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Showing 1–13 of 13 results
Advanced filters: Author: Nikolai Slavov Clear advanced filters

  • The recent developments in artificial intelligence (AI) have created both intrigue and apprehension in the world of research. In this Viewpoint, we asked 12 experts in the field of metabolism to share their — differing — opinions on the use of AI in pre-clinical and clinical metabolic research.

    • Jens Juul Holst
    • Camilla Schéele
    • Peter G. Jacobs
    Reviews
    Nature Metabolism
    P: 1-4

  • Single-cell proteomics (SCP) enables detailed protein profiling at the individual cell level but is highly sensitive to sample preparation artifact. Here, the authors address protein leakage artifacts in single-cell proteomics and define a leakage signature, revealing higher leakage in cytosolic/nuclear proteins.

    • Andrew Leduc
    • Yanxin Xu
    • Nikolai Slavov
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-6

  • Biological systems can now be studied at the single-cell level using mass spectrometry. In Single Cell ProtEomics (SCoPE2), a carrier sample is used to enhance peptide sequence identification with multiplexed analysis using isobaric mass tags.

    • Aleksandra A. Petelski
    • Edward Emmott
    • Nikolai Slavov
    Protocols
    Nature Protocols
    Volume: 16, P: 5398-5425

  • Nature Biotechnology asks a selection of faculty about the most exciting frontier in their field and the most needed technologies for advancing knowledge and applications.

    • Nasim Annabi
    • Matthew Baker
    • Jianbin Wang
    Special Features
    Nature Biotechnology
    Volume: 39, P: 281-286

  • To mark the 15th anniversary of Nature Methods, we asked scientists from across diverse fields of basic biology research for their views on the most exciting and essential methodological challenges that their communities are poised to tackle in the near future.

    • Polina Anikeeva
    • Edward Boyden
    • Xiaowei Zhuang
    Special Features
    Nature Methods
    Volume: 16, P: 945-951

  • Senescent cells have complex and important roles in cancer and ageing, but they are quite rare and difficult to characterize in tissues in vivo. In this Expert Recommendation, the SenNet Biomarkers Working Group discusses recent advances in detecting and characterizing cellular senescence and provides recommendations for senescence markers in 14 human and mouse tissues.

    • Vidyani Suryadevara
    • Adam D. Hudgins
    • Nicola Neretti
    Reviews
    Nature Reviews Molecular Cell Biology
    Volume: 25, P: 1001-1023

  • Mammalian cells have about 30,000 times as many protein molecules as mRNA molecules, which has major implications in the development of proteomics technologies. We discuss strategies that have been helpful for counting billions of protein molecules by liquid chromatography–tandem mass spectrometry and suggest that these strategies can benefit single-molecule methods, especially in mitigating the challenges posed by the wide dynamic range of the proteome.

    • Michael J. MacCoss
    • Javier Antonio Alfaro
    • Nikolai Slavov
    Comments & Opinion
    Nature Methods
    Volume: 20, P: 339-346

  • Prioritized Single-Cell ProtEomics (pSCoPE) introduces the concept of using priority levels that define the temporal order of peptide analysis for single-cell proteomic analysis. Prioritized data acquisition aims to simultaneously optimize the consistency, sensitivity, depth and accuracy of protein quantification.

    • R. Gray Huffman
    • Andrew Leduc
    • Nikolai Slavov
    ResearchOpen Access
    Nature Methods
    Volume: 20, P: 714-722

  • A new dimension for analyzing mass spectrometry data allows rapid quantification of up to 70% more peptides.

    • Nikolai Slavov
    News & Views
    Nature Biotechnology
    Volume: 39, P: 809-810

  • nPOP is a method for parallel preparation of thousands of single cells in nanoliter-volume droplets deposited on glass slides by using the CellenONE instrument. This protocol describes the liquid handling for multiplexed mass spectrometry proteomics.

    • Andrew Leduc
    • Luke Khoury
    • Nikolai Slavov
    Protocols
    Nature Protocols
    Volume: 19, P: 3750-3776