Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Kjong Van Lehmann"'
Autor:
Chiara Maria Lavinia Loeffler, Omar S. M. El Nahhas, Hannah Sophie Muti, Zunamys I. Carrero, Tobias Seibel, Marko van Treeck, Didem Cifci, Marco Gustav, Kevin Bretz, Nadine T. Gaisa, Kjong-Van Lehmann, Alexandra Leary, Pier Selenica, Jorge S. Reis-Filho, Nadina Ortiz-Bruechle, Jakob Nikolas Kather
Publikováno v:
BMC Biology, Vol 22, Iss 1, Pp 1-14 (2024)
Abstract Background Homologous recombination deficiency (HRD) is recognized as a pan-cancer predictive biomarker that potentially indicates who could benefit from treatment with PARP inhibitors (PARPi). Despite its clinical significance, HRD testing
Externí odkaz:
https://doaj.org/article/003303862b20434e84941368c6c014a7
Autor:
Patrik Simmler, Eleonora I Ioannidi, Tamara Mengis, Kim Fabiano Marquart, Simran Asawa, Kjong Van-Lehmann, Andre Kahles, Tinu Thomas, Cornelia Schwerdel, Nicola Aceto, Gunnar Rätsch, Markus Stoffel, Gerald Schwank
Publikováno v:
eLife, Vol 12 (2023)
The splicing factor SF3B1 is recurrently mutated in various tumors, including pancreatic ductal adenocarcinoma (PDAC). The impact of the hotspot mutation SF3B1K700E on the PDAC pathogenesis, however, remains elusive. Here, we demonstrate that Sf3b1K7
Externí odkaz:
https://doaj.org/article/60ac28afd80545779ac04224dc960954
Publikováno v:
Journal of Computational Biology. 29:857-866
With the constant increase of large-scale genomic data projects, automated and high-throughput quality assessment becomes a crucial component of any analysis. Whereas small projects often have a more homogeneous design and a manageable structure allo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb9e2ee1915793a5b831d9c610bd44c5
https://doi.org/10.1089/cmb.2021.0603
https://doi.org/10.1089/cmb.2021.0603
Publikováno v:
Bioinformatics, 38 (18)
Motivation Several recently developed single-cell DNA sequencing technologies enable whole-genome sequencing of thousands of cells. However, the ultra-low coverage of the sequenced data (
Bioinformatics, 38 (18)
ISSN:1367-4803
ISSN:146
Bioinformatics, 38 (18)
ISSN:1367-4803
ISSN:146
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6fd145a76ff3beb7d74e4ebedaf68406
https://doi.org/10.1093/bioinformatics/btac510
https://doi.org/10.1093/bioinformatics/btac510
Autor:
Chiara Maria Lavinia Loeffler, Omar S.M. El Nahhas, Hannah Sophie Muti, Tobias Seibel, Didem Cifci, Marko van Treeck, Marco Gustav, Zunamys I. Carrero, Nadine T. Gaisa, Kjong-Van Lehmann, Alexandra Leary, Pier Selenica, Jorge S. Reis-Filho, Nadina Ortiz Bruechle, Jakob Nikolas Kather
Publikováno v:
medRxiv
BackgroundHomologous Recombination Deficiency (HRD) is a pan-cancer predictive biomarker that identifies patients who benefit from therapy with PARP inhibitors (PARPi). However, testing for HRD is highly complex. Here, we investigated whether Deep Le
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::31bed6cb1c160ec23d87eb4d45ea29bf
https://europepmc.org/articles/PMC10029072/
https://europepmc.org/articles/PMC10029072/
Autor:
Charlotte Bunne, Stefan Stark, Gabriele Gut, Jacobo Sarabia del Castillo, Mitchell Levesque, Kjong Van Lehmann, Lucas Pelkmans, Andreas Krause, Gunnar Rätsch, "null"
Understanding and predicting molecular responses in single cells upon chemical, genetic, or mechanical perturbations is a core question in biology. Obtaining single-cell measurements typically requires the cells to be destroyed. This makes learning h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e9dac8738fa21529c79610280a869de4
https://doi.org/10.21203/rs.3.rs-1805107/v1
https://doi.org/10.21203/rs.3.rs-1805107/v1
Autor:
Patrik T. Simmler, Tamara Mengis, Kjong-Van Lehmann, André Kahles, Tinu Thomas, Gunnar Rätsch, Markus Stoffel, Gerald Schwank
The splicing factor SF3B1 is recurrently mutated in various tumors, including pancreatic ductal adenocarcinoma (PDAC). The impact of the hotspot mutation SF3B1K700E on the PDAC pathogenesis, however, remains elusive. Here, we demonstrate that Sf3b1K7
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4984b413331f08e557ff7a3f076187d2
https://doi.org/10.1101/2022.06.16.496393
https://doi.org/10.1101/2022.06.16.496393
Autor:
Kjong-Van Lehmann, Gunnar Rätsch, Stefan G. Stark, Hana Rozhoňová, Daniel Danciu, André Kahles
MotivationSeveral recently developed single-cell DNA sequencing technologies enable whole-genome sequencing of thousands of cells. However, the ultra-low coverage of the sequenced data (< 0.05x per cell) mostly limits their usage to the identificatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef716a9456a41f83b719e4dd8da9214a
https://doi.org/10.1101/2021.11.08.467510
https://doi.org/10.1101/2021.11.08.467510
Autor:
Bettina Sobottka, Marta Nowak, Anja Laura Frei, Martina Haberecker, Samuel Merki, Mitchell P. Levesque, Reinhard Dummer, Holger Moch, Viktor Hendrik Koelzer, Rudolf Aebersold, Melike Ak, Faisal S. Al-Quaddoomi, Jonas Albinus, Ilaria Alborelli, Sonali Andani, Per-Olof Attinger, Marina Bacac, Daniel Baumhoer, Beatrice Beck-Schimmer, Niko Beerenwinkel, Christian Beisel, Lara Bernasconi, Anne Bertolini, Bernd Bodenmiller, Ximena Bonilla, Ruben Casanova, Stéphane Chevrier, Natalia Chicherova, Maya D'Costa, Esther Danenberg, Natalie Davidson, Monica-Andreea Drăganmoch, Stefanie Engler, Martin Erkens, Katja Eschbach, Cinzia Esposito, André Fedier, Pedro Ferreira, Joanna Ficek, Bruno Frey, Sandra Goetze, Linda Grob, Gabriele Gut, Detlef Günther, Pirmin Haeuptle, Viola Heinzelmann-Schwarz, Sylvia Herter, Rene Holtackers, Tamara Huesser, Anja Irmisch, Francis Jacob, Andrea Jacobs, Tim M. Jaeger, Katharina Jahn, Alva R. James, Philip M. Jermann, André Kahles, Abdullah Kahraman, Werner Kuebler, Jack Kuipers, Christian P. Kunze, Christian Kurzeder, Kjong-Van Lehmann, Sebastian Lugert, Gerd Maass, Markus G. Manz, Philipp Markolin, Julien Mena, Ulrike Menzel, Julian M. Metzler, Nicola Miglino, Emanuela S. Milani, Simone Muenst, Riccardo Murri, Charlotte K.Y. Ng, Stefan Nicolet, Patrick G.A. Pedrioli, Lucas Pelkmans, Salvatore Piscuoglio, Michael Prummer, Mathilde Ritter, Christian Rommel, María L. Rosano-González, Gunnar Rätsch, Natascha Santacroce, Jacobo Sarabia del Castillo, Ramona Schlenker, Petra C. Schwalie, Severin Schwan, Tobias Schär, Gabriela Senti, Franziska Singer, Sujana Sivapatham, Berend Snijder, Vipin T. Sreedharan, Stefan Stark, Daniel J. Stekhoven, Alexandre P.A. Theocharides, Tinu M. Thomas, Markus Tolnay, Vinko Tosevski, Nora C. Toussaint, Mustafa A. Tuncel, Marina Tusup, Audrey Van Drogen, Marcus Vetter, Tatjana Vlajnic, Sandra Weber, Walter P. Weber, Rebekka Wegmann, Michael Weller, Fabian Wendt, Norbert Wey, Andreas Wicki, Mattheus HE Wildschut, Bernd Wollscheid, Shuqing Yu, Johanna Ziegler, Marc Zimmermann, Martin Zoche, Gregor Zuend
Publikováno v:
Laboratory Investigation; a Journal of Technical Methods and Pathology
CD8+ tumor-infiltrating T cells can be regarded as one of the most relevant predictive biomarkers in immune-oncology. Highly infiltrated tumors, referred to as inflamed (clinically “hot”), show the most favorable response to immune checkpoint inh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d74ecfeeb15c1b4897606a94b52a648
Autor:
René Holtackers, Simone Muenst, Martin Zoche, Rudolf Aebersold, Stéphane Chevrier, Tobias Schär, Bettina Sobottka, Marc Zimmermann, Abdullah Kahraman, Lucas Pelkmans, Faisal Alquaddoomi, Philip Jermann, Natascha Santacroce, Andreas Wicki, Norbert Wey, Nora C. Toussaint, Monica-Andreea Drăgan, Mattheus H.E. Wildschut, Ruben Casanova, Shuqing Yu, Markus Tolnay, Marcus Vetter, Mustafa Anil Tuncel, Ximena Bonilla, Stefan Nicolet, Gabriele Gut, Stefan G. Stark, Philipp Markolin, Bruno S. Frey, Ramona Schlenker, Rebekka Wegmann, Walter P. Weber, Lara Bernasconi, Emanuela S. Milani, Viktor H. Koelzer, Christian Rommel, Christian P. Kunze, Sylvia Herter, Cinzia Esposito, Gabriela Senti, Michael Prummer, Katja Eschbach, Bernd Wollscheid, Riccardo Murri, Salvatore Piscuoglio, Mathilde Ritter, Mitchell P. Levesque, Christian Beisel, Tim M. Jaeger, Viola Heinzelmann-Schwarz, Gunnar Rätsch, Severin Schwan, Marina Bacac, Reinhard Dummer, Joanna Ficek, Sandra Goetze, Tatjana Vlajnic, Martin Erkens, Ilaria Alborelli, Ulrike Menzel, Vinko Tosevski, Markus G. Manz, Werner Kuebler, Detlef Günther, Julian M. Metzler, Daniel J. Stekhoven, Christian Kurzeder, Anja Frei, Tamara Huesser, Marta Nowak, Melike Ak, Francis Jacob, Gregor Zuend, Berend Snijder, Martina Haberecker, Pirmin Haeuptle, Anja Irmisch, Maya D'Costa, Linda Grob, Natalia Chicherova, Bernd Bodenmiller, Johanna Ziegler, Per-Olof Attinger, Jack Kuipers, Katharina Jahn, Nicola Miglino, Natalie R. Davidson, Jacobo Sarabia del Castillo, André Fedier, Fabian Wendt, Esther Danenberg, Pedro Ferreira, María Lourdes Rosano-Gonzalez, Sebastian Lugert, Andrea Jacobs, Charlotte K.Y. Ng, Alva Rani James, Tinu M. Thomas, André Kahles, Gerd Maass, Julien Mena, Jonas B. Albinus, Daniel Baumhoer, Sonali Andani, Petra C. Schwalie, Anne Bertolini, Marina Tusup, Franziska Singer, Alexandre Theocharides, Sandra Weber, Beatrice Beck-Schimmer, Sujana Sivapatham, Kjong-Van Lehmann, Stefanie Engler, Holger Moch, Niko Beerenwinkel, Vipin T. Sreedharan, Michael Weller, Audrey Van Drogen, Patrick G. A. Pedrioli
The application and integration of molecular profiling technologies create novel opportunities for personalized medicine. Here, we introduce the Tumor Profiler Study, an observational trial combining a prospective diagnostic approach to assess the re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::44d8c3ca713e49a95422d2c3b283d33f