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News
Navigating cancer network attractors for tumor-specific therapy
Financial Times Story: Big Data Big Science Big Challenges
Positive Selection of Tyrosine Loss in Metazoan Evolution - Take Two
Network Medicine Strikes a Blow against Breast Cancer
INB2012: Network Medicine - "The Movie"
Enzyme paves the way for the spread of cancer cells to bones
Digital ‘Rosetta Stone’ Decrypts How Mutations Rewire Cancer Cells
Tony Pawson (1952 - 2013)
Moving to Germany
Cell-Specific Information Processing in Segregating Cell Populations
Linding Lab moves to BRIC@UCPH
News
Commentary on Verification of systems biology research
Research
Team
Photos
Publications
Linding Lab, REWIRE, HUB [2019-present]
High-dose oncogenic PIK3CA drives constitutive cellular stemness through self-sustained TGFβ pathway activation
Probability-based detection of phosphoproteomic uncertainty reveals rare signaling events driven by oncogenic kinase gene fusion
Global view of the RAF-MEK-ERK module and its immediate downstream effectors.
Deep Neural Networks Identify Signaling Mechanisms of ErbB-Family Drug Resistance From a Continuous Cell Morphology State Space
Linding Lab, BRIC & DTU [2011-2018]
Comprehensive substrate specificity profiling of the human Nek kinome reveals unexpected signaling outputs.
Comprehensive profiling of the STE20 kinase family defines features essential for selective substrate targeting and signaling output.
Farnesylated heat shock protein 40 is a component of membrane-bound RISC in Arabidopsis.
Bowhead: Bayesian modelling of cell velocity during concerted cell migration.
Cancer systems biology: Harnessing off-target effects.
Dynamic Rearrangement of Cell States Detected by Systematic Screening of Sequential Anticancer Treatments
Kinome-wide Decoding of Network-Attacking Mutations Rewiring Cancer Signaling.
Unmasking Determinants of Specificity in the Human Kinome.
The hypoxic cancer secretome induces pre-metastatic bone lesions through lysyl oxidase
Pathway and network analysis of cancer genomes.
Modulation of the chromatin phosphoproteome by the haspin protein kinase.
KinomeXplorer: an integrated platform for kinome biology studies.
Identification of Hypoxia-Regulated Proteins Using MALDI-Mass Spectrometry Imaging Combined with Quantitative Proteomics.
CoreFlow: a computational platform for integration, analysis and modeling of complex biological data.
Experimental and computational tools for analysis of signaling networks in primary cells.
Personalized network-based treatments in oncology.
Computational approaches to identify functional genetic variants in cancer genomes.
Global characterization of signalling networks associated with tamoxifen resistance in breast cancer.
PROTEINCHALLENGE: Crowd sourcing in proteomics analysis and software development
Integrative analysis of kinase networks in TRAIL-induced apoptosis provides a source of potential targets for combination therapy
In Vivo SILAC-Based Proteomics Reveals Phosphoproteome Changes during Mouse Skin Carcinogenesis
Navigating cancer network attractors for tumor-specific therapy
Recommendations for mass spectrometry data quality metrics for open access data (corollary to the Amsterdam principles).
Recommendations for mass spectrometry data quality metrics for open access data (corollary to the Amsterdam principles).
Recommendations for mass spectrometry data quality metrics for open access data (Corollary to the Amsterdam principles).
Mutational Properties of Amino Acid Residues - Implications for Evolvability of Phosphorylatable Residues
Cells, shared memory and breaking the PTM code
Network Medicine Strikes a Blow against Breast Cancer
Recommendations for mass spectrometry data quality metrics for open access data (Corollary to the Amsterdam principles).
Verification of systems biology research in the age of collaborative competition
OpenFreezer: a reagent information management software system
Response to Comment on “Positive Selection of Tyrosine Loss in Metazoan Evolution”
Linding Lab, ICR [work from 2007-2010]
DNA damage activates a spatially distinct late cytoplasmic cell-cycle checkpoint network controlled by MK2-mediated RNA stabilization.
(R)evolution of Complex Regulatory Systems
Multivariate signal integration
Roles of "junk phosphorylation" in modulating biomolecular association of phosphorylated proteins?
Simplistic pathways or complex networks?
Cell-Specific Information Processing in Segregating Populations of Eph Receptor Ephrin–Expressing Cells.
Network-based drugs and biomarkers.
Experimental and computational tools useful for (re)construction of dynamic kinase-substrate networks.
Phosphorylation dynamics during early differentiation of human embryonic stem cells.
Comparative analysis reveals conserved protein phosphorylation networks implicated in multiple diseases.
Positive selection of tyrosine loss in metazoan evolution.
Dissecting the interface between signaling and transcriptional regulation in human B cells.
Dynamic modularity in protein interaction networks predicts breast cancer outcome.
A Mitotic Phosphorylation Feedback Network Connects Cdk1, Plk1, 53BP1, and Chk2 to Inactivate the G(2)/M DNA Damage Checkpoint.
Phosphorylation networks regulating JNK activity in diverse genetic backgrounds.
Linear motif atlas for phosphorylation-dependent signaling.
Network medicine.
Directional and quantitative phosphorylation networks.
Dr Linding, SLRI & MIT [work from 2005-2007]
Eukaryotic Protein Domains as Functional Units of Cellular Evolution.
NetworKIN: a resource for exploring cellular phosphorylation networks.
Systematic discovery of in vivo phosphorylation networks.
WW domains provide a platform for the assembly of multiprotein networks.
Synthetic modular systems - reverse engineering of signal transduction.
Rune Linding, EMBL [work from 2000-2004]
ELM: the status of the 2010 eukaryotic linear motif resource.
Systematic discovery of new recognition peptides mediating protein interaction networks.
A comparative study of the relationship between protein structure and beta-aggregation in globular and intrinsically disordered proteins.
Phospho.ELM: a database of experimentally verified phosphorylation sites in eukaryotic proteins.
PhD thesis (Rune Linding)
Protein disorder prediction: implications for structural proteomics.
BLAST2SRS, a web server for flexible retrieval of related protein sequences in the SWISS-PROT and SPTrEMBL databases.
GlobPlot: Exploring protein sequences for globularity and disorder.
ELM server: A new resource for investigating short functional sites in modular eukaryotic proteins.
Normalization of nomenclature for peptide motifs as ligands of modular protein domains.
Research Articles
Reviews
Selected Publications
Pubmed Entries
Talks
Jobs
Credits
Press
Supercomputing Accelerates Path to Cancer Predictions and Treatment
KU-forskere slår igennem med banebrydende kræftforskning
Using Proteomics to Understand How Genetic Mutations Rewire Cancer Cells
University of Copenhagen (UCPH) and Beckman Coulter Genomics (BCG) Collaborate to Unravel How Mutations Rewire Cancer Cells
University of Copenhagen Uses SGI Supercomputer to Decode How Mutations Rewire Cancer Cells
Digital ‘Rosetta Stone’ Decrypts How Mutations Rewire Cancer Cells
Super-computerprogram skal forudsige bedste kræftbehandling
Brystkræft - Ny viden vækker begejstring
Radio24/7: Prof Sommer and Linding on Future Medicine (in Danish)
DTU Team Testing Orbitrap Fusion's Phosphoproteomic Capabilities as Part of Thermo Collaboration
Unique Protein and Peptide Identifications Increase 20% with New Nano-ESI Source
Are companies drowing in a sea of data?
Netværksmedicin – en lovende strategi mod bl.a. kræft
Top Network Biologists Meet in Denmark to Discuss the Exciting Future of Network Medicine
Conquering Computational Complexities in Cancer Research
Taler celler over hækken?
Forskere usikre på karrieren
DTU Accelerates Metagenomic Research with SGI Altix UV
ICR Hosts Meeting of Top Network Biologists
Scientists Hear Cell Conversation for First Time
ICR Collaborates to Create State-of-the-Art Proteomics Laboratory
Human Cells Evolved to Reduce Cancer Risk
Network Tool Predicts Cancer Survival
Cancer Weaknesses Exposed by Computing
Supercomputing to Target Cancer Research
Future Treatments May Target Shared Biological Networks
Studier af cellers netværk kan være nøglen bedre at forstå og behandle kræft
En ny forståelse af cancer
Collaborations
Doug Lauffenburger : Research Group
Perrimon Lab
Bodenmiller Group
Pawson Lab
Yaffe Lab
SMART
STRING
Tony Hunter Lab
Jensen Lab
Turk Lab
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