Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Christoph, Kilian"'
Autor:
Christoph Kilian, Hanna Ulrich, Viktor A. Zouboulis, Paulina Sprezyna, Jasmin Schreiber, Tomer Landsberger, Maren Büttner, Moshe Biton, Eduardo J. Villablanca, Samuel Huber, Lorenz Adlung
Publikováno v:
npj Systems Biology and Applications, Vol 10, Iss 1, Pp 1-9 (2024)
Abstract Single-cell-based methods such as flow cytometry or single-cell mRNA sequencing (scRNA-seq) allow deep molecular and cellular profiling of immunological processes. Despite their high throughput, however, these measurements represent only a s
Externí odkaz:
https://doaj.org/article/dfc656f64e754da59ca2a0d5aea18f89
Autor:
Patricia Bartsch, Christoph Kilian, Malte Hellmig, Hans-Joachim Paust, Alina Borchers, Amirrtavarshni Sivayoganathan, Leon Enk, Yu Zhao, Nikhat Shaikh, Henning Büttner, Milagros N Wong, Victor G Puelles, Thorsten Wiech, Richard Flavell, Tobias B Huber, Jan-Eric Turner, Stefan Bonn, Samuel Huber, Nicola Gagliani, Hans-Willi Mittrücker, Holger Rohde, Ulf Panzer, Christian F Krebs
Publikováno v:
PLoS Pathogens, Vol 18, Iss 4, p e1010430 (2022)
Staphylococcus aureus is frequently detected in patients with sepsis and thus represents a major health burden worldwide. CD4+ T helper cells are involved in the immune response to S. aureus by supporting antibody production and phagocytosis. In part
Externí odkaz:
https://doaj.org/article/380fd4269d2449729d87e44af873b2c2
Autor:
Mohamed Marouf, Pierre Machart, Vikas Bansal, Christoph Kilian, Daniel S. Magruder, Christian F. Krebs, Stefan Bonn
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-12 (2020)
Low sample numbers often limit the robustness of analyses in biomedical research. Here, the authors introduce a method to generate realistic scRNA-seq data using GANs that learn gene expression dependencies from complex samples, and show that augment
Externí odkaz:
https://doaj.org/article/54eea9701f364c569d5dd410717e6a68
Autor:
Shiwa Soukou-Wargalla, Christoph Kilian, Lis Velasquez, Andres Machicote, Franziska Bertram, Friederike Stumme, Tanja Bedke, Anastasios Giannou, Jan Kempski, Morsal Sabihi, Ning Song, Hans-Joachim Paust, Alina Borchers, Laura Garcia Perez, Penelope Pelczar, Beibei Liu, Can Ergen, Babett Steglich, Franziska Muscate, Tobias B. Huber, Ulf Panzer, Nicola Gagliani, Christian F. Krebs, Samuel Huber
SummaryT regulatory type 1 (Tr1) cells, which are defined by their regulatory function, lack of Foxp3, high expression of IL-10, CD49b, and LAG3, are known to be able to suppress Th1 and Th17 in the intestine. Th1 and Th17 cells are also the main dri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::74640282a334d66b783c287232c37ac3
https://doi.org/10.1101/2023.02.07.527417
https://doi.org/10.1101/2023.02.07.527417
Autor:
Jan-Hendrik Riedel, Alina Borchers, Nariaki Asada, Anett Peters, Tilman Schmidt, Ulf Panzer, Pauline Ginsberg, Hans-Joachim Paust, Samuel Huber, Tobias B. Huber, Christian Krebs, Nicola Gagliani, Ning Song, Richard A. Flavell, Anna Kaffke, Jonas Luebbe, Jan-Eric Turner, Lennart Robben, Penelope Pelzcar, Sonja Hiekmann, Christoph Kilian
Publikováno v:
J Am Soc Nephrol
BACKGROUND: IL-17A–producing CD4(+) T helper (T(H)17) cells play a critical role in autoimmune and chronic inflammatory diseases, such as crescentic GN. The proinflammatory effects of IL-17 are mediated by the activation of the IL-17RA/IL-17RC comp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b559a2cd1ee4dd27d7cad7fa2b815888
https://doi.org/10.1681/asn.2021030426
https://doi.org/10.1681/asn.2021030426
Publikováno v:
ACM/IMS Transactions on Data Science. 1:1-19
The detection of vague, speculative, or otherwise uncertain language has been performed in the encyclopedic, political, and scientific domains yet left relatively untouched in finance. However, the latter benefits from public sources of big financial
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ce732e26d7aa1c44807dd5302b1d25f
https://doi.org/10.1145/3343039
https://doi.org/10.1145/3343039
Autor:
Christian Krebs, Mohamed Marouf, Vikas Bansal, Pierre Machart, Stefan Bonn, Christoph Kilian, Daniel Sumner Magruder
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-12 (2020)
Nature Communications
Nature Communications 11(1), 166 (2020). doi:10.1038/s41467-019-14018-z
Nature Communications
Nature Communications 11(1), 166 (2020). doi:10.1038/s41467-019-14018-z
A fundamental problem in biomedical research is the low number of observations available, mostly due to a lack of available biosamples, prohibitive costs, or ethical reasons. Augmenting few real observations with generated in silico samples could lea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c33b84562a1c19fb68d525d0ecdd56a4
http://link.springer.com/article/10.1038/s41467-019-14018-z
http://link.springer.com/article/10.1038/s41467-019-14018-z
Autor:
Theil, Christoph Kilian
In the last decade, natural language processing (NLP) methods have received increasing attention for applications in behavioral economics. Such methods enable the automatic content analysis of large corpora of financial disclosures, e.g., annual repo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2393::4cd94364b441bc6fb9d61c4d05fd2432
https://madoc.bib.uni-mannheim.de/62582/
https://madoc.bib.uni-mannheim.de/62582/
Autor:
Francesco Siracusa, Ansgar W. Lohse, Dominik Kylies, Filippo Cortesi, Yu Zhao, Mascha Binder, Nicola Gagliani, Susanne Pfefferle, Milagros N. Wong, Victor G. Puelles, Marissa Herrmann, Lidia Bosurgi, Christoph Schultheiß, Leon U. B. Enk, Patricia Bartsch, Stefan Bonn, Malte Hellmig, Ulf Panzer, Kevin Roedl, Dominik Jarczak, Elisa Rosati, Samuel Huber, Petra Bacher, Jan-Eric Turner, Christoph Kilian, Christian Krebs, Jan-Peter Sperhake, Ann-Christin Gnirck, Marc Lütgehetmann, Julian Schulze Zur-Wiesch, Stefan Steurer, Alina Borchers, Nicola Scheibel, Stefan Kluge, Marylyn M. Addo, Hans-Joachim Paust, Tobias B. Huber, Fabian Hausmann
Publikováno v:
Science Immunology. 6
Hyperinflammation contributes to lung injury and subsequent acute respiratory distress syndrome (ARDS) with high mortality in patients with severe coronavirus disease 2019 (COVID-19). To understand the underlying mechanisms involved in lung pathology
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed4a5ccddc6a55c72f86683a58fce8cc
https://doi.org/10.1126/sciimmunol.abf6692
https://doi.org/10.1126/sciimmunol.abf6692
Autor:
Yu, Zhao, Christoph, Kilian, Jan-Eric, Turner, Lidia, Bosurgi, Kevin, Roedl, Patricia, Bartsch, Ann-Christin, Gnirck, Filippo, Cortesi, Christoph, Schultheiß, Malte, Hellmig, Leon U B, Enk, Fabian, Hausmann, Alina, Borchers, Milagros N, Wong, Hans-Joachim, Paust, Francesco, Siracusa, Nicola, Scheibel, Marissa, Herrmann, Elisa, Rosati, Petra, Bacher, Dominik, Kylies, Dominik, Jarczak, Marc, Lütgehetmann, Susanne, Pfefferle, Stefan, Steurer, Julian Schulze, Zur-Wiesch, Victor G, Puelles, Jan-Peter, Sperhake, Marylyn M, Addo, Ansgar W, Lohse, Mascha, Binder, Samuel, Huber, Tobias B, Huber, Stefan, Kluge, Stefan, Bonn, Ulf, Panzer, Nicola, Gagliani, Christian F, Krebs
Publikováno v:
Science Immunology
Tissue-resident memory-like TH17 cells are clonally expanded in bronchoalveolar lavage fluid of patients with severe COVID-19.
TH17 cells in severe COVID-19 Generation of T helper 17 (TH17) cells has been associated with immunopathogenesis in mu
TH17 cells in severe COVID-19 Generation of T helper 17 (TH17) cells has been associated with immunopathogenesis in mu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::2675600f39770b9bd5c6379d64da008e
https://pubmed.ncbi.nlm.nih.gov/33622974
https://pubmed.ncbi.nlm.nih.gov/33622974