The Experts below are selected from a list of 197268 Experts worldwide ranked by ideXlab platform

Max Kotlyar - One of the best experts on this subject based on the ideXlab platform.

  • Comparative Systems biology of human and mouse as a tool to guide the modeling of human placental pathology
    Molecular Systems Biology, 2009
    Co-Authors: Max Kotlyar, Andreas Evangelou, Vladimir Ignatchenko, Alex Ignatchenko, Kathie J Whiteley, Igor Jurisica, Lee S Adamson, Janet Rossant
    Abstract:

    Placental abnormalities are associated with two of the most common and serious complications of human pregnancy, maternal preeclampsia (PE) and fetal intrauterine growth restriction (IUGR), each disorder affecting ∼5% of all pregnancies. An important question for the use of the mouse as a model for studying human disease is the degree of functional conservation of genetic control pathways from human to mouse. The human and mouse placenta show structural similarities, but there have been no systematic attempts to assess their molecular similarities or differences. We collected protein and mRNA expression data through shot-gun proteomics and microarray expression analysis of the highly vascular exchange region, microdissected from the human and mouse near-term placenta. Over 7000 ortholog genes were detected with 70% co-expressed in both species. Close to 90% agreement was found between our human proteomic results and 1649 genes assayed by immunohistochemistry for expression in the human placenta in the Human Protein Atlas. Interestingly, over 80% of genes known to cause placental phenotypes in mouse are co-expressed in human. Several of these phenotype-associated proteins form a tight protein–protein interaction network involving 15 known and 34 novel candidate proteins also likely important in placental structure and/or function. The entire data are available as a web-accessible database to guide the informed development of mouse models to study human disease.

David F J Campbell - One of the best experts on this subject based on the ideXlab platform.

  • knowledge creation diffusion and use in innovation networks and knowledge clusters a Comparative Systems approach across the united states europe and asia
    2006
    Co-Authors: Elias G Carayannis, David F J Campbell
    Abstract:

    INTRODUCTION & CHAPTER SUMMARIES Meaning and Implications from a Knowledge System Perspective by Elias G. Caryannis and David F. J. Campbell Productive Reasearch Teams and Knowledge Generation by Frank T, Anbari and Stuart A. Umpley Re-Thinking Science: Mode 2 in Societal Context by Helga Nowotny, Peter Scott and Micheal Gibbons Knowledge Production: Competence Development and Innovation--Between Invention and Routine by Wolfgang H. Guttel Knowledge ProductionTrends in the United States, European Union and Japan by David F. Campbell Innovation in Clusters and the Liability of Foreignness of International R&D by Max von Zedtwitz and Philip Heimann Transatlantic Innovation Infrastructure Networks: Public-Private, EU-US R&D Partnerships by Elias G. Carayannis and Patrice Laget Measuring Science-Technology Interaction in the Knowledge-Driven Economy by Martin S. Meyer The Different Dynamics of the Biotechnology and ICT Sectors in Finland by Christopher Palmberg and Terttu Luukkonen The Transformatiom of the German System of Innovation: The Case of Biotechnology by Edgar Grande and Robert Kaiser Competence Centers in Germany: How Can Policy Makers Support the Improved Diffusion of Knowledge? by Susanne Buhrer Cooperations and Networking as Side Effect of the German Delphi '98 by Kerstin Cuhls Certification and Knowledge Management: An Approach Applied to the Space Transport Industry by Frederic Fontane, Patrice Houdayer and Franck Vasseur Innovation Policy in the Knowledge-Based Economy: The Israeli Case Guy by Ben-Ari Using National Innovation Systems to Enhance S&T Policy: A Knowledge-Based Approach with Examples from Japan by Mark Hewitt Virtualization of Research Universities: Raising the Right Questions to Address Key Functions of the Institution by Thomas Pfeffer Conclusion: Key Insights and Lessons Learned for Policy and Practice INDEX About the Editors and Contributors

  • knowledge creation diffusion and use in innovation networks and knowledge clusters a Comparative Systems approach across the united states europe and asia
    2006
    Co-Authors: Elias G Carayannis, David F J Campbell
    Abstract:

    INTRODUCTION & CHAPTER SUMMARIES Meaning and Implications from a Knowledge System Perspective by Elias G. Caryannis and David F. J. Campbell Productive Reasearch Teams and Knowledge Generation by Frank T, Anbari and Stuart A. Umpley Re-Thinking Science: Mode 2 in Societal Context by Helga Nowotny, Peter Scott and Micheal Gibbons Knowledge Production: Competence Development and Innovation--Between Invention and Routine by Wolfgang H. Guttel Knowledge ProductionTrends in the United States, European Union and Japan by David F. Campbell Innovation in Clusters and the Liability of Foreignness of International R&D by Max von Zedtwitz and Philip Heimann Transatlantic Innovation Infrastructure Networks: Public-Private, EU-US R&D Partnerships by Elias G. Carayannis and Patrice Laget Measuring Science-Technology Interaction in the Knowledge-Driven Economy by Martin S. Meyer The Different Dynamics of the Biotechnology and ICT Sectors in Finland by Christopher Palmberg and Terttu Luukkonen The Transformatiom of the German System of Innovation: The Case of Biotechnology by Edgar Grande and Robert Kaiser Competence Centers in Germany: How Can Policy Makers Support the Improved Diffusion of Knowledge? by Susanne Buhrer Cooperations and Networking as Side Effect of the German Delphi '98 by Kerstin Cuhls Certification and Knowledge Management: An Approach Applied to the Space Transport Industry by Frederic Fontane, Patrice Houdayer and Franck Vasseur Innovation Policy in the Knowledge-Based Economy: The Israeli Case Guy by Ben-Ari Using National Innovation Systems to Enhance S&T Policy: A Knowledge-Based Approach with Examples from Japan by Mark Hewitt Virtualization of Research Universities: Raising the Right Questions to Address Key Functions of the Institution by Thomas Pfeffer Conclusion: Key Insights and Lessons Learned for Policy and Practice INDEX About the Editors and Contributors

Janet Rossant - One of the best experts on this subject based on the ideXlab platform.

  • Comparative Systems biology of human and mouse as a tool to guide the modeling of human placental pathology
    Molecular Systems Biology, 2009
    Co-Authors: Max Kotlyar, Andreas Evangelou, Vladimir Ignatchenko, Alex Ignatchenko, Kathie J Whiteley, Igor Jurisica, Lee S Adamson, Janet Rossant
    Abstract:

    Placental abnormalities are associated with two of the most common and serious complications of human pregnancy, maternal preeclampsia (PE) and fetal intrauterine growth restriction (IUGR), each disorder affecting ∼5% of all pregnancies. An important question for the use of the mouse as a model for studying human disease is the degree of functional conservation of genetic control pathways from human to mouse. The human and mouse placenta show structural similarities, but there have been no systematic attempts to assess their molecular similarities or differences. We collected protein and mRNA expression data through shot-gun proteomics and microarray expression analysis of the highly vascular exchange region, microdissected from the human and mouse near-term placenta. Over 7000 ortholog genes were detected with 70% co-expressed in both species. Close to 90% agreement was found between our human proteomic results and 1649 genes assayed by immunohistochemistry for expression in the human placenta in the Human Protein Atlas. Interestingly, over 80% of genes known to cause placental phenotypes in mouse are co-expressed in human. Several of these phenotype-associated proteins form a tight protein–protein interaction network involving 15 known and 34 novel candidate proteins also likely important in placental structure and/or function. The entire data are available as a web-accessible database to guide the informed development of mouse models to study human disease.

Igor Jurisica - One of the best experts on this subject based on the ideXlab platform.

  • Comparative Systems biology of human and mouse as a tool to guide the modeling of human placental pathology
    Molecular Systems Biology, 2009
    Co-Authors: Max Kotlyar, Andreas Evangelou, Vladimir Ignatchenko, Alex Ignatchenko, Kathie J Whiteley, Igor Jurisica, Lee S Adamson, Janet Rossant
    Abstract:

    Placental abnormalities are associated with two of the most common and serious complications of human pregnancy, maternal preeclampsia (PE) and fetal intrauterine growth restriction (IUGR), each disorder affecting ∼5% of all pregnancies. An important question for the use of the mouse as a model for studying human disease is the degree of functional conservation of genetic control pathways from human to mouse. The human and mouse placenta show structural similarities, but there have been no systematic attempts to assess their molecular similarities or differences. We collected protein and mRNA expression data through shot-gun proteomics and microarray expression analysis of the highly vascular exchange region, microdissected from the human and mouse near-term placenta. Over 7000 ortholog genes were detected with 70% co-expressed in both species. Close to 90% agreement was found between our human proteomic results and 1649 genes assayed by immunohistochemistry for expression in the human placenta in the Human Protein Atlas. Interestingly, over 80% of genes known to cause placental phenotypes in mouse are co-expressed in human. Several of these phenotype-associated proteins form a tight protein–protein interaction network involving 15 known and 34 novel candidate proteins also likely important in placental structure and/or function. The entire data are available as a web-accessible database to guide the informed development of mouse models to study human disease.

Elias G Carayannis - One of the best experts on this subject based on the ideXlab platform.

  • knowledge creation diffusion and use in innovation networks and knowledge clusters a Comparative Systems approach across the united states europe and asia
    2006
    Co-Authors: Elias G Carayannis, David F J Campbell
    Abstract:

    INTRODUCTION & CHAPTER SUMMARIES Meaning and Implications from a Knowledge System Perspective by Elias G. Caryannis and David F. J. Campbell Productive Reasearch Teams and Knowledge Generation by Frank T, Anbari and Stuart A. Umpley Re-Thinking Science: Mode 2 in Societal Context by Helga Nowotny, Peter Scott and Micheal Gibbons Knowledge Production: Competence Development and Innovation--Between Invention and Routine by Wolfgang H. Guttel Knowledge ProductionTrends in the United States, European Union and Japan by David F. Campbell Innovation in Clusters and the Liability of Foreignness of International R&D by Max von Zedtwitz and Philip Heimann Transatlantic Innovation Infrastructure Networks: Public-Private, EU-US R&D Partnerships by Elias G. Carayannis and Patrice Laget Measuring Science-Technology Interaction in the Knowledge-Driven Economy by Martin S. Meyer The Different Dynamics of the Biotechnology and ICT Sectors in Finland by Christopher Palmberg and Terttu Luukkonen The Transformatiom of the German System of Innovation: The Case of Biotechnology by Edgar Grande and Robert Kaiser Competence Centers in Germany: How Can Policy Makers Support the Improved Diffusion of Knowledge? by Susanne Buhrer Cooperations and Networking as Side Effect of the German Delphi '98 by Kerstin Cuhls Certification and Knowledge Management: An Approach Applied to the Space Transport Industry by Frederic Fontane, Patrice Houdayer and Franck Vasseur Innovation Policy in the Knowledge-Based Economy: The Israeli Case Guy by Ben-Ari Using National Innovation Systems to Enhance S&T Policy: A Knowledge-Based Approach with Examples from Japan by Mark Hewitt Virtualization of Research Universities: Raising the Right Questions to Address Key Functions of the Institution by Thomas Pfeffer Conclusion: Key Insights and Lessons Learned for Policy and Practice INDEX About the Editors and Contributors

  • knowledge creation diffusion and use in innovation networks and knowledge clusters a Comparative Systems approach across the united states europe and asia
    2006
    Co-Authors: Elias G Carayannis, David F J Campbell
    Abstract:

    INTRODUCTION & CHAPTER SUMMARIES Meaning and Implications from a Knowledge System Perspective by Elias G. Caryannis and David F. J. Campbell Productive Reasearch Teams and Knowledge Generation by Frank T, Anbari and Stuart A. Umpley Re-Thinking Science: Mode 2 in Societal Context by Helga Nowotny, Peter Scott and Micheal Gibbons Knowledge Production: Competence Development and Innovation--Between Invention and Routine by Wolfgang H. Guttel Knowledge ProductionTrends in the United States, European Union and Japan by David F. Campbell Innovation in Clusters and the Liability of Foreignness of International R&D by Max von Zedtwitz and Philip Heimann Transatlantic Innovation Infrastructure Networks: Public-Private, EU-US R&D Partnerships by Elias G. Carayannis and Patrice Laget Measuring Science-Technology Interaction in the Knowledge-Driven Economy by Martin S. Meyer The Different Dynamics of the Biotechnology and ICT Sectors in Finland by Christopher Palmberg and Terttu Luukkonen The Transformatiom of the German System of Innovation: The Case of Biotechnology by Edgar Grande and Robert Kaiser Competence Centers in Germany: How Can Policy Makers Support the Improved Diffusion of Knowledge? by Susanne Buhrer Cooperations and Networking as Side Effect of the German Delphi '98 by Kerstin Cuhls Certification and Knowledge Management: An Approach Applied to the Space Transport Industry by Frederic Fontane, Patrice Houdayer and Franck Vasseur Innovation Policy in the Knowledge-Based Economy: The Israeli Case Guy by Ben-Ari Using National Innovation Systems to Enhance S&T Policy: A Knowledge-Based Approach with Examples from Japan by Mark Hewitt Virtualization of Research Universities: Raising the Right Questions to Address Key Functions of the Institution by Thomas Pfeffer Conclusion: Key Insights and Lessons Learned for Policy and Practice INDEX About the Editors and Contributors