழகம் ஆஃப் மினசோட்டா , மச்சாடோ ஆய்வகம் , கரோலினா நிலை பல்கலைக்கழகம் ,

Affordable CRISPR app reveals unintended mutations at site of CRISPR gene repair


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Wilmington, DE, Feb. 11, 2020 -Scientists have developed an affordable, downloadable app that scans for potential unintended mistakes when CRISPR is used to repair mutations that cause disease. The app reveals potentially risky DNA alterations that could impede efforts to safely use CRISPR to correct mutations in conditions like sickle cell disease and cystic fibrosis. The development of the new tool, called DECODR (which stands for Deconvolution of Complex DNA Repair), was reported today in
The CRISPR Journal by researchers from ChristianaCare s Gene Editing Institute.
 
Our research has shown that when CRISPR is used to repair a gene, it also can introduce a variety of subtle changes to DNA near the site of the repair, said Eric Kmiec, Ph.D., director of ChristianaCare s Gene Editing Institute and the principal author of the study. We developed DECODR to accelerate the development of CRISPR gene therapies by providing a way to rapidly detect these ....

United States , University Of Delaware , Eric Kmiec , Byung Chun Yoo , Rohan Kanchana , Kevin Bloh , Gene Editing Institute , Communications Biology , Christianacare Gene Editing Institute , Gene Editing , Best Places , K 12 , Science Math , Algorithms Models , Medicine Health , Pharmaceutical Science , Nanotechnology Micromachines , ஒன்றுபட்டது மாநிலங்களில் , பல்கலைக்கழகம் ஆஃப் டெலாவேர் , எரிக் க்மிெக் , பியுங் சுன் யூ , ரோஹன் காஞ்சனா , கீந் திருத்துதல் நிறுவனம் , தகவல்தொடர்புகள் உயிரியல் , கீந் திருத்துதல் , சிறந்தது இடங்கள் ,

Scientists discovered new physical effects important for the ITER reactor operation


Credit: Peter the Great St.Petersburg Polytechnic University
The energy of the future lies in the area of the controlled thermonuclear fusion. The scientific group from Peter the Great St.Petersburg Polytechnic University (SPbPU), headed by Professor Vladimir Rozhansky, is directly involved in the establishment of the world s largest experimental thermonuclear reactor ITER. Researchers discovered new effects, which affect the energy flow in the reactor. The theoretical predictions were confirmed by the experiments on two tokamaks. The research results were published in the scientific journal
Plasma Physics and Controlled Fusion .
The scientific group of Polytechnic University is engaged in modeling of the edge plasma. The researchers aim to identify how and what types of impurities to enter the reactor, and how the power coming from the central zone to be redistributed, and so on. Scientists of SPbPU developed SOLPS-ITER transport code. Currently it is a ....

Vladimir Rozhansky , Max Planck Institute For Plasma Physics , Higher School Of Physics , Ioffe Institute , Polytechnic University , Great St Petersburg Polytechnic University , Professor Vladimir Rozhansky , Higher School , Max Planck Institute , Plasma Physics , Chemistry Physics Materials Sciences , Energy Fuel Non Petroleum , Nuclear Physics , Algorithms Models , Calculations Problem Solving , Computer Science , Software Engineering , Nanotechnology Micromachines , Atomic Physics , Molecular Physics , அதிக பள்ளி ஆஃப் இயற்பியல் , பாலிடெக்நிக் பல்கலைக்கழகம் , நன்று ஸ்டம்ப் பீட்டர்ஸ்பர்க் பாலிடெக்நிக் பல்கலைக்கழகம் , அதிக பள்ளி , பிளாஸ்மா இயற்பியல் , வேதியியல் இயற்பியல் பொருட்கள் அறிவியல் ,

Really random networks


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IMAGE: The colours represent the identities of nodes. The top row shows how many connections each node has. In the circle you can see all possible ways of making a connected.
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Credit: Szabolcs Horvat et al. 2020 / MPI-CBG / CSBD
Many natural and human-made networks, such as computer, biological or social networks have a connectivity structure that critically shapes their behavior. The academic field of network science is concerned with analyzing such real-world complex networks and understanding how their structure influences their function or behavior. Examples are the vascular network of our bodies, the network of neurons in our brain, or the network of how an epidemic is spreading through a society. ....

Szabolcs Horv , Max Planck Institute Of Molecular Cell Biology , Carl Modes , Systems Biology Dresden , Max Planck Institute , Molecular Cell Biology , Cell Biology , Mathematics Statistics , Algorithms Models , அமைப்புகள் உயிரியல் டிரெஸ்டன் , மூலக்கூறு செல் உயிரியல் , செல் உயிரியல் , கணிதம் புள்ளிவிவரங்கள் ,