Nature Search

Role of transactivation of the EGF receptor in signalling by G-protein-coupled receptors

Henrik Daub
F. Ulrich Weiss
Axel Ullrich
Research08 Feb 1996
Nature

Volume: 379, P: 557-560
Unbiased mapping of cereblon neosubstrate landscape by high-throughput proteomics

Molecular glue degraders (MGD) offer a way to target undruggable proteins, but their discovery is challenging. Here, the authors develop a high-throughput proteomics platform for MGD drug discovery, revealing a much larger cereblon neosubstrate space than initially thought.

Martin Steger
Gisele Nishiguchi
Zoran Rankovic
ResearchOpen Access20 Aug 2025
Nature Communications

Volume: 16, P: 1-16
Strategies to overcome resistance to targeted protein kinase inhibitors

Henrik Daub
Katja Specht
Axel Ullrich
Reviews01 Dec 2004
Nature Reviews Drug Discovery

Volume: 3, P: 1001-1010
Narrowing down the real targets

Many kinase inhibitors for cancer therapy are rather nonselective, and their cellular mechanisms of action are incompletely understood. A nested chemical proteomics and chemical genetics strategy reveals which cellular targets of the clinical kinase inhibitor dasatinib functionally relate to its anti-oncogenic activity.

Henrik Daub
News & Views01 Apr 2010
Nature Chemical Biology

Volume: 6, P: 249-250
EGF receptor transactivation by G-protein-coupled receptors requires metalloproteinase cleavage of proHB-EGF

Norbert Prenzel
Esther Zwick
Axel Ullrich
Research23 Dec 1999
Nature

Volume: 402, P: 884-888
Cell-selective proteomics segregates pancreatic cancer subtypes by extracellular proteins in tumors and circulation

“In-depth cell-selective proteomics and secretomics has remained challenging. Here, the authors devise an optimised azidonorleucine labelling, mass spectrometry method and detect over 10,000 proteins in a pancreatic ductal adenocarcinoma model.

Jonathan J. Swietlik
Stefanie Bärthel
Felix Meissner
ResearchOpen Access08 May 2023
Nature Communications

Volume: 14, P: 1-17
Time-resolved in vivo ubiquitinome profiling by DIA-MS reveals USP7 targets on a proteome-wide scale

Combining improved sample preparation, data-independent acquisition mass spectrometry and deep learning, the authors develop a workflow for more robust and precise quantitative ubiquitinome profiling. They use this method to characterize targets of the deubiquitinase USP7 and effects of USP7 inhibitors.

Martin Steger
Vadim Demichev
Henrik Daub
ResearchOpen Access13 Sept 2021
Nature Communications

Volume: 12, P: 1-13
Shared heritability and functional enrichment across six solid cancers

Similarities in cancers can be studied to interrogate their etiology. Here, the authors use genome-wide association study summary statistics from six cancer types based on 296,215 cases and 301,319 controls of European ancestry, showing that solid tumours arising from different tissues share a degree of common germline genetic basis.

Xia Jiang
Hilary K. Finucane
Sara Lindström
ResearchOpen Access25 Jan 2019
Nature Communications

Volume: 10, P: 1-23
Size-based characterization of adalimumab and TNF-α interactions using flow induced dispersion analysis: assessment of avidity-stabilized multiple bound species

Morten E. Pedersen
Ragna M. S. Haegebaert
Henrik Jensen
ResearchOpen Access26 Feb 2021
Scientific Reports

Volume: 11, P: 1-10
Proteomics strategy for quantitative protein interaction profiling in cell extracts

Quantitative information is necessary to determine which protein interactions are the most relevant in a cellular context. A defined set of affinity purification experiments combined with quantitative mass spectrometry analysis allows the determination of dissociation constants for all protein targets interacting with an introduced ligand.

Kirti Sharma
Christoph Weber
Henrik Daub
Research13 Sept 2009
Nature Methods

Volume: 6, P: 741-744
Association analyses identify 31 new risk loci for colorectal cancer susceptibility

In colorectal cancer (CRC), finding loci associated with risk may give insight into disease aetiology. Here, the authors report a genome-wide association analysis in Europeans of 34,627 CRC cases and 71,379 controls, and find 31 new risk loci and 17 new risk SNPs at previously reported loci.

Philip J. Law
Maria Timofeeva
Malcolm G. Dunlop
ResearchOpen Access14 May 2019
Nature Communications

Volume: 10, P: 1-15

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