Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Xiao-Kang Lun"'
Autor:
Vito RT Zanotelli, Matthias Leutenegger, Xiao‐Kang Lun, Fanny Georgi, Natalie de Souza, Bernd Bodenmiller
Publikováno v:
Molecular Systems Biology, Vol 16, Iss 12, Pp 1-21 (2020)
Abstract Cells react to their microenvironment by integrating external stimuli into phenotypic decisions via an intracellular signaling network. To analyze the interplay of environment, local neighborhood, and internal cell state effects on phenotypi
Externí odkaz:
https://doaj.org/article/577f6dc37c6a41c6a2fe8bda0a9e1fce
Publikováno v:
Frontiers in Physiology, Vol 11 (2020)
Intracellular signaling pathways are at the core of cellular information processing. The states of these pathways and their inputs determine signaling dynamics and drive cell function. Within a cancerous tumor, many combinations of cell states and mi
Externí odkaz:
https://doaj.org/article/98a27bfdd17a4bf28adcc91a9d898a72
Autor:
Maria Anna Rapsomaniki, Xiao-Kang Lun, Stefan Woerner, Marco Laumanns, Bernd Bodenmiller, María Rodríguez Martínez
Publikováno v:
Nature Communications, Vol 9, Iss 1, Pp 1-9 (2018)
Mass cytometry is a powerful method of single cell analysis, but potential confounding effects of cell cycle and cell volume are not taken into account. Here the authors present a combined experimental and computational method to correct for these ef
Externí odkaz:
https://doaj.org/article/88cf8b87f8f24c58a5be08d7dbf1d961
Autor:
Xiao-Kang Lun, Bernd Bodenmiller
Publikováno v:
Molecular & Cellular Proteomics : MCP
Signaling network responses can be highly heterogeneous across cells in a tissue because of many sources of genetic and non-genetic variance. The emergence of multiplexed single-cell technologies has made it possible to evaluate this heterogeneity. I
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f110137c79809af1fe792c67c4ab215
https://doi.org/10.1074/mcp.r119.001790
https://doi.org/10.1074/mcp.r119.001790
Cell-to-cell differences in signaling components can lead to qualitatively different responses to stimuli. Understanding this heterogeneity in signaling response is limited by the inability of time-lapse methods to measure multiple pathway components
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7142903016b5ccfc589049b36558aba3
https://doi.org/10.1101/2020.11.15.383711
https://doi.org/10.1101/2020.11.15.383711
Publikováno v:
Scientific Reports
Scientific Reports, 10 (1)
Scientific Reports, Vol 10, Iss 1, Pp 1-9 (2020)
Scientific Reports, 10 (1)
Scientific Reports, Vol 10, Iss 1, Pp 1-9 (2020)
Inferring cell-signaling networks from high-throughput data is a challenging problem in systems biology. Recent advances in cytometric technology enable us to measure the abundance of a large number of proteins at the single-cell level across time. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fe94a5a99e879188e5985040e90b645f
https://doi.org/10.1038/s41598-019-56444-5
https://doi.org/10.1038/s41598-019-56444-5
Autor:
Bernd Bodenmiller, Denis Schapiro, Nadine Dobberstein, Vito R T Zanotelli, Marco Tognetti, James D Wade, Xiao-Kang Lun
Publikováno v:
Nature Biotechnology
Nature biotechnology
Nature biotechnology
Signaling networks are key regulators of cellular function. Although the concentrations of signaling proteins are perturbed in disease states, such as cancer, and are modulated by drug therapies, our understanding of how such changes shape the proper
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e868664786d18eeb47fa810493f24e69
https://www.nature.com/nbt/journal/v35/n2/full/nbt.3770.html
https://www.nature.com/nbt/journal/v35/n2/full/nbt.3770.html
Autor:
Attila Gábor, Bernd Bodenmiller, Julio Saez-Rodriguez, Xiao-Kang Lun, Christian von Mering, Damian Szklarczyk, Vito R T Zanotelli, Nadine Dobberstein
Publikováno v:
Molecular Cell, 74 (5)
Molecular Cell
Molecular cell 74(5), 1086-1102.e5 (2019). doi:10.1016/j.molcel.2019.04.021
Molecular Cell
Molecular cell 74(5), 1086-1102.e5 (2019). doi:10.1016/j.molcel.2019.04.021
Summary Kinase and phosphatase overexpression drives tumorigenesis and drug resistance. We previously developed a mass-cytometry-based single-cell proteomics approach that enables quantitative assessment of overexpression effects on cell signaling. H
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9830df187cade67403042e215a49e2cd
https://hdl.handle.net/20.500.11850/346503
https://hdl.handle.net/20.500.11850/346503
Autor:
Damian Szklarczyk, Bernd Bodenmiller, Vito R T Zanotelli, von Mering C, Attila Gábor, Julio Saez-Rodriguez, Xiao-Kang Lun, Nadine Dobberstein
Kinase and phosphatase overexpression drives tumorigenesis and drug resistance in many cancer types. Signaling networks reprogrammed by protein overexpression remain largely uncharacterized, hindering discovery of paths to therapeutic intervention. W
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d7a9eb2042507f16e0ee0e9e9cb0a0ea
https://doi.org/10.1101/314716
https://doi.org/10.1101/314716
Autor:
Denis Schapiro, Xiao-Kang Lun, Daniel Schulz, Bernd Bodenmiller, Stefanie Engler, Jana R. Fischer, Vito R T Zanotelli, Hartland W. Jackson
Publikováno v:
Cell Systems, 6 (1)
Cell Systems
Cell Systems
Summary To build comprehensive models of cellular states and interactions in normal and diseased tissue, genetic and proteomic information must be extracted with single-cell and spatial resolution. Here, we extended imaging mass cytometry to enable m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7874bab6859506b1677ba0c202e9bed7
https://hdl.handle.net/20.500.11850/239182
https://hdl.handle.net/20.500.11850/239182