Advanced search

Filter By:

Journal Check one or more journals to show results from those journals only.

Choose more journals

Article type Check one or more article types to show results from those article types only.
Subject Check one or more subjects to show results from those subjects only.
Date Choose a date option to show results from those dates only.

Custom date range

Clear all filters
Sort by:
Showing 1–17 of 17 results
Advanced filters: Author: Vadim Demichev Clear advanced filters

  • Proteomic data from natural isolates of Saccharomyces cerevisiae provide insight into how these cells tolerate aneuploidy (an imbalance in the number of chromosomes), and reveal differences between lab-engineered aneuploids and diverse natural yeasts.

    • Julia Muenzner
    • Pauline Trébulle
    • Markus Ralser
    ResearchOpen Access
    Nature
    Volume: 630, P: 149-157

  • The dia-PASEF technology uses ion mobility separation to reduce signal interferences and increase sensitivity of mass spectrometry-based proteomics. The authors present algorithms and a software solution, which boost proteomic depth in dia-PASEF experiments by up to 83% compared to previous work, and are specifically beneficial for fast proteomic experiments and those with low sample amounts.

    • Vadim Demichev
    • Lukasz Szyrwiel
    • Markus Ralser
    ResearchOpen Access
    Nature Communications
    Volume: 13, P: 1-8

  • Advances in single-cell proteomics allow quantification of half of the expressed proteome in an individual cell.

    • Ludwig R. Sinn
    • Vadim Demichev
    News & Views
    Nature Methods
    Volume: 22, P: 459-460

  • 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 Access
    Nature Communications
    Volume: 12, P: 1-13

  • Scanning SWATH increases the speed and selectivity of proteomics.

    • Christoph B. Messner
    • Vadim Demichev
    • Markus Ralser
    Research
    Nature Biotechnology
    Volume: 39, P: 846-854

  • 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 Access
    Nature Communications
    Volume: 16, P: 1-16

  • DIA-MS has emerged as a widely used technological platform for quantitative protein profiling. Here, the authors develop MSFragger-DIA, a robust and fast tool to directly identify peptides from DIA spectra. It demonstrates excellent performance across applications from large-scale tumor studies to single-cell proteomics.

    • Fengchao Yu
    • Guo Ci Teo
    • Alexey I. Nesvizhskii
    ResearchOpen Access
    Nature Communications
    Volume: 14, P: 1-14

  • There is a need for accessible ways to improve peptide spectrum match rescoring with deep learning predictions in bottom-up proteomics. Here, the authors demonstrate robust gains in peptide/protein identifications across various experiments, from single cell proteomics to immunopeptidomics.

    • Kevin L. Yang
    • Fengchao Yu
    • Alexey I. Nesvizhskii
    ResearchOpen Access
    Nature Communications
    Volume: 14, P: 1-14

  • A technique for the large-scale mass-spectrometric quantification of glycopeptides in plasma samples allows for the profiling of more than a thousand glycopeptide features in plasma samples, as shown for patients with COVID-19.

    • Matthew E. H. White
    • Ludwig R. Sinn
    • Markus Ralser
    ResearchOpen Access
    Nature Biomedical Engineering
    Volume: 8, P: 233-247

  • Using microbiome data analysis and a self-establishing metabolically cooperating yeast community model, the authors show that the presence of auxotrophs in a microbial community increases metabolic interactions between cells and fosters antimicrobial drug tolerance.

    • Jason S. L. Yu
    • Clara Correia-Melo
    • Markus Ralser
    ResearchOpen Access
    Nature Microbiology
    Volume: 7, P: 542-555