2,695 results on '"Schuh W"'
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2. Magic Square of Real Spectral and Time Series Analysis with an Application to Moving Average Processes
- Author
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Krasbutter, I., Kargoll, B., Schuh, W.-D., Rizos, Chris, Series editor, Kutterer, Hansjörg, editor, Seitz, Florian, editor, Alkhatib, Hamza, editor, and Schmidt, Michael, editor
- Published
- 2015
- Full Text
- View/download PDF
3. Describing the Quality of Inequality Constrained Estimates
- Author
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Roese-Koerner, L., Devaraju, B., Schuh, W.-D., Sneeuw, N., Rizos, Chris, Series editor, Kutterer, Hansjörg, editor, Seitz, Florian, editor, Alkhatib, Hamza, editor, and Schmidt, Michael, editor
- Published
- 2015
- Full Text
- View/download PDF
4. GOCO05c: A New Combined Gravity Field Model Based on Full Normal Equations and Regionally Varying Weighting
- Author
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Fecher, T., Pail, R., Gruber, T., Schuh, W-D, Kusche, J, Brockmann, J M, Loth, I, Müller, S, Eicker, A, Schall, J, Mayer-Gürr, T, Kvas, A, Klinger, B, Rieser, D, Zehentner, N, Baur, O, Höck, E, Krauss, S, Jäggi, A, Meyer, U, Prange, L, Maier, A, the GOCO Consortium, University of Bonn, Institute of Geodesy and Geoinformation, Graz University of Technology, Institute of Geodesy, Austrian Academy of Sciences, Space Research Institute, and University of Bern, Astronomical Institute
- Published
- 2017
- Full Text
- View/download PDF
5. The Effect of Reordering Strategies on Rounding Errors in Large, Sparse Equation Systems
- Author
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Ernst, A., Schuh, W.-D., Sneeuw, Nico, editor, Novák, Pavel, editor, Crespi, Mattia, editor, and Sansò, Fernando, editor
- Published
- 2012
- Full Text
- View/download PDF
6. Fast Variance Component Estimation in GOCE Data Processing
- Author
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Brockmann, J.M., Schuh, W. -D., and Mertikas, Stelios P., editor
- Published
- 2010
- Full Text
- View/download PDF
7. GOCE Gravity Field Processing
- Author
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Pail, R., Schuh, W.-D., Wermuth, M., Sansò, Fernando, editor, Jekeli, Christopher, editor, Bastos, Luisa, editor, and Fernandes, Joana, editor
- Published
- 2005
- Full Text
- View/download PDF
8. Guidelines for the use of flow cytometry and cell sorting in immunological studies (third edition)
- Author
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Cossarizza, A, Chang, H, Radbruch, A, Abrignani, S, Addo, R, Akdis, M, Andra, I, Andreata, F, Annunziato, F, Arranz, E, Bacher, P, Bari, S, Barnaba, V, Barros-Martins, J, Baumjohann, D, Beccaria, C, Bernardo, D, Boardman, D, Borger, J, Bottcher, C, Brockmann, L, Burns, M, Busch, D, Cameron, G, Cammarata, I, Cassotta, A, Chang, Y, Chirdo, F, Christakou, E, Cicin-Sain, L, Cook, L, Corbett, A, Cornelis, R, Cosmi, L, Davey, M, De Biasi, S, De Simone, G, del Zotto, G, Delacher, M, Di Rosa, F, Santo, J, Diefenbach, A, Dong, J, Dorner, T, Dress, R, Dutertre, C, Eckle, S, Eede, P, Evrard, M, Falk, C, Feuerer, M, Fillatreau, S, Fiz-Lopez, A, Follo, M, Foulds, G, Frobel, J, Gagliani, N, Galletti, G, Gangaev, A, Garbi, N, Garrote, J, Geginat, J, Gherardin, N, Gibellini, L, Ginhoux, F, Godfrey, D, Gruarin, P, Haftmann, C, Hansmann, L, Harpur, C, Hayday, A, Heine, G, Hernandez, D, Herrmann, M, Hoelsken, O, Huang, Q, Huber, S, Huber, J, Huehn, J, Hundemer, M, Hwang, W, Iannacone, M, Ivison, S, Jack, H, Jani, P, Keller, B, Kessler, N, Ketelaars, S, Knop, L, Knopf, J, Koay, H, Kobow, K, Kriegsmann, K, Kristyanto, H, Krueger, A, Kuehne, J, Kunze-Schumacher, H, Kvistborg, P, Kwok, I, Latorre, D, Lenz, D, Levings, M, Lino, A, Liotta, F, Long, H, Lugli, E, Macdonald, K, Maggi, L, Maini, M, Mair, F, Manta, C, Manz, R, Mashreghi, M, Mazzoni, A, Mccluskey, J, Mei, H, Melchers, F, Melzer, S, Mielenz, D, Monin, L, Moretta, L, Multhoff, G, Munoz, L, Munoz-Ruiz, M, Muscate, F, Natalini, A, Neumann, K, Ng, L, Niedobitek, A, Niemz, J, Almeida, L, Notarbartolo, S, Ostendorf, L, Pallett, L, Patel, A, Percin, G, Peruzzi, G, Pinti, M, Pockley, A, Pracht, K, Prinz, I, Pujol-Autonell, I, Pulvirenti, N, Quatrini, L, Quinn, K, Radbruch, H, Rhys, H, Rodrigo, M, Romagnani, C, Saggau, C, Sakaguchi, S, Sallusto, F, Sanderink, L, Sandrock, I, Schauer, C, Scheffold, A, Scherer, H, Schiemann, M, Schildberg, F, Schober, K, Schoen, J, Schuh, W, Schuler, T, Schulz, A, Schulz, S, Schulze, J, Simonetti, S, Singh, J, Sitnik, K, Stark, R, Starossom, S, Stehle, C, Szelinski, F, Tan, L, Tarnok, A, Tornack, J, Tree, T, van Beek, J, van de Veen, W, van Gisbergen, K, Vasco, C, Verheyden, N, von Borstel, A, Ward-Hartstonge, K, Warnatz, K, Waskow, C, Wiedemann, A, Wilharm, A, Wing, J, Wirz, O, Wittner, J, Yang, J, Cossarizza A., Chang H. -D., Radbruch A., Abrignani S., Addo R., Akdis M., Andra I., Andreata F., Annunziato F., Arranz E., Bacher P., Bari S., Barnaba V., Barros-Martins J., Baumjohann D., Beccaria C. G., Bernardo D., Boardman D. A., Borger J., Bottcher C., Brockmann L., Burns M., Busch D. H., Cameron G., Cammarata I., Cassotta A., Chang Y., Chirdo F. G., Christakou E., Cicin-Sain L., Cook L., Corbett A. J., Cornelis R., Cosmi L., Davey M. S., De Biasi S., De Simone G., del Zotto G., Delacher M., Di Rosa F., Santo J. D., Diefenbach A., Dong J., Dorner T., Dress R. J., Dutertre C. -A., Eckle S. B. G., Eede P., Evrard M., Falk C. S., Feuerer M., Fillatreau S., Fiz-Lopez A., Follo M., Foulds G. A., Frobel J., Gagliani N., Galletti G., Gangaev A., Garbi N., Garrote J. A., Geginat J., Gherardin N. A., Gibellini L., Ginhoux F., Godfrey D. I., Gruarin P., Haftmann C., Hansmann L., Harpur C. M., Hayday A. C., Heine G., Hernandez D. C., Herrmann M., Hoelsken O., Huang Q., Huber S., Huber J. E., Huehn J., Hundemer M., Hwang W. Y. K., Iannacone M., Ivison S. M., Jack H. -M., Jani P. K., Keller B., Kessler N., Ketelaars S., Knop L., Knopf J., Koay H. -F., Kobow K., Kriegsmann K., Kristyanto H., Krueger A., Kuehne J. F., Kunze-Schumacher H., Kvistborg P., Kwok I., Latorre D., Lenz D., Levings M. K., Lino A. C., Liotta F., Long H. M., Lugli E., MacDonald K. N., Maggi L., Maini M. K., Mair F., Manta C., Manz R. A., Mashreghi M. -F., Mazzoni A., McCluskey J., Mei H. E., Melchers F., Melzer S., Mielenz D., Monin L., Moretta L., Multhoff G., Munoz L. E., Munoz-Ruiz M., Muscate F., Natalini A., Neumann K., Ng L. G., Niedobitek A., Niemz J., Almeida L. N., Notarbartolo S., Ostendorf L., Pallett L. J., Patel A. A., Percin G. I., Peruzzi G., Pinti M., Pockley A. G., Pracht K., Prinz I., Pujol-Autonell I., Pulvirenti N., Quatrini L., Quinn K. M., Radbruch H., Rhys H., Rodrigo M. B., Romagnani C., Saggau C., Sakaguchi S., Sallusto F., Sanderink L., Sandrock I., Schauer C., Scheffold A., Scherer H. U., Schiemann M., Schildberg F. A., Schober K., Schoen J., Schuh W., Schuler T., Schulz A. R., Schulz S., Schulze J., Simonetti S., Singh J., Sitnik K. M., Stark R., Starossom S., Stehle C., Szelinski F., Tan L., Tarnok A., Tornack J., Tree T. I. M., van Beek J. J. P., van de Veen W., van Gisbergen K., Vasco C., Verheyden N. A., von Borstel A., Ward-Hartstonge K. A., Warnatz K., Waskow C., Wiedemann A., Wilharm A., Wing J., Wirz O., Wittner J., Yang J. H. M., Yang J., Cossarizza, A, Chang, H, Radbruch, A, Abrignani, S, Addo, R, Akdis, M, Andra, I, Andreata, F, Annunziato, F, Arranz, E, Bacher, P, Bari, S, Barnaba, V, Barros-Martins, J, Baumjohann, D, Beccaria, C, Bernardo, D, Boardman, D, Borger, J, Bottcher, C, Brockmann, L, Burns, M, Busch, D, Cameron, G, Cammarata, I, Cassotta, A, Chang, Y, Chirdo, F, Christakou, E, Cicin-Sain, L, Cook, L, Corbett, A, Cornelis, R, Cosmi, L, Davey, M, De Biasi, S, De Simone, G, del Zotto, G, Delacher, M, Di Rosa, F, Santo, J, Diefenbach, A, Dong, J, Dorner, T, Dress, R, Dutertre, C, Eckle, S, Eede, P, Evrard, M, Falk, C, Feuerer, M, Fillatreau, S, Fiz-Lopez, A, Follo, M, Foulds, G, Frobel, J, Gagliani, N, Galletti, G, Gangaev, A, Garbi, N, Garrote, J, Geginat, J, Gherardin, N, Gibellini, L, Ginhoux, F, Godfrey, D, Gruarin, P, Haftmann, C, Hansmann, L, Harpur, C, Hayday, A, Heine, G, Hernandez, D, Herrmann, M, Hoelsken, O, Huang, Q, Huber, S, Huber, J, Huehn, J, Hundemer, M, Hwang, W, Iannacone, M, Ivison, S, Jack, H, Jani, P, Keller, B, Kessler, N, Ketelaars, S, Knop, L, Knopf, J, Koay, H, Kobow, K, Kriegsmann, K, Kristyanto, H, Krueger, A, Kuehne, J, Kunze-Schumacher, H, Kvistborg, P, Kwok, I, Latorre, D, Lenz, D, Levings, M, Lino, A, Liotta, F, Long, H, Lugli, E, Macdonald, K, Maggi, L, Maini, M, Mair, F, Manta, C, Manz, R, Mashreghi, M, Mazzoni, A, Mccluskey, J, Mei, H, Melchers, F, Melzer, S, Mielenz, D, Monin, L, Moretta, L, Multhoff, G, Munoz, L, Munoz-Ruiz, M, Muscate, F, Natalini, A, Neumann, K, Ng, L, Niedobitek, A, Niemz, J, Almeida, L, Notarbartolo, S, Ostendorf, L, Pallett, L, Patel, A, Percin, G, Peruzzi, G, Pinti, M, Pockley, A, Pracht, K, Prinz, I, Pujol-Autonell, I, Pulvirenti, N, Quatrini, L, Quinn, K, Radbruch, H, Rhys, H, Rodrigo, M, Romagnani, C, Saggau, C, Sakaguchi, S, Sallusto, F, Sanderink, L, Sandrock, I, Schauer, C, Scheffold, A, Scherer, H, Schiemann, M, Schildberg, F, Schober, K, Schoen, J, Schuh, W, Schuler, T, Schulz, A, Schulz, S, Schulze, J, Simonetti, S, Singh, J, Sitnik, K, Stark, R, Starossom, S, Stehle, C, Szelinski, F, Tan, L, Tarnok, A, Tornack, J, Tree, T, van Beek, J, van de Veen, W, van Gisbergen, K, Vasco, C, Verheyden, N, von Borstel, A, Ward-Hartstonge, K, Warnatz, K, Waskow, C, Wiedemann, A, Wilharm, A, Wing, J, Wirz, O, Wittner, J, Yang, J, Cossarizza A., Chang H. -D., Radbruch A., Abrignani S., Addo R., Akdis M., Andra I., Andreata F., Annunziato F., Arranz E., Bacher P., Bari S., Barnaba V., Barros-Martins J., Baumjohann D., Beccaria C. G., Bernardo D., Boardman D. A., Borger J., Bottcher C., Brockmann L., Burns M., Busch D. H., Cameron G., Cammarata I., Cassotta A., Chang Y., Chirdo F. G., Christakou E., Cicin-Sain L., Cook L., Corbett A. J., Cornelis R., Cosmi L., Davey M. S., De Biasi S., De Simone G., del Zotto G., Delacher M., Di Rosa F., Santo J. D., Diefenbach A., Dong J., Dorner T., Dress R. J., Dutertre C. -A., Eckle S. B. G., Eede P., Evrard M., Falk C. S., Feuerer M., Fillatreau S., Fiz-Lopez A., Follo M., Foulds G. A., Frobel J., Gagliani N., Galletti G., Gangaev A., Garbi N., Garrote J. A., Geginat J., Gherardin N. A., Gibellini L., Ginhoux F., Godfrey D. I., Gruarin P., Haftmann C., Hansmann L., Harpur C. M., Hayday A. C., Heine G., Hernandez D. C., Herrmann M., Hoelsken O., Huang Q., Huber S., Huber J. E., Huehn J., Hundemer M., Hwang W. Y. K., Iannacone M., Ivison S. M., Jack H. -M., Jani P. K., Keller B., Kessler N., Ketelaars S., Knop L., Knopf J., Koay H. -F., Kobow K., Kriegsmann K., Kristyanto H., Krueger A., Kuehne J. F., Kunze-Schumacher H., Kvistborg P., Kwok I., Latorre D., Lenz D., Levings M. K., Lino A. C., Liotta F., Long H. M., Lugli E., MacDonald K. N., Maggi L., Maini M. K., Mair F., Manta C., Manz R. A., Mashreghi M. -F., Mazzoni A., McCluskey J., Mei H. E., Melchers F., Melzer S., Mielenz D., Monin L., Moretta L., Multhoff G., Munoz L. E., Munoz-Ruiz M., Muscate F., Natalini A., Neumann K., Ng L. G., Niedobitek A., Niemz J., Almeida L. N., Notarbartolo S., Ostendorf L., Pallett L. J., Patel A. A., Percin G. I., Peruzzi G., Pinti M., Pockley A. G., Pracht K., Prinz I., Pujol-Autonell I., Pulvirenti N., Quatrini L., Quinn K. M., Radbruch H., Rhys H., Rodrigo M. B., Romagnani C., Saggau C., Sakaguchi S., Sallusto F., Sanderink L., Sandrock I., Schauer C., Scheffold A., Scherer H. U., Schiemann M., Schildberg F. A., Schober K., Schoen J., Schuh W., Schuler T., Schulz A. R., Schulz S., Schulze J., Simonetti S., Singh J., Sitnik K. M., Stark R., Starossom S., Stehle C., Szelinski F., Tan L., Tarnok A., Tornack J., Tree T. I. M., van Beek J. J. P., van de Veen W., van Gisbergen K., Vasco C., Verheyden N. A., von Borstel A., Ward-Hartstonge K. A., Warnatz K., Waskow C., Wiedemann A., Wilharm A., Wing J., Wirz O., Wittner J., Yang J. H. M., and Yang J.
- Abstract
The third edition of Flow Cytometry Guidelines provides the key aspects to consider when performing flow cytometry experiments and includes comprehensive sections describing phenotypes and functional assays of all major human and murine immune cell subsets. Notably, the Guidelines contain helpful tables highlighting phenotypes and key differences between human and murine cells. Another useful feature of this edition is the flow cytometry analysis of clinical samples with examples of flow cytometry applications in the context of autoimmune diseases, cancers as well as acute and chronic infectious diseases. Furthermore, there are sections detailing tips, tricks and pitfalls to avoid. All sections are written and peer-reviewed by leading flow cytometry experts and immunologists, making this edition an essential and state-of-the-art handbook for basic and clinical researchers.
- Published
- 2021
9. The numerical treatment of the downward continuation problem for the gravity potential
- Author
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Schuh, W.-D., Kargoll, B., and Sansò, Fernando, editor
- Published
- 2004
- Full Text
- View/download PDF
10. The Processing of Band-Limited Measurements; Filtering Techniques in the Least Squares Context and in the Presence of Data GAPS
- Author
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Schuh, W.-D., Beutler, G., editor, Drinkwater, M. R., editor, Rummel, R., editor, and Von Steiger, R., editor
- Published
- 2003
- Full Text
- View/download PDF
11. Krüppel-like factor 2 controls IgA plasma cell compartmentalization and IgA responses.
- Author
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Wittner J, Schulz SR, Steinmetz TD, Berges J, Hauke M, Channell WM, Cunningham AF, Hauser AE, Hutloff A, Mielenz D, Jäck HM, and Schuh W
- Subjects
- Animals, Flagellin, Intestinal Mucosa, Mice, Immunoglobulin A metabolism, Kruppel-Like Transcription Factors genetics, Peyer's Patches, Plasma Cells
- Abstract
Krüppel-like factor 2 (KLF2) is a potent regulator of lymphocyte differentiation, activation and migration. However, its functional role in adaptive and humoral immunity remains elusive. Therefore, by using mice with a B cell-specific deletion of KLF2, we investigated plasma cell differentiation and antibody responses. We revealed that the deletion of KLF2 resulted in perturbed IgA plasma cell compartmentalization, characterized by the absence of IgA plasma cells in the bone marrow, their reductions in the spleen, the blood and the lamina propria of the colon and the small intestine, concomitant with their accumulation and retention in mesenteric lymph nodes and Peyer's patches. Most intriguingly, secretory IgA in the intestinal lumen was almost absent, dimeric serum IgA was drastically reduced and antigen-specific IgA responses to soluble Salmonella flagellin were blunted in KLF2-deficient mice. Perturbance of IgA plasma cell localization was caused by deregulation of CCR9, Integrin chains αM, α4, β7, and sphingosine-1-phosphate receptors. Hence, KLF2 not only orchestrates the localization of IgA plasma cells by fine-tuning chemokine receptors and adhesion molecules but also controls IgA responses to Salmonella flagellin., (© 2022. The Author(s).)
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- 2022
- Full Text
- View/download PDF
12. Impurity profiling of liothyronine sodium by means of reversed phase HPLC, high resolution mass spectrometry, on-line H/D exchange and UV/Vis absorption
- Author
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Ruggenthaler, M., Grass, J., Schuh, W., Huber, C. G., and Reischl, R. J.
- Published
- 2017
- Full Text
- View/download PDF
13. Effects of Inhomogeneous Data Coverage on Spectral Analysis
- Author
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Pail, R., Schuh, W.-D., Schwarz, Klaus-Peter, editor, Rummel, Reinhard, editor, Drewes, Hermann, editor, Bosch, Wolfgang, editor, and Hornik, Helmut, editor
- Published
- 2000
- Full Text
- View/download PDF
14. Rigorous fusion of gravity field, altimetry and stationary ocean models
- Author
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Becker, S., Freiwald, G., Losch, M., and Schuh, W.-D.
- Published
- 2012
- Full Text
- View/download PDF
15. MEK/Erk-based negative feedback mechanism involved in control of Steel Factor-triggered production of Krüppel-like factor 2 in mast cells
- Author
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Marschall, J.S., Wilhelm, T., Schuh, W., and Huber, M.
- Published
- 2012
- Full Text
- View/download PDF
16. The phenotypic characterisation of R2 generation transgenic rice plants under field and glasshouse conditions
- Author
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Lynch, P. T., Jones, J., Blackhall, N. W., Davey, M. R., Power, J. B., Cocking, E. C., Nelson, M. R., Bigelow, D. M., Orum, T. V., Orth, C. E., Schuh, W., Cassells, Alan C., editor, and Jones, Peter W., editor
- Published
- 1995
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- View/download PDF
17. Levothyroxine sodium revisited: A wholistic structural elucidation approach of new impurities via HPLC-HRMS/MS, on-line H/D exchange, NMR spectroscopy and chemical synthesis
- Author
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Ruggenthaler, M., Grass, J., Schuh, W., Huber, G C., and Reischl, R. J.
- Published
- 2017
- Full Text
- View/download PDF
18. A Tailored Computation of the Mean Dynamic Topography for a Consistent Integration into Ocean Circulation Models
- Author
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Becker, S., Losch, M., Brockmann, J. M., Freiwald, G., and Schuh, W.-D.
- Published
- 2014
- Full Text
- View/download PDF
19. Function of a deltaic silt deposit as a repository and long-term source of sulfate and related weathering products in a glaciofluvial aquifer derived from organic-rich shale (North Dakota, USA)
- Author
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Schuh, W. M. and Bottrell, S. H.
- Published
- 2014
- Full Text
- View/download PDF
20. Completion of Band-Limited Data Sets on the Sphere
- Author
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Schuh, W.-D., primary, Müller, S., additional, and Brockmann, J. M., additional
- Published
- 2014
- Full Text
- View/download PDF
21. Describing the Quality of Inequality Constrained Estimates
- Author
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Roese-Koerner, L., primary, Devaraju, B., additional, Schuh, W.-D., additional, and Sneeuw, N., additional
- Published
- 2014
- Full Text
- View/download PDF
22. Magic Square of Real Spectral and Time Series Analysis with an Application to Moving Average Processes
- Author
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Krasbutter, I., primary, Kargoll, B., additional, and Schuh, W.-D., additional
- Published
- 2014
- Full Text
- View/download PDF
23. Approximating covariance matrices estimated in multivariate models by estimated auto- and cross-covariances
- Author
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Koch, K. R., Kuhlmann, H., and Schuh, W.-D.
- Published
- 2010
- Full Text
- View/download PDF
24. Integration of the Monte Carlo Covariance Estimation Strategy into Tailored Solution Procedures for Large-Scale Least Squares Problems
- Author
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Alkhatib, H. and Schuh, W. -D.
- Published
- 2007
- Full Text
- View/download PDF
25. Krüppel-like factor 2: a central regulator of B cell differentiation and plasma cell homing.
- Author
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Wittner J and Schuh W
- Subjects
- B-Lymphocytes, Cell Differentiation, Transcription Factors, Humans, Kruppel-Like Transcription Factors genetics, Plasma Cells
- Abstract
The development of B cells, their activation and terminal differentiation into antibody-producing plasma cells are characterized by alternating phases of proliferation and quiescence that are controlled by complex transcriptional networks. The spatial and anatomical organization of B cells and plasma cells inside lymphoid organs as well as their migration within lymphoid structures and between organs are prerequisites for the generation and the maintenance of humoral immune responses. Transcription factors of the Krüppel-like family are critical regulators of immune cell differentiation, activation, and migration. Here, we discuss the functional relevance of Krüppel-like factor 2 (KLF2) for B cell development, B cell activation, plasma cell formation and maintenance. We elaborate on KLF2-mediated regulation of B cell and plasmablast migration in the context of immune responses. Moreover, we describe the importance of KLF2 for the onset and the progression of B cell-related diseases and malignancies., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Wittner and Schuh.)
- Published
- 2023
- Full Text
- View/download PDF
26. College student preferences of telepsychiatry.
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Schuh W
- Subjects
- Humans, Female, Young Adult, Adult, Male, Universities, Students psychology, Psychiatry, Telemedicine, Mental Disorders therapy
- Abstract
Objective: To identify differences in preferences related to telepsychiatry among college students who have and have not been diagnosed with a mental health condition in the last year., Participants: Students ( n = 537) at a medium-sized Midwestern university ( M
age = 21 years; 71% female)., Methods: A quantitative, causal-comparative design using an adapted version of the National College Health Assessment (NCHA). Differences in preferences among groups were analyzed by chi-square and Cramer's V analyses with a 95% confidence interval., Results: Students did not differ in their preferences or perceptions (confidentiality, time, cost, effectiveness) of face-to-face in-person compared to telecommunication treatment environments despite their mental health history. A majority of students (76%) would prefer seeing their regular provider if using telepsychiatry in the future., Conclusions: Implementing a higher education telepsychiatry model, especially within college health centers, could help students' access much-needed services while breaking down barriers such as transportation and wait lists.- Published
- 2023
- Full Text
- View/download PDF
27. Hydraulic Effects of Crop Management Systems on Nitrate Variability in a Confined Aquifer
- Author
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Schuh, W. M., Klinkebiel, D. L., and Seelig, B. D.
- Published
- 2004
- Full Text
- View/download PDF
28. Single-cell resolution of plasma cell fate programming in health and disease.
- Author
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Delaloy C, Schuh W, Jäck HM, Bonaud A, and Espéli M
- Subjects
- Animals, Humans, Cell Differentiation genetics, Cell Differentiation immunology, Chromatin Immunoprecipitation Sequencing, Immune System Diseases genetics, Immune System Diseases immunology, Plasma Cells immunology, RNA-Seq, Single-Cell Analysis
- Abstract
Long considered a homogeneous population dedicated to antibody secretion, plasma cell phenotypic and functional heterogeneity is increasingly recognized. Plasma cells were first segregated based on their maturation level, but the complexity of this subset might well be underestimated by this simple dichotomy. Indeed, in the last decade new functions have been attributed to plasma cells including but not limited to cytokine secretion. However, a proper characterization of plasma cell heterogeneity has remained elusive partly due to technical issues and cellular features that are specific to this cell type. Cell intrinsic and cell extrinsic signals could be at the origin of this heterogeneity. Recent advances in technologies such as single cell RNA-seq, ATAC-seq, or ChIP-seq on low cell numbers helped to elucidate the fate decision in other cell lineages and similar approaches could be implemented to evaluate the heterogeneous fate of activated B cells in health and disease. Here, we summarized published work shedding some lights on the stimuli and genetic program shaping B-cell terminal differentiation at the single cell level in mice and men. We also discuss the fate and heterogeneity of plasma cells during immune responses, vaccination, and in the frame of human plasma cell disorders., (© 2021 Wiley-VCH GmbH.)
- Published
- 2022
- Full Text
- View/download PDF
29. Maternal SARS-CoV-2 infection during pregnancy: possible impact on the infant.
- Author
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Morhart P, Mardin C, Rauh M, Jüngert J, Hammersen J, Kehl S, Schuh W, Maier-Wohlfart S, Hermes K, Neubert A, Schneider M, Hein A, Woelfle J, and Schneider H
- Subjects
- COVID-19 Vaccines, Female, Humans, Infant, Newborn, Infectious Disease Transmission, Vertical, Male, Pregnancy, Pregnancy Outcome, SARS-CoV-2, COVID-19, Pregnancy Complications, Infectious
- Abstract
The risk and potential consequences of mother-to-child transmission of severe acute respiratory syndrome-coronavirus type 2 (SARS-CoV-2) during pregnancy are still a matter of debate. We studied the impact of SARS-CoV-2 infection on 56 complete households, including 27 newborns whose mothers were pregnant when exposed to the virus. Two PCR-confirmed perinatal SARS-CoV-2 transmissions with mild symptoms in affected neonates were recorded. In addition, we observed a severe eye malformation (unilateral microphthalmia, optic nerve hypoplasia, and congenital retinopathy) associated with maternal SARS-CoV-2 infection in weeks 5 and 6 of embryonic development. This embryopathy could not be explained by other infectious agents, genetic factors, drug use, or maternal disease during pregnancy. Eight other women with a history of SARS-CoV-2 infection prior to gestational week 12, however, delivered healthy infants.Conclusion: The repeated occurrence of mother-to-child transmission in our cohort with risks that remain incompletely understood, such as long-term effects and the possibility of an embryopathy, should sensitize researchers and stimulate further studies as well as support COVID-19 vaccination recommendations for pregnant women. Trial registration number: NCT04741412. Date of registration: November 18, 2020 What is Known: •Materno-fetal transmission of severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2) during pregnancy has rarely been reported so far, but was demonstrated in isolated cases. What is New: •In a study of complete households with documented SARS-CoV-2 infection, including a cohort of pregnant women, we observed perinatal coronavirus transmission at a higher frequency than expected. •We also describe a newborn boy with an eye malformation reminiscent of rubella embryopathy but associated with early gestation SARS-CoV-2 infection of his mother. •A coronavirus-related embryopathy, reported here for the first time, is a finding that requires further investigation., (© 2021. The Author(s).)
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- 2022
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30. Effects of Microtopographically Concentrated Recharge on Nitrate Variability in a Confined Aquifer: Model Simulations
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Schuh, W. M. and Klinkebiel, D. L.
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- 2003
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31. The Effect of Reordering Strategies on Rounding Errors in Large, Sparse Equation Systems
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Ernst, A., primary and Schuh, W.-D., additional
- Published
- 2011
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32. Spatially restricted data distributions on the sphere: the method of orthonormalized functions and applications
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Pail, R., Plank, G., and Schuh, W.-D.
- Published
- 2001
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33. Fast Variance Component Estimation in GOCE Data Processing
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Brockmann, J.M., primary and Schuh, W. -D., additional
- Published
- 2010
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34. The intestine: A highly dynamic microenvironment for IgA plasma cells.
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Pracht K, Wittner J, Kagerer F, Jäck HM, and Schuh W
- Subjects
- Intestinal Mucosa, Cytokines, Immunoglobulin A, Plasma Cells, Intestines
- Abstract
To achieve longevity, IgA plasma cells require a sophisticated anatomical microenvironment that provides cytokines, cell-cell contacts, and nutrients as well as metabolites. The intestinal epithelium harbors cells with distinct functions and represents an important defense line. Anti-microbial peptide-producing paneth cells, mucus-secreting goblet cells and antigen-transporting microfold (M) cells cooperate to build a protective barrier against pathogens. In addition, intestinal epithelial cells are instrumental in the transcytosis of IgA to the gut lumen, and support plasma cell survival by producing the cytokines APRIL and BAFF. Moreover, nutrients are sensed through specialized receptors such as the aryl hydrocarbon receptor (AhR) by both, intestinal epithelial cells and immune cells. However, the intestinal epithelium is highly dynamic with a high cellular turn-over rate and exposure to changing microbiota and nutritional factors. In this review, we discuss the spatial interplay of the intestinal epithelium with plasma cells and its potential contribution to IgA plasma cell generation, homing, and longevity. Moreover, we describe the impact of nutritional AhR ligands on intestinal epithelial cell-IgA plasma cell interaction. Finally, we introduce spatial transcriptomics as a new technology to address open questions in intestinal IgA plasma cell biology., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Pracht, Wittner, Kagerer, Jäck and Schuh.)
- Published
- 2023
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35. Age-related Differences in Immune Reactions to SARS-CoV-2 Spike and Nucleocapsid Antigens.
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Morhart P, Kehl S, Schuh W, Hermes K, Meltendorf S, Neubert A, Schneider M, Brunner-Weinzierl M, Schneider H, and Lingel H
- Subjects
- Adult, Child, Female, Humans, Infant, Newborn, Pregnancy, CD8-Positive T-Lymphocytes immunology, Leukocytes, Mononuclear immunology, Nucleocapsid immunology, SARS-CoV-2, Age Factors, CD4-Positive T-Lymphocytes immunology, COVID-19 immunology, Cytokines immunology, Antigens, Viral immunology
- Abstract
Background/aim: The manifestation and severity of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections show a clear correlation to the age of a patient. The younger a person, the less likely the infection results in significant illness. To explore the immunological characteristics behind this phenomenon, we studied the course of SARS-CoV-2 infections in 11 households, including 8 children and 6 infants/neonates of women who got infected with SARS-CoV-2 during pregnancy., Materials and Methods: We investigated the immune responses of peripheral blood mononuclear cells (PBMCs), umbilical cord blood mononuclear cells (UCBCs), and T cells against spike and nucleocapsid antigens of SARS-COV-2 by flow cytometry and cytokine secretion assays., Results: Upon peptide stimulation, UCBC from neonates showed a strongly reduced IFN-γ production, as well as lower levels of IL-5, IL-13, and TNF-α alongside with decreased frequencies of surface CD137/PD-1 co-expressing CD4
+ and CD+8 T cells compared with adult PBMCs. The PBMC response of older children instead was characterized by elevated frequencies of IFN-γ+ CD4+ T cells, but significantly lower levels of multiple cytokines (IL-5, IL-6, IL-9, IL-10, IL-17A, and TNF-α) and a marked shift of the CD4+ /CD8+ T-cell ratio towards CD8+ T cells in comparison to adults., Conclusion: The increased severity of SARS-CoV-2 infections in adults could result from the strong cytokine production and lower potential to immunomodulate the excessive inflammation, while the limited IFN-γ production of responding T cells in infants/neonates and the additional higher frequencies of CD8+ T cells in older children may provide advantages during the course of a SARS-CoV-2 infection., (Copyright © 2023, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.)- Published
- 2023
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36. Regulation of CD95 expression and CD95-mediated cell death by interferon-γ in acute lymphoblastic leukemia with chromosomal translocation t(4;11)
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Dörrie, J, Schuh, W, Keil, A, Bongards, E, Greil, J, Fey, GH, and Zunino, SJ
- Published
- 1999
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37. The microRNA processing subunit DGCR8 is required for a T cell-dependent germinal center response.
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Daum P, Ottmann SR, Meinzinger J, Schulz SR, Côrte-Real J, Hauke M, Roth E, Schuh W, Mielenz D, Jäck HM, and Pracht K
- Subjects
- Mice, Animals, RNA-Binding Proteins genetics, RNA-Binding Proteins metabolism, T-Lymphocytes metabolism, Germinal Center metabolism, Immunoglobulin G metabolism, MicroRNAs genetics, MicroRNAs metabolism
- Abstract
We have previously shown that the microRNA (miRNA) processor complex consisting of the RNAse Drosha and the DiGeorge Critical Region (DGCR) 8 protein is essential for B cell maturation. To determine whether miRNA processing is required to initiate T cell-mediated antibody responses, we deleted DGCR8 in maturing B2 cells by crossing a mouse with loxP-flanked DGCR8 alleles with a CD23-Cre mouse. As expected, non-immunized mice showed reduced numbers of mature B2 cells and IgG-secreting cells and diminished serum IgG titers. In accordance, germinal centers and antigen-specific IgG-secreting cells were absent in mice immunized with T-dependent antigens. Therefore, DGCR8 is required to mount an efficient T-dependent antibody response. However, DGCR8 deletion in B1 cells was incomplete, resulting in unaltered B1 cell numbers and normal IgM and IgA titers in DGCR8-knock-out mice. Therefore, this mouse model could be used to analyze B1 responses in the absence of functional B2 cells., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Daum, Ottmann, Meinzinger, Schulz, Côrte-Real, Hauke, Roth, Schuh, Mielenz, Jäck and Pracht.)
- Published
- 2022
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38. Bayesian prediction of breeding values by accounting for genotype-by-environment interaction in self-pollinating crops
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BAUER, A. M., HOTI, F., REETZ, T. C., SCHUH, W.-D., LÉON, J., and SILLANPÄÄ, M. J.
- Published
- 2009
39. Development and validation of a food frequency index using nutritional biomarkers in a sample of middle-aged and older adults
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Freisling, H., Elmadfa, I., Schuh, W., and Wagner, K.-H.
- Published
- 2009
40. miR-148a controls metabolic programming and survival of mature CD19-negative plasma cells in mice.
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Pracht K, Meinzinger J, Schulz SR, Daum P, Côrte-Real J, Hauke M, Roth E, Kindermann D, Mielenz D, Schuh W, Wittmann J, and Jäck HM
- Subjects
- Animals, Antigens, CD19 metabolism, B-Lymphocytes cytology, B-Lymphocytes immunology, B-Lymphocytes metabolism, Biomarkers, Bone Marrow immunology, Bone Marrow metabolism, Cell Differentiation immunology, Cell Survival genetics, Cell Survival immunology, Epitopes, B-Lymphocyte immunology, Gene Knockdown Techniques, Immunophenotyping, Lymphocyte Count, Mice, Mice, Knockout, Plasma Cells cytology, Plasma Cells immunology, RNA Interference, Cell Differentiation genetics, Energy Metabolism, Gene Expression Regulation, MicroRNAs genetics, Plasma Cells metabolism
- Abstract
Long-lived antibody-secreting plasma cells are essential to establish humoral memory against pathogens. While a regulatory transcription factor network has been established in plasma cell differentiation, the regulatory role of miRNAs remains enigmatic. We have recently identified miR-148a as the most abundant miRNA in primary mouse and human plasma cells. To determine whether this plasma cell signature miRNA controls the in vivo development of B cells into long-lived plasma cells, we established mice with genomic, conditional, and inducible deletions of miR-148a. The analysis of miR-148a-deficient mice revealed reduced serum Ig, decreased numbers of newly formed plasmablasts and reduced CD19-negative, CD93-positive long-lived plasma cells. Transcriptome and metabolic analysis revealed an impaired glucose uptake, a reduced oxidative phosphorylation-based energy metabolism, and an altered abundance of homing receptors CXCR3 (increase) and CXCR4 (reduction) in miR-148a-deficient plasma cells. These findings support the role of miR-148a as a positive regulator of the maintenance of long-lived plasma cells., (© 2021 The Authors. European Journal of Immunology published by Wiley-VCH GmbH.)
- Published
- 2021
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41. The satellite-only gravity field model GOCO06s
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Kvas, A., Mayer-Gürr, T., Krauss, S., Brockmann, J., Schubert, T., Schuh, W., Pail, R., Gruber, T., Jäggi, A., and Meyer, U.
- Published
- 2019
42. The Earth's gravity field as seen by the GOCE satellite : an improved sixth release derived with the time-wise approach (GO_CONS_GCF_2_TIM_R6)
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Brockmann, J., Schubert, T., Mayer-Gürr, T., and Schuh, W.
- Published
- 2019
43. Mitochondrial respiration in B lymphocytes is essential for humoral immunity by controlling the flux of the TCA cycle.
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Urbanczyk S, Baris OR, Hofmann J, Taudte RV, Guegen N, Golombek F, Castiglione K, Meng X, Bozec A, Thomas J, Weckwerth L, Mougiakakos D, Schulz SR, Schuh W, Schlötzer-Schrehardt U, Steinmetz TD, Brodesser S, Wiesner RJ, and Mielenz D
- Subjects
- Animals, B-Lymphocytes, DNA, Mitochondrial metabolism, Glycolysis genetics, Lipopolysaccharides metabolism, Mice, Respiration, Citric Acid Cycle, Immunity, Humoral
- Abstract
To elucidate the function of oxidative phosphorylation (OxPhos) during B cell differentiation, we employ CD23Cre-driven expression of the dominant-negative K320E mutant of the mitochondrial helicase Twinkle (DNT). DNT-expression depletes mitochondrial DNA during B cell maturation, reduces the abundance of respiratory chain protein subunits encoded by mitochondrial DNA, and, consequently, respiratory chain super-complexes in activated B cells. Whereas B cell development in DNT mice is normal, B cell proliferation, germinal centers, class switch to IgG, plasma cell maturation, and T cell-dependent as well as T cell-independent humoral immunity are diminished. DNT expression dampens OxPhos but increases glycolysis in lipopolysaccharide and B cell receptor-activated cells. Lipopolysaccharide-activated DNT-B cells exhibit altered metabolites of glycolysis, the pentose phosphate pathway, and the tricarboxylic acid cycle and a lower amount of phosphatidic acid. Consequently, mTORC1 activity and BLIMP1 induction are curtailed, whereas HIF1α is stabilized. Hence, mitochondrial DNA controls the metabolism of activated B cells via OxPhos to foster humoral immunity., Competing Interests: Declaration of interests The authors declare no competing interests., (Copyright © 2022 The Authors. Published by Elsevier Inc. All rights reserved.)
- Published
- 2022
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44. Augmented neutralization of SARS-CoV-2 Omicron variant by boost vaccination and monoclonal antibodies.
- Author
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Schulz SR, Hoffmann M, Roth E, Pracht K, Burnett DL, Mazigi O, Schuh W, Manger B, Mielenz D, Goodnow CC, Christ D, Pöhlmann S, and Jäck HM
- Subjects
- Antibodies, Monoclonal, Antibodies, Neutralizing, Antibodies, Viral, BNT162 Vaccine, COVID-19 Vaccines, Humans, SARS-CoV-2, Vaccination, Antineoplastic Agents, Immunological, COVID-19
- Abstract
Effective vaccines and monoclonal antibodies have been developed against coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). However, the appearance of virus variants with higher transmissibility and pathogenicity is a major concern because of their potential to escape vaccines and clinically approved SARS-CoV-2- antibodies. Here, we use flow cytometry-based binding and pseudotyped SARS-CoV-2 neutralization assays to determine the efficacy of boost immunization and therapeutic antibodies to neutralize the dominant Omicron variant. We provide compelling evidence that the third vaccination with BNT162b2 increases the amount of neutralizing serum antibodies against Delta and Omicron variants, albeit to a lower degree when compared to the parental Wuhan strain. Therefore, a third vaccination is warranted to increase titers of protective serum antibodies, especially in the case of the Omicron variant. We also found that most clinically approved and otherwise potent therapeutic antibodies against the Delta variant failed to recognize and neutralize the Omicron variant. In contrast, some antibodies under preclinical development potentially neutralized the Omicron variant. Our studies also support using a flow cytometry-based antibody binding assay to rapidly monitor therapeutic candidates and serum titers against emerging SARS-CoV-2 variants., (© 2022 The Authors. European Journal of Immunology published by Wiley-VCH GmbH.)
- Published
- 2022
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45. A pair of noncompeting neutralizing human monoclonal antibodies protecting from disease in a SARS-CoV-2 infection model.
- Author
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Peter AS, Roth E, Schulz SR, Fraedrich K, Steinmetz T, Damm D, Hauke M, Richel E, Mueller-Schmucker S, Habenicht K, Eberlein V, Issmail L, Uhlig N, Dolles S, Grüner E, Peterhoff D, Ciesek S, Hoffmann M, Pöhlmann S, McKay PF, Shattock RJ, Wölfel R, Socher E, Wagner R, Eichler J, Sticht H, Schuh W, Neipel F, Ensser A, Mielenz D, Tenbusch M, Winkler TH, Grunwald T, Überla K, and Jäck HM
- Subjects
- Animals, Antibodies, Monoclonal, Antibodies, Neutralizing, Antibodies, Viral, Humans, Mice, SARS-CoV-2, COVID-19, Spike Glycoprotein, Coronavirus
- Abstract
TRIANNI mice carry an entire set of human immunoglobulin V region gene segments and are a powerful tool to rapidly isolate human monoclonal antibodies. After immunizing these mice with DNA encoding the spike protein of SARS-CoV-2 and boosting with spike protein, we identified 29 hybridoma antibodies that reacted with the SARS-CoV-2 spike protein. Nine antibodies neutralize SARS-CoV-2 infection at IC50 values in the subnanomolar range. ELISA-binding studies and DNA sequence analyses revealed one cluster of three clonally related neutralizing antibodies that target the receptor-binding domain and compete with the cellular receptor hACE2. A second cluster of six clonally related neutralizing antibodies bind to the N-terminal domain of the spike protein without competing with the binding of hACE2 or cluster 1 antibodies. SARS-CoV-2 mutants selected for resistance to an antibody from one cluster are still neutralized by an antibody from the other cluster. Antibodies from both clusters markedly reduced viral spread in mice transgenic for human ACE2 and protected the animals from SARS-CoV-2-induced weight loss. The two clusters of potent noncompeting SARS-CoV-2 neutralizing antibodies provide potential candidates for therapy and prophylaxis of COVID-19. The study further supports transgenic animals with a human immunoglobulin gene repertoire as a powerful platform in pandemic preparedness initiatives., (© 2021 The Authors. European Journal of Immunology published by Wiley-VCH GmbH.)
- Published
- 2022
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46. Guidelines for the use of flow cytometry and cell sorting in immunological studies (second edition)
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Cossarizza, A, Chang, H-D, Radbruch, A, Acs, A, Adam, D, Adam-Klages, S, Agace, WW, Aghaeepour, N, Akdis, M, Allez, M, Almeida, LN, Alvisi, G, Anderson, G, Andrae, I, Annunziato, F, Anselmo, A, Bacher, P, Baldari, CT, Bari, S, Barnaba, V, Barros-Martins, J, Battistini, L, Bauer, W, Baumgart, S, Baumgarth, N, Baumjohann, D, Baying, B, Bebawy, M, Becher, B, Beisker, W, Benes, V, Beyaert, R, Blanco, A, Boardman, DA, Bogdan, C, Borger, JG, Borsellino, G, Boulais, PE, Bradford, JA, Brenner, D, Brinkman, RR, Brooks, AES, Busch, DH, Buescher, M, Bushnell, TP, Calzetti, F, Cameron, G, Cammarata, I, Cao, X, Cardell, SL, Casola, S, Cassatella, MA, Cavani, A, Celada, A, Chatenoud, L, Chattopadhyay, PK, Chow, S, Christakou, E, Cicin-Sain, L, Clerici, M, Colombo, FS, Cook, L, Cooke, A, Cooper, AM, Corbett, AJ, Cosma, A, Cosmi, L, Coulie, PG, Cumano, A, Cvetkovic, L, Dang, VD, Dang-Heine, C, Davey, MS, Davies, D, De Biasi, S, Del Zotto, G, Dela Cruz, GV, Delacher, M, Della Bella, S, Dellabona, P, Deniz, G, Dessing, M, Di Santo, JP, Diefenbach, A, Dieli, F, Dolf, A, Doerner, T, Dress, RJ, Dudziak, D, Dustin, M, Dutertre, C-A, Ebner, F, Eckle, SBG, Edinger, M, Eede, P, Ehrhardt, GRA, Eich, M, Engel, P, Engelhardt, B, Erdei, A, Esser, C, Everts, B, Evrard, M, Falk, CS, Fehniger, TA, Felipo-Benavent, M, Ferry, H, Feuerer, M, Filby, A, Filkor, K, Fillatreau, S, Follo, M, Foerster, I, Foster, J, Foulds, GA, Frehse, B, Frenette, PS, Frischbutter, S, Fritzsche, W, Galbraith, DW, Gangaev, A, Garbi, N, Gaudilliere, B, Gazzinelli, RT, Geginat, J, Gerner, W, Gherardin, NA, Ghoreschi, K, Gibellini, L, Ginhoux, F, Goda, K, Godfrey, DI, Goettlinger, C, Gonzalez-Navajas, JM, Goodyear, CS, Gori, A, Grogan, JL, Grummitt, D, Gruetzkau, A, Haftmann, C, Hahn, J, Hammad, H, Haemmerling, G, Hansmann, L, Hansson, G, Harpur, CM, Hartmann, S, Hauser, A, Hauser, AE, Haviland, DL, Hedley, D, Hernandez, DC, Herrera, G, Herrmann, M, Hess, C, Hoefer, T, Hoffmann, P, Hogquist, K, Holland, T, Hollt, T, Holmdahl, R, Hombrink, P, Houston, JP, Hoyer, BF, Huang, B, Huang, F-P, Huber, JE, Huehn, J, Hundemer, M, Hunter, CA, Hwang, WYK, Iannone, A, Ingelfinger, F, Ivison, SM, Jaeck, H-M, Jani, PK, Javega, B, Jonjic, S, Kaiser, T, Kalina, T, Kamradt, T, Kaufmann, SHE, Keller, B, Ketelaars, SLC, Khalilnezhad, A, Khan, S, Kisielow, J, Klenerman, P, Knopf, J, Koay, H-F, Kobow, K, Kolls, JK, Kong, WT, Kopf, M, Korn, T, Kriegsmann, K, Kristyanto, H, Kroneis, T, Krueger, A, Kuehne, J, Kukat, C, Kunkel, D, Kunze-Schumacher, H, Kurosaki, T, Kurts, C, Kvistborg, P, Kwok, I, Landry, J, Lantz, O, Lanuti, P, LaRosa, F, Lehuen, A, LeibundGut-Landmann, S, Leipold, MD, Leung, LYT, Levings, MK, Lino, AC, Liotta, F, Litwin, V, Liu, Y, Ljunggren, H-G, Lohoff, M, Lombardi, G, Lopez, L, Lopez-Botet, M, Lovett-Racke, AE, Lubberts, E, Luche, H, Ludewig, B, Lugli, E, Lunemann, S, Maecker, HT, Maggi, L, Maguire, O, Mair, F, Mair, KH, Mantovani, A, Manz, RA, Marshall, AJ, Martinez-Romero, A, Martrus, G, Marventano, I, Maslinski, W, Matarese, G, Mattioli, AV, Maueroder, C, Mazzoni, A, McCluskey, J, McGrath, M, McGuire, HM, McInnes, IB, Mei, HE, Melchers, F, Melzer, S, Mielenz, D, Miller, SD, Mills, KHG, Minderman, H, Mjosberg, J, Moore, J, Moran, B, Moretta, L, Mosmann, TR, Mueller, S, Multhoff, G, Munoz, LE, Munz, C, Nakayama, T, Nasi, M, Neumann, K, Ng, LG, Niedobitek, A, Nourshargh, S, Nunez, G, O'Connor, J-E, Ochel, A, Oja, A, Ordonez, D, Orfao, A, Orlowski-Oliver, E, Ouyang, W, Oxenius, A, Palankar, R, Panse, I, Pattanapanyasat, K, Paulsen, M, Pavlinic, D, Penter, L, Peterson, P, Peth, C, Petriz, J, Piancone, F, Pickl, WF, Piconese, S, Pinti, M, Pockley, AG, Podolska, MJ, Poon, Z, Pracht, K, Prinz, I, Pucillo, CEM, Quataert, SA, Quatrini, L, Quinn, KM, Radbruch, H, Radstake, TRDJ, Rahmig, S, Rahn, H-P, Rajwa, B, Ravichandran, G, Raz, Y, Rebhahn, JA, Recktenwald, D, Reimer, D, Reis e Sousa, C, Remmerswaal, EBM, Richter, L, Rico, LG, Riddell, A, Rieger, AM, Robinson, JP, Romagnani, C, Rubartelli, A, Ruland, J, Saalmueller, A, Saeys, Y, Saito, T, Sakaguchi, S, Sala-de-Oyanguren, F, Samstag, Y, Sanderson, S, Sandrock, I, Santoni, A, Sanz, RB, Saresella, M, Sautes-Fridman, C, Sawitzki, B, Schadt, L, Scheffold, A, Scherer, HU, Schiemann, M, Schildberg, FA, Schimisky, E, Schlitzer, A, Schlosser, J, Schmid, S, Schmitt, S, Schober, K, Schraivogel, D, Schuh, W, Schueler, T, Schulte, R, Schulz, AR, Schulz, SR, Scotta, C, Scott-Algara, D, Sester, DP, Shankey, TV, Silva-Santos, B, Simon, AK, Sitnik, KM, Sozzani, S, Speiser, DE, Spidlen, J, Stahlberg, A, Stall, AM, Stanley, N, Stark, R, Stehle, C, Steinmetz, T, Stockinger, H, Takahama, Y, Takeda, K, Tan, L, Tarnok, A, Tiegs, G, Toldi, G, Tornack, J, Traggiai, E, Trebak, M, Tree, TIM, Trotter, J, Trowsdale, J, Tsoumakidou, M, Ulrich, H, Urbanczyk, S, van de Veen, W, van den Broek, M, van der Pol, E, Van Gassen, S, Van Isterdael, G, van Lier, RAW, Veldhoen, M, Vento-Asturias, S, Vieira, P, Voehringer, D, Volk, H-D, von Borstel, A, von Volkmann, K, Waisman, A, Walker, RV, Wallace, PK, Wang, SA, Wang, XM, Ward, MD, Ward-Hartstonge, KA, Warnatz, K, Warnes, G, Warth, S, Waskow, C, Watson, JV, Watzl, C, Wegener, L, Weisenburger, T, Wiedemann, A, Wienands, J, Wilharm, A, Wilkinson, RJ, Willimsky, G, Wing, JB, Winkelmann, R, Winkler, TH, Wirz, OF, Wong, A, Wurst, P, Yang, JHM, Yang, J, Yazdanbakhsh, M, Yu, L, Yue, A, Zhang, H, Zhao, Y, Ziegler, SM, Zielinski, C, Zimmermann, J, Zychlinsky, A, Cossarizza, A, Chang, H-D, Radbruch, A, Acs, A, Adam, D, Adam-Klages, S, Agace, WW, Aghaeepour, N, Akdis, M, Allez, M, Almeida, LN, Alvisi, G, Anderson, G, Andrae, I, Annunziato, F, Anselmo, A, Bacher, P, Baldari, CT, Bari, S, Barnaba, V, Barros-Martins, J, Battistini, L, Bauer, W, Baumgart, S, Baumgarth, N, Baumjohann, D, Baying, B, Bebawy, M, Becher, B, Beisker, W, Benes, V, Beyaert, R, Blanco, A, Boardman, DA, Bogdan, C, Borger, JG, Borsellino, G, Boulais, PE, Bradford, JA, Brenner, D, Brinkman, RR, Brooks, AES, Busch, DH, Buescher, M, Bushnell, TP, Calzetti, F, Cameron, G, Cammarata, I, Cao, X, Cardell, SL, Casola, S, Cassatella, MA, Cavani, A, Celada, A, Chatenoud, L, Chattopadhyay, PK, Chow, S, Christakou, E, Cicin-Sain, L, Clerici, M, Colombo, FS, Cook, L, Cooke, A, Cooper, AM, Corbett, AJ, Cosma, A, Cosmi, L, Coulie, PG, Cumano, A, Cvetkovic, L, Dang, VD, Dang-Heine, C, Davey, MS, Davies, D, De Biasi, S, Del Zotto, G, Dela Cruz, GV, Delacher, M, Della Bella, S, Dellabona, P, Deniz, G, Dessing, M, Di Santo, JP, Diefenbach, A, Dieli, F, Dolf, A, Doerner, T, Dress, RJ, Dudziak, D, Dustin, M, Dutertre, C-A, Ebner, F, Eckle, SBG, Edinger, M, Eede, P, Ehrhardt, GRA, Eich, M, Engel, P, Engelhardt, B, Erdei, A, Esser, C, Everts, B, Evrard, M, Falk, CS, Fehniger, TA, Felipo-Benavent, M, Ferry, H, Feuerer, M, Filby, A, Filkor, K, Fillatreau, S, Follo, M, Foerster, I, Foster, J, Foulds, GA, Frehse, B, Frenette, PS, Frischbutter, S, Fritzsche, W, Galbraith, DW, Gangaev, A, Garbi, N, Gaudilliere, B, Gazzinelli, RT, Geginat, J, Gerner, W, Gherardin, NA, Ghoreschi, K, Gibellini, L, Ginhoux, F, Goda, K, Godfrey, DI, Goettlinger, C, Gonzalez-Navajas, JM, Goodyear, CS, Gori, A, Grogan, JL, Grummitt, D, Gruetzkau, A, Haftmann, C, Hahn, J, Hammad, H, Haemmerling, G, Hansmann, L, Hansson, G, Harpur, CM, Hartmann, S, Hauser, A, Hauser, AE, Haviland, DL, Hedley, D, Hernandez, DC, Herrera, G, Herrmann, M, Hess, C, Hoefer, T, Hoffmann, P, Hogquist, K, Holland, T, Hollt, T, Holmdahl, R, Hombrink, P, Houston, JP, Hoyer, BF, Huang, B, Huang, F-P, Huber, JE, Huehn, J, Hundemer, M, Hunter, CA, Hwang, WYK, Iannone, A, Ingelfinger, F, Ivison, SM, Jaeck, H-M, Jani, PK, Javega, B, Jonjic, S, Kaiser, T, Kalina, T, Kamradt, T, Kaufmann, SHE, Keller, B, Ketelaars, SLC, Khalilnezhad, A, Khan, S, Kisielow, J, Klenerman, P, Knopf, J, Koay, H-F, Kobow, K, Kolls, JK, Kong, WT, Kopf, M, Korn, T, Kriegsmann, K, Kristyanto, H, Kroneis, T, Krueger, A, Kuehne, J, Kukat, C, Kunkel, D, Kunze-Schumacher, H, Kurosaki, T, Kurts, C, Kvistborg, P, Kwok, I, Landry, J, Lantz, O, Lanuti, P, LaRosa, F, Lehuen, A, LeibundGut-Landmann, S, Leipold, MD, Leung, LYT, Levings, MK, Lino, AC, Liotta, F, Litwin, V, Liu, Y, Ljunggren, H-G, Lohoff, M, Lombardi, G, Lopez, L, Lopez-Botet, M, Lovett-Racke, AE, Lubberts, E, Luche, H, Ludewig, B, Lugli, E, Lunemann, S, Maecker, HT, Maggi, L, Maguire, O, Mair, F, Mair, KH, Mantovani, A, Manz, RA, Marshall, AJ, Martinez-Romero, A, Martrus, G, Marventano, I, Maslinski, W, Matarese, G, Mattioli, AV, Maueroder, C, Mazzoni, A, McCluskey, J, McGrath, M, McGuire, HM, McInnes, IB, Mei, HE, Melchers, F, Melzer, S, Mielenz, D, Miller, SD, Mills, KHG, Minderman, H, Mjosberg, J, Moore, J, Moran, B, Moretta, L, Mosmann, TR, Mueller, S, Multhoff, G, Munoz, LE, Munz, C, Nakayama, T, Nasi, M, Neumann, K, Ng, LG, Niedobitek, A, Nourshargh, S, Nunez, G, O'Connor, J-E, Ochel, A, Oja, A, Ordonez, D, Orfao, A, Orlowski-Oliver, E, Ouyang, W, Oxenius, A, Palankar, R, Panse, I, Pattanapanyasat, K, Paulsen, M, Pavlinic, D, Penter, L, Peterson, P, Peth, C, Petriz, J, Piancone, F, Pickl, WF, Piconese, S, Pinti, M, Pockley, AG, Podolska, MJ, Poon, Z, Pracht, K, Prinz, I, Pucillo, CEM, Quataert, SA, Quatrini, L, Quinn, KM, Radbruch, H, Radstake, TRDJ, Rahmig, S, Rahn, H-P, Rajwa, B, Ravichandran, G, Raz, Y, Rebhahn, JA, Recktenwald, D, Reimer, D, Reis e Sousa, C, Remmerswaal, EBM, Richter, L, Rico, LG, Riddell, A, Rieger, AM, Robinson, JP, Romagnani, C, Rubartelli, A, Ruland, J, Saalmueller, A, Saeys, Y, Saito, T, Sakaguchi, S, Sala-de-Oyanguren, F, Samstag, Y, Sanderson, S, Sandrock, I, Santoni, A, Sanz, RB, Saresella, M, Sautes-Fridman, C, Sawitzki, B, Schadt, L, Scheffold, A, Scherer, HU, Schiemann, M, Schildberg, FA, Schimisky, E, Schlitzer, A, Schlosser, J, Schmid, S, Schmitt, S, Schober, K, Schraivogel, D, Schuh, W, Schueler, T, Schulte, R, Schulz, AR, Schulz, SR, Scotta, C, Scott-Algara, D, Sester, DP, Shankey, TV, Silva-Santos, B, Simon, AK, Sitnik, KM, Sozzani, S, Speiser, DE, Spidlen, J, Stahlberg, A, Stall, AM, Stanley, N, Stark, R, Stehle, C, Steinmetz, T, Stockinger, H, Takahama, Y, Takeda, K, Tan, L, Tarnok, A, Tiegs, G, Toldi, G, Tornack, J, Traggiai, E, Trebak, M, Tree, TIM, Trotter, J, Trowsdale, J, Tsoumakidou, M, Ulrich, H, Urbanczyk, S, van de Veen, W, van den Broek, M, van der Pol, E, Van Gassen, S, Van Isterdael, G, van Lier, RAW, Veldhoen, M, Vento-Asturias, S, Vieira, P, Voehringer, D, Volk, H-D, von Borstel, A, von Volkmann, K, Waisman, A, Walker, RV, Wallace, PK, Wang, SA, Wang, XM, Ward, MD, Ward-Hartstonge, KA, Warnatz, K, Warnes, G, Warth, S, Waskow, C, Watson, JV, Watzl, C, Wegener, L, Weisenburger, T, Wiedemann, A, Wienands, J, Wilharm, A, Wilkinson, RJ, Willimsky, G, Wing, JB, Winkelmann, R, Winkler, TH, Wirz, OF, Wong, A, Wurst, P, Yang, JHM, Yang, J, Yazdanbakhsh, M, Yu, L, Yue, A, Zhang, H, Zhao, Y, Ziegler, SM, Zielinski, C, Zimmermann, J, and Zychlinsky, A
- Abstract
These guidelines are a consensus work of a considerable number of members of the immunology and flow cytometry community. They provide the theory and key practical aspects of flow cytometry enabling immunologists to avoid the common errors that often undermine immunological data. Notably, there are comprehensive sections of all major immune cell types with helpful Tables detailing phenotypes in murine and human cells. The latest flow cytometry techniques and applications are also described, featuring examples of the data that can be generated and, importantly, how the data can be analysed. Furthermore, there are sections detailing tips, tricks and pitfalls to avoid, all written and peer-reviewed by leading experts in the field, making this an essential research companion.
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- 2019
47. Guidelines for the use of flow cytometry and cell sorting in immunological studies (third edition).
- Author
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Cossarizza A, Chang HD, Radbruch A, Abrignani S, Addo R, Akdis M, Andrä I, Andreata F, Annunziato F, Arranz E, Bacher P, Bari S, Barnaba V, Barros-Martins J, Baumjohann D, Beccaria CG, Bernardo D, Boardman DA, Borger J, Böttcher C, Brockmann L, Burns M, Busch DH, Cameron G, Cammarata I, Cassotta A, Chang Y, Chirdo FG, Christakou E, Čičin-Šain L, Cook L, Corbett AJ, Cornelis R, Cosmi L, Davey MS, De Biasi S, De Simone G, Del Zotto G, Delacher M, Di Rosa F, Di Santo J, Diefenbach A, Dong J, Dörner T, Dress RJ, Dutertre CA, Eckle SBG, Eede P, Evrard M, Falk CS, Feuerer M, Fillatreau S, Fiz-Lopez A, Follo M, Foulds GA, Fröbel J, Gagliani N, Galletti G, Gangaev A, Garbi N, Garrote JA, Geginat J, Gherardin NA, Gibellini L, Ginhoux F, Godfrey DI, Gruarin P, Haftmann C, Hansmann L, Harpur CM, Hayday AC, Heine G, Hernández DC, Herrmann M, Hoelsken O, Huang Q, Huber S, Huber JE, Huehn J, Hundemer M, Hwang WYK, Iannacone M, Ivison SM, Jäck HM, Jani PK, Keller B, Kessler N, Ketelaars S, Knop L, Knopf J, Koay HF, Kobow K, Kriegsmann K, Kristyanto H, Krueger A, Kuehne JF, Kunze-Schumacher H, Kvistborg P, Kwok I, Latorre D, Lenz D, Levings MK, Lino AC, Liotta F, Long HM, Lugli E, MacDonald KN, Maggi L, Maini MK, Mair F, Manta C, Manz RA, Mashreghi MF, Mazzoni A, McCluskey J, Mei HE, Melchers F, Melzer S, Mielenz D, Monin L, Moretta L, Multhoff G, Muñoz LE, Muñoz-Ruiz M, Muscate F, Natalini A, Neumann K, Ng LG, Niedobitek A, Niemz J, Almeida LN, Notarbartolo S, Ostendorf L, Pallett LJ, Patel AA, Percin GI, Peruzzi G, Pinti M, Pockley AG, Pracht K, Prinz I, Pujol-Autonell I, Pulvirenti N, Quatrini L, Quinn KM, Radbruch H, Rhys H, Rodrigo MB, Romagnani C, Saggau C, Sakaguchi S, Sallusto F, Sanderink L, Sandrock I, Schauer C, Scheffold A, Scherer HU, Schiemann M, Schildberg FA, Schober K, Schoen J, Schuh W, Schüler T, Schulz AR, Schulz S, Schulze J, Simonetti S, Singh J, Sitnik KM, Stark R, Starossom S, Stehle C, Szelinski F, Tan L, Tarnok A, Tornack J, Tree TIM, van Beek JJP, van de Veen W, van Gisbergen K, Vasco C, Verheyden NA, von Borstel A, Ward-Hartstonge KA, Warnatz K, Waskow C, Wiedemann A, Wilharm A, Wing J, Wirz O, Wittner J, Yang JHM, and Yang J
- Subjects
- Animals, Chronic Disease, Humans, Mice, Practice Guidelines as Topic, Autoimmune Diseases immunology, Flow Cytometry, Infections immunology, Neoplasms immunology
- Abstract
The third edition of Flow Cytometry Guidelines provides the key aspects to consider when performing flow cytometry experiments and includes comprehensive sections describing phenotypes and functional assays of all major human and murine immune cell subsets. Notably, the Guidelines contain helpful tables highlighting phenotypes and key differences between human and murine cells. Another useful feature of this edition is the flow cytometry analysis of clinical samples with examples of flow cytometry applications in the context of autoimmune diseases, cancers as well as acute and chronic infectious diseases. Furthermore, there are sections detailing tips, tricks and pitfalls to avoid. All sections are written and peer-reviewed by leading flow cytometry experts and immunologists, making this edition an essential and state-of-the-art handbook for basic and clinical researchers., (© 2021 Wiley-VCH GmbH.)
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- 2021
- Full Text
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48. A surrogate cell-based SARS-CoV-2 spike blocking assay.
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Schuh W, Baus L, Steinmetz T, Schulz SR, Weckwerth L, Roth E, Hauke M, Krause S, Morhart P, Rauh M, Hoffmann M, Vesper N, Reth M, Schneider H, Jäck HM, and Mielenz D
- Subjects
- Antibodies, Blocking immunology, Antibodies, Neutralizing immunology, COVID-19 immunology, Humans, SARS-CoV-2, Spike Glycoprotein, Coronavirus immunology, Antibodies, Blocking blood, Antibodies, Neutralizing blood, Antibodies, Viral analysis, COVID-19 diagnosis, COVID-19 Serological Testing methods, Flow Cytometry methods
- Abstract
To monitor infection by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and successful vaccination against coronavirus disease 2019 (COVID-19), the kinetics of neutralizing or blocking anti-SARS-CoV-2 antibody titers need to be assessed. Here, we report the development of a quick and inexpensive surrogate SARS-CoV-2 blocking assay (SUBA) using immobilized recombinant human angiotensin-converting enzyme 2 (hACE2) and human cells expressing the native form of surface SARS-CoV-2 spike protein. Spike protein-expressing cells bound to hACE2 in the absence or presence of blocking antibodies were quantified by measuring the optical density of cell-associated crystal violet in a spectrophotometer. The advantages are that SUBA is a fast and inexpensive assay, which does not require biosafety level 2- or 3-approved laboratories. Most importantly, SUBA detects blocking antibodies against the native trimeric cell-bound SARS-CoV-2 spike protein and can be rapidly adjusted to quickly pre-screen already approved therapeutic antibodies or sera from vaccinated individuals for their ACE2 blocking activities against any emerging SARS-CoV-2 variants., (© 2021 The Authors. European Journal of Immunology published by Wiley-VCH GmbH.)
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- 2021
- Full Text
- View/download PDF
49. Krüppel-like Factor 2 (KLF2) in Immune Cell Migration.
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Wittner J and Schuh W
- Abstract
Krüppel-like factor 2 (KLF2), a transcription factor of the krüppel-like family, is a key regulator of activation, differentiation, and migration processes in various cell types. In this review, we focus on the functional relevance of KLF2 in immune cell migration and homing. We summarize the key functions of KLF2 in the regulation of chemokine receptors and adhesion molecules and discuss the relevance of the KLF2-mediated control of immune cell migration in the context of immune responses, infections, and diseases.
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- 2021
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50. Increased risk of chronic fatigue and hair loss following COVID-19 in individuals with hypohidrotic ectodermal dysplasia.
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Hennig V, Schuh W, Neubert A, Mielenz D, Jäck HM, and Schneider H
- Subjects
- Adolescent, Adult, Alopecia, Child, Humans, Longitudinal Studies, Middle Aged, SARS-CoV-2, Spike Glycoprotein, Coronavirus, Young Adult, COVID-19, Ectodermal Dysplasia 1, Anhidrotic, Fatigue Syndrome, Chronic
- Abstract
Background: Hypohidrotic ectodermal dysplasia (HED) is a group of genodermatoses in which deficient ectodysplasin A signalling leads to maldevelopment of skin appendages, various eccrine glands, and teeth. Individuals with HED often have disrupted epithelial barriers and, therefore, were suspected to be more susceptible to coronavirus infection., Methods: 56 households with at least one member who had coronavirus disease of 2019 (COVID-19) were enrolled in a longitudinal study to compare the course of illness, immune responses, and long-term consequences of severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2) infection in HED patients (n = 15, age 9-52 years) and control subjects of the same age group (n = 149)., Results: In 14 HED patients, mild or moderate typical COVID-19 symptoms were observed that lasted for 4-45 days. Fever during the first days sometimes required external cooling measures. The course of COVID-19 was similar to that in control subjects if patients developed antibodies blocking the SARS-CoV-2 spike protein. Five out of six HED patients with completely abrogated ectodysplasin A signalling (83%) suffered from chronic, in two cases very severe fatigue following COVID-19, while only 25% of HED patients with residual activity of this pathway and 21% of control subjects recovering from COVID-19 experienced postinfectious fatigue. Hair loss after COVID-19 was also more frequent among HED patients (64%) than in the control group (13%)., Conclusions: HED appears to be associated with an increased risk of long-term consequences of a SARS-CoV-2 infection. Preventive vaccination against COVID-19 should be recommended for individuals affected by this rare genetic disorder., (© 2021. The Author(s).)
- Published
- 2021
- Full Text
- View/download PDF
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