You are here: Home
14 items matching your search terms.
Filter the results.
Item type









New items since



Sort by relevance · date (newest first) · alphabetically
High-dose oncogenic PIK3CA drives constitutive cellular stemness through self-sustained TGFβ pathway activation
PREPRINT
Located in Publications / Linding Lab, REWIRE, HUB [2019-present]
Global view of the RAF-MEK-ERK module and its immediate downstream effectors.
Sci Rep. 2019 Jul 26;9(1):10865. doi: 10.1038/s41598-019-47245-x.
Located in Publications / Linding Lab, REWIRE, HUB [2019-present]
Comprehensive substrate specificity profiling of the human Nek kinome reveals unexpected signaling outputs.
Elife. 2019 May 24;8. pii: e44635. doi: 10.7554/eLife.44635.
Located in Publications / Linding Lab, BRIC & DTU [2011-2018]
Comprehensive profiling of the STE20 kinase family defines features essential for selective substrate targeting and signaling output.
PLoS Biology 2019 Mar 21;17(3):e2006540. doi: 10.1371/journal.pbio.2006540.
Located in Publications / Linding Lab, BRIC & DTU [2011-2018]
Farnesylated heat shock protein 40 is a component of membrane-bound RISC in Arabidopsis.
J Biol Chem. 2018 Oct 26;293(43):16608-16622. doi: 10.1074/jbc.RA118.003887.
Located in Publications / Linding Lab, BRIC & DTU [2011-2018]
Deep Neural Networks Identify Signaling Mechanisms of ErbB-Family Drug Resistance From a Continuous Cell Morphology State Space
PREPRINT
Located in Publications / Linding Lab, REWIRE, HUB [2019-present]
Bowhead: Bayesian modelling of cell velocity during concerted cell migration.
PLoS Comput Biol. 2018 Jan 8;14(1):e1005900. doi: 10.1371/journal.pcbi.1005900.
Located in Publications / Linding Lab, BRIC & DTU [2011-2018]
Cancer systems biology: Harnessing off-target effects.
Nature Chemical Biology 2017 Nov 21;13(12):1204-1205. doi: 10.1038/nchembio.2519.
Located in Publications / Linding Lab, BRIC & DTU [2011-2018]
Dynamic Rearrangement of Cell States Detected by Systematic Screening of Sequential Anticancer Treatments
Cell Reports 2017 Sep 19;20(12):2784-2791. doi: 10.1016/j.celrep.2017.08.095.
Located in Publications / Linding Lab, BRIC & DTU [2011-2018]
Quantitative bioinformatics studies utilizing genomics, proteomics and imaging experiments require the integration of vast amounts of data in order to gain new insights from large population data sets. In an effort to solve some of life science’s most complex questions, The Linding Laboratory in Denmark partnered with HPE/SGI to further its research at the Biotech Research and Innovation Centre (BRIC), University of Copenhagen and extract deeper insights into areas such as cell and cancer biology using high performance computing (HPC).
Located in Press