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1. The Atmospheric River Tracking Method Intercomparison Project (ARTMIP): Quantifying Uncertainties in Atmospheric River Climatology

Author

Rutz, JJ, Rutz, JJ, Shields, CA, Lora, JM, Payne, AE, Guan, B, Ullrich, P, O’Brien, T, Leung, LR, Ralph, FM, Wehner, M, Brands, S, Collow, A, Goldenson, N, Gorodetskaya, I, Griffith, H, Kashinath, K, Kawzenuk, B, Krishnan, H, Kurlin, V, Lavers, D, Magnusdottir, G, Mahoney, K, McClenny, E, Muszynski, G, Nguyen, PD, Prabhat, M, Qian, Y, Ramos, AM, Sarangi, C, Sellars, S, Shulgina, T, Tome, R, Waliser, D, Walton, D, Wick, G, Wilson, AM, Viale, M, Rutz, JJ, Rutz, JJ, Shields, CA, Lora, JM, Payne, AE, Guan, B, Ullrich, P, O’Brien, T, Leung, LR, Ralph, FM, Wehner, M, Brands, S, Collow, A, Goldenson, N, Gorodetskaya, I, Griffith, H, Kashinath, K, Kawzenuk, B, Krishnan, H, Kurlin, V, Lavers, D, Magnusdottir, G, Mahoney, K, McClenny, E, Muszynski, G, Nguyen, PD, Prabhat, M, Qian, Y, Ramos, AM, Sarangi, C, Sellars, S, Shulgina, T, Tome, R, Waliser, D, Walton, D, Wick, G, Wilson, AM, and Viale, M

Abstract

Atmospheric rivers (ARs) are now widely known for their association with high-impact weather events and long-term water supply in many regions. Researchers within the scientific community have developed numerous methods to identify and track of ARs—a necessary step for analyses on gridded data sets, and objective attribution of impacts to ARs. These different methods have been developed to answer specific research questions and hence use different criteria (e.g., geometry, threshold values of key variables, and time dependence). Furthermore, these methods are often employed using different reanalysis data sets, time periods, and regions of interest. The goal of the Atmospheric River Tracking Method Intercomparison Project (ARTMIP) is to understand and quantify uncertainties in AR science that arise due to differences in these methods. This paper presents results for key AR-related metrics based on 20+ different AR identification and tracking methods applied to Modern-Era Retrospective Analysis for Research and Applications Version 2 reanalysis data from January 1980 through June 2017. We show that AR frequency, duration, and seasonality exhibit a wide range of results, while the meridional distribution of these metrics along selected coastal (but not interior) transects are quite similar across methods. Furthermore, methods are grouped into criteria-based clusters, within which the range of results is reduced. AR case studies and an evaluation of individual method deviation from an all-method mean highlight advantages/disadvantages of certain approaches. For example, methods with less (more) restrictive criteria identify more (less) ARs and AR-related impacts. Finally, this paper concludes with a discussion and recommendations for those conducting AR-related research to consider.

Published
2019

2. The Atmospheric River Tracking Method Intercomparison Project (ARTMIP): Quantifying Uncertainties in Atmospheric River Climatology

Author

Rutz, JJ, Rutz, JJ, Shields, CA, Lora, JM, Payne, AE, Guan, B, Ullrich, P, O’Brien, T, Leung, LR, Ralph, FM, Wehner, M, Brands, S, Collow, A, Goldenson, N, Gorodetskaya, I, Griffith, H, Kashinath, K, Kawzenuk, B, Krishnan, H, Kurlin, V, Lavers, D, Magnusdottir, G, Mahoney, K, McClenny, E, Muszynski, G, Nguyen, PD, Prabhat, M, Qian, Y, Ramos, AM, Sarangi, C, Sellars, S, Shulgina, T, Tome, R, Waliser, D, Walton, D, Wick, G, Wilson, AM, Viale, M, Rutz, JJ, Rutz, JJ, Shields, CA, Lora, JM, Payne, AE, Guan, B, Ullrich, P, O’Brien, T, Leung, LR, Ralph, FM, Wehner, M, Brands, S, Collow, A, Goldenson, N, Gorodetskaya, I, Griffith, H, Kashinath, K, Kawzenuk, B, Krishnan, H, Kurlin, V, Lavers, D, Magnusdottir, G, Mahoney, K, McClenny, E, Muszynski, G, Nguyen, PD, Prabhat, M, Qian, Y, Ramos, AM, Sarangi, C, Sellars, S, Shulgina, T, Tome, R, Waliser, D, Walton, D, Wick, G, Wilson, AM, and Viale, M

Abstract

Atmospheric rivers (ARs) are now widely known for their association with high-impact weather events and long-term water supply in many regions. Researchers within the scientific community have developed numerous methods to identify and track of ARs—a necessary step for analyses on gridded data sets, and objective attribution of impacts to ARs. These different methods have been developed to answer specific research questions and hence use different criteria (e.g., geometry, threshold values of key variables, and time dependence). Furthermore, these methods are often employed using different reanalysis data sets, time periods, and regions of interest. The goal of the Atmospheric River Tracking Method Intercomparison Project (ARTMIP) is to understand and quantify uncertainties in AR science that arise due to differences in these methods. This paper presents results for key AR-related metrics based on 20+ different AR identification and tracking methods applied to Modern-Era Retrospective Analysis for Research and Applications Version 2 reanalysis data from January 1980 through June 2017. We show that AR frequency, duration, and seasonality exhibit a wide range of results, while the meridional distribution of these metrics along selected coastal (but not interior) transects are quite similar across methods. Furthermore, methods are grouped into criteria-based clusters, within which the range of results is reduced. AR case studies and an evaluation of individual method deviation from an all-method mean highlight advantages/disadvantages of certain approaches. For example, methods with less (more) restrictive criteria identify more (less) ARs and AR-related impacts. Finally, this paper concludes with a discussion and recommendations for those conducting AR-related research to consider.

Published
2019

3. The Atmospheric River Tracking Method Intercomparison Project (ARTMIP): Quantifying Uncertainties in Atmospheric River Climatology

Author

Rutz, JJ, Rutz, JJ, Shields, CA, Lora, JM, Payne, AE, Guan, B, Ullrich, P, O’Brien, T, Leung, LR, Ralph, FM, Wehner, M, Brands, S, Collow, A, Goldenson, N, Gorodetskaya, I, Griffith, H, Kashinath, K, Kawzenuk, B, Krishnan, H, Kurlin, V, Lavers, D, Magnusdottir, G, Mahoney, K, McClenny, E, Muszynski, G, Nguyen, PD, Prabhat, M, Qian, Y, Ramos, AM, Sarangi, C, Sellars, S, Shulgina, T, Tome, R, Waliser, D, Walton, D, Wick, G, Wilson, AM, Viale, M, Rutz, JJ, Rutz, JJ, Shields, CA, Lora, JM, Payne, AE, Guan, B, Ullrich, P, O’Brien, T, Leung, LR, Ralph, FM, Wehner, M, Brands, S, Collow, A, Goldenson, N, Gorodetskaya, I, Griffith, H, Kashinath, K, Kawzenuk, B, Krishnan, H, Kurlin, V, Lavers, D, Magnusdottir, G, Mahoney, K, McClenny, E, Muszynski, G, Nguyen, PD, Prabhat, M, Qian, Y, Ramos, AM, Sarangi, C, Sellars, S, Shulgina, T, Tome, R, Waliser, D, Walton, D, Wick, G, Wilson, AM, and Viale, M

Abstract

Atmospheric rivers (ARs) are now widely known for their association with high-impact weather events and long-term water supply in many regions. Researchers within the scientific community have developed numerous methods to identify and track of ARs—a necessary step for analyses on gridded data sets, and objective attribution of impacts to ARs. These different methods have been developed to answer specific research questions and hence use different criteria (e.g., geometry, threshold values of key variables, and time dependence). Furthermore, these methods are often employed using different reanalysis data sets, time periods, and regions of interest. The goal of the Atmospheric River Tracking Method Intercomparison Project (ARTMIP) is to understand and quantify uncertainties in AR science that arise due to differences in these methods. This paper presents results for key AR-related metrics based on 20+ different AR identification and tracking methods applied to Modern-Era Retrospective Analysis for Research and Applications Version 2 reanalysis data from January 1980 through June 2017. We show that AR frequency, duration, and seasonality exhibit a wide range of results, while the meridional distribution of these metrics along selected coastal (but not interior) transects are quite similar across methods. Furthermore, methods are grouped into criteria-based clusters, within which the range of results is reduced. AR case studies and an evaluation of individual method deviation from an all-method mean highlight advantages/disadvantages of certain approaches. For example, methods with less (more) restrictive criteria identify more (less) ARs and AR-related impacts. Finally, this paper concludes with a discussion and recommendations for those conducting AR-related research to consider.

Published
2019

4. Atmospheric River Tracking Method Intercomparison Project (ARTMIP): Project goals and experimental design

Author

Shields, CA, Shields, CA, Rutz, JJ, Leung, LY, Martin Ralph, F, Wehner, M, Kawzenuk, B, Lora, JM, McClenny, E, Osborne, T, Payne, AE, Ullrich, P, Gershunov, A, Goldenson, N, Guan, B, Qian, Y, Ramos, AM, Sarangi, C, Sellars, S, Gorodetskaya, I, Kashinath, K, Kurlin, V, Mahoney, K, Muszynski, G, Pierce, R, Subramanian, AC, Tome, R, Waliser, D, Walton, D, Wick, G, Wilson, A, Lavers, D, Prabhat, Collow, A, Krishnan, H, Magnusdottir, G, Nguyen, P, Shields, CA, Shields, CA, Rutz, JJ, Leung, LY, Martin Ralph, F, Wehner, M, Kawzenuk, B, Lora, JM, McClenny, E, Osborne, T, Payne, AE, Ullrich, P, Gershunov, A, Goldenson, N, Guan, B, Qian, Y, Ramos, AM, Sarangi, C, Sellars, S, Gorodetskaya, I, Kashinath, K, Kurlin, V, Mahoney, K, Muszynski, G, Pierce, R, Subramanian, AC, Tome, R, Waliser, D, Walton, D, Wick, G, Wilson, A, Lavers, D, Prabhat, Collow, A, Krishnan, H, Magnusdottir, G, and Nguyen, P

Abstract

The Atmospheric River Tracking Method Intercomparison Project (ARTMIP) is an international collaborative effort to understand and quantify the uncertainties in atmospheric river (AR) science based on detection algorithm alone. Currently, there are many AR identification and tracking algorithms in the literature with a wide range of techniques and conclusions. ARTMIP strives to provide the community with information on different methodologies and provide guidance on the most appropriate algorithm for a given science question or region of interest. All ARTMIP participants will implement their detection algorithms on a specified common dataset for a defined period of time. The project is divided into two phases: Tier 1 will utilize the Modern-Era Retrospective analysis for Research and Applications, version 2 (MERRA-2) reanalysis from January 1980 to June 2017 and will be used as a baseline for all subsequent comparisons. Participation in Tier 1 is required. Tier 2 will be optional and include sensitivity studies designed around specific science questions, such as reanalysis uncertainty and climate change. High-resolution reanalysis and/or model output will be used wherever possible. Proposed metrics include AR frequency, duration, intensity, and precipitation attributable to ARs. Here, we present the ARTMIP experimental design, timeline, project requirements, and a brief description of the variety of methodologies in the current literature. We also present results from our 1-month proof-of-concept trial run designed to illustrate the utility and feasibility of the ARTMIP project.

Published
2018

5. Atmospheric River Tracking Method Intercomparison Project (ARTMIP): Project goals and experimental design

Author

Shields, CA, Shields, CA, Rutz, JJ, Leung, LY, Martin Ralph, F, Wehner, M, Kawzenuk, B, Lora, JM, McClenny, E, Osborne, T, Payne, AE, Ullrich, P, Gershunov, A, Goldenson, N, Guan, B, Qian, Y, Ramos, AM, Sarangi, C, Sellars, S, Gorodetskaya, I, Kashinath, K, Kurlin, V, Mahoney, K, Muszynski, G, Pierce, R, Subramanian, AC, Tome, R, Waliser, D, Walton, D, Wick, G, Wilson, A, Lavers, D, Prabhat, Collow, A, Krishnan, H, Magnusdottir, G, Nguyen, P, Shields, CA, Shields, CA, Rutz, JJ, Leung, LY, Martin Ralph, F, Wehner, M, Kawzenuk, B, Lora, JM, McClenny, E, Osborne, T, Payne, AE, Ullrich, P, Gershunov, A, Goldenson, N, Guan, B, Qian, Y, Ramos, AM, Sarangi, C, Sellars, S, Gorodetskaya, I, Kashinath, K, Kurlin, V, Mahoney, K, Muszynski, G, Pierce, R, Subramanian, AC, Tome, R, Waliser, D, Walton, D, Wick, G, Wilson, A, Lavers, D, Prabhat, Collow, A, Krishnan, H, Magnusdottir, G, and Nguyen, P

Abstract

The Atmospheric River Tracking Method Intercomparison Project (ARTMIP) is an international collaborative effort to understand and quantify the uncertainties in atmospheric river (AR) science based on detection algorithm alone. Currently, there are many AR identification and tracking algorithms in the literature with a wide range of techniques and conclusions. ARTMIP strives to provide the community with information on different methodologies and provide guidance on the most appropriate algorithm for a given science question or region of interest. All ARTMIP participants will implement their detection algorithms on a specified common dataset for a defined period of time. The project is divided into two phases: Tier 1 will utilize the Modern-Era Retrospective analysis for Research and Applications, version 2 (MERRA-2) reanalysis from January 1980 to June 2017 and will be used as a baseline for all subsequent comparisons. Participation in Tier 1 is required. Tier 2 will be optional and include sensitivity studies designed around specific science questions, such as reanalysis uncertainty and climate change. High-resolution reanalysis and/or model output will be used wherever possible. Proposed metrics include AR frequency, duration, intensity, and precipitation attributable to ARs. Here, we present the ARTMIP experimental design, timeline, project requirements, and a brief description of the variety of methodologies in the current literature. We also present results from our 1-month proof-of-concept trial run designed to illustrate the utility and feasibility of the ARTMIP project.

Published
2018

6. A Vision for Future Observations for Western U.S. Extreme Precipitation and Flooding

Author

Ralph, FM, Ralph, FM, Dettinger, M, White, A, Reynolds, D, Cayan, D, Schneider, T, Cifelli, R, Redmond, K, Anderson, M, Gherke, F, Jones, J, Mahoney, K, Johnson, L, Gutman, S, Chandrasekar, V, Lundquist, J, Molotch, N, Brekke, L, Pulwarty, R, Horel, J, Schick, L, Edman, A, Mote, P, Abatzoglou, J, Pierce, R, Wick, G, Ralph, FM, Ralph, FM, Dettinger, M, White, A, Reynolds, D, Cayan, D, Schneider, T, Cifelli, R, Redmond, K, Anderson, M, Gherke, F, Jones, J, Mahoney, K, Johnson, L, Gutman, S, Chandrasekar, V, Lundquist, J, Molotch, N, Brekke, L, Pulwarty, R, Horel, J, Schick, L, Edman, A, Mote, P, Abatzoglou, J, Pierce, R, and Wick, G

Published
2014

7. A Vision for Future Observations for Western U.S. Extreme Precipitation and Flooding

Author

Ralph, F, Ralph, F, Dettinger, M, White, A, Reynolds, D, Cayan, D, Schneider, T, Cifelli, R, Redmond, K, Anderson, M, Gherke, F, Jones, J, Mahoney, K, Johnson, L, Gutman, S, Chandrasekar, V, Lundquist, J, Molotch, N, Brekke, L, Pulwarty, R, Horel, J, Schick, L, Edman, A, Mote, P, Abatzoglou, J, Pierce, R, Wick, G, Ralph, F, Ralph, F, Dettinger, M, White, A, Reynolds, D, Cayan, D, Schneider, T, Cifelli, R, Redmond, K, Anderson, M, Gherke, F, Jones, J, Mahoney, K, Johnson, L, Gutman, S, Chandrasekar, V, Lundquist, J, Molotch, N, Brekke, L, Pulwarty, R, Horel, J, Schick, L, Edman, A, Mote, P, Abatzoglou, J, Pierce, R, and Wick, G

Published
2014

8. Pentraxin 3 (PTX3) plasma levels and carotid intima media thickness progression in the general population

Author

Baragetti, A., Knoflach, M., Cuccovillo, I., Grigore, L., Casula, M., Garlaschelli, K., Mantovani, A., Wick, G., Kiechl, S., Willeit, J., Bottazzi, B., Catapano, A., Norata, Giuseppe, Baragetti, A., Knoflach, M., Cuccovillo, I., Grigore, L., Casula, M., Garlaschelli, K., Mantovani, A., Wick, G., Kiechl, S., Willeit, J., Bottazzi, B., Catapano, A., and Norata, Giuseppe

Abstract

Background and aim: Pentraxin 3 (PTX3) is an essential component of the humoral arm of innate immunity and, like C-reactive protein, is independently associated with the risk of developing vascular events. Aim of this study was to investigate, in two large population-based surveys, the Bruneck Study and the PLIC Study, whether PTX3 plasma levels predict the progression of common carotid artery intima-media thickness (CCA-IMT), a surrogate marker of atherosclerosis, in the general population during 5 or 6 years of follow-up. Results: In the Bruneck Study, PTX3 plasma levels did not predict a faster progression of CCA-IMT either in the carotid artery or in the femoral artery. This finding was confirmed in the PLIC Study where subjects within the highest tertile of PTX3 did not show an increased progression of CCA-IMT. PTX3 plasma levels were also not associated with the fastest maximum IMT progression. In summary, in more than 2400 subjects from the general population, PTX3 plasma level is neither an independent predictor of progression of subclinical atherosclerosis in different arterial territories, including carotid and femoral arteries nor of incident cardiovascular events. Conclusion: These findings support the relevance of investigating the predictive value of PTX3 plasma levels only in specific settings, like overt CVD, heart failure or acute myocardial infarction. © 2013 Elsevier B.V.

Published
2014

9. Dynamics of heat shock protein 60 in endothelial cells exposed to cigarette smoke extract

Author

Risk Assessment of Toxic and Immunomodulatory Agents, Dep Infectieziekten Immunologie, Kreutmayer, S.B., Messner, B., Knoflach, M., Henderson, B., Niederegger, H., Bock, G., van der Zee, R., Wick, G., Bernhard, D., Risk Assessment of Toxic and Immunomodulatory Agents, Dep Infectieziekten Immunologie, Kreutmayer, S.B., Messner, B., Knoflach, M., Henderson, B., Niederegger, H., Bock, G., van der Zee, R., Wick, G., and Bernhard, D.

Published
2011

10. Dynamics of heat shock protein 60 in endothelial cells exposed to cigarette smoke extract

Author

Risk Assessment of Toxic and Immunomodulatory Agents, Dep Infectieziekten Immunologie, Kreutmayer, S.B., Messner, B., Knoflach, M., Henderson, B., Niederegger, H., Bock, G., van der Zee, R., Wick, G., Bernhard, D., Risk Assessment of Toxic and Immunomodulatory Agents, Dep Infectieziekten Immunologie, Kreutmayer, S.B., Messner, B., Knoflach, M., Henderson, B., Niederegger, H., Bock, G., van der Zee, R., Wick, G., and Bernhard, D.

Published
2011

13. Dynamics of heat shock protein 60 in endothelial cells exposed to cigarette smoke extract

Author

Risk Assessment of Toxic and Immunomodulatory Agents, Dep Infectieziekten Immunologie, Kreutmayer, S.B., Messner, B., Knoflach, M., Henderson, B., Niederegger, H., Bock, G., van der Zee, R., Wick, G., Bernhard, D., Risk Assessment of Toxic and Immunomodulatory Agents, Dep Infectieziekten Immunologie, Kreutmayer, S.B., Messner, B., Knoflach, M., Henderson, B., Niederegger, H., Bock, G., van der Zee, R., Wick, G., and Bernhard, D.

Published
2011

14. Evaluating Climate Variability and Change from Modern and Successes and challengers for the modern sea surface temperature observing system

Author

Hall, J., Harrison, D.E., Stammer, D., Donlon, C.J., Casey, K.S., Gentemann, C., LeBorgne, P., Robinson, I.S., Reynolds, R.W., Merchant, C., Llewellyn-Jones, D., Minnett, P.J., Piolle, J.F., Cornillon, P., Rayner, N., Brandon, T., Vazquez, J., Armstrong, E., Beggs, H., Barton, I., Wick, G., Castro, S., Hoeyer, J., May, D., Arino, O., Poulter, D.J.S., Evans, R., Mutlow, C.T., Bingham, A.W., Harris, A., Hall, J., Harrison, D.E., Stammer, D., Donlon, C.J., Casey, K.S., Gentemann, C., LeBorgne, P., Robinson, I.S., Reynolds, R.W., Merchant, C., Llewellyn-Jones, D., Minnett, P.J., Piolle, J.F., Cornillon, P., Rayner, N., Brandon, T., Vazquez, J., Armstrong, E., Beggs, H., Barton, I., Wick, G., Castro, S., Hoeyer, J., May, D., Arino, O., Poulter, D.J.S., Evans, R., Mutlow, C.T., Bingham, A.W., and Harris, A.

Published
2010

15. Evaluating Climate Variability and Change from Modern and Successes and challengers for the modern sea surface temperature observing system

Author

Hall, J., Harrison, D.E., Stammer, D., Donlon, C.J., Casey, K.S., Gentemann, C., LeBorgne, P., Robinson, I.S., Reynolds, R.W., Merchant, C., Llewellyn-Jones, D., Minnett, P.J., Piolle, J.F., Cornillon, P., Rayner, N., Brandon, T., Vazquez, J., Armstrong, E., Beggs, H., Barton, I., Wick, G., Castro, S., Hoeyer, J., May, D., Arino, O., Poulter, D.J.S., Evans, R., Mutlow, C.T., Bingham, A.W., Harris, A., Hall, J., Harrison, D.E., Stammer, D., Donlon, C.J., Casey, K.S., Gentemann, C., LeBorgne, P., Robinson, I.S., Reynolds, R.W., Merchant, C., Llewellyn-Jones, D., Minnett, P.J., Piolle, J.F., Cornillon, P., Rayner, N., Brandon, T., Vazquez, J., Armstrong, E., Beggs, H., Barton, I., Wick, G., Castro, S., Hoeyer, J., May, D., Arino, O., Poulter, D.J.S., Evans, R., Mutlow, C.T., Bingham, A.W., and Harris, A.

Published
2010

16. Gewonnene Jahre. Empfehlungen der Akademiengruppe Altern in Deutschland

Author

Backes-Gellner, Uschi; https://orcid.org/0000-0002-7511-9757, Baumert, J, Becker, U, Börsch-Supan, A, Ehmer, J, Einhäupl, K M, Höffe, O, Hüttl, R F, Keil, U, Kochsiek, K, Kocka, J, Kohli, M, Lindenberger, U, Müller, B, Nehmer, J, Schnitzer-Ungefug, J, Staudinger, U M, Steinhagen-Thiessen, E, Wagner, G G, Wick, G, Backes-Gellner, Uschi; https://orcid.org/0000-0002-7511-9757, Baumert, J, Becker, U, Börsch-Supan, A, Ehmer, J, Einhäupl, K M, Höffe, O, Hüttl, R F, Keil, U, Kochsiek, K, Kocka, J, Kohli, M, Lindenberger, U, Müller, B, Nehmer, J, Schnitzer-Ungefug, J, Staudinger, U M, Steinhagen-Thiessen, E, Wagner, G G, and Wick, G

Abstract

Der Band enthält die Empfehlungen der Akademiengruppe „Altern in Deutschland“, die auf einer dreijährigen Arbeit beruhen. Sie befassen sich mit den Chancen und Herausforderungen des demographischen Wandels, vor allem für die Welt der Arbeit und des lebenslangen Lernens. Doch werden auch andere Bereiche des Lebens und nicht nur die letzte Lebensphase berührt. Es geht in den Empfehlungen um die Ausschöpfung der Möglichkeiten, die durch die Zunahme der durchschnittlichen Lebenserwartung entstanden sind. Die Empfehlungen richten sich sowohl an jeden Einzelnen als auch an die Vertreter der Wirtschaft und die Gesellschaft im Ganzen.

Published
2009

21. T-cell reactivity against HSP60 is a risk factor for early atherosclerosis.

Author

Risk Assessment of Toxic and Immunomodulatory Agents, Dep Infectieziekten Immunologie, Knoflach, M., Kiechl, S., Mayrl, B., Kind, M., Gaston, J.H., van der Zee, R., Faggionato, A., Mayr, A., Poewe, W., Willeit, J., Wick, G., Risk Assessment of Toxic and Immunomodulatory Agents, Dep Infectieziekten Immunologie, Knoflach, M., Kiechl, S., Mayrl, B., Kind, M., Gaston, J.H., van der Zee, R., Faggionato, A., Mayr, A., Poewe, W., Willeit, J., and Wick, G.

Published
2007

22. Identification of atherosclerosis-associated conformational heat shock protein 60 epitopes by phage display and structural alignment.

Author

Risk Assessment of Toxic and Immunomodulatory Agents, Dep Infectieziekten Immunologie, Perschinka, H., Wellenzohn, B., Parson, W., van der Zee, R., Willeit, J., Kiechl, S., Wick, G., Risk Assessment of Toxic and Immunomodulatory Agents, Dep Infectieziekten Immunologie, Perschinka, H., Wellenzohn, B., Parson, W., van der Zee, R., Willeit, J., Kiechl, S., and Wick, G.

Published
2007

23. T-cell reactivity against HSP60 is a risk factor for early atherosclerosis.

Author

Risk Assessment of Toxic and Immunomodulatory Agents, Dep Infectieziekten Immunologie, Knoflach, M., Kiechl, S., Mayrl, B., Kind, M., Gaston, J.H., van der Zee, R., Faggionato, A., Mayr, A., Poewe, W., Willeit, J., Wick, G., Risk Assessment of Toxic and Immunomodulatory Agents, Dep Infectieziekten Immunologie, Knoflach, M., Kiechl, S., Mayrl, B., Kind, M., Gaston, J.H., van der Zee, R., Faggionato, A., Mayr, A., Poewe, W., Willeit, J., and Wick, G.

Published
2007

24. Identification of atherosclerosis-associated conformational heat shock protein 60 epitopes by phage display and structural alignment.

Author

Risk Assessment of Toxic and Immunomodulatory Agents, Dep Infectieziekten Immunologie, Perschinka, H., Wellenzohn, B., Parson, W., van der Zee, R., Willeit, J., Kiechl, S., Wick, G., Risk Assessment of Toxic and Immunomodulatory Agents, Dep Infectieziekten Immunologie, Perschinka, H., Wellenzohn, B., Parson, W., van der Zee, R., Willeit, J., Kiechl, S., and Wick, G.

Published
2007

25. T-cell reactivity against HSP60 is a risk factor for early atherosclerosis.

Author

Risk Assessment of Toxic and Immunomodulatory Agents, Dep Infectieziekten Immunologie, Knoflach, M., Kiechl, S., Mayrl, B., Kind, M., Gaston, J.H., van der Zee, R., Faggionato, A., Mayr, A., Poewe, W., Willeit, J., Wick, G., Risk Assessment of Toxic and Immunomodulatory Agents, Dep Infectieziekten Immunologie, Knoflach, M., Kiechl, S., Mayrl, B., Kind, M., Gaston, J.H., van der Zee, R., Faggionato, A., Mayr, A., Poewe, W., Willeit, J., and Wick, G.

Published
2007

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