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Classification of mouse B cell types using surfaceome proteotype maps

Analysis of the cell surface proteome (surfaceome) is essential for cell classification but is technically challenging. Here the authors miniaturize and automate the Cell Surface Capture method to increase sensitivity, reproducibility and throughput, and use it to create population-specific surfaceome maps of developing mouse B cells.

Marc van Oostrum
Maik Müller
Bernd Wollscheid
ResearchOpen Access16 Dec 2019
Nature Communications

Volume: 10, P: 1-9
Compounds activating VCP D1 ATPase enhance both autophagic and proteasomal neurotoxic protein clearance

Several neurodegenerative diseases are characterized by the aggregation of cytoplasmic proteins. Here, the authors demonstrate that the small molecule SMER28 activates VCP, which enhances both autophagic and proteasomal clearance of aggregate-prone proteins.

Lidia Wrobel
Sandra M. Hill
David C. Rubinsztein
ResearchOpen Access16 Jul 2022
Nature Communications

Volume: 13, P: 1-19
Cdc48/p97 promotes reformation of the nucleus by extracting the kinase Aurora B from chromatin

At the onset of mitosis, the nuclear envelope is diassembled, and is reformed at the end of the process. A mechanistic explanation for the reformation of the nuclear envelope is provided, finding that the chaperone p97 (an AAA ATPase) binds to an ubiquitylated form of Aurora B, an inhibitor of nuclear envelope formation, on chromatin. This results in extraction of Aurora B from chromatin, allowing chromosome decondensation and nuclear envelope formation.

Kristijan Ramadan
Roland Bruderer
Hemmo H. Meyer
Research20 Dec 2007
Nature

Volume: 450, P: 1258-1262
Global, in situ analysis of the structural proteome in individuals with Parkinson’s disease to identify a new class of biomarker

This study identifies protein structural changes in cerebrospinal fluid of people with Parkinson’s disease relative to healthy individuals and proposes the concept of structural disease biomarkers. It also analyzes proteome structural variability in healthy people.

Marie-Therese Mackmull
Luise Nagel
Paola Picotti
Research12 Oct 2022
Nature Structural & Molecular Biology

Volume: 29, P: 978-989
A machine learning-based chemoproteomic approach to identify drug targets and binding sites in complex proteomes

Proteomics is often used to map protein-drug interactions but identifying a drug’s protein targets along with the binding interfaces has not been achieved yet. Here, the authors integrate limited proteolysis and machine learning for the proteome-wide mapping of drug protein targets and binding sites.

Ilaria Piazza
Nigel Beaton
Lukas Reiter
ResearchOpen Access21 Aug 2020
Nature Communications

Volume: 11, P: 1-13
Different syngeneic tumors show distinctive intrinsic tumor-immunity and mechanisms of actions (MOA) of anti-PD-1 treatment

Ying Jin
Xiaoyu An
Xuesong Ouyang
ResearchOpen Access28 Feb 2022
Scientific Reports

Volume: 12, P: 1-18
Cost-effective generation of precise label-free quantitative proteomes in high-throughput by microLC and data-independent acquisition

Jakob Vowinckel
Aleksej Zelezniak
Markus Ralser
ResearchOpen Access12 Mar 2018
Scientific Reports

Volume: 8, P: 1-10

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Classification of mouse B cell types using surfaceome proteotype maps

Compounds activating VCP D1 ATPase enhance both autophagic and proteasomal neurotoxic protein clearance

Cdc48/p97 promotes reformation of the nucleus by extracting the kinase Aurora B from chromatin

Global, in situ analysis of the structural proteome in individuals with Parkinson’s disease to identify a new class of biomarker

A machine learning-based chemoproteomic approach to identify drug targets and binding sites in complex proteomes

Different syngeneic tumors show distinctive intrinsic tumor-immunity and mechanisms of actions (MOA) of anti-PD-1 treatment

Cost-effective generation of precise label-free quantitative proteomes in high-throughput by microLC and data-independent acquisition

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